This paper proposes a multi-agent system for energy management in a microgrid for smart home applications, the microgrid comprises a photovoltaic source, battery energy storage, electrical loads, and an energy management system (EMS) based on smart agents. The microgrid can be connected to the grid or operating in island mode. All distributed sources are implemented using MATLAB/Simulink to simulate a dynamic model of each electrical component. The agent proposed can interact with each other to find the best strategy for energy management using the java agent development framework (JADE) simulator. Furthermore, the proposed agent framework is also validated through a different case study, the efficiency of the proposed approach to schedule local resources and energy management for microgrid is analyzed. The simulation results verify the efficacy of the proposed approach using Simulink/JADE co-simulation.
A review of optimal operation of microgrids IJECEIAES
The term microgrid refers to small-scale power grid that can operate autonomously or in concurrence with the area’s main electrical grid. The intermittent characteristic of DGs which defies the power quality and voltage manifests the requirement for new planning and operation approaches for microgrids. Consequently, conventional optimization methods in new power systems have been critically biased all through the previous decade. One of the main technological and inexpensive tools in this regard is the optimal generation scheduling of microgrid. As a primary optimization tool in the planning and operation fields, optimal operation has an undeniable part in the power system. This paper reviews and evaluates the optimal operation approaches mostly related to microgrids. In this work, the foremost optimal generation scheduling approaches are compared in terms of their objective functions, techniques and constraints. To conclude, a few fundamental challenges occurring from the latest optimal generation scheduling techniques in microgrids are addressed.
Development of methods for managing energy consumption and energy efficiency...IJECEIAES
The work aims to analyze and examine renewable energy sources (RES) to develop interconnected energy efficiency and energy consumption management system by integrating the software-defined machine-tomachine (M2M) communication. The article’s objectives include analysis of using RES as alternative raw materials for electricity production, the study of intelligent technologies for integrating RES into monitoring and control systems, research of devices and methods for monitoring energy production and consumption, analysis of sensor application for automation of control systems in the energy sector, a study of data transmission and information processing rates. The study results showed that the data transfer rate was delayed by 6 seconds to process 1,000 MB of information. It has been proven that wind energy can be used most efficiently within a 12-hour daily cycle, in contrast to tidal energy and solar energy. It is shown that due to the cyclical nature of obtaining energy from renewable sources, they do not fully provide energy to a large city, on the basis of which it is necessary to additionally use other energy sources. Three different types of power generation facilities were examined and compared. Wind farms were found to have the highest potential for electricity generation, amounting to 1,600-1,700 kW.
Defining Control Strategies for Micro Grids Islanded Operation with Maximum P...IAES-IJPEDS
This paper explains about an intelligent control method for the maximum
power point tracking (MPPT) of a photo voltaic system with different
temperature and insolation conditions. This method uses a fuzzy logic
controller applied to a DC-DC converter. The different steps of the design of
this controller are presented together with its simulation and the feasibility of
control methods to be adopted for the operation of a micro grid when it
becomes isolated. Normally, the micro grid operates in interconnected mode
with the medium voltage network; however, scheduled or forced isolation
can take place. In such conditions, the micro grid must have the ability to
operate stably and autonomously. An evaluation of the need of storage
devices and load to take off strategies is included in this paper. The MPPT of
a photovoltaic system for Micro Grid operaion using a Fuzzy logic control
scheme is successfully designed and simulated by using MATLAB/Simulink
Software.
Interconnecting industrial multi-microgrids using bidirectional hybrid energy...IJECEIAES
Sharing and exchange energy among nearby industrial microgrids are crucial, especially with high energy requirements for their production targets and costly energy storage systems that may be oversized for their operations. Facilitating energy exchange can provide an economic advantage for industrial production by utilizing cheaper energy sources and reducing production costs. This manuscript presents an efficient approach for transferring large energy packets with minimal energy losses using
high-voltage direct current (HVDC) energy transmission. The manuscript methodology focuses on implementing an industrial multi-microgrid using a modular multilevel converter. This converter utilizes two power link channels: a three-phase AC and an HVDC link, creating a hybrid energy transmission between microgrids. When a substantial amount of energy to transfer, the HVDC method enhances overall efficiency by reducing copper losses and mitigating issues associated with the AC link, such as harmonics and skin effects. The modular multilevel converter topology offers high flexibility and the use of fewer converters. Additionally, the HVDC link eliminates distance restrictions for energy transfer between industrial microgrids. A case study illustrates the functionality of this topology, demonstrating optimized power transfer and decreased energy losses. This methodology allows industrial microgrids to enhance energy efficiency and productivity while minimizing operational costs.
The decline of competence effectuated by the unreplenishable energy etymology due to the plummet of fossil fuels has created an alternate need for renewable energy sources to play a vital role in providing power at a larger scale. Thus, a new system of distribution of energy resources is introduced to tackle the ever-growing demand for power and safety of the environment using renewable energy sources with the traditional ways of transmitting power. Such challenges can be overcome by using hybrid microgrids which helps in detecting and hegemonizing faults more dexterously sanctioning sharing of load and instinctive switching through various algorithms thus improving the system accuracy and adaptability. This exertion incorporates the modeling of an AC hybrid microgrid system analyzed in the is-landed mode. Fuel stack and the photo-voltaic cell are used as renewable energy power sources. It also includes the PID control method to the solution the most encountered problems in a microgrid. The engaged control modus operandi can modulate and regulate the output voltage at an expected and paradigm value. The whole AC hybrid microgrid and its control are simulated in MATLAB/simulink R2020b.
A review of optimal operation of microgrids IJECEIAES
The term microgrid refers to small-scale power grid that can operate autonomously or in concurrence with the area’s main electrical grid. The intermittent characteristic of DGs which defies the power quality and voltage manifests the requirement for new planning and operation approaches for microgrids. Consequently, conventional optimization methods in new power systems have been critically biased all through the previous decade. One of the main technological and inexpensive tools in this regard is the optimal generation scheduling of microgrid. As a primary optimization tool in the planning and operation fields, optimal operation has an undeniable part in the power system. This paper reviews and evaluates the optimal operation approaches mostly related to microgrids. In this work, the foremost optimal generation scheduling approaches are compared in terms of their objective functions, techniques and constraints. To conclude, a few fundamental challenges occurring from the latest optimal generation scheduling techniques in microgrids are addressed.
Development of methods for managing energy consumption and energy efficiency...IJECEIAES
The work aims to analyze and examine renewable energy sources (RES) to develop interconnected energy efficiency and energy consumption management system by integrating the software-defined machine-tomachine (M2M) communication. The article’s objectives include analysis of using RES as alternative raw materials for electricity production, the study of intelligent technologies for integrating RES into monitoring and control systems, research of devices and methods for monitoring energy production and consumption, analysis of sensor application for automation of control systems in the energy sector, a study of data transmission and information processing rates. The study results showed that the data transfer rate was delayed by 6 seconds to process 1,000 MB of information. It has been proven that wind energy can be used most efficiently within a 12-hour daily cycle, in contrast to tidal energy and solar energy. It is shown that due to the cyclical nature of obtaining energy from renewable sources, they do not fully provide energy to a large city, on the basis of which it is necessary to additionally use other energy sources. Three different types of power generation facilities were examined and compared. Wind farms were found to have the highest potential for electricity generation, amounting to 1,600-1,700 kW.
Defining Control Strategies for Micro Grids Islanded Operation with Maximum P...IAES-IJPEDS
This paper explains about an intelligent control method for the maximum
power point tracking (MPPT) of a photo voltaic system with different
temperature and insolation conditions. This method uses a fuzzy logic
controller applied to a DC-DC converter. The different steps of the design of
this controller are presented together with its simulation and the feasibility of
control methods to be adopted for the operation of a micro grid when it
becomes isolated. Normally, the micro grid operates in interconnected mode
with the medium voltage network; however, scheduled or forced isolation
can take place. In such conditions, the micro grid must have the ability to
operate stably and autonomously. An evaluation of the need of storage
devices and load to take off strategies is included in this paper. The MPPT of
a photovoltaic system for Micro Grid operaion using a Fuzzy logic control
scheme is successfully designed and simulated by using MATLAB/Simulink
Software.
Interconnecting industrial multi-microgrids using bidirectional hybrid energy...IJECEIAES
Sharing and exchange energy among nearby industrial microgrids are crucial, especially with high energy requirements for their production targets and costly energy storage systems that may be oversized for their operations. Facilitating energy exchange can provide an economic advantage for industrial production by utilizing cheaper energy sources and reducing production costs. This manuscript presents an efficient approach for transferring large energy packets with minimal energy losses using
high-voltage direct current (HVDC) energy transmission. The manuscript methodology focuses on implementing an industrial multi-microgrid using a modular multilevel converter. This converter utilizes two power link channels: a three-phase AC and an HVDC link, creating a hybrid energy transmission between microgrids. When a substantial amount of energy to transfer, the HVDC method enhances overall efficiency by reducing copper losses and mitigating issues associated with the AC link, such as harmonics and skin effects. The modular multilevel converter topology offers high flexibility and the use of fewer converters. Additionally, the HVDC link eliminates distance restrictions for energy transfer between industrial microgrids. A case study illustrates the functionality of this topology, demonstrating optimized power transfer and decreased energy losses. This methodology allows industrial microgrids to enhance energy efficiency and productivity while minimizing operational costs.
The decline of competence effectuated by the unreplenishable energy etymology due to the plummet of fossil fuels has created an alternate need for renewable energy sources to play a vital role in providing power at a larger scale. Thus, a new system of distribution of energy resources is introduced to tackle the ever-growing demand for power and safety of the environment using renewable energy sources with the traditional ways of transmitting power. Such challenges can be overcome by using hybrid microgrids which helps in detecting and hegemonizing faults more dexterously sanctioning sharing of load and instinctive switching through various algorithms thus improving the system accuracy and adaptability. This exertion incorporates the modeling of an AC hybrid microgrid system analyzed in the is-landed mode. Fuel stack and the photo-voltaic cell are used as renewable energy power sources. It also includes the PID control method to the solution the most encountered problems in a microgrid. The engaged control modus operandi can modulate and regulate the output voltage at an expected and paradigm value. The whole AC hybrid microgrid and its control are simulated in MATLAB/simulink R2020b.
Implementation of a decentralized real-time management system for electrical ...journalBEEI
Intelligent management of the electrical network is the implementation of an integrated system based on a reliable and secure communication architecture for transmitting end-to-end information between the equipment and the management system. The main objective of this work is to develop an intelligent telecontrol solution for the electrical distribution network combining communication techniques and an intelligent reconfiguration strategy. The solution is based on a graphic model and a secure communication architecture using the internet of things to ensure flexibility in terms of management of the intelligent network. This intelligent multi-criteria solution uses a secure communication architecture and the MQTT protocol to ensure system interoperability and security. The tests were carried out on the IEEE 33 bus network and consequently, an optimization of the losses and a clear improvement in the nodal voltage were recorded despite the variation of the electric charge.
Active and reactive power sharing in micro grid using droop control IJECEIAES
The development of renewable energy contributes to the global objectives of reducing our greenhouse gas emissions, obtaining and increasing our energy efficiency. In the face of these changes, the electric-network must adapt, while maintaining a high level of reliability and a quality of energy production. To meet this objective, it is recommended to use highly developed electrical network by integrating renewable energy sources in order to adapt the energy consumption to their production, using electrotechnical software information and telecommunications technologies. We are talking about intelligent grids (Smart Grid). The main objective of the work presented in this paper is the contribution to the study of intelligent network for efficient management of energy produced by several sources linked to the AC bus via the voltage inverters. Numerical simulations have been presented to validate the performance of the proposed active and reactive power controller (Droop Control).
Fuzzy logic-based controller of the bidirectional direct current to direct cu...IJECEIAES
Microgrids are small-scale power networks that include renewable energy sources, load, energy storage systems, and energy management systems (EMS). Lithium-ion batteries are the most used battery for energy storage in microgrids due to their advantages over other types of batteries. However, to protect the battery from the explosion and to manage to charge and discharge based on state-of-charge (SoC) value, this type of battery requires the use of an energy management system. The main objective of this paper is to propose an intelligent control strategy for energy management in the microgrid to control the charge and discharge of Li-ion batteries to stabilize the system and reduce the cost of electricity due to the high cost of grid electricity. The proposed technique is based on a fuzzy logic controller (FLC) for voltage control. The FLC is based on the measured voltage of the direct current (DC) bus and the fixed reference voltage to generate buck/boost converter signal control. The proposed technique has been simulated and tested using MATLAB/Simulink software which illustrates the tracking of desired power and DC bus voltage regulation. The simulation results confirm that the proposed systems can diminish the deviations of the system's voltage.
ENERGY MANAGEMENT ALGORITHMS IN SMART GRIDS: STATE OF THE ART AND EMERGING TR...ijaia
The electric grid is radically evolving into the smart grid, which is characterized by improved energy
efficiency of available resources. The smart grid permits interactions among its computational and physical
elements thanks to the integration of Information and Communication Technologies (ICTs). ICTs provide
energy management algorithms and allow renewable energy integration and energy price minimization.
Given the importance of renewable energy, many researchers developed energy management (EM)
algorithms to minimize renewable energy intermittency. EM plays an important role in the control of users'
energy consumption and enables increased consumer participation in the market. These algorithms provide
consumers with information about their energy consumption patterns and help them adopt energy-efficient
behaviour. In this paper, we present a review of the state of the energy management algorithms. We define
a set of requirements for EM algorithms and evaluate them qualitatively. We also discuss emerging tools
and trends in this area.
Optimal state estimation techniques for accurate measurements in internet of...IJECEIAES
The employment of microgrids in smart cities is not only changing the landscape of power generation, transmission, and distribution but it helps in green alleviation by converting passive consumers into active produces (using renewable energy sources). Real-time monitoring is a crucial factor in the successful adoption of microgrids. Real-time state estimation of a microgrid is possible through internet-of-things (IoT). State estimation can provide the necessary monitoring of grid for many system optimization applications. We will use raw and missing data before we learn from data, the processing must be done. This paper describes various Kalman variants use for preprocessing. In this paper a formulated approach along with algorithms are described for optimal state estimation and forecasting, with weights update using deep neural networks (DNN) is presented to enable accurate measurements at component and system level model analysis in an IoT enabled microgrid. The real load data experiments are carried out on the IEEE 118-bus benchmark system for the power system state estimation and forecasting. This research paves a way for developing a novel DNN based algorithms for a power system under dynamically varying conditions and corresponding time dependencies.
Reactive Power Sharing Droop Control Strategy for DG Units in an Islanded Mic...IJMTST Journal
The proposed method mainly includes two important operations: error reduction operation and voltage
recovery operation. The sharing accuracy is improved by the sharing error reduction operation, which is
activated by the low-bandwidth synchronization signals. However, the error reduction operation will result in
a decrease in output voltage amplitude. Therefore, the voltage recovery operation is proposed to compensate
the decrease., due to increasing the demand of electricity as well as rapid depletion of fossil fuels, and the
government policies on reduction of greenhouse gas emissions , renewable energy technologies are more
attractive and various types of distributed generation sources, such as wind turbine generators and solar
photo voltaic panels are being connected to low-voltage distribution networks. Micro grid is an integrated
system that contain in s distributed generation sources, control systems, load management, energy storage
and communication infrastructure capability to work in both grid connected and island mode to optimize
energy usage. The paper presents a advanced control technique for a micro grid system which works
efficiently under a decentralized control system.
Control of Hybrid AC DC Micro Grid Involving Energy Storage, Renewable Energy...ijtsrd
Electricity, a remarkable scientific gift to humanity, has fuelled a civilization where it is utilized for myriad purposes. Nevertheless, a paradigm shift is underway in recent times, transitioning from small generating units to large generating plants connected to distribution systems in the form of renewable energy powered micro grids. Reactive power in networks has different alignment and efficiency based on the power factor and setup stage. These rows can be classified as passive networks of independent variables based on the sequence inductance and shunting power of the rows. The reactive power flow does, however, have a number of drawbacks. By raising the attracted line at the same charge rate, it effectively lowers the attracted lines efficiency, service, and costs. This also decreases the proportion of energy stabilization. This article presents the modeling of hybrid micro grids for power system configuration performed in the MATLAB SIMULINK environment. The present work mainly covers the network operation mode of hybrid network. Models have been developed for all converters to maintain a stable system under various load and source conditions, and the control mechanism has also been studied. Dr. Shailendra Verma | Abhishek Janghel | Ashish Dewangan | Prashant Bawane "Control of Hybrid AC/DC Micro Grid Involving Energy Storage, Renewable Energy and Pulsed Loads" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55153.pdf Paper URL: https://www.ijtsrd.com.com/engineering/electrical-engineering/55153/control-of-hybrid-acdc-micro-grid-involving-energy-storage-renewable-energy-and-pulsed-loads/dr-shailendra-verma
Microgrid Technology with Distributed Energy - A Reviewijtsrd
As one of the key technologies to achieve the large scale application of distributed power generation, microgrid can overcome the randomness, intermittence and dispersity caused by distributed energy and promote the development and utilization of new energy and renewable energy to ease the shortage of energy all over the world. In this paper, the characteristics and key technology of microgrid and the challenges may exit during development of microgrid are briefly introduced. Microgrid complies with the requirements to promote renewable energy power generation and social sustainable development, and will definitely occupy a vital position in the development of grid construction. Aman Kumar | Mamta Sood | Dr. Manju Gupta "Microgrid Technology with Distributed Energy - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49648.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49648/microgrid-technology-with-distributed-energy---a-review/aman-kumar
Coordinated Control of Interconnected Microgrid and Energy Storage System IJECEIAES
Several microgrids can be interconnected together to enhance the grid reliability and reduce the cost of supplying power to an island area where conventional power grid cannot be connected. Source and load demand do not properly balance always. Besides that, sometimes power and frequency fluctuation has occurred in MG at island mode. Need to design a special control for maintaining the state of charge (SoC) of energy storage system. This paper proposes a new power supply system for an island area that interconnects two microgrids with a single energy storage system (ESS). An algorithm has been proposed that control the microgrids energy storage system for spinning reserve and load power/frequency regulation purpose. The minimum loading constraints of diesel engine generator (DEG) is considered and the SOC of the ESS is properly maintained.
Microgrid Technology with Distributed Energy - A Reviewijtsrd
As one of the key technologies to achieve the large scale application of distributed power generation, microgrid can overcome the randomness, intermittence and dispersity caused by distributed energy and promote the development and utilization of new energy and renewable energy to ease the shortage of energy all over the world. In this paper, the characteristics and key technology of microgrid and the challenges may exit during development of microgrid are briefly introduced. Microgrid complies with the requirements to promote renewable energy power generation and social sustainable development, and will definitely occupy a vital position in the development of grid construction. Nilesh Pandurang | Pramod Kumar Rathore "Microgrid Technology with Distributed Energy - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49423.pdf Paper URL: https://www.ijtsrd.com/engineering/other/49423/microgrid-technology-with-distributed-energy---a-review/nilesh-pandurang
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Abstract The demand for high quality electricity and growing electricity consumption has been caused by increasing electrification of daily life causes and the rising number of sensitive or critical loads. Due to the rapid increase in global energy consumption and the diminishing of fossil fuels, the customer demand for new generation capacities and efficient energy production, delivery and utilization keeps rising. The micro grid concept has the potential to solve major problems arising from large penetration of distributed generation in distribution systems. A proper control strategy should be implemented for a successful operation of a micro grid . Different load models can be simulated and analyzed using MATLAB and PSCAD software. In this paper, the work done in the field of Micro Grid has been reviewed. Keywords: DER, MG, PCC, PV, VSI.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Research trends on microgrid systems: a bibliometric network analysis IJECEIAES
The numeral of academic publications in the microgrid system field has rapidly grown. A microgrid system is a group of interconnected distributed generation, loads, and energy storage operating as a single controllable entity. Many published articles recently focused on distributed generation, system control, system stability, power quality, architectures, and broader focus areas. This work analyzes microgrid: alternating current (AC), direct current (DC), and hybrid AC/DC microgrid systems with bibliometric network analysis through descriptive analysis, authors analysis, sources analysis, words analysis, and evolutionary path based on the Scopus database between 2010 and 2021. The finding helps find out the top authors and most impact sources, most relevant and frequently used in the research title, abstract, and keyword, graphically mapping the research evolved and identifying trend topic.
Optimal control in microgrid using multi agent reinforcement learningISA Interchange
This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid- connected mode. Firstly, the microgrid control requirements are analyzed and the objective function of optimal control for microgrid is proposed. Then, a state variable ‘‘Average Electricity Price Trend’’ which is used to express the most possible transitions of the system is developed so as to reduce the complexity and randomicity of the microgrid, and a multi-agent architecture including agents, state variables, action variables and reward function is formulated. Furthermore, dynamic hierarchical reinforcement learning, based on change rate of key state variable, is established to carry out optimal policy exploration. The analysis shows that the proposed method is beneficial to handle the problem of ‘‘curse of dimensionality’’ and speed up learning in the unknown large-scale world. Finally, the simulation results under JADE (Java Agent Development Framework) demonstrate the validity of the presented method in optimal control for a microgrid with grid-connected mode.
A survey on power management strategies of hybrid energy systems in microgrid IJECEIAES
The power generation through renewable energy resources is increasing vastly, Solar energy and Wind Energy are the most abundantly available renewable energy resources. The growth of small scale distributed grid networks increasing rapidly in the modern power systems and Distributed Generation (DG) plays a predominant role. Microgrid is one among the emerging techniques in power systems. Power Management is mainly required to have control over the real and reactive power of individual DG and for smooth operation, maintaining stability and reliability. This paper presents a survey of the research works already reported focusing on power management of hybrid energy systems such as mainly solar and wind systems in microgrid. Six different approaches have been studied in detail for AC, DC and hybrid AC/DC microgrid.
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
More Related Content
Similar to Microgrid energy management system for smart home using multi-agent system
Implementation of a decentralized real-time management system for electrical ...journalBEEI
Intelligent management of the electrical network is the implementation of an integrated system based on a reliable and secure communication architecture for transmitting end-to-end information between the equipment and the management system. The main objective of this work is to develop an intelligent telecontrol solution for the electrical distribution network combining communication techniques and an intelligent reconfiguration strategy. The solution is based on a graphic model and a secure communication architecture using the internet of things to ensure flexibility in terms of management of the intelligent network. This intelligent multi-criteria solution uses a secure communication architecture and the MQTT protocol to ensure system interoperability and security. The tests were carried out on the IEEE 33 bus network and consequently, an optimization of the losses and a clear improvement in the nodal voltage were recorded despite the variation of the electric charge.
Active and reactive power sharing in micro grid using droop control IJECEIAES
The development of renewable energy contributes to the global objectives of reducing our greenhouse gas emissions, obtaining and increasing our energy efficiency. In the face of these changes, the electric-network must adapt, while maintaining a high level of reliability and a quality of energy production. To meet this objective, it is recommended to use highly developed electrical network by integrating renewable energy sources in order to adapt the energy consumption to their production, using electrotechnical software information and telecommunications technologies. We are talking about intelligent grids (Smart Grid). The main objective of the work presented in this paper is the contribution to the study of intelligent network for efficient management of energy produced by several sources linked to the AC bus via the voltage inverters. Numerical simulations have been presented to validate the performance of the proposed active and reactive power controller (Droop Control).
Fuzzy logic-based controller of the bidirectional direct current to direct cu...IJECEIAES
Microgrids are small-scale power networks that include renewable energy sources, load, energy storage systems, and energy management systems (EMS). Lithium-ion batteries are the most used battery for energy storage in microgrids due to their advantages over other types of batteries. However, to protect the battery from the explosion and to manage to charge and discharge based on state-of-charge (SoC) value, this type of battery requires the use of an energy management system. The main objective of this paper is to propose an intelligent control strategy for energy management in the microgrid to control the charge and discharge of Li-ion batteries to stabilize the system and reduce the cost of electricity due to the high cost of grid electricity. The proposed technique is based on a fuzzy logic controller (FLC) for voltage control. The FLC is based on the measured voltage of the direct current (DC) bus and the fixed reference voltage to generate buck/boost converter signal control. The proposed technique has been simulated and tested using MATLAB/Simulink software which illustrates the tracking of desired power and DC bus voltage regulation. The simulation results confirm that the proposed systems can diminish the deviations of the system's voltage.
ENERGY MANAGEMENT ALGORITHMS IN SMART GRIDS: STATE OF THE ART AND EMERGING TR...ijaia
The electric grid is radically evolving into the smart grid, which is characterized by improved energy
efficiency of available resources. The smart grid permits interactions among its computational and physical
elements thanks to the integration of Information and Communication Technologies (ICTs). ICTs provide
energy management algorithms and allow renewable energy integration and energy price minimization.
Given the importance of renewable energy, many researchers developed energy management (EM)
algorithms to minimize renewable energy intermittency. EM plays an important role in the control of users'
energy consumption and enables increased consumer participation in the market. These algorithms provide
consumers with information about their energy consumption patterns and help them adopt energy-efficient
behaviour. In this paper, we present a review of the state of the energy management algorithms. We define
a set of requirements for EM algorithms and evaluate them qualitatively. We also discuss emerging tools
and trends in this area.
Optimal state estimation techniques for accurate measurements in internet of...IJECEIAES
The employment of microgrids in smart cities is not only changing the landscape of power generation, transmission, and distribution but it helps in green alleviation by converting passive consumers into active produces (using renewable energy sources). Real-time monitoring is a crucial factor in the successful adoption of microgrids. Real-time state estimation of a microgrid is possible through internet-of-things (IoT). State estimation can provide the necessary monitoring of grid for many system optimization applications. We will use raw and missing data before we learn from data, the processing must be done. This paper describes various Kalman variants use for preprocessing. In this paper a formulated approach along with algorithms are described for optimal state estimation and forecasting, with weights update using deep neural networks (DNN) is presented to enable accurate measurements at component and system level model analysis in an IoT enabled microgrid. The real load data experiments are carried out on the IEEE 118-bus benchmark system for the power system state estimation and forecasting. This research paves a way for developing a novel DNN based algorithms for a power system under dynamically varying conditions and corresponding time dependencies.
Reactive Power Sharing Droop Control Strategy for DG Units in an Islanded Mic...IJMTST Journal
The proposed method mainly includes two important operations: error reduction operation and voltage
recovery operation. The sharing accuracy is improved by the sharing error reduction operation, which is
activated by the low-bandwidth synchronization signals. However, the error reduction operation will result in
a decrease in output voltage amplitude. Therefore, the voltage recovery operation is proposed to compensate
the decrease., due to increasing the demand of electricity as well as rapid depletion of fossil fuels, and the
government policies on reduction of greenhouse gas emissions , renewable energy technologies are more
attractive and various types of distributed generation sources, such as wind turbine generators and solar
photo voltaic panels are being connected to low-voltage distribution networks. Micro grid is an integrated
system that contain in s distributed generation sources, control systems, load management, energy storage
and communication infrastructure capability to work in both grid connected and island mode to optimize
energy usage. The paper presents a advanced control technique for a micro grid system which works
efficiently under a decentralized control system.
Control of Hybrid AC DC Micro Grid Involving Energy Storage, Renewable Energy...ijtsrd
Electricity, a remarkable scientific gift to humanity, has fuelled a civilization where it is utilized for myriad purposes. Nevertheless, a paradigm shift is underway in recent times, transitioning from small generating units to large generating plants connected to distribution systems in the form of renewable energy powered micro grids. Reactive power in networks has different alignment and efficiency based on the power factor and setup stage. These rows can be classified as passive networks of independent variables based on the sequence inductance and shunting power of the rows. The reactive power flow does, however, have a number of drawbacks. By raising the attracted line at the same charge rate, it effectively lowers the attracted lines efficiency, service, and costs. This also decreases the proportion of energy stabilization. This article presents the modeling of hybrid micro grids for power system configuration performed in the MATLAB SIMULINK environment. The present work mainly covers the network operation mode of hybrid network. Models have been developed for all converters to maintain a stable system under various load and source conditions, and the control mechanism has also been studied. Dr. Shailendra Verma | Abhishek Janghel | Ashish Dewangan | Prashant Bawane "Control of Hybrid AC/DC Micro Grid Involving Energy Storage, Renewable Energy and Pulsed Loads" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-2 , April 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd55153.pdf Paper URL: https://www.ijtsrd.com.com/engineering/electrical-engineering/55153/control-of-hybrid-acdc-micro-grid-involving-energy-storage-renewable-energy-and-pulsed-loads/dr-shailendra-verma
Microgrid Technology with Distributed Energy - A Reviewijtsrd
As one of the key technologies to achieve the large scale application of distributed power generation, microgrid can overcome the randomness, intermittence and dispersity caused by distributed energy and promote the development and utilization of new energy and renewable energy to ease the shortage of energy all over the world. In this paper, the characteristics and key technology of microgrid and the challenges may exit during development of microgrid are briefly introduced. Microgrid complies with the requirements to promote renewable energy power generation and social sustainable development, and will definitely occupy a vital position in the development of grid construction. Aman Kumar | Mamta Sood | Dr. Manju Gupta "Microgrid Technology with Distributed Energy - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49648.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49648/microgrid-technology-with-distributed-energy---a-review/aman-kumar
Coordinated Control of Interconnected Microgrid and Energy Storage System IJECEIAES
Several microgrids can be interconnected together to enhance the grid reliability and reduce the cost of supplying power to an island area where conventional power grid cannot be connected. Source and load demand do not properly balance always. Besides that, sometimes power and frequency fluctuation has occurred in MG at island mode. Need to design a special control for maintaining the state of charge (SoC) of energy storage system. This paper proposes a new power supply system for an island area that interconnects two microgrids with a single energy storage system (ESS). An algorithm has been proposed that control the microgrids energy storage system for spinning reserve and load power/frequency regulation purpose. The minimum loading constraints of diesel engine generator (DEG) is considered and the SOC of the ESS is properly maintained.
Microgrid Technology with Distributed Energy - A Reviewijtsrd
As one of the key technologies to achieve the large scale application of distributed power generation, microgrid can overcome the randomness, intermittence and dispersity caused by distributed energy and promote the development and utilization of new energy and renewable energy to ease the shortage of energy all over the world. In this paper, the characteristics and key technology of microgrid and the challenges may exit during development of microgrid are briefly introduced. Microgrid complies with the requirements to promote renewable energy power generation and social sustainable development, and will definitely occupy a vital position in the development of grid construction. Nilesh Pandurang | Pramod Kumar Rathore "Microgrid Technology with Distributed Energy - A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49423.pdf Paper URL: https://www.ijtsrd.com/engineering/other/49423/microgrid-technology-with-distributed-energy---a-review/nilesh-pandurang
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Abstract The demand for high quality electricity and growing electricity consumption has been caused by increasing electrification of daily life causes and the rising number of sensitive or critical loads. Due to the rapid increase in global energy consumption and the diminishing of fossil fuels, the customer demand for new generation capacities and efficient energy production, delivery and utilization keeps rising. The micro grid concept has the potential to solve major problems arising from large penetration of distributed generation in distribution systems. A proper control strategy should be implemented for a successful operation of a micro grid . Different load models can be simulated and analyzed using MATLAB and PSCAD software. In this paper, the work done in the field of Micro Grid has been reviewed. Keywords: DER, MG, PCC, PV, VSI.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Research trends on microgrid systems: a bibliometric network analysis IJECEIAES
The numeral of academic publications in the microgrid system field has rapidly grown. A microgrid system is a group of interconnected distributed generation, loads, and energy storage operating as a single controllable entity. Many published articles recently focused on distributed generation, system control, system stability, power quality, architectures, and broader focus areas. This work analyzes microgrid: alternating current (AC), direct current (DC), and hybrid AC/DC microgrid systems with bibliometric network analysis through descriptive analysis, authors analysis, sources analysis, words analysis, and evolutionary path based on the Scopus database between 2010 and 2021. The finding helps find out the top authors and most impact sources, most relevant and frequently used in the research title, abstract, and keyword, graphically mapping the research evolved and identifying trend topic.
Optimal control in microgrid using multi agent reinforcement learningISA Interchange
This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid- connected mode. Firstly, the microgrid control requirements are analyzed and the objective function of optimal control for microgrid is proposed. Then, a state variable ‘‘Average Electricity Price Trend’’ which is used to express the most possible transitions of the system is developed so as to reduce the complexity and randomicity of the microgrid, and a multi-agent architecture including agents, state variables, action variables and reward function is formulated. Furthermore, dynamic hierarchical reinforcement learning, based on change rate of key state variable, is established to carry out optimal policy exploration. The analysis shows that the proposed method is beneficial to handle the problem of ‘‘curse of dimensionality’’ and speed up learning in the unknown large-scale world. Finally, the simulation results under JADE (Java Agent Development Framework) demonstrate the validity of the presented method in optimal control for a microgrid with grid-connected mode.
A survey on power management strategies of hybrid energy systems in microgrid IJECEIAES
The power generation through renewable energy resources is increasing vastly, Solar energy and Wind Energy are the most abundantly available renewable energy resources. The growth of small scale distributed grid networks increasing rapidly in the modern power systems and Distributed Generation (DG) plays a predominant role. Microgrid is one among the emerging techniques in power systems. Power Management is mainly required to have control over the real and reactive power of individual DG and for smooth operation, maintaining stability and reliability. This paper presents a survey of the research works already reported focusing on power management of hybrid energy systems such as mainly solar and wind systems in microgrid. Six different approaches have been studied in detail for AC, DC and hybrid AC/DC microgrid.
Similar to Microgrid energy management system for smart home using multi-agent system (20)
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Microgrid energy management system for smart home using multi-agent system
1. International Journal of Electrical and Computer Engineering (IJECE)
Vol. 12, No. 2, April 2022, pp. 1153~1160
ISSN: 2088-8708, DOI: 10.11591/ijece.v12i2.pp1153-1160 1153
Journal homepage: http://ijece.iaescore.com
Microgrid energy management system for smart home using
multi-agent system
Reda Jabeur1
, Younes Boujoudar2
, Mohamed Azeroual2
, Ayman Aljarbouh3
, Najat Ouaaline1
1
Department of Electrical and Mechanical Engineering, Faculty of Science and Technology, Hassan 1st University Settat, Settat,
Morocco
2
Department of Electrical Engineering, Faculty of Sciences and Technology, Sidi Mohamed Ben Abdullah University, Fez, Morocco
3
Department of Computer Science, University of Central Asia, Naryn, Kyrgyzstan
Article Info ABSTRACT
Article history:
Received Jun 17, 2021
Revised Sep 11, 2021
Accepted Oct 11, 2021
This paper proposes a multi-agent system for energy management in a
microgrid for smart home applications, the microgrid comprises a
photovoltaic source, battery energy storage, electrical loads, and an energy
management system (EMS) based on smart agents. The microgrid can be
connected to the grid or operating in island mode. All distributed sources are
implemented using MATLAB/Simulink to simulate a dynamic model of
each electrical component. The agent proposed can interact with each other
to find the best strategy for energy management using the java agent
development framework (JADE) simulator. Furthermore, the proposed agent
framework is also validated through a different case study, the efficiency of
the proposed approach to schedule local resources and energy management
for microgrid is analyzed. The simulation results verify the efficacy of the
proposed approach using Simulink/JADE co-simulation.
Keywords:
Energy management
Energy storage system
MACSimJX
Microgrid
Multi-agent system
Smart home This is an open access article under the CC BY-SA license.
Corresponding Author:
Reda Jabeur
Department of Electrical and Mechanical Engineering, Faculty of Science and Technology, Hassan 1st
University Settat
Settat, Morocco
Email: r.jabeur@uhp.ac.ma
1. INTRODUCTION
The electrical system should be produced to offer new technologies behind the global dependency
on renewable powers. This renewables sources have a large influence on the power grid system quality and
balance. The electrical grid traditional is growing to be the intelligent electrical network (smart grid) to
making the power production more durable, sustainable, and low economy. The notion of a smart grid is the
integration of the electrical power and the information and communication technology for data transmission
between all electrical components (sources, loads, and transformers) to ensure the real-time balance between
supply and demand and to increase the power grid stability [1].
Microgrids are small-scale power grids produced to provide a stable power supply to a small
number of consumers. The microgrid combines various local and distributed generation facilities (wind
generators, fuel cells, small diesel generators, photovoltaic generators, and small hydropower), consumption
equipment, storage system, and supervision and monitoring center. The balance between consumption and
production is necessary to manage the energy and to ensure the reliability of microgrid (MG). A microgrid is
a medium or low-voltage hybrid power generation system that integrates small-scale energy producers
renewable as primary resources to produce high-quality energy to a few consumers. The microgrid can run in
mode connected to the main grid high or medium voltage by the common coupling point (PCC) or can also
operate totally in an isolated mode [2], [3]. The power grid structure of MG is defined by the application and
2. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 12, No. 2, April 2022: 1153-1160
1154
user specifications. The MG can be divided into three main groups: alternating current (AC) microgrids,
direct current (DC) microgrids, and hybrid microgrids. One of the principal goals of the energy management
system (EMS) is to attain a very important level of suppleness and also the system must be able to adapt to
most of the variations in the structure of microgrids. The MG operation is controlled using microgrid central
controller (MGCC) and local controllers [4]. In this paper, a microgrid is available is considered to provide
local energy to the smart home.
The energy management of some complex systems such as microgrids requires a distributed
intelligence system. A multi-agent system (MAS) is a multilayer and complex system based on smart agents
enable to communicate between them for achieving a general objective at decentralized management of
electrical energy system. Various applications of MAS, particularly in MG energy management have several
functionalities in electrical power such as identified MG optimization method carried out by increasing the
renewable sources and monitoring electrical power exchange with the main power grid [5]. MAS application
in microgrid energy management has been proposed by many authors, some of which are presented here.
Power management is implemented out by MASs to satisfy the consumer’s load request from the
grid and to enhance electrical power according to the deficiency or surplus power information in [6]. The
surveillance of MG systems based on the cooperative capacity of agents probably offers optimal results and a
suitable dynamic director for the MG activities [7]. The implementation of a MAS for the high-level
microgrid control and demand-side supervision of a solar microgrid for a smart home is introduced in [8]. A
MAS for power flow control in the microgrid connected to the main power grid is proposed in [9]. The MG
component-based on wind and photovoltaic sources, diesel generators, energy storage systems, and EMS.
Liang et al. [10] proposed a combination control technique for an autonomous MG that is composed of
energy control using MAS. Logenthiran et al. [11] offers a multi-agent method for energy source scheduling
of power systems with renewable energies for many microgrids with lumped loads. It manages each
microgrid alone first and then the microgrids are rescheduled to satisfy the total demand. MAS with
supervisory control and data acquisition system was considered in [12] to efficiently run and control a
distributed energy sources inside a micro-grid system using Java agent development framework (JADE).
This paper proposed a new system based on a MAS for energy management in the MG. The smart
technique is developed using a co-simulation (combine MATLAB/Simulink and JADE) platform for a real-
time simulation. The electrical components are modeled using MATLAB/Simulink, and the MAS interaction
performed using JADE.
The rest of the paper is organized as follows. The multi-agent system technique is discussed in
section. 2. The microgrid architecture is given in section 3. The energy management approach is proposed in
section 4. Simulation and discussion are given in section 5. The conclusion of this paper is given in section 6.
2. MULTI-AGENT SYSTEM TECHNIQUE
All distributed system with many continuing cooperation and communications is practically
infeasible. These challenges have increased the development of approaches to a distributed system (power
grid) based on agents, which present techniques for correspondence and continuous interaction. A MAS is a
distributed method based on different agents, to run concurrently to solve challenges that are continuously
from their capacities or knowledge of individual agent (node) [13].
MAS is among the methods of distributed artificial intelligence (DAI). Multi-agents cover a method
to develop new decentralized systems first than centralized, developing rather than intended, and cooperative
rather than consecutive, with many benefits. MAS has inherent advantages such as flexibility, autonomy, and
a decrease in problem complexity. Each agent has some behaviors and techniques to satisfy specific goals
using their sources, experiences, and co-operations [14].
Agents run commonly simultaneously to update system data based on any change in the microgrid.
In this paper, the electrical elements of the microgrid and the proposed multi-agent system are simulated on
two separate simulators. The MATLAB/Simulink platform is applied to design and simulate the elements of
the microgrid and the JADE tool is applied to estimate the efficiency of the multi-agent algorithm proposed.
A communication interface between MATLAB/Simulink and JADE is provided via the MACSimJX
Middleware [15]. The results of agent actions are control signals sent back to Simulink through the Windows
pipe server [16].
3. MICROGRID ARCHITECTURE
Microgrids are small power grids created to produce stable and better-quality electricity provide to a
few consumers. They mixed various energy sources such as (wind generator, fuel cells, small diesel
generators, photovoltaic sources, and small hydropower), storages systems as a backup energy system, and
3. Int J Elec & Comp Eng ISSN: 2088-8708
Microgrid energy management system for smart home using multi-agent system (Reda Jabeur)
1155
AC/DC load for the energy consumption [17]. Analysis of microgrids in the literature largely centers on
constant voltage (DC) and variable voltage (AC) type microgrids [18]. This is determined by the quality of
the voltage at the bus used. In the DC type microgrid, the elements of the DC microgrid are connected to the
DC_Bus.
The microgrid used in this paper joins many distributed power sources and home loads. Two sources
are considered in this microgrid and two types of loads (AC load and DC load). The photovoltaic (PV) and
battery energy systems are used to supply the load demand as shown in Figure 1.
Figure 1. Microgrid control by MAS
3.1. PV model
A photovoltaic cell can be modelled with the equivalent electric circuit. The latter consists of a
current generator and a parallel diode with a standard resistor (shunt) 𝑅𝑠 to take account of the following
dissipative phenomena at the cellular level. The diode current can be written as:
𝐼𝑑 = 𝐼0 (𝑒𝑥𝑝
𝑉𝑝𝑣 + 𝑅𝑠 𝐼
𝑉𝑇 − 1)
(1)
and PV generator output current of the of the 𝑁𝑠 series of cells can be written as:
𝐼𝑃𝑉 = 𝐼𝑝ℎ − 𝐼0 (𝑒𝑥𝑝
𝑉𝑝𝑣 + 𝑅𝑠 𝐼
𝑉𝑇 − 1) −
𝑉
𝑝𝑣 + 𝑅𝑠 𝐼
𝑅𝑠ℎ (2)
𝑉𝑇 =
𝑁𝑠 𝑛 𝑘 𝑇
𝑞
with, VT: the thermal voltage, 𝑁𝑠: cells connected in series, n: the diode ideality constant, q: is the electron
charge, k: is the Boltzmann constant, T: is the temperature of the p-n junction, 𝐼𝑝ℎ: the photo-current, and 𝐼0:
reverse saturation currents of the diode.
To obtain the maximum power generated by the PV generator to transfer it to the load, a static
converter (DC/DC power converter) is used as an adapter between the PV generator and the load. An
maximum power point tracking (MPPT) controller is used to control the Boost converter to provide the
maximum power efficiency at any time [19]. Various MPPT algorithms are able of discovering the MPP
4. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 12, No. 2, April 2022: 1153-1160
1156
based on the evolution of the power supplied by the PV generator, such as the perturb and observe algorithm
(P&O) [20] and the incremental conductance method, the P&O method is generally the most used one due to
its simplicity and ease of use and realization [21].
3.2. Energy storage system for microgrid
Lithium batteries are the preferred battery type for many storage system due to their advantages
compared with the other battery types. Furthermore, unlike other battery types, Li-ion battery electrolyte is a
volatile, highly flammable liquid that burns rapidly and readily [22]. Therefore, the state of charge (SOC) is
considered in the energy management strategy to protect the battery against the overcharging and over
discharging. The SOC of battery charged is defined by the (3):
SOC(%) = 100 [1 − (
1
𝑄𝑏𝑎𝑡
. ∫ 𝑖𝑏𝑎𝑡(𝑡) 𝑑𝑡
𝑡
0
)]
(3)
where:
𝑄𝑏𝑎𝑡 : Battery capacity (Ah)
𝑖𝑏𝑎𝑡 : Battery current (A)
Lithium-ion batteries have been considered in previous years due to their advantage (high energy
density, long life cycle, and no memory effect) compared with the other type of battery storage system. In
this work, the battery storage system will be used as a power source when renewable sources are insufficient
to meet load demand and as a load when they have enough power to keep the system balanced [23]. A
bidirectional DC/DC converter connected the lithium-ion battery to the microgrid [24].
The bidirectional DC/DC converter allows power to be transferred in either direction between the
battery and the DC Bus. They are increasingly being employed as a connection between the battery and
microgrid system to control battery charging and discharging because of their capacity to reverse the
direction of current flow, and power, while keeping the voltage polarity at either end unchanged [25].
The battery storage system consists of a Li-ion battery and a bidirectional DC-DC converter. This
converter controlled by an agent, and it’ responsible for maintaining and stabilizing the DC bus voltage
through the controller as shown in Figure 2. The converter employed in this research is a half-bridge
insulated-gate bipolar transistor (IGBT). The converter can operate in boost mode to discharge the battery or
in buck mode to store the excess energy on the DC bus as shown in the Figure 2.
Figure 2. Battery storage system with agent controller
4. THE MAS APPROACH FOR ENERGY MANAGEMENT
The multi-agent systems proposed for the management of the microgrid consist of four intelligent
agents: control agent (CA), battery agent (BA), load agent (LA), and PV agent.
− Control agent (CA): it is in charge of managing the energy exchange between the microgrid's various
units, as well as confirming the shortage or excess of energy in the bus. It is also in charge of microgrid
control when connected to the grid.
5. Int J Elec & Comp Eng ISSN: 2088-8708
Microgrid energy management system for smart home using multi-agent system (Reda Jabeur)
1157
− Battery agent (BA): it plays a key role in the management of microgrid by providing energy requested by
consumers when production is insufficient. He receives the order from the CA to absorb the excess
energy or to provide it when there is a deficit. The storage agent is based on the SOC value to accept or
reject the CA proposal.
− Load agent (LA): is largely responsible for the control and management of consumer status. The la
collects load data such as power, current, and voltage to be sent to the control agent to meet expected
consumer demand.
− PV agent: Primarily responsible for monitoring power generator, able to perform tasks based on generator
capacity and collect data such as real-time power output and the availability of sources. The ability of
each agent to interact with and communicate with other agents distinguishes it. The primary goal of the
proposed energy management is to maintain a balance between production and consumption.
5. SIMULATION AND RESULTS
To validate our energy management approach, we have considered some simulation scenarios that
the micro-grid is brought to face in real operation. The studied small hybrid solar battery technical details are
described in Table 1. Because renewable energies are intermittent, the electricity generated from them is not
stable over time. As a result, there are two distinct modes of processing at the DC BUS: surplus or absence of
energy. MATLAB/Simulink is used to simulate the proposed single-phase hybrid energy system. I n this
simulation, the solar energy source is linked to a boost converter to extract the maximum power from it. As a
result, the P&O MPPT technique is used to monitor the maximum power of the PV panel.
The simulation runs for 3 seconds with 1e-5 sampling time to display the voltage at the DC Bus for
various solar irradiation values. To demonstrate the robustness of our management strategy in the face of
harsh changes in meteorological conditions, we have chosen a scenario with multiple irradiation changes to
represent all possible scenarios. The Figure 3 and Figure 4 shown the proposed solar irradiation scenario and
the power produced during this scenario.
Table 1. Technical details of the proposed microgrid system
System Characteristic
DC_BUS VDC=220 V, VAC=220 V
Battery Type: Li-ION, V=48 V; Qbatt=250 AH
PV System Ns: 6, Np=10
Load (AC+DC) PLDC=5 KW, PLAC=5 KW
Figure 3. Solar irradiation scenario (W/m²)
As we can see from the Figure 4, the power produced using the solar panel is not stable o the time,
which mean another source for stability is needed. The Figure 5 shows the battery state of charge variation,
as we discussed before the main role of the battery is to grantee the energy stability on the bus using charging
in case of energy surplus in the bus, as show between [0 to 0.7] and [2.1 to 3]. In addition, to provide the
stored energy in case of needed energy at the bus [0.7 to 2.1]. The Figure 6 and Figure 7 show the variation
6. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 12, No. 2, April 2022: 1153-1160
1158
of the bus DC and AC voltage during the simulation respectively, we can see the effectiveness of the energy
management strategy in the stabilization of voltage in the both buses.
Figure 8 depicts the signal sinusoidal 220 V of the voltage at the AC Bus over a small interval
between 1.5 and 1.8. Based on multi-agent system communication, the proposed technique ensures a quick
return of the real powers to their steady-state conditions in order to maintain the balance between generation
and demand. The simulation results presented above demonstrate the advancement and efficiency of the
multi-agent approach strategy proposed using co-simulation in the Simulink and JADE environments.
Figure 4. Solar power (W)
Figure 5. Battery state of charge (%)
Figure 6. Voltage at the Bus_DC
7. Int J Elec & Comp Eng ISSN: 2088-8708
Microgrid energy management system for smart home using multi-agent system (Reda Jabeur)
1159
Figure 7. Voltage at the Bus_AC
Figure 8. Voltage at the Bus_AC
6. CONCLUSION
In this study, a decentralized multiagents system for energy management in microgrid connected to
the main grid for smart home application has been proposed. The proposed MAS can be controlled the
dynamic loads of smart home according to the available PV source and the SOC of the battery. Based on the
MAS algorithm, the agents communicated with each other in a distributed for best energy management.
According to the simulation results, the agents are able to dynamically adapt to changes in the system
configuration for environmental events such as changes in solar irradiation and battery state of charge. The
simulation of the proposed technique guarantees faster efficiency and also guarantees the safety of the energy
supply based on the data transfer between the agents.
REFERENCES
[1] M. Azeroual, T. Lamhamdi, H. El Moussaoui, and H. El Markhi, “Simulation tools for a smart grid and energy management for
microgrid with wind power using multi-agent system,” Wind Engineering, vol. 44, no. 6, pp. 661–672, Jul. 2020, doi:
10.1177/0309524X19862755.
[2] Y. Boujoudar, M. Azeroual, H. El Moussaoui, and T. Lamhamdi, “Intelligent controller based energy management for stand-alone
power system using artificial neural network,” International Transactions on Electrical Energy Systems, vol. 30, no. 11, Aug.
2020, doi: 10.1002/2050-7038.12579.
[3] M. Azeroual, T. Lamhamdi, H. El Moussaoui, and H. El Markhi, “Intelligent energy management system of a smart microgrid
using multiagent systems,” Archives of Electrical Engineering, vol. 69, no. 1, pp. 23–38, 2020, doi: 10.24425/aee.2020.131756.
[4] A. Ahmad Khan, M. Naeem, M. Iqbal, S. Qaisar, and A. Anpalagan, “A compendium of optimization objectives, constraints,
tools and algorithms for energy management in microgrids,” Renewable and Sustainable Energy Reviews, vol. 58, pp. 1664–1683,
May 2016, doi: 10.1016/j.rser.2015.12.259.
[5] M. W. Khan, J. Wang, M. Ma, L. Xiong, P. Li, and F. Wu, “Optimal energy management and control aspects of distributed
microgrid using multi-agent systems,” Sustainable Cities and Society, vol. 44, pp. 855–870, Jan. 2019, doi:
10.1016/j.scs.2018.11.009.
[6] J. Klaimi, R. Rahim-Amoud, L. Merghem-Boulahia, and A. Jrad, “A novel loss-based energy management approach for smart
8. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 12, No. 2, April 2022: 1153-1160
1160
grids using multi-agent systems and intelligent storage systems,” Sustainable Cities and Society, vol. 39, pp. 344–357, May 2018,
doi: 10.1016/j.scs.2018.02.038.
[7] N. Hatziargyriou, "Microgrids: architectures and control," Wiley-IEEE Press, 2014.
[8] L. Raju, R. S. Milton, and S. Mahadevan, “Multiagent systems based modeling and implementation of dynamic energy
management of smart microgrid using MACSimJX,” Scientific World Journal, vol. 2016, pp. 1–14, 2016, doi:
10.1155/2016/9858101.
[9] E. Samadi, A. Badri, and R. Ebrahimpour, “Decentralized multi-agent based energy management of microgrid using
reinforcement learning,” International Journal of Electrical Power and Energy Systems, vol. 122, Nov. 2020, Art. no. 106211,
doi: 10.1016/j.ijepes.2020.106211.
[10] X. Liang, X. Li, R. Lu, X. Lin, and X. Shen, “UDP: Usage-based dynamic pricing with privacy preservation for smart grid,” IEEE
Transactions on Smart Grid, vol. 4, no. 1, pp. 141–150, Mar. 2013, doi: 10.1109/TSG.2012.2228240.
[11] T. Logenthiran, D. Srinivasan, and A. M. Khambadkone, “Multi-agent system for energy resource scheduling of integrated
microgrids in a distributed system,” Electric Power Systems Research, vol. 81, no. 1, pp. 138–148, Jan. 2011, doi:
10.1016/j.epsr.2010.07.019.
[12] A. M. A. El-Rahim, M. Abd-El-Geliel, and A. Helal, “Micro grid energy management using multi-agent systems,” in 2016 18th
International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings, Dec. 2017, pp. 772–779, doi:
10.1109/MEPCON.2016.7836981.
[13] C. M. Colson and M. H. Nehrir, “Comprehensive real-time microgrid power management and control with distributed agents,”
IEEE Transactions on Smart Grid, vol. 4, no. 1, pp. 617–627, Mar. 2013, doi: 10.1109/TSG.2012.2236368.
[14] T. T. Nguyen, N. D. Nguyen, and S. Nahavandi, “Deep reinforcement learning for multiagent systems: A review of challenges,
solutions, and applications,” IEEE Transactions on Cybernetics, vol. 50, no. 9, pp. 3826–3839, Sep. 2020, doi:
10.1109/TCYB.2020.2977374.
[15] W. T. Botelho et al., “Toward an interdisciplinary integration between multi-agents systems and multi-robots systems: A case
study,” Knowledge Engineering Review, vol. 35, 2020, doi: 10.1017/S0269888920000375.
[16] F. Bellifemine, A. Poggi, and G. Rimassa, “JADE – A FIPA-compliant agent framework,” in Proceedings of PAAM, 1999,
pp. 97–108.
[17] C. R. Robinson, P. Mendham, and T. Clarke, “MACSimJX: A tool for enabling agent modelling with simulink using JADE,”
Journal of Physical Agents, vol. 4, no. 3, pp. 1–7, 2010, doi: 10.14198/JoPha.2010.4.3.01.
[18] S. Parhizi, H. Lotfi, A. Khodaei, and S. Bahramirad, “State of the art in research on microgrids: A review,” IEEE Access, vol. 3,
pp. 890–925, 2015, doi: 10.1109/ACCESS.2015.2443119.
[19] Z. Yi, W. Dong, and A. H. Etemadi, “A unified control and power management scheme for PV-Battery-based hybrid microgrids
for both grid-connected and islanded modes,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5975–5985, Nov. 2018, doi:
10.1109/TSG.2017.2700332.
[20] Y. H. Liu, C. L. Liu, J. W. Huang, and J. H. Chen, “Neural-network-based maximum power point tracking methods for
photovoltaic systems operating under fast changing environments,” Solar Energy, vol. 89, pp. 42–53, Mar. 2013, doi:
10.1016/j.solener.2012.11.017.
[21] I. W. Christopher and R. Ramesh, “Comparative study of P&O and InC MPPT algorithms,” American Journal of Engineering
Research (AJER), vol. 2, no. 12, pp. 402–408, 2013.
[22] A. Safari and S. Mekhilef, “Simulation and hardware implementation of incremental conductance MPPT with direct control
method using cuk converter,” IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1154–1161, Apr. 2011, doi:
10.1109/TIE.2010.2048834.
[23] B. Diouf and R. Pode, “Potential of lithium-ion batteries in renewable energy,” Renewable Energy, vol. 76, pp. 375–380, Apr.
2015, doi: 10.1016/j.renene.2014.11.058.
[24] B. Kroposki, “Integrating high levels of variable renewable energy into electric power systems,” Journal of Modern Power
Systems and Clean Energy, vol. 5, no. 6, pp. 831–837, Nov. 2017, doi: 10.1007/s40565-017-0339-3.
[25] A. J. Albarakati et al., “Real-time energy management for DC microgrids using artificial intelligence,” Energies, vol. 14,
no. 17, Aug. 2021, Art. no. 5307, doi: 10.3390/en14175307.