Now-a-days Renewable Energy Sources became an alternative to meet the increasing load demand because they are environmental friendly and also available abundant in nature. Among the Renewable Energy Sources, the Photo Voltaic (PV) System is gaining more attention due abundant availability of solar energy. The Maximum Power Point Tracking Technique is used to extract maximum power from the Photo Voltaic (PV) Array. When there is a need to transfer bulk amount of power from PV Array to Power Grid, the power quality issues, especially the real and reactive power flow problems, are a major concern. In this paper a novel control technique was proposed to control the power flow and to deal with power quality issues that arise when PV Array is integrated with power grid. It consists of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device, namely Unified Power Flow Controller, for effective control of real and reactive power flow in grid connected photovoltaic system. The output of the Fuzzy Logic Controller is a control vector which is fine tuned by using Genetic Algorithm approach.
OPTIMAL PLACEMENT OF DISTRIBUTED GENERATION FOR LOSS REDUCTION IN DISTRIBUTIO...ijiert bestjournal
Due to the increasing interest on renewable sources in recent times,the studies on integration of distributed generation to the power grid have rapid ly increased. Distributed generations (DGs) play an important role in distribution networks. Am ong many of their merits,loss reduction and voltage profile improvement can be the salient spec ifications of Distributed generations (DG). Non-optimal locations and non-optimal sizes of Dist ributed generations (DG) units may lead to increase losses,together with bad effect on voltag e profile. Proper location of Distributed generations (DGs) in power systems is important for obtaining their maximum potential benefits. Distributed generation (DG) units reduce electric p ower losses and hence improve reliability and voltage profile. Determination of appropriate size and location of Distributed generation (DG) is important to maximize overall system efficiency. In this project,Newton raphson method optimization technique has been presented to determ ine the appropriate size and proper allocation of Distributed generation (DG) in a dist ribution network.So,this project focus towards,at determining optimal DG allocation and s izing as well as analyzing the impact of Distributed generation (DG) in an electric power sy stem in terms of voltage profile improvement and line loss reduction
This article presents the system design and prediction performance of a 1kW capacity grid-tied photovoltaic inverter applicable for low or medium-voltage electrical distri-bution networks. System parameters, for instance, the longitude and latitude of the solar plant location, panel orientation, tilt and azimuth angle calculation, feasibility testing, optimal sizing of installment are analyzed in the model and the utility is sim-ulated precisely to construct an efficient solar power plant for residential applications. In this paper, meteorological data are computed to discuss the impact of environmen-tal variables. As regards ensuring reliability and sustenance, a simulation model of the system of interest is tested in the PVsyst software package. Simulation results yield that the optimum energy injected to the national grid from the solar plant, specific pro-duction, and performance ratio are 1676kWh/year, 1552kWh/kWp/year, and 79.29% respectively. Moreover, the predicted carbon footprint reduction is 23.467 tons during the 30 years lifetime of the system. Therefore, the performance assessments affirm the effectiveness of the proposed research.
SPACE VECTOR MODULATION BASED INDUCTION MOTOR DRIVEpreeti naga
This paper describes an analysis of local PV-wind hybrid systems for supplying electricity to a private house, farmhouse or a small company with electrical power depending on the need at the site. The major system components, work principle and specific working condition are presented in this paper
OPTIMAL PLACEMENT OF DISTRIBUTED GENERATION FOR LOSS REDUCTION IN DISTRIBUTIO...ijiert bestjournal
Due to the increasing interest on renewable sources in recent times,the studies on integration of distributed generation to the power grid have rapid ly increased. Distributed generations (DGs) play an important role in distribution networks. Am ong many of their merits,loss reduction and voltage profile improvement can be the salient spec ifications of Distributed generations (DG). Non-optimal locations and non-optimal sizes of Dist ributed generations (DG) units may lead to increase losses,together with bad effect on voltag e profile. Proper location of Distributed generations (DGs) in power systems is important for obtaining their maximum potential benefits. Distributed generation (DG) units reduce electric p ower losses and hence improve reliability and voltage profile. Determination of appropriate size and location of Distributed generation (DG) is important to maximize overall system efficiency. In this project,Newton raphson method optimization technique has been presented to determ ine the appropriate size and proper allocation of Distributed generation (DG) in a dist ribution network.So,this project focus towards,at determining optimal DG allocation and s izing as well as analyzing the impact of Distributed generation (DG) in an electric power sy stem in terms of voltage profile improvement and line loss reduction
This article presents the system design and prediction performance of a 1kW capacity grid-tied photovoltaic inverter applicable for low or medium-voltage electrical distri-bution networks. System parameters, for instance, the longitude and latitude of the solar plant location, panel orientation, tilt and azimuth angle calculation, feasibility testing, optimal sizing of installment are analyzed in the model and the utility is sim-ulated precisely to construct an efficient solar power plant for residential applications. In this paper, meteorological data are computed to discuss the impact of environmen-tal variables. As regards ensuring reliability and sustenance, a simulation model of the system of interest is tested in the PVsyst software package. Simulation results yield that the optimum energy injected to the national grid from the solar plant, specific pro-duction, and performance ratio are 1676kWh/year, 1552kWh/kWp/year, and 79.29% respectively. Moreover, the predicted carbon footprint reduction is 23.467 tons during the 30 years lifetime of the system. Therefore, the performance assessments affirm the effectiveness of the proposed research.
SPACE VECTOR MODULATION BASED INDUCTION MOTOR DRIVEpreeti naga
This paper describes an analysis of local PV-wind hybrid systems for supplying electricity to a private house, farmhouse or a small company with electrical power depending on the need at the site. The major system components, work principle and specific working condition are presented in this paper
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.
Challenges and Benefits of Integrating the Renewable Energy Technologies into...Power System Operation
In the recent decent, renewable energy has been becoming one of the independent energy sources in human life, and it will be a major resources for the future generation of power. Today, some people tend to use renewable energy in their home or land such as solar or wind energy. Most of those have two inputs of the power source; the utility power supply and renewable energy power supply, so the integration of renewable technologies variable generation sources within Ac grid has been made, but this connection is not easily reachable. This paper will be reviewed the challenges and benefits of integrating renewable energy into power system grid. A review of the integration process will be introduced. Also, the paper will discuss some difficulties that face the integration such as power quality requirements that must be achieved to get this connection successfully. Forecasting of renewable energy such availability of power at any time, the amount of variation in power output, the speed of variation, and the location of RE source are other challenges that may obstruct the successful incorporation of renewable energy and the grid. In addition, the paper will briefly show a device that can be used in homes to achieve this connection. Finally, advantages of the integration for both the power utility and the green energy owner will be present, and how this integration can affect our environment. Solar energy and wind energy will be used in this paper as examples of renewable energy. Keywords: grid, green energy, integration, global warming, renewable energy RE
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.
Hybrid Micro Grid Architectures and ChallengesIJMTST Journal
The distribution system is part of the electric power system that links the bulk transmission system and the
individual customers. Increasing environmental concerns, consumer expectations in terms of reliability &
better quality of power supply and improving economics of distributed energy resources (DER) based on
renewable, is making Micro Grid a viable proposition. Present electrical distribution system offers many
technical & operational glitches for successful integration of Micro Grid Technologies. Modern Power systems
are smart, interconnected, interdependent, load sharing and phased mission systems. Micro grids are
composed by distributed generators, energy storage devices, intelligent circuit breakers and local loads. In
this paper, a review of the main micro grid architectures proposed in the literature has been carried out. The
micro grid architectures are first classified regarding their AC or DC distribution buses. Besides, more
complex micro grid architectures will be discussed. Both advantages and disadvantages of each one of the
micro grid families will be discussed.
Design and Modeling of Grid Connected Hybrid Renewable Energy Power GenerationIJERA Editor
This paper proposes a design and modeling of grid connected hybrid renewable energy power generation. The
energy system having a photo voltaic (PV) panel, Srg wind turbine and fuel cell (sofc) for continuous power
flow management. Fuel cells (storage & generating) are added to ensure uninterrupted power supply due to the
discontinuous nature of solar and wind resources. Renewable energy generated during times of plenty can be
stored for use during periods when sufficient electricity is not available. But storing this energy is a difficult
task: batteries and similar technologies perform well over short timescales, but over periods of weeks or months
a different approach is necessary. Energy storage in the form of hydrogen is one such possibility: excess
electricity is fed into an electrolyser to split water into its constituent parts, oxygen and hydrogen. The hydrogen
is then used in fuel cells to produce electricity when needed which will overcome the problem of storage. This
work is mainly concentrated on the design, analysis and modelling of Fuel cells and Analysis and modelling of
Switched Reluctance Generator (SRG) in the application of Wind Energy Generation and pv cell. Also an
effective approach is proposed in this thesis to ensure renewable energy diversity and effective utilization. The
pv cell, wind and fuel cell renewable energy system is digitally simulated using the MATLAB/SIMULINK
software environment and fully validated for efficient energy utilizations and enhanced interface power quality
under different operating conditions and load excursions
Stability check of doubly fed induction generator (DFIG) micro grid power systemjournalBEEI
As of late, expanding interest of renewable energy and consumption of non-renewable energy source have prompted developing advancement of renewable energy technology, for example, wind energy. Wind energy has turned out to be one of the reliable sources of renewable energy, which requests extra transmission capacity and better methods for sustaining system reliability. As of now, doubly fed induction generator wind turbine is the most well-known wind turbine. This paper focuses on DFIG wind farm design using MATLAB/SIMULINK and also investigates the issues of the system stability of the DFIG wind turbine micro grid power system. This analysis includes the changes of voltage, current, real power and reactive power based on various conditions of the power system.
Grid integrated system
study on Integration of DG’s
Key challenges observed
Modelling and study of hybrid systems under different fault conditions
Propose suitable methods to over come some of these challenges
Impact of Shading, Soiling and Temperature on Solar Photovoltaic SystemYogeshIJTSRD
The main objective of this research paper is to study the effect due to shading, temperature, dust accumulation, snow, birddropping. The power output of the solar panels dependent upon the amount of sun radiation which reaches the solar cells and converts it into electrical energy through inverters. A various types of solar cells are used to manufacture the solar panels like Mono crystalline and polycrystalline. Many factors affect the performance of solar panels and efficiency of PV cells. Experiment was done by using some particles of sand 15g,20g , coal 30g , impact of building trees shading at 10m and 20m and at different temperature cold and hot .The power output of both clean and soiling ,without shading or with shading, at high or low temperature is included. The paper will also include the methods by which we can reduce the impact of dust, shading, high or too low temperature and improving the efficiency of solar panels. Ishrat Nabi "Impact of Shading, Soiling and Temperature on Solar Photovoltaic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43823.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/43823/impact-of-shading-soiling-and-temperature-on-solar-photovoltaic-system/ishrat-nabi
PV to Grid Connected Cascaded T type Multilevel Inverter with Improved Harmon...ijtsrd
Multilevel inverters act as a promising solution for medium voltage, high power applications due to their modularity and reduced voltage stress across the switches. Cascaded T Bridge Multilevel Inverters CTB MLI are being considered as the best choice for grid connected Photovoltaic PV systems since they require several sources on the DC side. By means of MLI’s, high quality output with less harmonic distortion is obtained compared to a two level inverter. In this work, a comparative analysis of three levels of MLI’s is presented. Control scheme based on Sinusoidal Pulse Width Modulation SPWM is adopted due to its ease of implementation. More number of levels results in reduced THD and nearly sinusoidal output. Simulation is performed using MATLAB Simulink. Md Janish Alam | Mr. Sarvesh Pratap Singh "PV to Grid Connected Cascaded T-type Multilevel Inverter with Improved Harmonic Performance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1 , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52629.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/52629/pv-to-grid-connected-cascaded-ttype-multilevel-inverter-with-improved-harmonic-performance/md-janish-alam
SALIENT FEATURES OF GRID-CONNECTED PHOTOVOLTAIC SYSTEM AND ITS IMPACT ON POWE...Editor IJMTER
Solar energy is available to the world for free of cost from millions of years and it is a
basic energy source to the mankind. It is also one of largest energy source to the mankind. PV
systems are a relative new technology. The operational experience with PV systems itself is at an
acceptable high level and today’s installed PV systems are of a good quality and are able to operate
without any problems for many years. The price level of the PV modules and the Balance of System
costs (inverter included) have decreased significantly. This energy is available all around the world
in large quantity. When this energy is collected by the solar PV cells it is in the small power with the
D.C. supply, which is not compatible with the existing grid in the world. There is an inverter and the
converter stage comes before this energy can used. Grid interactive PV systems can vary
substantially in size.
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.
Challenges and Benefits of Integrating the Renewable Energy Technologies into...Power System Operation
In the recent decent, renewable energy has been becoming one of the independent energy sources in human life, and it will be a major resources for the future generation of power. Today, some people tend to use renewable energy in their home or land such as solar or wind energy. Most of those have two inputs of the power source; the utility power supply and renewable energy power supply, so the integration of renewable technologies variable generation sources within Ac grid has been made, but this connection is not easily reachable. This paper will be reviewed the challenges and benefits of integrating renewable energy into power system grid. A review of the integration process will be introduced. Also, the paper will discuss some difficulties that face the integration such as power quality requirements that must be achieved to get this connection successfully. Forecasting of renewable energy such availability of power at any time, the amount of variation in power output, the speed of variation, and the location of RE source are other challenges that may obstruct the successful incorporation of renewable energy and the grid. In addition, the paper will briefly show a device that can be used in homes to achieve this connection. Finally, advantages of the integration for both the power utility and the green energy owner will be present, and how this integration can affect our environment. Solar energy and wind energy will be used in this paper as examples of renewable energy. Keywords: grid, green energy, integration, global warming, renewable energy RE
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.
Hybrid Micro Grid Architectures and ChallengesIJMTST Journal
The distribution system is part of the electric power system that links the bulk transmission system and the
individual customers. Increasing environmental concerns, consumer expectations in terms of reliability &
better quality of power supply and improving economics of distributed energy resources (DER) based on
renewable, is making Micro Grid a viable proposition. Present electrical distribution system offers many
technical & operational glitches for successful integration of Micro Grid Technologies. Modern Power systems
are smart, interconnected, interdependent, load sharing and phased mission systems. Micro grids are
composed by distributed generators, energy storage devices, intelligent circuit breakers and local loads. In
this paper, a review of the main micro grid architectures proposed in the literature has been carried out. The
micro grid architectures are first classified regarding their AC or DC distribution buses. Besides, more
complex micro grid architectures will be discussed. Both advantages and disadvantages of each one of the
micro grid families will be discussed.
Design and Modeling of Grid Connected Hybrid Renewable Energy Power GenerationIJERA Editor
This paper proposes a design and modeling of grid connected hybrid renewable energy power generation. The
energy system having a photo voltaic (PV) panel, Srg wind turbine and fuel cell (sofc) for continuous power
flow management. Fuel cells (storage & generating) are added to ensure uninterrupted power supply due to the
discontinuous nature of solar and wind resources. Renewable energy generated during times of plenty can be
stored for use during periods when sufficient electricity is not available. But storing this energy is a difficult
task: batteries and similar technologies perform well over short timescales, but over periods of weeks or months
a different approach is necessary. Energy storage in the form of hydrogen is one such possibility: excess
electricity is fed into an electrolyser to split water into its constituent parts, oxygen and hydrogen. The hydrogen
is then used in fuel cells to produce electricity when needed which will overcome the problem of storage. This
work is mainly concentrated on the design, analysis and modelling of Fuel cells and Analysis and modelling of
Switched Reluctance Generator (SRG) in the application of Wind Energy Generation and pv cell. Also an
effective approach is proposed in this thesis to ensure renewable energy diversity and effective utilization. The
pv cell, wind and fuel cell renewable energy system is digitally simulated using the MATLAB/SIMULINK
software environment and fully validated for efficient energy utilizations and enhanced interface power quality
under different operating conditions and load excursions
Stability check of doubly fed induction generator (DFIG) micro grid power systemjournalBEEI
As of late, expanding interest of renewable energy and consumption of non-renewable energy source have prompted developing advancement of renewable energy technology, for example, wind energy. Wind energy has turned out to be one of the reliable sources of renewable energy, which requests extra transmission capacity and better methods for sustaining system reliability. As of now, doubly fed induction generator wind turbine is the most well-known wind turbine. This paper focuses on DFIG wind farm design using MATLAB/SIMULINK and also investigates the issues of the system stability of the DFIG wind turbine micro grid power system. This analysis includes the changes of voltage, current, real power and reactive power based on various conditions of the power system.
Grid integrated system
study on Integration of DG’s
Key challenges observed
Modelling and study of hybrid systems under different fault conditions
Propose suitable methods to over come some of these challenges
Impact of Shading, Soiling and Temperature on Solar Photovoltaic SystemYogeshIJTSRD
The main objective of this research paper is to study the effect due to shading, temperature, dust accumulation, snow, birddropping. The power output of the solar panels dependent upon the amount of sun radiation which reaches the solar cells and converts it into electrical energy through inverters. A various types of solar cells are used to manufacture the solar panels like Mono crystalline and polycrystalline. Many factors affect the performance of solar panels and efficiency of PV cells. Experiment was done by using some particles of sand 15g,20g , coal 30g , impact of building trees shading at 10m and 20m and at different temperature cold and hot .The power output of both clean and soiling ,without shading or with shading, at high or low temperature is included. The paper will also include the methods by which we can reduce the impact of dust, shading, high or too low temperature and improving the efficiency of solar panels. Ishrat Nabi "Impact of Shading, Soiling and Temperature on Solar Photovoltaic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43823.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/43823/impact-of-shading-soiling-and-temperature-on-solar-photovoltaic-system/ishrat-nabi
PV to Grid Connected Cascaded T type Multilevel Inverter with Improved Harmon...ijtsrd
Multilevel inverters act as a promising solution for medium voltage, high power applications due to their modularity and reduced voltage stress across the switches. Cascaded T Bridge Multilevel Inverters CTB MLI are being considered as the best choice for grid connected Photovoltaic PV systems since they require several sources on the DC side. By means of MLI’s, high quality output with less harmonic distortion is obtained compared to a two level inverter. In this work, a comparative analysis of three levels of MLI’s is presented. Control scheme based on Sinusoidal Pulse Width Modulation SPWM is adopted due to its ease of implementation. More number of levels results in reduced THD and nearly sinusoidal output. Simulation is performed using MATLAB Simulink. Md Janish Alam | Mr. Sarvesh Pratap Singh "PV to Grid Connected Cascaded T-type Multilevel Inverter with Improved Harmonic Performance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1 , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52629.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/52629/pv-to-grid-connected-cascaded-ttype-multilevel-inverter-with-improved-harmonic-performance/md-janish-alam
SALIENT FEATURES OF GRID-CONNECTED PHOTOVOLTAIC SYSTEM AND ITS IMPACT ON POWE...Editor IJMTER
Solar energy is available to the world for free of cost from millions of years and it is a
basic energy source to the mankind. It is also one of largest energy source to the mankind. PV
systems are a relative new technology. The operational experience with PV systems itself is at an
acceptable high level and today’s installed PV systems are of a good quality and are able to operate
without any problems for many years. The price level of the PV modules and the Balance of System
costs (inverter included) have decreased significantly. This energy is available all around the world
in large quantity. When this energy is collected by the solar PV cells it is in the small power with the
D.C. supply, which is not compatible with the existing grid in the world. There is an inverter and the
converter stage comes before this energy can used. Grid interactive PV systems can vary
substantially in size.
Exponential growth in the energy demand on account of rising population and economic growth,
increasing apprehensions of energy security coupled with climate change and global warming concerns are some
of the major drivers for pushing the renewable energy (RE) to the top of the energy portfolio. Among various
renewable energy resources, wind and solar PV systems are experiencing rapid growth since 2010. By the end of
2016, the world total capacity of wind power generation was 487 GW and that of solar PV was 303 GW,
aggregating to a penetration level of 4.0% and 1.5% respectively. Global renewable energy penetration till Dec.
2016, excluding conventional hydro share (of 16.6%) was only around 8.0%. However, many countries have set
target of 30% RE based electricity generation by 2030. India has an ambitious target of achieving 175 GW of RE
power by 2022, with 100 GW from solar, 60 GW from wind, 10 GW from biomass and 5 GW from small hydro.
Power generation from renewables often takes place through distributed generation (DG). These units, mostly
located in remote locations, are not centrally planned or dispatched, and are usually connected to distribution grids
at LV or MV levels. In few cases, large capacity RE generation are also connected to transmission networks. As a
result, the power generation structure is moving from the large, centralized plants to a mixed generation pool
consisting of traditional large plants and many smaller DG units. Most of the RE generators have electrical
characteristics that are different from the synchronous machines. Since a large group of DG technologies use
power electronics converters for grid connectivity, they introduce many technical issues related to the operation,
control and protection of the power system, impacting generators, transmission system and consumer devices.
This paper presents some of the technical issues and challenges that need to be addressed for the effective
grid integration of RE based power generators so that eventually, our reliance on polluting and expensive fossilbased
hydro-carbon driven power generation can be reduced substantially.
Stability model integration for large scale solar photovoltaic system using ...IJECEIAES
Due to the increased demand for renewable energy, the interest in the large-scale solar photovoltaic (LSSPV) power plant has recently grown dramatically. However, when a large amount of electricity is produced from the LSSPV power plant to the grid interconnection, the system commonly experiences instability and thus disrupt the grid system in disturbance issues such as bus fault, line-to-line fault, three-phase fault, and tripping. This sudden disturbance occurrence is tended to interrupt the stability of the system from providing balanced electrical production within the electrical grid. A dynamics response from the simulation is used to study the stability and the behavior of the photovoltaic (PV) plant into the grid interconnection by developing 118 bus system. The observation of critical clearing time (CCT) duration shows that the result from the simulation where the duration takes less than t=15 s for the system to get back to its pre-fault condition in three-phase fault and tripping in a dynamic simulation to shows that the system reaches its stability been observed through the simulation result by using from user-specific models to generic models like those advocated by the Western electricity coordinating council (WECC) in power system simulator for engineering (PSSE) software.
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.
Control Strategy for Distributed Integration of Photovoltaic and Battery Ener...TELKOMNIKA JOURNAL
The micro-grid deployments are growing with independently, power system designers,
manufacturers and researchers for the applications where the loads are more efficient association with
extra output sources such as Battery Energy Storage System (BESS), and Photovoltaic (PV) systems.
Using renewable source as main sources for micro-grid system also can avoid from the pollution to occur.
Energy storage when combined with PV system can provide a stronger economic performance, as well as
an added benefit of backup power for critical loads. This project proposed control strategies for integration
of BESS and PV in a micro-grid. The operation enables the maximum PV and BESS utilization during
different operating condition of the micro-grid, grid connected, islanded mode or a process between these
two operations. The project will focus on analyzing the performance between photovoltaic system and
battery in the simulations of micro-grids system and validate the simulation result using
MATLAB/SIMULINK software. After the simulation was analyzed, the understanding of benefit in using
renewable energy source as main power supply with support from battery energy storage to supply the
power to the loads and power managements is realized in the different modes on micro-grid which is grid
connected or islanded states. When the power generation from PV system was not enough to
accommodate electric loads, the BESS or from secondary side of transformer will supply the insufficient
power.
Design and performance analysis of PV grid-tied system with energy storage sy...IJECEIAES
With the increasing demand for solar energy as a renewable source has brought up new challenges in the field of energy. However, one of the main advantages of photovoltaic (PV) power generation technology is that it can be directly connected to the grid power generation system and meet the demand of increasing energy consumption. Large-scale PV grid-connected power generation system put forward new challenges on the stability and control of the power grid and the grid-tied photovoltaic system with an energy storage system. To overcome these problems, the PV grid-tied system consisted of 8 kW PV array with energy storage system is designed, and in this system, the battery components can be coupled with the power grid by AC or DC mode. In addition, the feasibility and flexibility of the maximum power point tracking (MPPT) charge controller are verified through the dynamic model built in the residential solar PV system. Through the feasibility verification of the model control mode and the strategy control, the grid-connected PV system combined with reserve battery storage can effectively improve the stability of the system and reduce the cost of power generation. To analyze the performance of the grid-tied system, some realtime simulations are performed with the help of the system advisor model (SAM) that ensures the satisfactory working of the designed PV grid-tied system.
Electric Vehicle as an Energy Storage for Grid Connected Solar Power SystemIAES-IJPEDS
In the past few years the growing demand for electricity and serious concern
for the environment have given rise to the growth of sustainable sources like
wind, solar, tidal, biomass etc. The technological advancement in power
electronics has led to the extensive usage of solar power. Solar power output
varies with the weather conditions and under shading conditions. With the
increasing concerns of the impacts of the high penetration of Photovoltaic
(PV) systems, a technical study about their effects on the power quality of
the utility grid is required. This paper investigates the functioning of a gridtied
PV system along with maximum power point tracking (MPPT)
algorithm. The effects of varying atmospheric conditions like solar irradiance
and temperature are also taken into account. It is proposed in this work that
an Electric Vehicle (EV) can be used as an energy storage to stabilize the
power supplied to the grid from the photovoltaic resources. A coordinated
control is necessary for the EV to obtain desired outcome. The modeling of
the PV and EV system is carried out in PSCAD and the proposed idea is
verified through simulation results utilizing real field data for solar irradiance
and temperature.
Design and control of renewable power system through wsn in mirogridtheijes
Recently the control of microgrid has been the focus of extensive research due to its flexibility to effectively utilize the micro-sources while ensuring reliability. The microgrid technology is one of the recent developments in the area of electric power systems that aid the use of non-conventional energy sources in parallel with the conventional energy sources. Monitoring and control of microgrid is essential for its efficient and effective functioning. The work presented in this paper is focused on the design, control and development of synchronization between non-conventional energy sources (photovoltaic panel) and conventional energy sources (battery) to satisfy the power demand of the grid by using WSN ( wireless sensor networks) technology. The objective of this paper is to propose a prototype to study the performance analysis of power monitoring between photovoltaic panel and battery by sensing parameters like generated power, availability of power reserve etc through WSN (ZigBee). The key simulation and experimental results are included to verify the proper operation and control of microgrid.
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterIJECEIAES
The extensive use of fossil fuel is destroying the balance of nature that could lead to many problems in the forthcoming era. Renewable energy resources are a ray of hope to avoid possible destruction. Smart grid and distributed power generation systems are now mainly built with the help of renewable energy resources. The integration of renewable energy production system with the smart grid and distributed power generation is facing many challenges that include addressing the issue of isolation and power quality. This paper presents a new approach to address the aforementioned issues by proposing a hybrid bypass technique concept to improve the overall performance of the grid-tied inverter in solar power generation. The topology with the proposed technique is presented using traditional H5, oH5 and H6 inverter. Comparison of topologies with literature is carried out to check the feasibility of the method proposed. It is found that the leakage current of all the proposed inverters is 9 mA and total harmonic distortion is almost about 2%. The proposed topology has good efficiency, common mode and differential mode characteristics.
The advent of micro grid has enticed a lot of interest in the research of distribution generation thereby bringing into existence an intelligent electrical generation networks. It ensures security, reliability, stability, and sustainable of energy. Micro grid may include both renewable and non-renewable energy sources. It has been proven to possess the promising potential of providing clean, efficient, and reliable power. The energy sources include solar photovoltaic, wind, fuel cell, micro turbine, bio- mass micro hydro. Various architecture of a micro grid are available and are developed the factors dependable upon availability of renewable resources, geographical location, load demand. For effective and efficient operation unlike main grid, it needs to employ special and control this is so because of combination of conventional and renewable energy sources.
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.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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.
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
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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2. ISSN: 2088-8708
IJECE Vol. 7, No. 1, February 2017 : 125 – 133
126
The power-electronic technology plays an important role in integration of renewable energy sources
into the electrical grid. During the last few years, power electronics has undergone a fast evolution, which is
mainly due to two factors. The first one is the development of fast semiconductor switches that are capable of
switching quickly and handling high powers. The second factor is the introduction of real-time computer
controllers that can implement advanced and complex control algorithms. A common feature of the
renewable energy based or micro sources based Distributed Generation systems is the power electronics
interfaces that required to convert the energy sources output to the grid ready voltages [2]. Due to increasing
power demand throughout the world, Photovoltaic (PV) power supplied to the utility grid is gaining more and
more visibility [3]. Not many PV systems have so far been placed into the grid due to the relatively high cost,
compared with more traditional energy sources such as oil, gas, coal, nuclear, hydro, and wind. Solid-state
inverters have been shown to be the enabling technology for putting PV systems into the grid [4].
Grid-connected PV systems are classified into two categories, one is distributed and the other is
centralized. Grid-connected distributed PV systems are installed to provide power to a grid-connected
customer or directly to the electric network. The advantages of these systems are low distribution losses in
the electric network as the system is installed at the point of use, extra land is not required and costs for
mounting the systems can be reduced if the system is mounted on an existing structure and the PV array itself
can be used as a cladding or roofing material, as in building-integrated PV. Typical sizes are 1 to 4kW for
residential systems, and 10kW to several MW for roof tops on public and industrial buildings.
Grid-connected centralized PV systems perform the functions of centralized power stations. The
power supplied by such a system is not associated with a particular electricity customer, and the system is not
located to specifically perform functions on the electricity network other than to supply bulk power.
Typically, centralized systems are mounted on the ground, and they are larger than 1MW. The economic
advantages of these systems are the optimization of installation and operating costs by bulk buying and the
cost effectiveness of the PV components and balance of systems on a large scale. In addition, there liability
of centralized PV systems can be greater than distributed PV systems because they can have maintenance
systems with monitoring equipment, which can be a smaller part of the total system cost [5].
2. PV CELL MODEL
Solar photovoltaic (PV) systems directly convert solar energy into electricity. PV Cell is the basic
building block of PV system, which is a semiconductor device that converts solar energy into direct current
electricity. PV cells are interconnected to form a PV module, typically 50 to 200W. The PV modules,
combined with a set of additional application dependent system components (e.g., inverters, batteries,
electrical components and mounting systems), form a PV system. PV systems are highly modular, i.e.,
modules can be linked together to provide power ranging from a few watts to tens of megawatts. The most
established solar PV technologies are silicon based systems. More recently, so called thin film modules,
which can also consist of non-silicon semiconductor material, have become increasingly important. Although
thin films generally have a lower efficiency than silicon modules, their price per unit of capacity is lower.
Solar PV combines two advantages. On the one hand, module manufacturing can be done in large
plants, which allows for economies of scale. On the other hand, PV is a very modular technology. Compared
to concentrating solar power (CSP), where sunlight is focused onto a smaller area, PV has the advantage that
it uses not only direct sunlight but also the diffuse component of sunlight, i.e., solar PV produces power even
if the sky is not completely clear. This capability allows the effective deployment in many more regions in
the world than for CSP [6].
The basic PV Cell model is shown in Figure 1.
Figure 1. Basic PV Cell Model
D
I
Rs
VRsh
Id
IPh
3. IJECE ISSN: 2088-8708
A Review on Fuzzy-GA Based Controller for Power Flow Control in Grid Connected .... (Raghu Thumu)
127
The current source is directly proportional to the light that focuses on the cell (photocurrent). The
output current of the current source is in fact related to solar irradiation and temperature, according to:
[ ( )] (1)
Where K1 is the cells short-circuit current temperature coefficient, Isc the cells short-circuit current at 25 °C,
T is the cell‟s temperature and G is the solar irradiance in W/m2
. Considering Id the current flowing through
the diode and I the output current, the I-V characteristic of the PV cell is defined by:
(2)
Where V is the output voltage of the solar cell, Rs the series resistance and Rsh the shunt resistance.
3. GRID CONNECTED PV SYSTEM
The grid connected photovoltaic (PV) system not only generates active power but also it acts as a
reactive power compensator, especially at peak hours, when the main grid needs reactive power higher than
average consumption. Due to the intermittent nature of solar power, voltage fluctuation is one potential issue
associated with grid integration. The intermittency in power occurs mainly due to two phenomena known as
„ramping‟ (the rapid output variations that occur as clouds pass overhead) and „cloud edge effect‟ (where the
edge of a cloud acts like a lens, when the sun is behind it).
Figure 2. Grid Connected PV System
In a conventional PV system, the PV cells (arranged in a single module, a string of series-connected
modules, or an array of parallel-connected strings) generate a dc current that greatly depends on the solar
irradiance, temperature, and voltage at the terminals of the PV system. This dc power is transformed and
interfaced to the grid via a PV inverter. Additional elements include a grid connection filter, a grid monitor or
interaction unit (for synchronization, measurements, anti island detection, etc.), and a low-frequency
transformer (which is optional depending on local regulations, the converter topology, and the modulation
used to control it). Another option is an intermediate dc–dc power stage between the PV modules and the
grid-tied inverter. This optional stage decouples the PV system operating point from the PV inverter grid
control. Additionally, it can boost the PV system dc output voltage if required or provide galvanic isolation
and perform maximum power point tracking (MPPT) control [7].
The increase in the PV installed capacity has also sparked a continuous evolution of the PV power
conversion stage. Gradually, PV power converters have become extremely efficient, compact, and reliable,
allowing the maximum power to be obtained from the sun in domestic, commercial, and industrial
applications [8],[9]. The major elements of a grid-connected PV system that does not include storage are
shown in Figure 2. The inverter may simply fix the voltage at which the array operates or use a maximum
power point tracking function to identify the best operating voltage for the array. The inverter operates in
phase with the grid (unity power factor), and is generally delivering as much power as it can to the electric
power grid given the available sunlight and temperature conditions. The inverter acts as a current source; it
produces a sinusoidal output current but does not act to regulate its terminal voltage in any way.
4. CONTROL STRATEGIES FOR GRID CONNECTED POWER CONVERTERS
Synchronous rotating reference frame, also denoted as dq frame, the control is implemented in a
reference frame which rotates with the same frequency as the grid angular frequency. In order to transform
AC
P
Q
GridDC - AC
Conversion
System
DC
Solar PV
Array
4. ISSN: 2088-8708
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128
the feedback variables in this reference frame, the phase angle of grid voltage is necessary (Equation (4)),
constituting a disadvantage of this structure. However, the control variables transformed in dq frame appear
as dc quantities, hence facilitating easier control and signal processing, e.g. filtering. In this situation,
employment of PI controllers for current regulation is appropriate, however, as Figure 3 illustrates, cross-
coupling terms and grid voltage feed-forward may be necessary in order to obtain best results
[ ] [ ] (3)
[ ] (4)
PWM driven voltage source inverters are largely utilized in drives applications especially where
adjustable speed is necessary [10]-[11].
Figure 3. Structure of control implemented in synchronous rotating reference frame using PI controllers for
current regulation
Normally, multiple cascaded loops are used to control PWM driven VSI converters. As illustrated in
Figure 3, the most common strategy is the dc-link voltage control cascaded with an inner current loop
control [12-18]. When implemented in a reference frame other than abc, control can be oriented to the grid
voltage vector or the virtual flux vector [19-20]. In the situation when reactive power control is demanded at
the point of common coupling, a reactive power controller can be used whereas, in case unity power factor is
a must, the reactive current reference iq
*
can be set to zero, hence no reactive power controller is necessary. A
third level loop controlling the grid frequency and the grid voltage amplitude can also be implemented in case
of Distributed Power Generation System, providing frequency and voltage control at the point of common
coupling.
Moreover, in the above strategies, the dc-link voltage control can be replaced by an active power
control [21-23] supposing that an active and reactive power reference is supplied to the grid side converter. In
addition, direct power control [24-25] is another possible control technique which can be applied to PWM
driven power converters.
5. GENETIC ALGORITHM
Now a day‟s, researchers have become increasingly showing interested in the use of Genetic
Algorithms to control various types of systems. These Algorithms are robust search techniques based on the
evolution principals. Extensive wide area research has been performed exploiting the robust properties of
Genetic Algorithms and showing their Capabilities across a broad range of problems. These evolutionary
methods have gained identification as general problem solving techniques in many applications, like
functional optimization, classification and machine learning, image processing, training of neural networks.
Genetic algorithm is popular optimization technique that maps input characteristics to output
characteristics with fulfilling of user require constraints. Proposed genetic algorithm in step by step
procedure is represented as follows:
Step1 : Individual solutions are randomly generated to form an Initial population.
id
+ v
q
vq
*
+
ωL
PI
Controller
iq
iq
*
Q
Controll
er
Q
*
Q
iq
+
vd
*
+
v
d
-
ωL
PI
Controller
id
*
id
DC-Link
Controll
er
vd
c
vdc
*
vd
c
vqvdid iq
v
c
vb
v
a
i
c
ib
i
a
Modulati
on and
PWM
Inverter
abc
dq
abc
dq
PL
L
5. IJECE ISSN: 2088-8708
A Review on Fuzzy-GA Based Controller for Power Flow Control in Grid Connected .... (Raghu Thumu)
129
Step2 : The degree of conformity of each object is calculated and an individual is reproduced under a fixed
Rule depending on the degree of conformity.
Step3 : Two parents from the existing population to perform Crossover.
Step4 : Choose random mutation „or‟ alternate bit mutation Control the mutation.
Step5 : Termination with condition
The following code gives the basic algorithmic steps for GA [26].
t=0;
initialize P(t)
evaluate structures in P(t)
repeat
t= t+1
select- reproduction C(t) from: P(t-1)
combine and mutate structures in C(t) forming C'(t);
evaluate structures in C'(t)
select-replace P(t) from C '(t) and P(t+ 1);
Until (termination condition satisfied)
After the initial population of individuals is generated (usually randomly) and individual‟s structures
are evaluated, the loop is entered. Then a selection buffer C(t) is created to accommodate the selected copies
from P(t-l), "select-reproduction". In the Holland original GA, individuals are selected probabilistically by
assigning each individual a probability proportional to its structural fitness. Thus, better individuals are given
more opportunity to produce offspring. Next the variation operators (mutation and crossover) are applied to
the individuals in C(t) buffer producing offspring C(t). After evaluating the structural fitness of C(t), the
selection method is applied to select replacement for P(t) from C'(t) and P(t-1).
6. FUZZY LOGIC CONTROLLER
The main elements of the Fuzzy Logic Controller are the fuzzifier at the input terminal, rule base or
knowledge base, inference engine and defuzzifier at the output terminal as shown in Figure 4. The input
variables and output variables are the required variables in the Fuzzy Logic Control System. The inputs to the
Fuzzy Logic Controller are the parameters or variables of the process to be controlled.
Figure 4. Basic Fuzzy Logic Controller
Error and the rate of change of error are chosen as input variables, change of current and change of
voltage are chosen as output variables. Error, E(t) is defined as the difference between the desired output or
reference, R(t) and the process output variable, Y(t).
( ) ( ) ( ) (5)
( ) ( ) ( ) (6)
Fuzzy Controller
Reference, R(t)
Error,
E(t) Output
Process output, Y(t)
Process to be
controlled
Fuzzifier Inference
Engine
Defuzzifier
Rule Base If-
Then
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IJECE Vol. 7, No. 1, February 2017 : 125 – 133
130
The current error, E(t) and the change of error ΔE(t) are defined in equations (5) and (6),
respectively. The input variables are fuzzified through the membership functions. The controller reduces the
error signal in a faster manner and increases the system transient response by using triangular and trapezoidal
membership functions. Rule-based or knowledge-based element, which consists of a list of fuzzy rules, is the
important part of the Fuzzy Logic Controller. According to If-Then rules the inference process will generate
a fuzzy output set. With these rules, the fuzzy controller behaves intelligently and capable of imitating
humanlike-decision.
Linguistic terms used for the membership functions are such that, the terms will be NL(Negative
Large), NM(Negative Medium), NS(Negative Small), ZE(Zero), PS(Positive Small), PM(Positive Medium)
and PL(Positive Large). Membership Grade NL NM NS ZE. Rules are formed with 49 rule base [27] and
expressed in linguistic variables relating input signals to the control signal and shown in Table 1.
Table 1. Knowledge base Table with 49 Rules
E
NL NM NS ZE PS PM PL
NL ZE PS PM PL PL PL PL
NM NS ZE PS PM PM PL PL
NS NM NS ZE PS PS PM PL
ZE NM NM NS ZE PS PM PM
PS NL NM NS NS ZE PS PM
PM NL NL NM NM NS ZE PS
PL NL NL NL NL NM NS ZE
7. CASCADED FUZZY LOGIC CONTROLLER
Power conversion system is common is common engineering practice in our electrical power
system. Example: Rectifiers, Inverters, FACTS Devices etc. Suitable controller is required for efficient
operation of these Power conversion devices in their applications. Out of the wide variety of controllers as
mentioned in the literature by so many authors, cascaded PI Controller is one among them which is suitable
for all power conversion devices. Designing parameters for cascaded PI Controller is cumbersome due its
non-linear properties, especially when application is in the area of electric power system. Here a new
topology as shown in Figure 5 is proposed for optimum design procedure of the cascaded fuzzy controller
used in power conversion system.
Figure 5. Cascaded Fuzzy-Logic Controller
In Figure 5 the quantities P, Q, Vgrid, Iabc represents the measured or actual values. The
transformation angle „θ‟, which is the output of phase locked loop (PLL), Idq, Vdq, Vabc represents calculated
values. The Pref, Qref represents reference values or set points. The cascaded fuzzy-logic controller consists of
two loops, namely inner loop and outer loop, each loop contains two fuzzy controllers which progress the
error signals. The final outputs from the cascaded controller are the three-phase voltage references which
Firing Pulses
Outer Loop Inner Loop
Carrier Signal
Generator-side
Controller
Va,b,c
d,q
a,b,c
Fuzzy-3
Fuzzy-4
Vd,qId,q
Ia,b,c
a,b,c
d,q
Pref / Vdc_ref
Qref / Vt_ref
P/Vdc Fuzzy-1
Q/Vt Fuzzy-2
VgridPLL
Grid-side
Controller
7. IJECE ISSN: 2088-8708
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131
generate the pulse width modulation (PWM) signal to drive the power electronic switches of the power
converter. The output of the fuzzy controller is a controlled vector applied to the power electronic switches.
Tuning of four fuzzy controllers is a cumbersome process and time consuming. Therefore, this study attempts
to find a way to optimally design the cascaded controller parameters used in the power conversion system.
8. PROPOSED SYSTEM
The cascaded fuzzy-logic controller consists of two loops, namely inner loop and outer loop, each
loop contains two fuzzy controllers which progress the error signals. The final outputs from the cascaded
controller are the three-phase voltage references which generate the pulse width modulation (PWM) signals
to drive the power electronic switches of the power converter. The output of the fuzzy logic controller is a
controlled vector which is fine tuned by Genetic Algorithm and is applied to the power electronic switches
for better controllability.
Figure 6. Grid Connected PV system with Proposed Controller and FACTS device
Figure 6 shows a photovoltaic system connected to the utility grid through a single stage conversion
by using inverter i.e., DC/AC Conversion. A FACTS Device, namely Unified Power Flow Controller
(UPFC), is connected in between inverter and utility grid to regulate and control the power flow from Photo
Voltaic (PV) system to the utility grid. The Unified Power Flow Controller (UPFC) consists of two voltage-
source converters with turn-off capability, sharing a common dc link capacitor and connected to a power
transmission system through coupling transformers.
The reactive power is generated/absorbed independently by each converter and does not flow
through the dc link. The dc link provides a path to exchange active power between the converters. The
injected voltage and line current determine the active and reactive power injected by the series converter. The
series converter and shunt converter exchange reactive power with the ac system independently. The UPFC
can provide simultaneous control of all basic power system parameters such as transmission voltage,
impedance and phase angle. The controller can perform functions such as reactive shunt compensation, series
compensation, and phase shifting, meeting multiple control objectives. The Proposed Cascaded Fuzzy-GA
based Controller is connected to the UPFC for better controllability and to minimize the effect due to
problems occurring on the grid side and generation side.
9. CONCLUSION
The proposed structure introduced in this paper improves functionality in grid connected
photovoltaic generation systems. Various types of controllers have been proposed in the literature in order to
extract maximum power from the photovoltaic Array and to increase the power transfer efficiency of the
photovoltaic system. Out of these, cascaded control structure has proven to give better performance as
compared to conventional control structures. But designing parameters for cascaded control structure is
cumbersome due its non-linear properties, especially when application is in the area of electric power system.
Hence a new topology is proposed for optimum design procedure of the cascaded fuzzy controller used in
power conversion system. The output of the proposed controller is a controlled Vector, which is fine tuned by
genetic algorithm technique. The proposed cascaded control scheme is applicable in the areas of renewable
energy, energy storage systems, variable-speed drives, and FACTS devices used in the power systems, and
many more.
PV
Generation
Power
Grid
DC-AC
Converter
Cascaded Fuzzy-GA
based Controller
FACTS Device
(UPFC)
8. ISSN: 2088-8708
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132
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BIOGRAPHIES OF AUTHORS
Mr.T.Raghu was born in Andhra Pradesh, India in the year 1979. He was Awarded B.Tech
degree in Electrical and Electronics Engineering in the year 2002 from JNTU, Hyderabad. He
completed M.Tech degree in Power Electronics in the year 2011 from JNTUH, Hyderabad. At
Present he is Pursuing Ph. D degree at K L University, Andhra Pradesh, India. Also, he is
working as Associate Professor in the Department of Electrical and Electronics Engineering at
Anurag Engineering College, Kodad, India. His Research interest includes Renewable Energy
Sources, Grid Connected PV System, FACTS Devices and Power Electronic Applications in
Power System.
Dr.K.Harinadha Reddy was born in India on July 02, 1974. He received B.E. degree in
Electrical and Electronics Engineering from K.U. in 1997, India. He completed M.Tech degree
in Electrical Power Systems Emphasis High Voltage Engineering from J. N. T. University-
Kakinada Campus in 2006, India. He obtained Ph. D degree in Electrical Power Systems from
Andhra University Campus in the year 2012. At present he is working as Professor in Electrical
and Electronics Engineering department at K L University, India. 9 papers are published in
various national and international journals. His research interests include AI techniques and their
applications to Power System Operation, FACT devices and Integrated Energy Systems.