Combined Operations of Renewable Energy Systems and Responsive Demand in a Smart Grid.
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This 3-sentence summary provides the high-level information about the seminar on EE 4130: The seminar covered the topic of smart grids and proposed an energy management system to optimize smart grid operations by integrating demand side management, active management schemes, and distributed energy resources to allow participation in electricity markets and reduce peak electricity demand, as demonstrated in an analysis of a 23-bus network that found satisfactory results in optimizing demand.
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Power Processing
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An Intelligent Power Management Investigation for Stand-alone Hybrid System U...International Journal of Power Electronics and Drive Systems
Stand-alone Hybrid systems become appreciating issues that ensure the required electricity to consumers. The development of a stand-alone Hybrid system becomes a necessity for multiple applications The enhance energy security. To achieve this objective, we have proposed an accurate dynamic model using Multi-Agent System (MAS) in which a solar energy System (SES) serves as the main load supply, an energy Backup System (ERS) is based on a fuel cell and Electrolyzer for long-term energy storage and an Ultra Capacitor (UCap) storage system deployed as a short-time storage. To cooperate with all systems, an Intelligent Power Management (IPM) based on a specific MAS is included. Thus, to prove the performance of the system, we tested and simulated it using the Matlab/Simulink environment.Residential Community Load Management based on Optimal Design of Standalone H...
This document presents a study on designing a standalone hybrid renewable energy system (HRES) for a residential community in Pakistan using PV, wind, diesel, and battery. Nine system configurations were analyzed using HOMER software to determine the optimal and most economical design. HOMER results showed a PV-wind-battery system with 13.4 kW PV, 4 kW wind, and 20 battery units was optimal, with a net present cost of $28,620 and cost of energy of $0.311/kWh. MATLAB/Simulink modeling validated this design could maintain voltages and safe battery SOC while meeting load, even with generation and demand fluctuations. The HRES design and control strategy presented provides a tool for planning
Economic evaluation of hybrid wind-pv-diesel of grid power system
This document analyzes the optimal configuration of a hybrid power system for a village in Saudi Arabia consisting of wind, photovoltaic, and diesel generators. The existing system uses six 1,120 kW diesel generators. The document evaluates different hybrid system combinations using HOMER software. It finds that a system with 1,500 kW of solar PV panels, 15 100-kW wind turbines, and four 1,120 kW diesel generators results in the lowest cost of energy of $0.067/kWh while meeting the village's energy demand and reducing emissions by 65.9% compared to diesel only.
integration of pumped hydro storage into renewable energy sources for support...
integration of pumped hydro storage into renewable energy sources for supporting higher load demand from the grid
Dynamic modeling of microgrid for grid connected intentional islanding operat...
Microgrid is defined as the cluster of multiple distributed generators (DGs) such as renewable energy sources that supply electrical energy. The connection of microgrid is in parallel with the main grid. When microgrid is isolated from remainder of the utility system, it is said to be in intentional islanding mode. In this mode, DG inverter system operates in voltage control mode to provide constant voltage to the local load. During grid connected mode, the Microgrid operates in constant current control mode to supply preset power to the main grid. The main contribution of this paper is summarized as
1) Design of a network based control scheme for inverter based sources, which provides proper current control during grid connected mode and voltage control during islanding mode.
2) Development of an algorithm for intentional islanding detection and synchronization controller required during grid reconnection.
3) Dynamic modeling and simulation are conducted to show system behavior under proposed method using SIMULINK.
From the simulation results using Simulink dynamic models, it can be shown that these controllers provide the microgrid with a deterministic and reliable connection to the grid.
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EFEU / FLEXe Segerstam Jan the future flexible energy system - enabling the p...
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Power adaptive computing system design for solar-energy-powered embedded systems
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Improvement of voltage profile for large scale power system using soft comput...
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Fuzzy Logic Based Controller Effective Energy Management OfComposite Energy S...
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An Intelligent Power Management Investigation for Stand-alone Hybrid System U...
An Intelligent Power Management Investigation for Stand-alone Hybrid System U...
Residential Community Load Management based on Optimal Design of Standalone H...
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Economic evaluation of hybrid wind-pv-diesel of grid power system
Economic evaluation of hybrid wind-pv-diesel of grid power system
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integration of pumped hydro storage into renewable energy sources for support...
Dynamic modeling of microgrid for grid connected intentional islanding operat...
Dynamic modeling of microgrid for grid connected intentional islanding operat...
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Two-way Load Flow Analysis using Newton-Raphson and Neural Network Methods
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Solution for optimal power flow problem in wind energy system using hybrid mu...
Solution for optimal power flow problem in wind energy system using hybrid mu...International Journal of Power Electronics and Drive Systems
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A Comparison of Energy Management System
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Sampling-Based Model Predictive Control of PV-Integrated Energy Storage Syste...
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This paper proposes a novel control solution designed to solve the local and grid-connected
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of PV and load power, to allocate the dispatch of the available distributed energy resources (DERs) while
minimizing the overall cost. The strategy developed aims to nd the ideal combination of solar, grid, and
energy storage (ES) power with the objective of minimizing the total cost of energy of the entire system.
Both of ine and controller hardware-in-the-loop (CHIL) results are presented for a 7-day test case scenario
and compared with two manual base test cases and four baseline optimization algorithms (Genetic Algo-
rithm (GA), Particle Swarm Optimization (PSO), Quadratic Programming interior-point method (QP-IP),
and Sequential Quadratic Programming (SQP)) designed to solve the optimization problem considering the
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compared to the other baseline control algorithms.Active and reactive power sharing in micro grid using droop control
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Poland 2
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Energy Management System in Microgrid with ANFIS Control Scheme using Heurist...
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Renewable energy based dynamic tariff system for domestic load management
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Fuzzy logic power management for a PV/wind microgrid with backup and storage ...
This work introduces a power management scheme based on the fuzzy logic controller (FLC) to manage the power flows in a small and local distributed generation system. The stand-alone microgrid (MG) includes wind and PV generators as main power sources. The backup system includes a battery storage system (BSS) and a diesel generator (DG) combined with a supercapacitor (SC). The different energy sources are interconnected through the DC bus. The MG is modeled using MATLAB/Simulink Sim_Power System™. The SC is used to compensate for the shortage of power during the start-up of the DG and to compensate for the limits on the charging/discharging current of the BSS. The power balance of the system is the chief objective of the proposed management scheme. Some performance indexes are evaluated: the frequency-deviation, the stability of the DC bus voltage, and the AC voltage total harmonic distortion. The performance of the planned scheme is assessed by two 24-hours simulation sets. Simulation results confirm the effectiveness of FLC-based management. Moreover, the effectiveness of the FLC approach is compared with the deterministic approach. FLC approach has saved 18.7% from the daily load over the deterministic approach. The study shows that the quality of the power signal in the case of FLC is better than the deterministic approach.
New solutions for optimization of the electrical distribution system availabi...
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This paper deals with the availability in microgrids that are composed of a set of sources (Photovoltaic generators, wind turbines, diesel generators and batteries) and a set of loads (critical and uncritical loads). The energy produced by various sources will be grouped in an alternative bus (AC bus), and it will be distributed on loads through an electrical distribution system. The occurrence of a fault in the system can cause a total or partial unavailability of energy required by the loads. The objective of this paper is to characterize the fault caused by the limited reliability of the components of the electrical distribution system and to propose an new design methodology to optimize the availability of this system (as well as the availability of power supply) by taking into account all the economic constraints. The proposed methodology is based on the redundancy of electrical distribution paths. An application of this optimization to a petroleum platform shows clearly a high degree of supply availability distribution in microgrid.A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
The proposed system presents power-control strategies of a Micro grid-connected hybrid generation
system with versatile power transfer. This hybrid system allows maximum utilization of freely available
renewable energy sources like wind and photovoltaic energies. For this, an adaptive MPPT algorithm along with
standard perturbs and observes method will be used for the system.
The inverter converts the DC output from non-conventional energy into useful AC power for the
connected load. This hybrid system operates under normal conditions which include normal room temperature
in the case of solar energy and normal wind speed at plain area in the case of wind energy. However, designing
an optimal micro grid is not an easy task, due to the fact that primary energy carriers are changeable and
uncontrollable, as is the demand. Traditional design and optimization tools, developed for controlled power
sources, cannot be employed here. Simulation methods seem to be the best solution.
The dynamic model of the proposed system is first elaborated in the stationary reference frame and
then transformed into the synchronous orthogonal reference frame. The transformed variables are used in
control of the voltage source converter as the heart of the interfacing system between DG resources and utility
grid. By setting an appropriate compensation current references from the sensed load currents in control circuit
loop of DG, the active, reactive, and harmonic load current components will be compensated with fast dynamic
response, thereby achieving sinusoidal grid currents in phase with load voltages, while required power of the
load is more than the maximum injected power of the DG to the grid. In addition, the proposed control method
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active and reactive power components of the grid-connected loads.
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Two-way Load Flow Analysis using Newton-Raphson and Neural Network Methods
Two-way Load Flow Analysis using Newton-Raphson and Neural Network Methods
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Solution for optimal power flow problem in wind energy system using hybrid mu...
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Energy Management System in Smart Microgrid Using Multi Objective Grey Wolf O...
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Sampling-Based Model Predictive Control of PV-Integrated Energy Storage Syste...
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Renewable energy based dynamic tariff system for domestic load management
Renewable energy based dynamic tariff system for domestic load management
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Fuzzy logic power management for a PV/wind microgrid with backup and storage ...
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Energy management system for pv and battery system
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বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
South African Journal of Science: Writing with integrity workshop (2024)
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A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.Introduction to AI for Nonprofits with Tapp Network
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
PCOS corelations and management through Ayurveda.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Your Skill Boost Masterclass: Strategies for Effective Upskilling
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Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
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This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.Recently uploaded (20)
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
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বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
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South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Combined Operations of Renewable Energy Systems and Responsive Demand in a Smart Grid.
- 1. Seminar on EE 4130 Source: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 2, NO. 4, OCTOBER 2011 1
- 2. Outline of the talk 1 3 2 3 4 5 3 2 Introduction: Smart Grid On-going operations in Smart Grid Proposed EMS for Combined operations. Analysis & Outcome Conclusion
- 3. Introduction: Smart Grid Smart Grid SG refers to a fully automated electric power system controlling and optimizing the operation of all its interconnected elements, in order to guarantee safe and efficient operations of energy generation, transmission, and distribution. Demand side management (DSM), is the modification of consumer demand for energy through various methods such as financial incentives and education. Price responsive demand is the ability of consumers to control their energy expenditures by changing their electricity use in response to wholesale electricity prices. 3
- 4. On-going operations in Smart Grid Now a days the integration of large amounts of renewable energy systems (RESs) with the grid is widely studied by many researchers, But only few of them address these problems in connection with a consumers’ potential participation to the electricity market. This paper proposes an energy management system (EMS) aiming at optimizing the SG’s operation. The EMS behaves as a sort collector of distributed energy resources allowing the SG to participate in the open market by integrating demand side management (DSM) and active management schemes (AMS). 4
- 5. Proposed EMS for Combined operations. Supervisory control & Data acquisition. 5 Remote data collection from AMI. Actions for optimization.
- 6. The EMS Policy : Analysis & Outcome The efficiency of the proposed EMS is verified on a 23-bus 11-kV network. A satisfactory result is found for optimum electricity demand . The peak demand of electricity have been reduced in two Scenarios. 6
- 7.
- 8. Both the specific study results in Reduction in Electricity Demand. 7
- 9. Conclusion In this paper, an EMS for the optimization of SGs has been proposed. Simulation result shows that the combined operations of RES and Price Responsive Demand electricity consumption problem. The study improves the SG’s resilience and flexibility through resource use optimization and peak loads reduction. 8
- 10. Thanks to all 9