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Near-Optimal PI Controllers of STATCOM for Efficient Hybrid Renewable Power System
Faculty
Engineering
Year:
2021
Type of Publication:
ZU Hosted
Pages:
Authors:
Hytham Saad Mohamed Ramadan
Staff Zu Site
Abstract In Staff Site
Journal:
IEEE Access IEEE-IEEE Access
Volume:
Keywords :
Near-Optimal , Controllers , STATCOM , Efficient Hybrid Renewable
Abstract:
Connecting different renewable energy sources (RESs) to the electrical grids is presently being urged to fulfill the enormous need for electric power and to decrease traditional sources' ecological related issues, the so-called hybrid systems. Unfortunately, these hybrid systems suffer from the possible negative environmental impacts of the wind gusts in wind energy conversion systems (WECSs) that may degrade the overall system performance. Additionally, various severe faults may disconnect some RESs from the hybrid system, like three-phase faults. In this paper, the static synchronous compensator (STATCOM) is considered for both improving the performance of a hybrid system, contains WECS and photovoltaics (PVs) against wind gusts and maintaining the continuous operations of RESs during three-phase fault occur at the point of common coupling (PCC) between the RESs and the grid. The STATCOM is stimulated by two PI controllers regulating the reactive power flow between the STATCOM and the hybrid system at PCC and, consequently, regulating the voltage at PCC. A metaheuristic optimizer optimally schedules these two PI controllers based on whale optimization algorithm (WOA). The impartial comparison between the WOA dynamic performance and the particle swarm optimization as another optimization algorithm verifies the efficiency of the WOA for the near-optimal gain scheduling of the PI controller gains.
Author Related Publications
Hytham Saad Mohamed Ramadan, "Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization", IEEE, 2022
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Hytham Saad Mohamed Ramadan, "Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control", ELSEVIER, 2021
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Hytham Saad Mohamed Ramadan, "Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives", ELSEVIER, 2021
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Hytham Saad Mohamed Ramadan, "Efficient metaheuristic utopia-based multi-objective solutions of optimal battery-mix storage for microgrids", ELSEVIER, 2021
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Hytham Saad Mohamed Ramadan, "Optimal reconfiguration for vulnerable radial smart grids under uncertain operating conditions", ELSEVIER, 2021
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Department Related Publications
Ahmed Mohamed Othman Abdelmaksoud, "Modification of UPFC Circuit to Enhance Dynamics Performance Using Soft Computing Selection", International Journal of Electrical Engineering (IIJEE), 2014
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Ahmed Mohamed Othman Abdelmaksoud, "A New Optimization Approach for Maximizing the Photovoltaic Panel Power Based on Genetic Algorithm and Lagrange Multiplier Algorithm", Inter. Journal of Photoenergy, 2013
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Ahmed Mohamed Othman Abdelmaksoud, "A New Evolutionary Algorithm for the Optimal Sizing of Stand-Alone Photovoltaic System Based on Genetic Algorithm", International Review of Electrical Engineering (IREE), 2013
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Mohamed Abdelfattah Hessien Anany Refaee, "Steady State Modeling and ANFIS Based Analysis of Self-Excited Induction Generator", Multi-Science Publishing Co. Ltd, 2014
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Ahmed Fathy Mohamed Ali Ali, "Comparison among various energy management strategies for reducing hydrogen consumption in a hybrid fuel cell/supercapacitor/battery system", Elsevier, 2019
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