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Isolated microgrid stability reinforcement using optimally controlled STATCOM
Faculty
Engineering
Year:
2022
Type of Publication:
ZU Hosted
Pages:
101883
Authors:
Hytham Saad Mohamed Ramadan
Staff Zu Site
Abstract In Staff Site
Journal:
Sustainable Energy Technologies and Assessments ELSEVIER
Volume:
50
Keywords :
Isolated microgrid stability reinforcement using optimally
Abstract:
This paper presents optimal control of static synchronous compensator (STATCOM) intended for the application in isolated microgrids using genetic optimizers. The main objectives are to enhance the microgrid stability and reduce the oscillations in voltage, power, and frequency at different operating conditions. The proposed microgrid is a hybrid power system consisting of a diesel generator and a wind turbine each rated at 500 kW. The microgrid is supplying standalone static/dynamic loads rated at 500 kW. The wind turbine unit is controlled to operate at maximum power point tracking (MPPT). The diesel unit is used for ensuring the generation-demand equilibrium is maintained particularly under low wind speeds. The paper mainly discusses the voltage and frequency regulation of the isolated microgrid at different conditions such as: sudden changes in wind speed and/or load variations. Moreover, the proposed microgrid operation is examined under abnormal three-phase short circuit condition at the point of common coupling (PCC). To guarantee the microgrid voltage and frequency regulation at these diverse operating conditions, an optimally controlled STATCOM is considered as a reactive power source. The multi-objective genetic algorithm (GA) is used to obtain the optimal scheduling of the STATCOM controller’s gains without any delay in the control signal. From the simulation results, using Matlab™, the performance of the microgrid is improved and the oscillations in voltage, frequency, and power are reduced. The microgrid stability is enhanced using STATCOM device.
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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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