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Enhancement of tidal generators by superconducting energy storage and Jaya‐based sliding‐mode controller
Faculty
Engineering
Year:
2020
Type of Publication:
ZU Hosted
Pages:
Authors:
Ahmed Mohamed Othman Abdelmaksoud
Staff Zu Site
Abstract In Staff Site
Journal:
International Journal of Energy Research Wiley
Volume:
Keywords :
Enhancement , tidal generators , superconducting energy storage
Abstract:
This article presents a novel control technique of Jaya‐based super‐sliding controller that is applied on superconducting magnetic energy storage system (SCMES). The SCMES will be integrated to operate with tidal turbine generators (TTGs). The penetration of TTGs has recently grown due to distributed generation contributions to the energy sector. To alleviate the potential system instability due to TTG dynamic performance, SCMES is connected to TTG to support the dynamic operational conditions. SCMES is implemented to act quickly during both cases of power generation and absorption, so it can realize any required mismatch between the supply and load power at dynamic transient periods. To enhance such capability, this article proposes the application of Jaya‐based super‐sliding control technique to control and tune the system dynamic gains. The proposed technique implements incorporated co‐operative algorithms using enhanced Jaya competitive algorithm and super‐sliding method to facilitate the exchange of energy between the SCMES, the TTG, and the power network. It allows smooth dynamic performance, power quality enhancement, and robust dynamic reference tracking. Jaya‐based super‐sliding controller is developed and proposed for accurate and reliable control and tunning of system parameters. The proposed controller ensures the superb performance of the synergy of SCMESs and TTGs. Digital simulations have validated the effectiveness of the proposed system with the optimal dynamic parameters and minimization of the global control error.
Author Related Publications
Ahmed Mohamed Othman Abdelmaksoud, "Performance optimisation for novel green plug-energy economizer in micro-grids based on recent heuristic algorithm", IET Institution of Engineering and Technology IET Digital Library, 2016
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Ahmed Mohamed Othman Abdelmaksoud, "Optimal capacitor placement by Enhanced Bacterial Foraging Optimization (EBFO) with accurate thermal re-rating of critical cables", Elsevier, 2016
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Ahmed Mohamed Othman Abdelmaksoud, "Enhanced Backtracking Search Algorithm for Optimal Coordination of Directional Over-current Relays Including Distributed Generation", Taylor & Francis Group, 2016
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Ahmed Mohamed Othman Abdelmaksoud, "Optimal reconfiguration comprising voltage stability aspect using enhanced binary particle swarm optimization algorithm", Taylor & Francis, 2015
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Ahmed Mohamed Othman Abdelmaksoud, "Control Design for AC/DC Microgrid for Residential Home Cluster", Intelligent Control & Automation, 2015
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Department Related Publications
Amal Farouk Abdelgawad Badaawi, "Fault Location in Power Distribution Transmission Lines Utilizing either Curve Fitting or Neural Networks", Cigre'2005, Egypt, 2005
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Hytham Saad Mohamed Ramadan, "Recent moth-flame optimizer for enhanced solid oxide fuel cell output power via optimal parameters extraction process", Elsevier, 2020
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Hytham Saad Mohamed Ramadan, "Impacts of reactant flow nonuniformity on fuel cell performance and scaling-up: Comprehensive review, critical analysis and potential recommendations", Elsevier, 2021
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Hytham Saad Mohamed Ramadan, "The key issues of electric vehicle charging via hybrid power sources: Techno-economic viability, analysis, and recommendations", Elsevier, 2021
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Mahmoud Mohamed Shawky Ahmed Elkholy , "Three-diode model for characterization of industrial solar generating units using Manta-rays foraging optimizer: Analysis and validations", PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2020
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