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Prospective hydrogen-based microgrid systems for optimal leverage via metaheuristic approaches
Faculty
Engineering
Year:
2022
Type of Publication:
ZU Hosted
Pages:
117384
Authors:
Hytham Saad Mohamed Ramadan
Staff Zu Site
Abstract In Staff Site
Journal:
Applied Energy ELSEVIER
Volume:
300
Keywords :
Prospective hydrogen-based microgrid systems , optimal leverage
Abstract:
The paper proposes a hybrid microgrid (HMG) system with solar modules and wind turbines as primary energy sources and a diesel engine as backup. Meanwhile, the hydrogen energy storage system (HySS) is utilized as energy storage. Firstly, by reducing the levelized cost of energy (COE), this study presents the optimal size and configuration of various renewable and distributed energy resources in HMG systems. Secondly, two novel modified hybridized particle swarm optimization (PSO) and ant colony optimization (ACO) are developed, namely, ACO initialized PSO and ACO updated PSO. The optimal simulation results using PSO and ACO metaheuristic technique either individually or hybridized are compared in terms of primarily minimizing the levelized COE and achieving short execution time. Thirdly, to verify the geographical-independency of the integration of HySS for producing onsite green hydrogen locally, the estimation performance is examined for three different locations in Egypt, Mozambique and Denmark respectively using hourly meteorological and load data in 2019. Sensitivity and effectiveness analysis are carried out to highlight the major parameters that impact HySS incorporation. Finally, the system readiness level together with the different hydrogen, economy barriers constraints, limitations and risks are investigated based on the technology readiness level and the integration readiness level indices. The simulation results demonstrate the superiority of the ACO updated PSO optimization algorithm towards minimizing the levelized COE in the different regions. In the developing countries, the salvage market supports HySS integration. At system readiness levels range between 0.65 and 0.94, versatile HySS integration is verified.
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
Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini Environmental Economic Dispatching Based on Artificial Networks", لايوجد, 1900
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