:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.11(16) (2020) |
Optimal Sizing of Isolated Hybrid PV/WT/FC System Using Manta Ray Foraging Optimization Algorithm
Hamdy M. Sultan, Ahmed S. Menesy (Department of Electrical Engineering, Minia University, Minia, EGYPT),
Salah Kamel (Department of Electrical Engineering, Aswan University, Aswan 81542, EGYPT),
Ali S. Alghamdi (Department of Electrical Engineering, College of Engineering, Majmaah University, Almajmaah 11952, SAUDI ARABIA),
Mohamed Zohdy (Electrical and Computer Engineering Department, School of Engineering and Computer Science, Oakland University, Rochester, Rochester, MI 48309, USA).
Disciplinary: Electrical Engineering (Electric Power Management), Sustainable Energy (Solar Energy, Wind Energy).
DOI: 10.14456/ITJEMAST.2020.317
Keywords: Hybrid energy generating system; Photovoltaic; Wind turbine; MRFO; Statistical analysis; Optimal energy system; COE; LPSP.
AbstractThis work seeks to optimize the size components of a proposed stand-alone photovoltaic (PV)/ wind turbine (WT)/ fuel cell (FC) hybrid renewable generating system. A new efficient optimization algorithm called Manta-Ray Foraging Optimization (MRFO) is adapted to design the size components of the hybrid system under multi-objective functions, minimizing the cost of energy (COE) and minimizing the loss of power supply probability (LPSP). The real case study is applied in Ataka city, located on the Suez Gulf (latitude 30.0, longitude 32.5) of Egypt. To ensure the high performance and stability of the developed algorithm, this study testes three different system configurations (PV + WT + FC, WT + FC, and PV + FC). Furthermore, statistical measures for the different configurations have been presented to affirm the robustness and reliability of the developed MRFO technique. The simulation results proved the high capability of the MRFO in solving the studied optimization problem with fast convergence and reliable results, to supply loads with the minimum COE.Paper ID: 11A16H
Cite this article:
Sultan, H. M., Menesy, A. S., Kamel, S., Alghamdi, A. S., Zohdy, M. (2020). Optimal Sizing of Isolated Hybrid PV/WT/FC System Using Manta Ray Foraging Optimization Algorithm. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(16), 11A16H, 1-12. http://doi.org/10.14456/ITJEMAST.2020.317
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