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Optimal Sizing of Isolated Hybrid PV/WT/FC System Using Manta Ray Foraging Optimization Algorithm |
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| รหัสดีโอไอ | |
| Creator | Hamdy M. Sultan, Ahmed S. Menesy, Salah Kamel, Ali S. Alghamdi, Mohamed Zohdy |
| Title | Optimal Sizing of Isolated Hybrid PV/WT/FC System Using Manta Ray Foraging Optimization Algorithm |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2563 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 11 |
| Journal No. | 16 |
| Page no. | 11A16H: 1- |
| Keyword | Hybrid energy generating system, Photovoltaic, Wind turbine, MRFO, Statistical analysis, Optimal energy system, COE, LPSP. |
| URL Website | http://TuEngr.com/Vol11_13.html |
| Website title | ITJEMAST V11(16) 2020 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | This 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. |
