Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco
| Autor: | Omar Hazem Mohammed, Salah Kamel, Mohammed Akherraz, Mohammed Kharrich, Mohamed Abdeen, Sang-Bong Rhee, Tahir Khurshaid |
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| Rok vydání: | 2021 |
| Předmět: |
Optimal design
General Computer Science 020209 energy 02 engineering and technology Automotive engineering optimal system design 0202 electrical engineering electronic engineering information engineering General Materials Science Cost of electricity by source net present cost Metaheuristic hybrid renewable energy system Wind power business.industry Photovoltaic system General Engineering Renewable energy microgrid Environmental science optimization algorithms 020201 artificial intelligence & image processing Economic energy lcsh:Electrical engineering. Electronics. Nuclear engineering Diesel generator Microgrid business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 9, Pp 13655-13670 (2021) |
| ISSN: | 2169-3536 |
| Popis: | In this paper, a new application of Equilibrium Optimizer (EO) is proposed for design hybrid microgrid to feed the electricity to Dakhla, Morocco, as an isolated area. EO is selected to design the microgrid system due to its high effectiveness in determining the optimal solution in very short time. EO is presented for selecting the optimal system design which can minimize the cost, improve the system stability, and cover the load at different climate conditions. Microgrid system consists of photovoltaic (PV), wind turbine (WT), battery, and diesel generator. The objective function treated in this paper is to minimize the net present cost (NPC), respecting several constraints such as the reliability, availability, and renewable fraction. The sensitivity analysis is conducted in two stages: Firstly, the impact of wind speed, solar radiation, interest rate, and diesel fuel on the NPC, and levelized cost of energy (LCOE) is analyzed. Secondly, the influence of size variation on loss of power supply probability (LPSP) is investigated. The results obtained by EO are compared with those obtained by recent metaheuristics optimization algorithms, namely, Harris Hawks Optimizer (HHO), Artificial Electric Field Algorithm (AEFA), Grey Wolf Optimizer (GWO), and Sooty Tern Optimization Algorithm (STOA). The results show that the optimal system design is achieved by the proposed EO, where renewable energy sources (PV and WT) represent 97% of the annual contribution and fast convergence characteristics are obtained by EO. The best NPC, LCOE, and LPSP are obtained via EO achieving 74327 $, 0.0917 $/kWh, and 0.0489, respectively. |
| Databáze: | OpenAIRE |
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