Optimization of Standalone Hybrid Renewable Energy Systems Using Different Metaheuristic Techniques Considering Demand Side Management | ||||
| Journal of Advanced Engineering Trends | ||||
| Volume 44, Issue 1, January 2025, Page 159-186 PDF (4.31 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jaet.2024.317653.1326 | ||||
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| Authors | ||||
Mohamed A. Hassanein; Mohamed A. Mohamed   ; Ahmed A. Hassan
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| Electrical Engineering Dep., Faculty of Engineering, Minia University, Minia, Egypt | ||||
| Abstract | ||||
| In this paper, an innovative and highly performed design and optimization program describing the techno-economic analysis of a standalone hybrid PV/wind turbine/diesel generator/battery bank storage energy system depending on real-time information and meteorological data of New Minia city located in Egypt. Considering economic variation for region. Optimum sizing of the proposed system has been determined by using multi-metaheuristic algorithms in addition to effective strategies such as demand side management (DSM), load following (LF), cycle charging (CC) to minimize the cost of supplied energy (COE) constrained by the loss of power supply probability (LPSP) and amount of dummy energy, while increasing the reliability and efficiency of the Presented system. An advanced optimization algorithm of salp swarm algorithm (SSA) in comparison with seven metaheuristic techniques have been applied for designing the optimum size of isolated microgrid, where program with simulation results showed the optimal performance of the SSA algorithm over the other techniques. | ||||
| Keywords | ||||
| Isolated Microgrids; Demand Side Management (DSM); Cost of Energy (COE); Dummy Energy Loss of Power Supply Probability (LPSP); Optimization | ||||
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