Processes, Год журнала: 2025, Номер 13(3), С. 740 - 740
Опубликована: Март 4, 2025
The variability of renewable energy sources, storage limitations, and fluctuations in residential demand affect the reliability sustainable systems, resulting deficits risk service interruptions. Given this situation, objective study is to diagnose optimize a microgrid based on photovoltaic wind power generation battery systems (BESSs). To end, genetic algorithms (GAs) ant colony optimization (ACO) are used evaluate performance system using metrics such as loss load probability (LOLP), supply (LPSP), availability. test consists 3.25 kW (PV) system, 1 turbine, 3 kWh battery. evaluation performed Python-based simulations with real consumption, solar irradiation, speed data assess under different strategies. initial diagnosis shows limitations an availability 77% high values LOLP (22.7%) LPSP (26.6%). Optimization metaheuristic significantly improves these indicators, reducing 11% 16.4%, increasing 89%. Furthermore, achieves better balance between especially periods low demand, ACO manages distribute more efficiently. In conclusion, use metaheuristics effective strategy for improving efficiency autonomous microgrids, optimizing operating costs.
Язык: Английский
