Optimal planning of energy microgrid with multi-objective functions in independent mode

Energy storage systems are crucial in managing the uncertainties associated with power generation from renewable sources like wind turbines (WTs) and photovoltaic (PV) systems. This article presents the most effective sizing of energy resources within a microgrid, which includes hydrogen storage, PV, battery systems, and WT in the independent mode of the main grid. The study aims to minimize installation costs, maximize the penetration of WT and PV systems in meeting demand, and reduce load shedding. To tackle the intricacies of the planning process, the research utilizes the modified sunflower optimization (MSFO) algorithm. Through comparative experiments, the study confirms the efficacy of this method, showcasing its capacity to deliver enhanced outcomes. The findings indicate that the proposed method efficiently optimizes resource allocation at an optimal pace.