Optimal Energy Management of a Microgrid Using Walrus Optimizer Algorithm
DOI:
https://doi.org/10.22399/ijcesen.4785Abstract
The economic operation of electrical systems is very crucial. Efficient energy management can lower operating costs, improve grid stability, and optimize resource allocation. This paper proposes a novel technique based on the walrus optimizer (WaO) algorithm for solving the optimal energy management (OEM) of a microgrid (MG) based on the IEEE 33-bus system topology. The investigated system incorporates several distributed energy resources (DERs), such as photovoltaic (PV) and wind turbine (WT) units, micro-turbine (MT), diesel generator (DG), and battery energy storage system (BESS). To assess the robustness of the proposed strategy, three separate pricing situations are simulated: stable, moderate volatility, and high volatility. The results show the algorithm's capacity to perform optimal energy arbitrage and peak shaving, ensuring power balance and lowering grid reliance during high-price periods.
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