基于抗冠状病毒优化算法的微电网优化调度

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中图分类号：TM71 文献标志码：A 文章编号：2097-3853（2025）03-0283-09

Abstract： In order to improve the economy of the wind-solar-storage microgrid system，a new grid-connected optimal scheduling model is established to minimize the operating cost of the system and meet the multiple constraints of the safe and economic operation of the microgrid.Theanti-coronavirus optimization algorithm （ACVO）is used to solve the model，yielding the optimal output for photovoltaic units，wind turbines， bateries，and the main grid.Comparative results with the particle swarm optimization （PSO）and grey wolf optimization （GWO） algorithms show that the ACVO algorithm reduces the daily operating costs by 1.45% and 4.50% ，respectively. Case study analysis verifies the feasibility of the proposed model and demonstrates that the ACVO algorithm exhibits superior global search capability and faster convergence speed in the optimization scheduling of wind-solar-storage systems，providing a more feasible and efcient solution for achieving clean and sustainable energy supply.

Keywords： wind-solar-storage microgrid; optimization scheduling model； ACVO;case study analysis

风能和太阳能因其资源丰富及清洁可再生等特点近年来得到了广泛的利用。（剩余9700字）