The increasing number of DC loads, such as electric vehicles (EVs), has resulted in micro-grid undergoing difficulty in satisfying the various demands of such loads. The study develops a multi-objective capacity optimization allocation model for hybrid micro-grid on the bases of users’ satisfaction and the orderly charging/discharging of EVs. The proposed model aims to reduce the cost of the capacity allocation of AC/DC hybrid micro-grid and improve users’ satisfaction. Particle swarm optimization algorithm is used to address the capacity optimization of hybrid micro-grid in EVs across scenarios. This study verified the rationality and effectiveness of the proposed capacity optimization model by comparing and analyzing the influence of capacity optimization on the orderly/disorderly charging/discharging of EVs and users’ satisfaction.

诸如电动车辆（EV）之类的DC负载的数量增加，已经导致微电网难以满足这种负载的各种需求。该研究基于用户满意度和电动汽车的有序充电/放电，为混合微电网开发了多目标容量优化分配模型。该模型旨在降低交直流混合微电网容量分配的成本，提高用户满意度。粒子群优化算法用于解决跨场景电动汽车中混合微电网的容量优化问题。通过比较和分析容量优化对电动汽车有序/无序充电/放电和用户满意度的影响，本研究验证了所提出的容量优化模型的合理性和有效性。