考虑电动汽车支撑能力的新型配电系统多目标优化运行研究OA

To address the challenges posed by the widespread integration of distributed generation(DG)and elec-tric vehicles(EVs)to the safe and stable operation of distribution networks,this paper proposes an optimal opera-tion strategy for distribution networks that considers the support capability of DG and EVs.First,a multi-level con-trol architecture based on a multi-agent system(MAS)is developed to enable information interaction and collabora-tive optimization among various agents.Second,by incorporating users'travel demands,a credible capacity quanti-fication model for charging and discharging stations is developed to assess their active support capability.Subse-quently,a multi-objective optimal operation model is formulated,aiming to minimize operational cost,voltage de-viation,and maximum line loading.This model is solved using a hybrid algorithm combining a genetic algorithm(GA)and an improved particle swarm optimization(IPSO).Finally,operation simulations are conducted on a dis-tribution system including renewable energy stations and various EV charging/discharging stations.The results indi-cate that the proposed method effectively reduces line loading,improves voltage profiles,and enhances the opera-tional safety and economic performance of the distribution network.