偏远山区配电网的"光储充"双层优化配置策略OA

Aimed at the problems of scattered loads,underdeveloped economy,poor voltage quality,and high active power loss in remote mountainous areas,in order to meet the needs of new rural construction and new energy vehicles going to the countryside,photovoltaic(PV),battery energy storage system(BESS)and electric vehicle supply equipment(EVSE)are configured to effectively improve the power supply quality of distribution network and provide power guar-antee for improving people's livelihood.Firstly,the PV output and load uncertainty in remote mountainous areas are processed by probability model.Based on Monte Carlo simulation of electric vehicle(EV)charging load in remote mountainous areas,multi-scenario analysis method,time division method and K-means++clustering method are used to construct the source-load sequential operation scenario considering EV charging load in remote mountainous areas.Sec-ondly,the"photovolatic-storage-charging"bi-level optimal configuration model of distribution network in remote mountainous areas is established.The upper planning layer determines the location and capacity of PV,BESS and EVSE with the minimum comprehensive cost as the goal.The lower operation layer meets the comprehensive index of small voltage deviation and low active power loss,and realizes the optimal simulation operation of PV,BESS and EVSE.Thirdly,the two-layer model is transformed into a single-layer multi-objective model with upper and lower decision vari-ables through model transformation.The multi-objective coati optimization algorithm(MOCOA)is proposed and improved to obtain the improved multi-objective coati optimization algorithm(IMOCOA).The optimal configuration scheme is obtained by using IMOCOA and fuzzy mathematics method to solve the transformed model.Finally,the im-proved IEEE 33 node distribution network based on the actual data of a remote mountainous area and the actual distribution network in a remote mountainous area in the south of Shaanxi are verified,respectively.The results show that the proposed configuration strategy is suitable for the optimization of"photovolatic-storage-charging"in the remote mountainous area distribution network,which can significantly improve the voltage quality and reduce the active power loss under the economic constraints.The proposed solution method is more than 70%faster than the calculation speed before model conversion,and has higher accuracy than NSGA2 and MOPSO.