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 guarantee 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. Secondly

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 variables 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 improved 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.