As high amounts of new energy and electric vehicle (EV) charging stations are connected to the distribution network

the voltage deviations are likely to occur

which will further affect the power quality. It is challenging to manage high quality voltage control of a distribution network only relying on the traditional reactive power control mode. If the reactive power regulation potentials of new energy and EVs can be tapped

it will greatly reduce the reactive power optimization pressure on the network. Keeping this in mind

our reasearch first adds EVs to the traditional distribution network model with new forms of energy

and then a multi-objective optimization model

with achieving the lowest line loss

voltage deviation

and the highest static voltage stability margin as its objectives

is constructed. Meanwihile

the corresponding model parameters are set under different climate and equipment conditions. Ultimately

the optimization model under specific scenarios is obtained. Furthermore

considering the supply and demand relationship of the network

an improved technique for order preference by similarity to an ideal solution decision method is proposed

which aims to judge the adaptability of different algorithms to the optimized model

so as to select a most suitable algorithm for the problem. Finally

a comparison is made between the constructed model and a model without new energy. The results reveal that the constructed model can provide a high quality reactive power regulation strategy.