Distributed energy storage is an effective way to solve the problem of new energy grid connection. The site selection and capacity determination of distributed energy storage will affect the efficiency

network loss and investment cost of the energy storage system

so it is necessary to plan the site selection and capacity determination of distributed energy storage. This paper proposes a site selection and capacity determination planning of distributed energy storage

in which the voltage stability margin is taken as the index to select some nodes with weak system voltage stability for pre-selection

then scheduling strategy of the energy storage system is set according to the daily characteristic curve of load with consideration of the charging and discharging states of the energy storage equipment. The time series characteristics of load

wind power and photovoltaic power are considered

the active power transmission loss is taken as the objective function

and the particle swarm optimization algorithm is used to optimize the charging and discharging power of the energy storage system. Finally the site and capacity of distributed energy storage equipment are determined. In addition

simulation is performed with the actual data of Turpan in Xinjiang

and the results show that switching-in of distributed energy storage system can effectively improve the voltage stability

reduce the networkloss

and suppress the load fluctuation.