Partition Configuration Optimization Method of Energy Storage in Local Autonomous Power Distribution Networks

In order to maximize the use of renewable energy and distributed energy resources in different regions and conditions, improve the sustainability of energy and reduce the dependence on traditional fossil energy, this paper proposes a regional allocation method of energy storage devices in local autonomous power grids. Firstly, a partition configuration model of energy storage device based on autonomous unit division is proposed. Secondly, the second order cone relaxation technique and the linear technique are used to transform it into a mixed integer second order cone programming model. Finally, the proposed method is validated with an example. The results show that the proposed method can reduce the control range of the local autonomous network obviously, optimize the interactive power among the autonomous units, avoid the frequent transmission of a lot of information, and make the distribution network have better autonomy.