Research on Distributed Control of Energy Storage Based on Big Data Algorithm

At present, the distribution of distributed power resources in China is extremely uneven, which brings many problems to the planning and operation of distribution network. It is worth pondering how to effectively alleviate the current situation of unbalanced development of distributed generation, and promote the renewal of China's energy pattern with new forms. The continuous development of big data technology has brought many new ideas and challenges to the analysis and control of power system. With the development of distributed power, energy storage, monitoring and protection devices, the traditional distribution network has gradually evolved into an active distribution network with considerable controllability. The control strategy of distributed energy storage (DES) system based on consistency algorithm is proposed to reduce the loss of energy storage system during charging and discharging. In this system, each agent represents a DES system in the microgrid. At the end of this paper, the extended IEEE33 active distribution network is taken as an example to illustrate the voltage out of limit problem caused by the access to the distributed power supply. By controlling the charging and discharging state of the electric vehicle charging pile, the safe and stable operation of the distribution network is realized with less switching operations, and the feasibility and effectiveness of the data driven self-learning control method of the distribution network are verified.