%0 Journal Article
%A WU Jie
%A ZHONG Wei-feng
%A ZHOU Wen-hui
%A ZOU Sheng
%T Adaptive Energy Storage System Control for Load Regulation in Smart Grid
%D 2017
%R 10.13190/j.jbupt.2017.01.005
%J Journal of Beijing University of Posts and Telecommunications
%P 32-35,61
%V 40
%N 1
%X An adaptive energy storage system control method was proposed to regulate the loads caused by electric vehicle dynamic wireless charging in smart grid. The proposed method jointly considers the grid-side power ramp rate and the charging/discharging impact on a battery's life in the system cost function. Adaptive dynamic programming algorithm is used to estimate and optimize the long-term system cost through online neural network training, so that the approximate optimal control strategy for the energy storage system can be obtained. Simulation shows that the proposed method can reduce the grid-side power ramp rate stabilizing the loads and also prolong the battery's life of the energy storage system.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017.01.005