Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (1): 32-35,61.doi: 10.13190/j.jbupt.2017.01.005

• Papers • Previous Articles     Next Articles

Adaptive Energy Storage System Control for Load Regulation in Smart Grid

ZHOU Wen-hui1,2, ZHONG Wei-feng1, WU Jie2, ZOU Sheng1   

  1. 1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China;
    2. Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong Zhongshan 528402, China
  • Received:2016-06-27 Online:2017-02-28 Published:2017-03-14

Abstract: 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.

Key words: smart grid, electric vehicle, dynamic wireless charging, energy storage system, adaptive dynamic programming

CLC Number: