文献类型：期刊文献

英文题名：Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid

作者：Xing, Lantao[1];Mishra, Yateendra[1];Tian, Yu-Chu[1];Ledwich, Gerard[1];Zhou, Chunjie[2];Du, Wenli[3];Qian, Feng[3]

机构：[1]Queensland Univ Technol, Sch Elect Engn & Comp Sci, Brisbane, Qld 4001, Australia;[2]Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Hubei, Peoples R China;[3]East China Univ Sci & Technol, Coll Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2019

卷号：49

期号：8

起止页码：1601

外文期刊名：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

收录：;EI(收录号：20193007230999);WOS:【SCI-EXPANDED(收录号:WOS:000476789700006)】；

基金：This work was supported in part by the Australian Research Council through the Discovery Project Scheme under Grant DP160102571 and Grant DP170103305, in part by the National Natural Science Foundation of China under Grant 61873103, and in part by the Ministry of Education of China through the 111 Project Scheme under Grant B17017. This paper was recommended by Associate Editor D. Yue.

语种：英文

外文关键词：Battery energy storage systems (BESSs); distributed control; event-triggered control; smart grid; state-of-charge (SoC)

摘要：Modern power grid is increasingly integrated with battery energy storage systems (BESSs). This paper deals with the problem of state-of-charge (SoC) balance control for multiple distributed BESSs in smart grid. The BESSs are expected to work cooperatively to not only fulfil the overall power requirement but also meet the constraints of the same relative SoC variation rate. To achieve this objective, a distributed SoC balance control approach is presented with event-triggered signal transmissions. It is designed with the dynamic average consensus (DAC) mechanism for parameter estimations. The DAC enables distributed control of each BESS through communicating with its neighboring BESSs. Different from traditional periodic signal transmission, the event-triggered signal transmission embedded in our approach allows each BESS to transmit signal to its neighboring BESSs only when needed, thus reducing the communication traffic. Theoretical lower bounds are established for consecutive interevent intervals such that the Zeno behavior is excluded. Case studies are conducted to demonstrate the effectiveness of the presented approach.