计算机科学
网格
信号(编程语言)
传输(电信)
智能电网
荷电状态
控制(管理)
国家(计算机科学)
功率(物理)
事件(粒子物理)
控制理论(社会学)
实时计算
电池(电)
工程类
电信
电气工程
数学
算法
人工智能
程序设计语言
物理
量子力学
几何学
作者
Lantao Xing,Yateendra Mishra,Yu‐Chu Tian,Gerard Ledwich,Chunjie Zhou,Wenli Du,Feng Qian
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2019-05-31
卷期号:49 (8): 1601-1611
被引量:50
标识
DOI:10.1109/tsmc.2019.2916152
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.
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