Power system stabiliser using energy storage

被引:0
作者
Tsang, MW [1 ]
Sutanto, D [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
来源
2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS | 2000年
关键词
power system damping; battery energy storage systems; battery model; Fuzzy Logic Control; Neural Network; dynamic analysis; transient stability improvement; hysteresis control;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A Fuzzy Logic Controller (FLC) and an Artificial Neural Network (ANN) controller are designed for a Battery Energy Storage System (BESS) to improve the stability of power systems. Both single-machine-to-infinite-bus and interconnected multi-machine power systems are considered in this study. Detailed model of BESS is used for accurate dynamic assessment. The model takes into account the switching actions of the converter as well as the battery characteristics. Another novel aspect of this paper is the use of hysteresis technique to control directly the BESS output current. This reduces the complexity of the control system while at the same time provides a tight control of the BESS output. Test results under different disturbances and operating conditions show the proposed BESS is effective in damping out power system oscillations.
引用
收藏
页码:1354 / 1359
页数:2
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