Decentralized Adaptive Dynamic Surface Control for Large-scale Multi-machine Power Systems with Unknown Time Delay

被引：0
|
作者：
Zhang, Xiuyu [1 ]
Zhu, Guoqiang [1 ]
Chen, Xinkai [2 ]
Li, Xiaoming [1 ]
机构：
[1] Northeast Elect Power Univ, Sch Automat Engn, Jilin 132012, Jilin, Peoples R China
[2] Shibaura Inst Technol, Dept Elect & Informat Syst, Minuma Ku, Saitama 3378570, Japan
来源：
2018 3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (IEEE ICARM) | 2018年
关键词：
VOLTAGE REGULATION; EXCITATION CONTROL; STABILITY; TRACKING; DESIGN;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A decentralized adaptive quantized dynamic surface control scheme is proposed for the large scale multi machine power systems with static var compensator (SVC) and the unknown time delays. The 'explosion of complexity' problem in backstopping method, the uncertainties and complexities introduced by SVC are overcome. By estimating the weight vector norm of neural networks, the number of the parameters need to be estimated in each step is greatly reduces. It is proved that all the signals in the closed-loop system are ultimately uniformly bounded. Simulation results illustrate the validity of the proposed control scheme.
引用
收藏
页码：207 / 212
页数：6
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