可控串联电容补偿装置的神经网络α阶逆系统控制  

NEURAL NETWORK INVERSE CONTROL OF THYRISTOR CONTROLLED SERIES COMPENSATOR

作　　者：戴先中[1] 刘军[1] 唐勇[2] 李乃湖[2] 陈珩[2] 

机构地区：[1]东南大学自动控制系 [2]东南大学电气工程系

出　　处：《中国电机工程学报》1999年第2期56-60,共5页Proceedings of the CSEE

基　　金：国家自然科学基金

摘　　要：研究将神经网络α阶逆系统控制策略用于可控串联电容补偿装置的控制。针对从实际系统等值简化而得的单机无穷大双回线电力系统，探讨了神经网络α阶逆系统的辨识和附加线性控制器的设计；在不同运行方式下，研究新的控制策略对系统暂态稳定的作用。仿真结果表明：同常规的ＰＩＤ控制策略相比，文中所提出的控制策略具有相当强的自适应性，可大大提高电力系统的暂态稳定性。This paper focuses on using neural network α th order inverse control strategy in the control of Thyristor Controlled Series Compensator (TCSC) of transmission system. The identification of neural network α th order inverse system and the design of additional linear controller are studied for the case of a single machine infinite bus system simplified from an actual power system. The action of this new strategy on power system stability is also studied. Simulation results show comparing with conventional PID control strategy, the control strategy proposed in this paper is strongly adaptive and the stability of the power systems can be greatly enhanced.

关 键 词：TCSC 神经网络 Α阶逆系统 电力系统稳定性 

分 类 号：TM712[电气工程—电力系统及自动化]