可控串联补偿神经网络广义逆系统控制方法的数字仿真研究  

STUDY OF ANN-BASED GENERALIZED INVERSE-SYSTEM CONTROL FOR THYRISTOR CONTROLLED SERIES COMPENSATION BY DIGITAL SIMRLATION

作　　者：曹路[1] 李海峰[1] 陈珩[1] 曹然[1] 

机构地区：[1]东南大学电气工程系,南京210096

出　　处：《电力系统及其自动化学报》2000年第6期4-8,共5页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金委员会重点资助项目! (项目号 :5 963 70 5 0 )

摘　　要：本文介绍了提高电力系统暂态稳定性的可控串联补偿 (TCSC)神经网络广义逆系统控制方法 ,以及该方法在数字仿真软件 NETOMAC○R中的实现过程 ,并对含有 TCSC的实际多机电力系统进行了数字仿真。结果表明 ,这种方法具有良好的暂态稳定控制效果 ,而This paper introduces the ANN-based generalized inverse-system control strategy for Thyristor Controlled Series Compensation (TCSC) to enhance the transient stability of power systems. The techniques of applying the controller to the digital simulation program NETOMAC are given and a practical multi-machine power system with TCSC is taken as an example. The simulation results show that the ANN-based generalized inverse-system performs good effect in transient stability control and NETOMAC is a powerful tool for complicated control strategy studies.

关 键 词：电力系统 可控串联补偿 数字仿真 神经网络 

分 类 号：TM743[电气工程—电力系统及自动化]