A Model Predictive based Emergency Control Scheme using TCSC to Improve Power System Transient Stability

被引：0

作者：

Du, Xiaochen ^{[1
]}

Ernst, Damien

Crossley, Peter ^{[1
]}

机构：

[1] Univ Manchester, Manchester, Lancs, England

来源：

2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2012年

关键词：

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 Model Predictive based emergency control scheme using TCSC to improve power system transient stability will be described in this paper. Supervised learning (SL) is utilized to predict power system dynamics by assuming each control action has been taken. Furthermore, a feature selection technique, that chooses the most relevant features, is used to improve the performance of the SL prediction. The model predictive control (MPC) technique is performed every discrete time interval, so the optimal control action is always selected. The proposed control scheme has been verified in a two machine four-bus system, and simulation results show it can effectively maintain system synchronism in the aftermath of a large disturbance.

引用

页数：7

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