Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (10): 132-138.doi: 10.3969/j.issn.1000-565X.2011.10.023

• Power & Electrical Engineering • Previous Articles     Next Articles

Emergency Voltage Model Predictive Control in Power Systems Containing Wind Farms

Wang ShuangLiu Ming-boHu BoXie Min1   

  1. 1. School of Electric Power∥Guangdong Key Laboratory of Clean Energy Technology,South China University of Technology,Guangzhou 510640,Guangdong,China; 2. State Grid Energy Research Institute,Beijing 100052,China
  • Received:2010-12-06 Revised:2011-05-17 Online:2011-10-25 Published:2011-09-01
  • Contact: 刘明波(1964-),男,教授,博士生导师,主要从事电力系统优化、运行与控制研究. E-mial: epmbliu@scut.edu.cn E-mail:wangshuang107@gmail.com
  • About author:王爽(1983-) ,女,博士生,主要从事电力系统优化、运行与控制研究.
  • Supported by:

    国家自然科学基金资助项目( 50777021, 50907023) ; 广东省自然科学基金博士启动项目( 9451064101003157)

Abstract:

In this paper,the design method of an emergency voltage controller for the power systems containing wind farms is presented based on the nonlinear model-predictive control theory. In this method,a receding dynamic optimization model is proposed based on the quasi-steady-state approximate models of power systems. Then,the proposed model is described as an optimal control problem with continuous and discrete time differential-algebraic equations,with the purpose to achieve voltage deviation and control cost minimization. Moreover,Radau collocation method is used to convert the proposed model into a nonlinear programming problem which can be solved by using the optimization solver IPOPT through the modeling software AMPL. Finally,the effectiveness of the proposed method is verified on the modified New England 10-machine 39-bus system.

Key words: wind farm, long-term voltage stability, model predictive control, Radau collocation method, nonlinear programming