Research Article Open Access

Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems

Seyed Abbas Taher1 and Reza Hematti1
  • 1 ,
American Journal of Applied Sciences
Volume 5 No. 7, 2008, 818-828

DOI: https://doi.org/10.3844/ajassp.2008.818.828

Submitted On: 14 November 2007 Published On: 31 July 2008

How to Cite: Taher, S. A. & Hematti, R. (2008). Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems . American Journal of Applied Sciences, 5(7), 818-828. https://doi.org/10.3844/ajassp.2008.818.828

Abstract

The Load Frequency Control problem has been a major subject in electrical power system design/operation and is becoming more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple proportional-integral controllers. However, since the PI control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamic performance for a wide range of operation conditions and various load changes scenarios in multi-area power system. For this problem, in this paper quantitative feedback theory method is used for LFC control in multi-area power system with system parametric uncertainties. The system parametric uncertainties are obtained by changing parameters by 40% simultaneously from their typical values. A two-area power system example with a wide range of parametric uncertainties is given to illustrate proposed method. To show effectiveness of proposed method, a classical I type controller optimized by genetic algorithm is designed for LFC for comparison with QFT. The validity of the proposed method was confirmed by comparing it results with those of traditional methods (I controller optimized by genetic algorithm) has been confirmed.

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Keywords

  • Load Frequency Control
  • robust control
  • quantitative feedback theory
  • decentralized control deregulated power system