Background
Type: Article

Robust decentralized multi-machine power system stabilizer design using quantitative feedback theory

Journal: International Journal of Electrical Power and Energy Systems (01420615)Year: October 2012Volume: 41Issue: Pages: 112 - 119
DOI:10.1016/j.ijepes.2012.03.023Language: English

Abstract

A new robust power system stabilizer (PSS) design using Quantitative Feedback Theory (QFT) for damping electromechanical modes of oscillations and enhancing power system stability is proposed in this paper. The design procedure is carried out on a multi-input-multi-output (MIMO), non-minimum phase and unstable plant. A multi-machine electric power system with system parametric uncertainties is considered as a case study. To show the effectiveness of the QFT technique, the proposed method is compared with a conventional PSS (CPSS) whose parameters are tuned using the classical lead-lag compensation and genetic algorithms. Several nonlinear time-domain simulation tests indicate that the suggested control scheme is robust to the changes in the system parameters and also to successfully reject the disturbances. The results also show that the performance of the QFT method given in this paper is more desirable than CPSS and genetic algorithm (GA). © 2012 Elsevier Ltd. All rights reserved.


Author Keywords

Low frequency oscillationsPower system stabilityPower system stabilizerQuantitative feedback theory

Other Keywords

Communication channels (information theory)Electric power systemsGenetic algorithmsStandby power systemsSystem stabilityTime domain analysisControl schemesDesign procedureElectromechanical modesLead-lagLow frequency oscillationsMulti machine power systemMulti-input multi-outputNon-minimum phaseParametric uncertaintiesPower system stabilityPower System StabilizerQuantitative feedback theoryRobust power systemsTime-domain simulationsUnstable plantsDesign