Optimization of Power System Stabilizer by Genetic Algorithm
| Authors: | Miklovicova Eva, Slovak University of Technology, Slovakia (Slovak Republic)
Murgaš Ján, Slovak University of Technology, Slovakia (Slovak Republic)
Sekaj Ivan, Slovak University of Technology, Slovakia (Slovak Republic)
Foltin Martin, Slovak University of Technology, Slovakia (Slovak Republic) |
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| Topic: | 6.3 Power Plants and Power Systems |
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| Session: | Power Plants and Power Systems Modelling and Control |
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| Keywords: | power system stabilizers, parameter optimization, genetic algorithm |
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Abstract
Power system stabilizers (PSS) play an important role in damping of power system oscillations. An intensive research activity has been devoted to design of their structure and optimal setting of their parameters. In this paper the simultaneous optimization of the multiloop PSS and the automatic voltage regulator parameters (AVR) by means of genetic algorithm is proposed. Using an example of the 259 MVA turbogenerator excitation system it is shown that the genetic algorithms are able to find the optimal parameters of excitation system so that the requirements on terminal voltage performances as well as on damping of active power oscillations are satisfied.
