Online tuning of power system stabilizer employing genetic programming for stability enhancement

https://doi.org/10.1016/j.jesit.2018.03.007Get rights and content
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Abstract

This paper aims to design optimal power system stabilizer (PSS) employing genetic programming (GP) to enhance system stability through damping the low-frequency oscillations out. GP is used to develop model equations for PSS parameters where the inputs are generator terminal voltage, active and reactive powers. The dynamic performance of the proposed technique is validated through the values of statistical performance measures. The mean squared error (MSE) and mean absolute percentage error (MAPE) are quite low whereas the coefficient of determination (R2) is reasonably high for the developed model. In addition, the eigenvalue and minimum damping ratio analysis, as well as time domain simulation, were carried out, which also demonstrate the efficacy of the proposed model.

Keywords

Damping ratio
Eigenvalue
Genetic programming
Low-frequency oscillations
Power system stabilizer

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Peer review under the responsibility of Electronics Research Institute (ERI).