GENETIC ALGORITHM BASED MULTISTAGE FUZZY DC VOLTAGE REGULATOR FOR UPFC FOR DYNAMIC STABILITY ENHANCEMENT OF SMIB SYSTEM

Authors:

P Amrutha,C. Srinivas Rao,M Vijaya Kumar,

DOI NO:

https://doi.org/10.26782/jmcms.spl.5/2020.01.00022

Keywords:

Unified power flow controller (UPFC),genetic algorithm based multistage fuzzy DC voltage regulator (GAMSFDCVR),Conventional controllers (CC.),

Abstract

This paper proposes Genetic algorithm based multistage fuzzy DC voltage regulator (GAMSFDCVR) for unified power flow controller (UPFC) for damping low frequency oscillations. The DC voltage regulator is combination of two single stage fuzzy controllers and performing like PID fuzzy. Genetic algorithm is an optimization algorithm and used for tuning of fuzzy bounds of multistage fuzzy voltage regulator based on the error minimization. The error used for optimization of fuzzy bounds is an integral time area error caused by the deviations of capacitor voltage of UPFC. This method is tested on single machine infinite bus system (SMIB) and the performance is compared with conventional controllers. Results demonstrated that the proposed controller is effectively improving the dynamic stability compared with conventional controllers.

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