Publication: BBO algorithm-based tuning of PID controller for speed control of synchronous machine
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Date
2016
Authors
Kasilingam G.
Pasupuleti J.
Journal Title
Journal ISSN
Volume Title
Publisher
Turkiye Klinikleri Journal of Medical Sciences
Abstract
A biogeography-based optimization (BBO) algorithm was used for tuning the parameters of a proportional integral derivative (PID) controller-based power system stabilizer (PSS). The proposed method minimizes the low frequency electromechanical oscillations (0.1-2.5 Hz) and enhances the stability of the power system by optimally tuning the PID parameters. This was achieved by minimizing the objective function of the integral square error for various disturbances. The performance of the BBO algorithm was tested on a single machine infinite bus system for a different range of operating conditions and the results were compared with particle swam optimization, adaptation law, and conventional PSS. The result analysis concluded that the BBO algorithm damps out the low frequency oscillations in the rotor of the synchronous machine effectively when compared to other methods. The algorithms were simulated with MATLAB/Simulink. The results from the simulation showed that the proposed controller yields a fast convergence rate and better dynamic performance. � 2016 T�bitak.
Description
Algorithms; Circuit oscillations; Controllers; Ecology; Electric control equipment; Electric power system control; Heuristic algorithms; MATLAB; Optimization; Particle swarm optimization (PSO); Power control; Synchronous machinery; Three term control systems; Tuning; Two term control systems; Adaptation law; Biogeography-based optimization algorithms; Biogeographybased optimizations (BBO); Electromechanical oscilla-tions; PID controllers; Power System Stabilizer; Proportional integral derivative controllers; Single machine infinite bus system; Proportional control systems