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International Transactions on Electrical Energy Systems | Vol.26, Issue.7 | | Pages
Coordinated design of fuzzy supplementary controllers for generator and STATCOM voltage regulators using bat algorithm optimization
A coordinated design of power system stabilizer and power oscillation damping controller for generator and STATCOM voltage regulators is presented. Because fuzzy logic has the potential to overcome the inherent limitations of conventional and analytical model-based design approaches, simple fuzzy logic controllers operating as power system stabilizer and power oscillation damping controller are used in this work to enhance power system stability. The coordinated design of these fuzzy supplementary controllers (FSCs) is formulated as a constrained optimization problem with a time-domain based cost function. The optimal set of controller parameters is determined by applying a simultaneous tuning approach based on bat algorithm optimization. Simulations of a two-area power system under several operating conditions and perturbations are carried out to validate the effectiveness of the proposed alternative in damping system oscillations. Performance of the proposed coordinated FSCs is compared with other coordinated and uncoordinated design approaches, including coordinated FSCs using genetic algorithm and particle swarm optimization. Copyright © 2016 John Wiley & Sons, Ltd.
Original Text (This is the original text for your reference.)
Coordinated design of fuzzy supplementary controllers for generator and STATCOM voltage regulators using bat algorithm optimization
A coordinated design of power system stabilizer and power oscillation damping controller for generator and STATCOM voltage regulators is presented. Because fuzzy logic has the potential to overcome the inherent limitations of conventional and analytical model-based design approaches, simple fuzzy logic controllers operating as power system stabilizer and power oscillation damping controller are used in this work to enhance power system stability. The coordinated design of these fuzzy supplementary controllers (FSCs) is formulated as a constrained optimization problem with a time-domain based cost function. The optimal set of controller parameters is determined by applying a simultaneous tuning approach based on bat algorithm optimization. Simulations of a two-area power system under several operating conditions and perturbations are carried out to validate the effectiveness of the proposed alternative in damping system oscillations. Performance of the proposed coordinated FSCs is compared with other coordinated and uncoordinated design approaches, including coordinated FSCs using genetic algorithm and particle swarm optimization. Copyright © 2016 John Wiley & Sons, Ltd.
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coordinated and uncoordinated design approaches particle swarm optimization timedomain based cost simultaneous tuning approach constrained optimization problem fuzzy supplementary controllers genetic algorithm generator and statcom voltage regulators power oscillation damping controller coordinated design of power system stabilizer
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