Regular Papers
International Journal of Control, Automation and Systems 2019; 17(1): 234-242
Published online January 3, 2019
https://doi.org/10.1007/s12555-018-0109-7
© The International Journal of Control, Automation, and Systems
Dynamic Stability Enhancement Using Fuzzy PID Control Technology for Power System
This article presents Fuzzy Particle Swarm Optimization of PID controller PSO-FPIDC used as a Conventional Power System Stabilizer CPSS to improve the dynamic stability performance of generating unit during low frequency oscillations. Speed deviation Δw and acceleration Δw˙ of synchronous generator are taken as input to the PSO-FPIDC controller connected to Single Machine Infinite Busbar SMIB system. This controller examined under different perturbation scenarios. The dynamic performance of the PSO-FPIDC is compared with the Fuzzy Teacher Learner Based Optimization PID TLBO-FPIDC, PSO-PID, TLBO-PID and optimal parameters of convectional Power System Stabilizer CPSS. The results show that the performance of PSO-FPIDC has small overshoot/ undershoot and damp out lower frequency oscillations very quickly as compared to other controllers."
Keywords Dynamic stability, fuzzy PID control, power system stabilizer, PSO, single machine infinite bus, TLBO.
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Regular Papers
International Journal of Control, Automation and Systems 2019; 17(1): 234-242
Published online January 1, 2019 https://doi.org/10.1007/s12555-018-0109-7
Copyright © The International Journal of Control, Automation, and Systems.
Dynamic Stability Enhancement Using Fuzzy PID Control Technology for Power System
Khaled Eltag, Muhammad Shamrooz Aslam*, and Rizwan Ullah
Nanjing University of Science and Technology
Abstract
This article presents Fuzzy Particle Swarm Optimization of PID controller PSO-FPIDC used as a Conventional Power System Stabilizer CPSS to improve the dynamic stability performance of generating unit during low frequency oscillations. Speed deviation Δw and acceleration Δw˙ of synchronous generator are taken as input to the PSO-FPIDC controller connected to Single Machine Infinite Busbar SMIB system. This controller examined under different perturbation scenarios. The dynamic performance of the PSO-FPIDC is compared with the Fuzzy Teacher Learner Based Optimization PID TLBO-FPIDC, PSO-PID, TLBO-PID and optimal parameters of convectional Power System Stabilizer CPSS. The results show that the performance of PSO-FPIDC has small overshoot/ undershoot and damp out lower frequency oscillations very quickly as compared to other controllers."
Keywords: Dynamic stability, fuzzy PID control, power system stabilizer, PSO, single machine infinite bus, TLBO.
Vol. 23, No. 3, pp. 683~972
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