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 Δẇ 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.
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Khaled Eltag received the B.Sc. degree in Electrical and Electronic Engineering, Faculty of Engineering Sciences from Omdurman Islamic University (OIU), Khartoum, Sudan, in 2003 and his M.S. degree in Electrical Power Engineering, Faculty of Engineering and Architecture from University of Khartoum, Khartoum, Sudan, in 2012. He is studying for a Ph.D. degree from 2016 in Control Science and Engineering with the School of Automation, from Nanjing University of Science and Technology, P. R. China. He was Lecturer at the Department of Electrical and Electronic Engineering from 2006 to 2016, Omdurman Islamic University (OIU), Khartoum, Sudan. His research interests include fuzzy system, non-linear system control, adaptive control, and electrical power system stability and control.
Muhammad Shamrooz Aslam received his B.Sc. and M.S. degree in Electronics and Electrical Engineering from COMSATS University, Abbottabad and Attock campus, Pakistan, in 2009 and 2013 respectively. He is studying for a Ph.D. degree from 2015 in Control Science and Engineering with the School of Automation, from Nanjing University of Science and Technology, P. R. China. He was Lecturer at the Department of Electrical Engineering from 2010 to 2015, COMSATS University, Attock campus. His research interests include fuzzy system, time-delay systems, non-linear systems and network control system, etc.
Rizwan Ullah obtained his B.S. in Electronics Engineering in 2009 and his M.S. in Electrical Engineering in 2013 from COMSATS University Abbottabad and Attock campus Pakistan respectively. He worked as Lecturer at COMSATS University Attock campus from 2013 to 2017. Currently he is pursuing toward a Ph.D degree at School of Automation, Nanjing University of Science and Technology China. His research interest includes control system design, nonlinear output regulation, fuzzy control and electromechanical system control.
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Eltag, K., Aslamx, M.S. & Ullah, R. Dynamic Stability Enhancement Using Fuzzy PID Control Technology for Power System. Int. J. Control Autom. Syst. 17, 234–242 (2019). https://doi.org/10.1007/s12555-018-0109-7
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DOI: https://doi.org/10.1007/s12555-018-0109-7