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Issue title: Special Section: Recent Advances in Machine Learning and Soft Computing
Guest editors: Srikanta Patnaik
Article type: Research Article
Authors: Nahak, Narayana | Mallick, Ranjan Kumarb; *
Affiliations: [a] Department of Electrical Engineering, Siksha ‘O’ Anusandhan, Deemed to be University, Bhubaneswar, India | [b] Department of Electrical and Electronics Engineering, Siksha ‘O’Anusandhan, Deemed to be University, Bhubaneswar, India
Correspondence: [*] Corresponding author. Ranjan Kumar Mallick, Department of Electrical and Electronics Engineering, Siksha ‘O’ Anusandhan, Deemed to be University, Bhubaneswar, India. E-mail: rkm.iter@gmail.com.
Abstract: In this work a UPFC based novel optimal fuzzy PID controller is proposed whose gains are optimized by PSO-GWO algorithm considering integral of time weighted absolute error. The proposed controller has been employed to damp low frequency oscillations in power system considering wide range of operating conditions like change in input mechanical power, line loading, change in line reactance with single and multi machine power system. The fuzzy optimized PID controller has been compared with normal optimized PID controller with same optimization techniques to justify its effectiveness. Also the supremacy of PSO-GWO technique has been compared with PSO and GWO techniques by optimizing the gains of fuzzy PID controller. The detailed eigen value analysis and system response prove that proposed fuzzy PID controller is much superior than PID controller and PSO-GWO optimized controller is also superior as compared to PSO and GWO optimized fuzzy PID controllers to damp low frequency oscillations in power system and there by enhancing small signal stability of power system.
Keywords: FACTS, UPFC, PSO-GWO, fuzzy PID, small signal stability
DOI: 10.3233/JIFS-169606
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 501-512, 2018
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