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Issue title: Special Section: Intelligent tools and techniques for signals, machines and automation
Guest editors: Smriti Srivastava, Hasmat Malik and Rajneesh Sharma
Article type: Research Article
Authors: Singh, Bijay Kumara | Kumar, Nagendrab; * | Singh, Akhilesha | Joshi, Bhagawati Prasadc; *
Affiliations: [a] Department of Electrical Engineering, SEI Pithoragarh, Uttarakhand, India | [b] Department of Electrical Engineering, IITRoorki, Uttarakhand, India | [c] Department of Applied Sciences, SEI Pithoragarh, Uttarakhand, India
Correspondence: [*] Corresponding authors. Nagendra Kumar, Department of Electrical Engineering, IITRoorki-247 667, Uttarakhand, India. E-mail: [email protected] and Bhagawati Prasad Joshi, Department of Applied Sciences, SEI Pithoragarh-262 501, Uttarakhand, India. E-mail: [email protected].
Abstract: Wind turbine generator (WTG) and solar thermal power system (STPS) are growing field of renewable energy. These technologies are considered as the feasible options for the generation of electricity in future. However, the inclusion of these technologies affects the output power which intern affects the power frequency. Successful operation of a power system frequency requires frequency in operational limit, therefore, in this study a PID controller is designed for frequency control of a hybrid power system. Big bang big crunch (BBBC) optimization technique is used for determining the parameters of PID controller. The performance of controller has been checked with random variation of load demands. The obtained results demonstrate the effectiveness of the controller. Further, a comparative analysis of results obtained with BBBC has also been performed with genetic algorithm (GA) based controller.
Keywords: AGC, PID, WTG, STPS, BBBC
DOI: 10.3233/JIFS-169790
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5063-5070, 2018
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