Optimal tuning of a wind plant energy production based on improved grey wolf optimizer

Mohd Zaidi, Mohd Tumari and Mohd Muzaffar, Zahar and Mohd Ashraf, Ahmad (2020) Optimal tuning of a wind plant energy production based on improved grey wolf optimizer. Bulletin of Electrical Engineering and Informatics, 10 (1). pp. 23-30. ISSN 2089-3191 (Print); 2302-9285 (Online). (Published)

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The tuning of optimal controller parameters in wind plant is crucial in order to minimize the effect of wake interaction between turbines. The purpose of this paper is to develop an improved grey wolf optimizer (I-GWO) in order to tune the controller parameters of the turbines so that the total energy production of a wind plant is increased. The updating mechanism of original GWO is modified to improve the efficiency of exploration and exploitation phase while avoiding trapping in local minima solution. A row of ten turbines is considered to evaluate the effectiveness of the I-GWO by maximizing the total energy production. The proposed approach is compared with original GWO and previously published modified GWO. Finally, I-GWO produces the highest total energy production as compared to other methods, as shown in statistical performance analysis.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Energy production; Metaheuristic algorithm; Nature inspired algorithm; Wake interactions; Wind farm
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 30 Jun 2021 14:25
Last Modified: 30 Jun 2021 14:25
URI: http://umpir.ump.edu.my/id/eprint/30506
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