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All Journal Bulletin of Electrical Engineering and Informatics
Mohd Muzaffar Zahar
Universiti Tun Hussein Onn Malaysia
Electrical & Electronics Engineering

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Optimal tuning of a wind plant energy production based on improved grey wolf optimizer Mohd Zaidi Mohd Tumari; Mohd Muzaffar Zahar; Mohd Ashraf Ahmad
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.2509

Abstract

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.
Co-Authors Mohd Ashraf Ahmad Mohd Zaidi Mohd Tumari