A Modified Grey Wolf Optimizer For Improving Wind Plant Energy Production

Mohd Tumari, Mohd Zaidi and Suid, Mohd Helmi and Ahmad, Mohd Ashraf (2020) A Modified Grey Wolf Optimizer For Improving Wind Plant Energy Production. Indonesian Journal of Electrical Engineering and Computer Science, 18 (3). pp. 1123-1129. ISSN 2502-4752

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Abstract

The main problem of existing wind plant nowadays is that the optimum controller of single turbine degrades the total energy production of wind farm when it is located in a large wind plant. This is owing to its greedy control policy that can not cope with turbulence effect between turbines. This paper proposes a Modified Grey Wolf Optimizer (M-GWO) to improvise the controller parameter of an array of turbines such that the total energy production of wind plant is increased. The modification employed to the original GWO is in terms of the updated mechanism. This modification is expected to improve the variation of exploration and exploitation rates while avoiding the premature convergence condition. The effectiveness of the M-GWO is applied to maximize energy production of a row of ten turbines. The model of the wind plant is derived based on the real Horns Rev wind plant in Denmark. The statistical performance analysis shows that the M-GWO provides the highest total energy production as compared to the standard GWO, Particle Swarm Optimization (PSO) and Safe Experimentation Dynamics (SED) methods.

Item Type:	Article
Uncontrolled Keywords:	Energy production, Metaheuristic algorithm, Nature inspired, Algorithm, Wake interactions, Wind farm
Divisions:	Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Sabariah Ismail
Date Deposited:	10 Mar 2021 15:45
Last Modified:	10 Mar 2021 15:45
URI:	http://eprints.utem.edu.my/id/eprint/24897
Statistic Details:	View Download Statistic

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