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

Mohd Zaidi Mohd Tumari, Mohd Muzaffar Zahar, Mohd Ashraf Ahmad

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 paperis to develop anImprovedGrey 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.


Keywords


Energy production; Metaheuristic algorithm; Nature inspired algorithm; Wake interactions; Wind farm


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