International Journal of Advances in Electrical Engineering
2025, Vol. 6, Issue 2, Part A
Optimal siting of wind turbines using the grey wolf optimization algorithm
Author(s): Hussein Ali Jalil
Abstract: Optimal siting of wind turbines is one of the key issues in the field of clean and sustainable energy production, attracting the attention of engineers and researchers aiming to improve their performance and efficiency. In this regard, the use of metaheuristic algorithms has been proposed as powerful and effective methods for the optimal placement of wind turbines. In this study, we investigate and optimize the siting of wind turbines using the Grey Wolf Optimization (GWO) algorithm. The main goal of this research is to increase the efficiency of energy production and reduce inter-turbine interference by selecting optimal installation locations. Initially, the turbines were assumed to be positioned regularly and at equal distances. Then, using the Grey Wolf Optimization algorithm, the optimal siting of turbines was performed based on two main criteria: maximizing the produced energy and minimizing interference between turbines. Google Colab was used for simulating and executing the algorithm. The results of the algorithm's implementation showed that the Grey Wolf Optimization algorithm was able to effectively identify the optimal turbine locations. Analysis of the results indicated that with an increase in the number of iterations, the amount of produced energy significantly increased, while interference between turbines was minimized. This demonstrates the efficiency and effectiveness of the Grey Wolf Optimization algorithm in solving the problem of optimal siting of wind turbines. In general, it can be concluded that using the Grey Wolf Optimization algorithm for optimal wind turbine siting is a suitable and efficient approach that can contribute to improved energy efficiency and reduced interference. These results can pave the way for further studies and research in the application of optimization methods in the field of renewable energy.
Pages: 01-06 | Views: 96 | Downloads: 35
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How to cite this article:
Hussein Ali Jalil. Optimal siting of wind turbines using the grey wolf optimization algorithm. Int J Adv Electr Eng 2025;6(2):01-06.
