E3S Web Conf.
Volume 336, 2022The International Conference on Energy and Green Computing (ICEGC’2021)
|Number of page(s)||7|
|Published online||17 January 2022|
New approach to optimize the cost and interconnections of wind turbines using the PSO algorithm
SSDIA Laboratory, Hassan II University of Casablanca, ENSET of Mohammedia, 28830, Morocco
* Corresponding author: firstname.lastname@example.org
Wind power’s current growth rates are among the fastest in the world. Research on techniques to make wind farms more energy efficient is warranted for this reason. Optimizing the location of wind turbines within wind farms makes the use of wind energy more efficient and makes wind farms more competitive with other energy sources. The investment expenses for the only substations and electrical infrastructures of the offshore wind farms represent between 15 and 30% of the overall investment cost of the project, this leads us to study the optimization of the location of the substation. can reduce these expenses, which also reduces the total cable length inside the wind farm. Our objective is therefore to study the optimization of wind farms with two objective functions aimed at minimizing the costs of installing wind turbines and reducing connectivity between wind turbines using a metaheuristic PSO algorithm.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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