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Open AccessArticle

A Multi-Objective Optimization Problem for Optimal Site Selection of Wind Turbines for Reduce Losses and Improve Voltage Profile of Distribution Grids

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Institute of High Voltage & High Current, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor 81310, Malaysia
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Electrical Department, Payambar’azam Student Research Center, Golestan 87349-49318, Iran
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Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Center, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
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Flanders Make, 3001 Heverlee, Belgium
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College of Engineering and Science, Victoria University, Melbourne 3047, Australia
*
Author to whom correspondence should be addressed.
Energies 2019, 12(13), 2621; https://doi.org/10.3390/en12132621
Received: 4 June 2019 / Revised: 24 June 2019 / Accepted: 29 June 2019 / Published: 8 July 2019
In this paper, the optimal site and size selection of wind turbines (WTs) is presented considering the maximum allowable capacity constraint with the objective of loss reduction and voltage profile improvement of distribution grids based on particle swarm optimization (PSO as a multi-objective problem using weighted coefficients method. The optimal site, size, and power factor of the WTs are determined using PSO. The proposed method is implemented on 84- and 32-bus standard grids. In this study, PSO algorithm is applied to determine the size, site, and power factor of WTs considering their maximum size constraint (with constraint, variant size) and also not considering their maximum size constraint (without constraint, constant size). The simulation results showed that the PSO is effective to find the site, size, and power factor of WTs optimally in the single and multi-objective problem. The results of this method showed that the power loss is reduced more and voltage profile improved more considering WTs maximum allowable size versus not considering this constraint. Additionally, the multi-objective results showed that there is a compromise between the objectives in the multi-objective WTs site selection and the multi-objective problem solution is a more realistic and accurate approach in comparison with the single-objective problem solution. View Full-Text
Keywords: distribution grid; loss reduction; improving voltage profile; maximum allowable wind turbine capacity; Particle Swarm Optimization distribution grid; loss reduction; improving voltage profile; maximum allowable wind turbine capacity; Particle Swarm Optimization
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Naderipour, A.; Abdul-Malek, Z.; Arabi Nowdeh, S.; Gandoman, F.H.; Hadidian Moghaddam, M.J. A Multi-Objective Optimization Problem for Optimal Site Selection of Wind Turbines for Reduce Losses and Improve Voltage Profile of Distribution Grids. Energies 2019, 12, 2621.

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