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

Amirreza Naderipour, Zulkurnain Abdul-Malek, Saber Arabi Nowdeh, Foad H. Gandoman and Mohammad Jafar Hadidian Moghaddam
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Amirreza Naderipour: Institute of High Voltage & High Current, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor 81310, Malaysia
Zulkurnain Abdul-Malek: Institute of High Voltage & High Current, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor 81310, Malaysia
Saber Arabi Nowdeh: Electrical Department, Payambar’azam Student Research Center, Golestan 87349-49318, Iran
Foad H. Gandoman: Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Center, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Mohammad Jafar Hadidian Moghaddam: College of Engineering and Science, Victoria University, Melbourne 3047, Australia

Energies, 2019, vol. 12, issue 13, 1-15

Abstract: 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.

Keywords: distribution grid; loss reduction; improving voltage profile; maximum allowable wind turbine capacity; Particle Swarm Optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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