Optimal Collector Grid Design for Wind Farm Based on Genetic Algorithm

Authors

  • P. R. Duailibe Monteiro Department of Electrical Engineering and Post-Graduate Program in Industrial Assembly, Fluminense Federal University, Rua Passo da Pátria, Niterói, CEP 24210-240, Brasil.
  • T. T. Borges Department of Electrical Engineering, Fluminense Federal University, Rua Passo da Pátria, 156, Niterói, CEP 24210-240, Brasil.
  • A. F. Schiochet Petróleo Brasileiro S.A., Rua Henrique Valadares, 28, Rio de Janeiro, CEP 20231-030, Brasil.

DOI:

https://doi.org/10.9734/bpi/naer/v15/6679D

Keywords:

Wind farm, network configuration, collection grid, genetic algorithm, network optimization

Abstract

This paper present the optimization of the collector grid configuration of wind farms using genetic algorithm (GA). The purpose is to find a radial configuration that connects a set of wind generators to the substation, in an optimum way, minimizing operational and construction costs, reducing loss and therefore contributing to sustainability.  In the optimization process of the collector grid are adopted as the objective function, the investment in the construction and the present value of energy losses. This paper also analyzes the different criteria that can be adopted in the design of the wind farm’s collector grid. The results present the best configuration of the collector grid and show that the design of the collector grid is sensitive to the criteria adopted for the objective function.

Published

2021-09-30

How to Cite

P. R. Duailibe Monteiro, T. T. Borges, & A. F. Schiochet. (2021). Optimal Collector Grid Design for Wind Farm Based on Genetic Algorithm. New Approaches in Engineering Research Vol. 15, 95–109. https://doi.org/10.9734/bpi/naer/v15/6679D

Issue

New Approaches in Engineering Research Vol. 15

Section

Chapters