Original scientific paper

https://doi.org/10.17559/TV-20170725231351

Optimal Placement of Wind Turbines Using Novel Binary Invasive Weed Optimization

Mehmet Beşkirli orcid.org/0000-0002-4842-3817 ; Department of Computer Engineering, Selçuk University, Konya, Turkey
İsmail Koç ; Department of Computer Engineering, Selçuk University, Konya, Turkey
Halife Kodaz ; Department of Computer Engineering, Selçuk University, Konya, Turkey

Abstract

Wind turbines – which are significant in terms of clean energy production globally – are environmentally friendly, consistent and economical systems. Wind turbines, due to developing technology, have become one of the most widely used renewable energy resources, and every country has worked to satisfy its electricity demands with the help of wind energy. As the importance of wind energy increases all around the world, the importance of wind turbine placement also rises. In this study, the aim was to position wind turbines over a certain area of a wind farm to obtain maximum turbine power with minimum investment cost, thereby achieving the highest power efficiency. The experimental studies were conducted over a 2×2 km area; this area was divided into a 10×10 grid, and a 20×20 grid for more efficient placement. Because these operations occurred in a binary search space, Invasive Weed Optimization (IWO) – normally used to solve unceasing optimization problems – was used in this study by obtaining fourteen different binary Invasive Weed Optimization (BIWO1 to BIWO14) algorithms with the help of ten different transfer functions (four from the s-shaped family, four from the v-shaped family, two based on modulo 2, ceil, ceil-round, ceil-floor and round-floor). The proposed method was compared with other studies carried out in the binary search space found in published literature. As a result, it was seen that the proposed algorithm was an efficient algorithm for solving the problem of wind turbine placement to achieve an optimal placement.

Keywords

binary invasive weed optimization; optimization; renewable energy; wind turbine placement problem

Hrčak ID:

217087

URI

https://hrcak.srce.hr/217087

Publication date:

16.2.2019.

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