A Case Study: Layout Optimization of Three Gorges Wind Farm Pakistan, Using Genetic Algorithm

Muhammad Bin Ali, Zeshan Ahmad, Saad Alshahrani*, Muhammad Rizwan Younis, Irsa Talib, Muhammad Imran

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Wind is an important renewable energy source. The majority of wind farms in Pakistan are installed in Jhimpir, Sindh Wind Corridor. At this location, downstream turbines encounter upstream turbines’, wake, decreasing power output. To maximize the power output, there is a need to minimize these wakes. In this research, a method is proposed to maximize the power output using a Genetic Algorithm (GA). Hub heights and inter-turbine spacing are considered variables in this method. Two wind farms located at Jhimpir, Sindh, namely, Second and Third Three Gorges Wind Farms (TGWFs), have been analyzed. Three different cases are considered to maximize the power output. In Case 1, thesame hub heights and inter-turbine spacing without wake effects are considered. In Case 2, the same hub heights and inter-turbine spacing with wake effects are considered. In Case 3, variable hub heights and inter-turbine spacing with wake effects are considered. The results revealed that TGWFs, with variable hub heights and inter-turbine spacing, produce more power output. It is also revealed that the increase in power output, in the case of two different hub heights, is greater in comparison to three different hub heights. Eventually, the proposed method may help in the layout optimization of a wind farm.

Original languageEnglish
Article number16960
Number of pages18
JournalSustainability (Switzerland)
Volume14
Issue number24
DOIs
Publication statusPublished - 17 Dec 2022

Bibliographical note

Funding Information:
Deanship of Scientific Research at King Khalid University, Saudi Arabia, Grant No: R.G.P.2/32/43.

Funding Information:
Deanship of Scientific Research at King Khalid University, Saudi Arabia, Grant No: R.G.P.2/32/43.

Publisher copyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords

  • genetic algorithm
  • hub height
  • inter-turbine spacing
  • layout optimization
  • turbine
  • wind energy

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