A Novel Adaptive LSHADE Algorithm for Wind Farm Layout Optimization with Complex Wake Effect

Jiatianyi Yu, Baohang Zhang, Qianhang Du, Wenshui Wang, Zhenyu Lei, Shangce Gao*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As fossil fuel reserves diminish, the urgency for clean, renewable energy has grown, with wind energy emerging as a leading solution. However, optimizing wind farm layouts remains particularly challenging due to the complex wake effect, which significantly reduces energy conversion efficiency. Traditional mathematical approaches struggle to effectively solve the Wind Farm Layout Optimization (WFLO) problem. In response, this study proposes a Novel Adaptive LSHADE Algorithm (A-LSHADE) designed to address WFLO with complex wake effect. The algorithm adaptively guides the search process by selecting the optimal individuals at each iteration. Comprehensive experiments were performed under three different wind scenarios, analyzing the impact of varying turbine quantities on conversion efficiency. The results demonstrate that the proposed LSHADE variant consistently outperforms six state-of-the-art competitors in all tested conditions, delivering superior conversion efficiency.

Original languageEnglish
Title of host publicationProceedings of the 2024 IEEE International Conference on Progress in Informatics and Computing, PIC 2024
EditorsYinglin Wang, Xing Wu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages162-165
Number of pages4
ISBN (Electronic)9798350363203
DOIs
StatePublished - 2024
Event9th IEEE International Conference on Progress in Informatics and Computing, PIC 2024 - Shanghai, China
Duration: 2024/12/202024/12/22

Publication series

NameProceedings of the 2024 IEEE International Conference on Progress in Informatics and Computing, PIC 2024

Conference

Conference9th IEEE International Conference on Progress in Informatics and Computing, PIC 2024
Country/TerritoryChina
CityShanghai
Period2024/12/202024/12/22

Keywords

  • Adaptive strategy
  • Metaheuristic
  • Wake effect
  • Wind farm layout optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Safety, Risk, Reliability and Quality
  • Health Informatics

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