Wind farm array cable layout optimisation for complex offshore sites - a decomposition based heuristic approach
Taylor, Peter and Yue, Hong and Campos-Gaona, David and Anaya-Lara, Olimpo and Jia, Chunjiang (2023) Wind farm array cable layout optimisation for complex offshore sites - a decomposition based heuristic approach. IET Renewable Power Generation, 17 (2). pp. 243-259. ISSN 1752-1416 (https://doi.org/10.1049/rpg2.12593)
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Abstract
As the number of turbines in offshore wind farms increases, so does the complexity of cable routing optimisation problems. Optimising the collector network is a crucial task for developers contributing between 15% and 30% of initial investment costs. For some algorithms, increasing the number of turbines leads to unfavourable scaling of the computational time and memory required to reach optimal solutions. Heuristics offer an alternative but are likely to incur increases in total costs relative to the optimal solution since heuristic searching cannot guarantee optimality. This study proposes a novel optimisation algorithm based on the ant-colony heuristic by introducing decomposition techniques informed by the problem formulation to improve the computational performance. The new algorithm can reach near-optimal solutions and requires little computational resource.Three algorithms are compared on a set of six case studies, including mixed-integer linear programming (MILP), classical ant-colony optimisation (ACO) algorithm, and the pro-posed ACO with decomposition, ACOsp. Optimal solutions were found using the MILP algorithm. ACO algorithm solutions cost 0.4–7.6% more than optimal solutions, whereas ACOsp solutions cost only 0.0–1.4% more than optimal solutions. The proposed ACOsp algorithm has shown to be a robust approach for large-scale cable layout optimisation problems (>100 turbines) without requiring high-performance computing facilities.
ORCID iDs
Taylor, Peter, Yue, Hong ORCID: https://orcid.org/0000-0003-2072-6223, Campos-Gaona, David ORCID: https://orcid.org/0000-0002-0347-6288, Anaya-Lara, Olimpo ORCID: https://orcid.org/0000-0001-5250-5877 and Jia, Chunjiang;-
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Item type: Article ID code: 82496 Dates: DateEvent3 February 2023Published25 September 2022Published Online1 September 2022Accepted2 May 2022SubmittedSubjects: Technology > Hydraulic engineering. Ocean engineering
Technology > Engineering (General). Civil engineering (General)Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 29 Sep 2022 15:26 Last modified: 12 Dec 2024 13:07 URI: https://strathprints.strath.ac.uk/id/eprint/82496