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Optimizing offshore wind farm power collection systems using innovative multimodal strategy
This study aims to optimize the electrical layout of offshore wind farms using advanced algorithms and discusses significance of multimodality in offshore cable design. To achieve this, a multimodal optimization approach is introduced which provides a set of optimized solutions for decision-making....
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Published in: | Ocean engineering 2025-01, Vol.315, p.119805, Article 119805 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | This study aims to optimize the electrical layout of offshore wind farms using advanced algorithms and discusses significance of multimodality in offshore cable design. To achieve this, a multimodal optimization approach is introduced which provides a set of optimized solutions for decision-making. The methodology, termed as Nearest Better Neighbor Clustering-Particle Swarm Optimization (NBNC-PSO), leverages the diversity inherent in multimodal algorithms to yield a range of feasible optimized solutions. The approach begins by calculating costs associated with cables within an offshore wind farm collector system, including cable investment, energy loss, and construction costs by considering the wake impact on the wind turbines. The algorithm then facilitates the exploration of various topological structure, optimal cable type selection, cable connections, substation locations proposing multi-optimized modals. By considering changing wind directions and algorithm parameters, the approach enhances the flexibility and robustness of offshore wind farm designs. The proposed method achieves a 14.42% cost reduction under actual wind conditions, and the largest reduction of 15.89% in cost is observed when the wind direction is shifted by 90°.
•Novel topology of offshore wind power collection system integrating the concept of multimodal algorithm.•Life-cycle cost model for the power collection system integrating the wind wake characteristics in the offshore wind farm.•General solving scheme for fulfilling the topology design considering the possible configuration of cables. |
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ISSN: | 0029-8018 |
DOI: | 10.1016/j.oceaneng.2024.119805 |