An angle-based partition design method for offshore wind farm collector systems

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This preprint proposes an angle-based partition design method to optimize offshore wind farm collector systems by improving reliability while reducing overall costs. The authors combine a minimum spanning tree algorithm with angle-based partition theory under constraints including feeder count, subsea cable current capacity, balanced feeder power, and avoidance of cable crossings, and validate the approach using a case study of a 1-GW offshore wind farm in Guangdong, China with a multi-criteria decision analysis framework (PROMETHEE). They report that the resulting design scheme yields the best evaluation performance, producing a more balanced distribution of turbines per feeder with virtually no increase in subsea cable length compared with traditional approaches (Improved Prim and Angle-based K-means clustering). The paper is presented as a preprint and explicitly notes it has not been peer reviewed, which may limit confidence in the reported results. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

This study proposes a novel angle-based partition design method to optimize the collector system of offshore wind farms. It highlights the importance of improving the reliability of the collector system while reducing overall costs. By integrating the minimum spanning tree algorithm with angle-based partition theory, this method minimizes subsea cable lengths and reduces failure risks under constraints such as the number of feeders, subsea cable current capacity, balanced feeder power, and avoidance of cable crossings, thereby enhancing system efficiency and reliability. A case study on a recent 1-GW offshore wind farm in Guangdong, China, was used to validate the effectiveness of the proposed method. A multi-criteria decision analysis approach was used to evaluate the proposed method. The evaluation results showed that the design scheme generated by the angle-based partition method performed the best. This design scheme demonstrated a more balanced distribution of turbines per feeder, with virtually no increase in subsea cable length compared to traditional methods such as Improved Prim and Angle-based K-means Clustering.
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An angle-based partition design method for offshore wind farm collector systems | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 11 January 2025 V1 Latest version Share on An angle-based partition design method for offshore wind farm collector systems Authors : Xingru Ye 0009-0009-6817-7674 , Ronghua Zhu [email protected] , Chenghong Gu , Haining Xing , Yiwei Hu , and Cailiang Zhang Authors Info & Affiliations https://doi.org/10.22541/au.173661844.49560224/v1 246 views 180 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This study proposes a novel angle-based partition design method to optimize the collector system of offshore wind farms. It highlights the importance of improving the reliability of the collector system while reducing overall costs. By integrating the minimum spanning tree algorithm with angle-based partition theory, this method minimizes subsea cable lengths and reduces failure risks under constraints such as the number of feeders, subsea cable current capacity, balanced feeder power, and avoidance of cable crossings, thereby enhancing system efficiency and reliability. A case study on a recent 1-GW offshore wind farm in Guangdong, China, was used to validate the effectiveness of the proposed method. A multi-criteria decision analysis approach was used to evaluate the proposed method. The evaluation results showed that the design scheme generated by the angle-based partition method performed the best. This design scheme demonstrated a more balanced distribution of turbines per feeder, with virtually no increase in subsea cable length compared to traditional methods such as Improved Prim and Angle-based K-means Clustering. Supplementary Material File (paper4__wind_energy.pdf) Download 1.52 MB Information & Authors Information Version history V1 Version 1 11 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cable failure collector system minimum spanning tree offshore wind promethee Authors Affiliations Xingru Ye 0009-0009-6817-7674 Zhejiang University Ocean College View all articles by this author Ronghua Zhu [email protected] Zhejiang University Ocean College View all articles by this author Chenghong Gu University of Bath View all articles by this author Haining Xing Advanced Energy Science and Technology Guangdong Laboratory View all articles by this author Yiwei Hu University of Bath View all articles by this author Cailiang Zhang Advanced Energy Science and Technology Guangdong Laboratory View all articles by this author Metrics & Citations Metrics Article Usage 246 views 180 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Xingru Ye, Ronghua Zhu, Chenghong Gu, et al. An angle-based partition design method for offshore wind farm collector systems. Authorea . 11 January 2025. DOI: https://doi.org/10.22541/au.173661844.49560224/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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