{"title":"An Intelligent Optimal Location Method for Booster Transformer of Offshore Wind Power System Based on GIS Geometric Algorithm","authors":"Xiaojiang Guo, Xiao-song Pan, C. Sun, Dunwen Song, Kaixin Liu, Xiangtao Xiao, Xuetao Yang, Hegege Guan","doi":"10.1109/ICPES56491.2022.10073146","DOIUrl":null,"url":null,"abstract":"Offshore wind power is one of the most potential power generation methods in the field of renewable energy. The current method of booster station location based on manual experience cannot accurately consider various constraints, and it is difficult to achieve the optimization of submarine cable distance. In order to fill in the shortage of scientific location of offshore substations, an optimal location method of offshore wind power booster stations based on GIS geometric algorithm and grid segmentation is proposed. Based on the longitude and latitude coordinates of the upper fan in GIS, the public feasible area for the location of the booster station is intelligently obtained through geometric measurement and intersection calculation. Grid segmentation is conducted for the public feasible site selection area, and the shortest cable connection length is taken as the optimization objective to screen the optimal site of the wind power booster station. The GIS based optimization location technology of offshore wind power booster stations has laid a foundation for scientific and rapid optimization location and network adjustment of offshore wind power booster stations.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Power and Energy Systems (ICPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPES56491.2022.10073146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Offshore wind power is one of the most potential power generation methods in the field of renewable energy. The current method of booster station location based on manual experience cannot accurately consider various constraints, and it is difficult to achieve the optimization of submarine cable distance. In order to fill in the shortage of scientific location of offshore substations, an optimal location method of offshore wind power booster stations based on GIS geometric algorithm and grid segmentation is proposed. Based on the longitude and latitude coordinates of the upper fan in GIS, the public feasible area for the location of the booster station is intelligently obtained through geometric measurement and intersection calculation. Grid segmentation is conducted for the public feasible site selection area, and the shortest cable connection length is taken as the optimization objective to screen the optimal site of the wind power booster station. The GIS based optimization location technology of offshore wind power booster stations has laid a foundation for scientific and rapid optimization location and network adjustment of offshore wind power booster stations.