An Intelligent Optimal Location Method for Booster Transformer of Offshore Wind Power System Based on GIS Geometric Algorithm

Xiaojiang Guo, Xiao-song Pan, C. Sun, Dunwen Song, Kaixin Liu, Xiangtao Xiao, Xuetao Yang, Hegege Guan
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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.
基于GIS几何算法的海上风电升压变压器智能优化定位方法
海上风电是可再生能源领域最具发展潜力的发电方式之一。目前基于人工经验的升压站定位方法不能准确考虑各种约束条件,难以实现海缆距离的优化。为了填补海上变电站科学定位的不足,提出了一种基于GIS几何算法和网格分割的海上风电升压站优化定位方法。基于上部风机在GIS中的经纬度坐标,通过几何测量和交集计算,智能获得升压站位置的公共可行区域。对公共可行选址区域进行网格分割,以电缆连接长度最短为优化目标,筛选风电升压站的最优选址。基于GIS的海上风电升压站优化定位技术为海上风电升压站科学、快速的优化定位和网络调整奠定了基础。
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