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模糊层次分析与三维GIS集成的升压站选址方法
引用本文:朱庆,陈凯峥,谢潇,曾浩炜,张叶廷,任晓春.模糊层次分析与三维GIS集成的升压站选址方法[J].西南交通大学学报,2019,54(5):980-988.
作者姓名:朱庆  陈凯峥  谢潇  曾浩炜  张叶廷  任晓春
摘    要:为了克服传统风电场升压站选址方法的局限性,基于模糊层次分析选址综合评价方法,在三维GIS中对升压站的选址进行了可行性比对分析. 首先从施工成本、选址地形因子、灾害指标、临近资源及障碍区域五个类别的准则建立风电场升压站选址递阶层次结构;其次集成三维地理信息系统与模糊层次分析法构建一种新的选址评估模型;通过预设几何初选规则获取模型输入参数,最终解算模糊评价矩阵实现升压变电站自动选址. 通过对不同地形的已建成风电场升压变电站选址结果进行比对研究实验表明:以风机分布区域范围内的2 m分辨率的数字高程模型作为实验数据,系统解算时间均在10 min内. 平原最佳选址的站址评分为0.957 8优于已建成站址评分0.941 2;山地最佳选址的站址评分为0.743 5优于已建成站址0.706 8. 该方法有效地提升了选址的时间效率且具备较高的精准性及较好的适用性. 

关 键 词:升压站选址    模糊层次分析    地理信息系统    陆上风电场
收稿时间:2017-12-11

Site Selection Method of Booster Substations by Integrating Fuzzy Analytic Hierarchy Process with 3D Geographic Information System
ZHU Qing,CHEN Kaizheng,XIE Xiao,ZENG Haowei,ZHANG Yeting,REN Xiaochun.Site Selection Method of Booster Substations by Integrating Fuzzy Analytic Hierarchy Process with 3D Geographic Information System[J].Journal of Southwest Jiaotong University,2019,54(5):980-988.
Authors:ZHU Qing  CHEN Kaizheng  XIE Xiao  ZENG Haowei  ZHANG Yeting  REN Xiaochun
Abstract:In order to overcome the limitations of the traditional selection method of booster substations on wind farms and realize an efficient and low-cost site selection of booster substations, feasibility analyses of candidate sites selected for booster substations are conducted in 3D geographic information system (GIS) based on fuzzy analytic hierarchy process. First, a hierarchical structure of the site selection of booster substations is defined from five aspects: construction cost, disaster index, location factor, obstacle area and adjacent resources. Then, a new siting evaluation model is established by integrating the fuzzy analytic hierarchy process with 3D GIS to realize the evaluation. The model input parameter are obtained by presetting the geometric primary selection rules, and finally the fuzzy evaluation matrix is solved to realize the automatic location selection of the boost substation. Comparing the experimental results of site selection of booster substations on wind farms built in different terrains shows that the calculation time is within 10 min using digital elevation model with 2 m resolution in the fan area. The optimal site score of plain is 0.957 8, which is better than that of the actual built site (0.941 2); the optimal site score of mountain is 0.743 5, which is also better than that of the actual built site (0.706 8). The results show that the method has high accuracy and universal applicability. 
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