广东电力2026，Vol.39Issue(6)：87-97,11.DOI:10.3969/j.issn.1007-290X.2026.06.008
空间约束下基于GIS路径优化的城市配电网规划
Urban Distribution Network Planning Based on GIS Path Optimization Under Spatial Constraints
摘要
Abstract
Under the context of urban renewal,the construction of distribution networks in high-density urban areas is increasingly constrained by spatial limitations such as road construction,ecological control and the protection of municipal facilities.Traditional distribution network planning methods inadequately account for spatial factors,making them difficult to adapt to complex renovation environments.This paper proposes a geographic information system(GIS)based urban distribution network planning method with spatial constraints.A spatial resistance quantification mechanism is developed to transform spatial constraints into path weights for line route optimization.Meanwhile,a sort-tile-recursive tree spatial index structure is introduced to improve the efficiency of spatial queries.Based on this process,a set of candidate lines is generated and coupled with a mixed-integer linear programming model to accomplish distribution network planning.Taking the distribution network of Beijing road historic and cultural district in Yuexiu district,Guangzhou as a case study,a test network containing 28 nodes and 30 lines is constructed and three progressive spatial constraint scenarios are designed for validation.The results show that the proposed method can optimize grid structure while satisfying multiple types of spatial constraints,maintain economic efficiency and operational security and reduce path calculation time by 65.45％.关键词
城市更新/地理信息系统空间分析/空间约束/配电网规划/混合整数线性规划Key words
urban renewal/geographic information system(GIS)analysis/spatial constraint/distribution network planning/mixed-integer linear programming(MILP)分类
信息技术与安全科学引用本文复制引用
徐强,邱显欣,何芊慧,徐力,刘盾盾,张洪财..空间约束下基于GIS路径优化的城市配电网规划[J].广东电力,2026,39(6):87-97,11.基金项目
广东电网有限责任公司科技项目(030121KC23120006) （030121KC23120006）
广东省科技厅项目(2025A0505010019) （2025A0505010019）
澳门科学技术发展基金项目(001/2024/SKL) （001/2024/SKL）
