GIS技术辅助下配电网抢修驻点选址方法研究  

Emergency Repair Station Allocation for Power Grid with GIS Techniques

作　　者：邹时容 刘超 林培康 卢宾宾[2] ZOU Shirong;LIU Chao;LIN Peikang;LU Binbin(Guangzhou Power Supply Co.Ltd.,Guangzhou 510620,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)

机构地区：[1]广州供电局有限公司,广东广州510620 [2]武汉大学遥感信息工程学院,湖北武汉430079

出　　处：《测绘地理信息》2024年第6期101-106,共6页Journal of Geomatics

基　　金：国家自然科学基金(42071368)

摘　　要：电力设施安全对城市正常运行至关重要,而相对陈旧的配电网抢修驻点配置与城市快速发展形成了典型的冲突。如何更好地配置配电网故障抢修站点资源,逐渐成为了当前电力行业重要的工作内容。本文综合利用路网数据、土地利用数据、电网故障历史数据等多源时空数据,基于空间分析与粒子群算法提出了电网抢修驻点选址方法流程,并以广州市白云区和海珠区为例,在兼顾成本和效率的基础上实现了99%以上的研究区域高效覆盖。总之,本文提供了一种切实可行的配电网抢修资源优化配置技术方案,且能够形成有效的模型算法工作流,以进行更好地推广与使用。How to better allocate the resources of distribution network fault repair sites has gradually become an important part of the work of the power industry.This paper puts for⁃ward a process of power grid emergency repair sites selection method based on spatial analysis and particle swarm algo⁃rithms,land utility data,historical data of power grid failure and Baiyun District and Haizhu District of Guangzhou are used as examples to demonstrate the efficient coverage of more than 99 per cent of the study area on the basis of taking into account cost and efficiency.Overall,this study provides a practical technical scheme for optimal allocation of distribu⁃tion network emergency repair resources,and can form an ef⁃fective spatial analysis model workflow for better promotion and use.

关 键 词：配电网 故障抢修 驻点选址 多因子评价模型 粒子群算法 

分 类 号：TM73[电气工程—电力系统及自动化] P208[天文地球—地图制图学与地理信息工程]