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基于优化蚁群算法的输电线路径规划研究
引用本文:苗作华,,王梦婷,汤阳,王彪,王成功.基于优化蚁群算法的输电线路径规划研究[J].陕西电力,2022,0(11):84-89,96.
作者姓名:苗作华    王梦婷  汤阳  王彪  王成功
作者单位:(1.武汉科技大学资源与环境工程学院,湖北武汉 430081;2.冶金矿产资源高效利用与造块湖北省重点实验室,湖北武汉 430081;3.中钢集团武汉安全环保研究院有限公司,湖北武汉 430081;4.北京道亨软件股份有限公司,北京 100012)
摘    要:输电线路径规划中缩短路径长度、规避障碍物以及改善线路迂回情况是优化输电线路径规划方案的难点。首先综合考虑地理信息因素,使用ArcGIS平台采集和处理影响输电线路径规划的地理信息数据;其次,利用模糊层次分析法(FAHP)聚合多因素地理图层,形成输电线路径规划的综合图层;最后建立基于融合导向与综合成本型的蚁群算法的输电线自动规划路径模型。算法实例表明,使用自动规划路径模型计算的路径长度更合理,能有效规避障碍物且无线路迂回情况,验证了该模型的有效性和可行性。

关 键 词:地理信息因素  输电线路径规划  导向型机制  升维型机制  避让型机制

Transmission Line Path Planning Based on Optimal Ant Colony Algorithm
MIAO Zuohua,,WANG Mengting,TANG Yang,WANG Biao,WANG Chenggong.Transmission Line Path Planning Based on Optimal Ant Colony Algorithm[J].Shanxi Electric Power,2022,0(11):84-89,96.
Authors:MIAO Zuohua    WANG Mengting  TANG Yang  WANG Biao  WANG Chenggong
Affiliation:(1. School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; 2. Hubei Provincial Key Laboratory of Metallurgical and Mineral Resources Efficient Utilization and Block Building, Wuhan 430081, China; 3. Sinosteel Wuhan Safety & Environmental Protection Research Institute Co., Ltd., Wuhan 430081, China; 4. Beijing Daoheng Software Co.,Ltd.,Beijing 100012, China)
Abstract:In the transmission line path planning, shortening the path length, avoiding obstacles and improving the circuit detour are the difficulties in optimizing the transmission line path planning scheme. Firstly, geographic information factors are considered comprehensively,and ArcGIS platform is used to collect and process geographic information data that affects transmission line route planning;Secondly,Fuzzy Analytic Hierarchy Process (FAHP) is used to aggregate multi-factor geographic layers to form a comprehensive layer for transmission line route planning; Finally,an automatic planning path model for transmission lines based on the fusion-oriented and comprehensive cost-based ant colony algorithm is established. The algorithm example shows that the path length calculated by the automatic planning path model is more reasonable. The proposed algorithm can effectively avoid obstacles and has no detours. The validity and feasibility of the model are verified.
Keywords:geographic information factor  transmission line path planning  oriented mechanism  ascension-type mechanism  avoidance mechanism
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