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基于增量最短路径法的全电缆中压配电网络规划
引用本文:顾丹珍,戴海锋,曾健.基于增量最短路径法的全电缆中压配电网络规划[J].电力自动化设备,2019,39(5).
作者姓名:顾丹珍  戴海锋  曾健
作者单位:上海电力学院电气工程学院,上海,200090;上海电力学院电气工程学院,上海,200090;上海电力学院电气工程学院,上海,200090
基金项目:上海市地方能力建设基金资助项目(16020500900)
摘    要:电缆化供电是城市中压配电网供电的发展趋势。提出一种实用的基于增量最短路径法的全电缆中压配电网络主干网架规划方法,考虑了电缆通道约束以及城市规划约束,将全网整体优化分解为电源供电分区的电缆线路规划和分区间线路联络规划两部分,利用增量最短路径法规划电源供电分区的电缆供电线路,应用最佳匹配算法完成分区间线路联络。通过一实际算例验证了所提方法可应用于全电缆中压配电网的网络新建规划和扩展规划。

关 键 词:全电缆中压配电网  增量最短路径法  最佳匹配算法  电缆通道约束  城市规划  网络规划

Full-cable medium voltage distribution network planning based on incremental shortest path method
GU Danzhen,DAI Haifeng and ZENG Jian.Full-cable medium voltage distribution network planning based on incremental shortest path method[J].Electric Power Automation Equipment,2019,39(5).
Authors:GU Danzhen  DAI Haifeng and ZENG Jian
Affiliation:Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China,Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China and Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Abstract:Cabling reconstruction has become the development trend for urban medium voltage distribution network power supply. A practical planning method for the backbone network of full-cable medium voltage distribution network is proposed based on the incremental shortest path method considering the cable channel constraints and urban planning constraints. The overall optimization of the whole network is divided into two parts: the cable line planning of power supply zones and the line connection planning among power supply zones, and the two parts are completed by the incremental shortest path method and the best matching algorithm respectively. An actual example shows that the proposed method can be applied to the network construction and expansion planning of the full-cable medium voltage distribution network.
Keywords:full-cable medium voltage distribution network  incremental shortest path method  cable channel cons-traints  urban planning  network planning
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