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基于多叉树算法的智能配电台区拓扑识别技术

Topology Recognition Technology Applying in the Intelligent Distribution Station Area Based on the Multi Branch Tree Algorithm

  • 摘要: 智能型设备大量接入,导致配电网结构复杂、拓扑多变,为满足智能配电台区的数据收集和分析的需求,提出一种基于多叉树算法的智能断路器拓扑识别技术。通过控制台区内断路器启动特征识别功能,应用多叉树算法对特征识别结果进行分析,实现智能配电台区断路器拓扑自动识别功能,并将拓扑识别结果上送至配电云主站,解决了低压配电网拓扑关系更新不及时和云主站无法可视化展示台区信息的问题。

     

    Abstract: With the large-scale integration of intelligent devices, the structure of the distribution network is complex and the topology is constantly changing. In order to meet the increasing demand for data collection and analysis in the intelligent distribution station area. This article proposes an intelligent circuit breaker topology recognition technology based on the multi branch tree algorithm. By activating the adaptive recognition function of circuit breakers in the control panel area, the multi branch tree algorithm is applied to analyze the feature recognition results, realizing the self recognition function of circuit breaker topology in the intelligent distribution station area. The topology recognition results are uploaded to the distribution cloud master station, solving the contradiction between untimely topology updates in low-voltage distribution networks and the inability of the cloud master station to display visualized station area information.

     

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