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基于电量守恒的低压配电台区拓扑识别算法

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低压配电台区的拓扑结构对线损分析、故障定位及系统运行水平提升等都具有重要作用,针对当前低压台区拓扑信息不准确的问题,文章对基于电量守恒的拓扑识别算法展开研究.对于配电侧,基于遍历运算待识别节点电量相关性算法确定分支开关的拓扑结构;对于用户侧,基于凸优化算法计算表箱与用户电表的连接关系,并通过对电压数据进行聚类纠正异常判断结果.最后采集现场实际数据,对包含1个台区总表、12个分支电表、9个表箱及108个用户电表的低压台区进行算例分析,结果验证文章方法的有效性和可靠性.
Topology Identification Algorithm of Low-voltage Distribution Transformer Area Based on Conservation of Electricity
The topology structure of low-voltage distribution transformer area plays an important role in line loss analysis,fault location,and system operation level. Aiming at the current problem of inaccurate topology information in low-voltage distribution transformer area,a topology identification algorithm based on conservation of electricity is studied. Firstly,for the distribution side,the topology structure of branch switch is determined based on the ergodic operation of the identified node's electrical quantity correlation algorithm;Secondly,for the user side,the connection between the meter box and the user meter is calculated based on the convex optimization algorithm,and the abnormal judgment results are corrected by clustering the voltage data. Finally,the actual data collected from the site are used to analyze the low-voltage distribution transformer area,which includes 1 master meter,12 branch meters,9 meter boxes and 108 user meters. The results verify the effectiveness and reliability of the proposed algorithm.

low voltage distribution networktopology identificationconservation of electricityconvex optimization algorithmclustering

陈金雷、代洪光、冀笑伟、胡亚静、徐鲲鹏、张谦

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北京智芯微电子科技有限公司,北京市昌平区 100084

低压配电网 拓扑识别 电量守恒 凸优化算法 聚类

国家电网有限公司总部科技项目

5700-202341281A-1-1-ZN

2024

电力信息与通信技术
中国电力科学研究院

电力信息与通信技术

CSTPCD
影响因子:0.699
ISSN:1672-4844
年,卷(期):2024.22(7)