2025年5月22日 周四
首页 > 过刊浏览>2023年第38卷第4期 >46-56. DOI:10.19781/j.issn.1673-9140.2023.04.005
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配电网拓扑分析与线路参数辨识研究
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作者:
作者单位:

(1.山东理工大学电气与电子工程学院，山东 淄博 255000;2.中国电力科学研究院有限公司，湖北 武汉 430074;3.国网辽宁省电力有限公司电力科学研究院，辽宁 沈阳 110006;4.国网山东省电力公司枣庄供电公司，山东 枣庄 277000;5.国网山东省电力公司淄博供电公司，山东 淄博 255000)

通讯作者:

李 辉(1982—），男，硕士，高级工程师，主要从事智能配电网技术、高电压绝缘与试验技术以及输变电设备故障监测与诊断等研究；E?mail：lihui2@epri.sgcc.com.cn

中图分类号:

TM727

基金项目:

国家重点研发计划(2021YFB2401104)；山东省研究生教育质量提升计划项目(SDYKC19103)


Research on topology analysis and line parameter identification of distribution network
Author:
Affiliation:

(1. College of Electric and Electronic Engineering, Shandong University of Technology, Zibo 255000, China; 2.China Electric Power Research Institute, Wuhan 430074, China; 3. Electric Power Research Institute，State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China; 4.Zaozhuang Power Supply Company,State Grid Shandong Electric Power Company, Zaozhuang 277100, China; 5. Zibo Power Supply Company,State Grid Shandong Electric Power Company, Zibo 255000, China)

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    摘要:

    针对部分配网不能采集所有节点电压相角信息的情况，提出通过分析配电网现有量测设备可获取的功率电压数据，采用数字化的方式映射物理系统实现配电网拓扑结构和线路参数可视化。为实现这一目标，首先，基于多组时间断面下的量测数据，根据潮流方程建立线性回归的拓扑与线路参数辨识模型，采用最小二乘法求解模型中导纳参数。其中，考虑实际数据获取过程中存在不可控因素导致部分数据缺失，利用最小方差填补缺失数据，保证信息完整性；其次建立修正模型，采用改进的牛拉法迭代修正拓扑和线路参数初值，对拓扑结构和线路参数精度进行调整；最后利用IEEE 33节点算例验证该方法可行性。

    Abstract:

    Aiming at the situation that some distribution networks can not collect the voltage phase angle information of all nodes, the visualization of the topology structure and line parameters of the distribution network is realized by mapping the physical system in a digital way through the analysis of the power and voltage data that can be obtained by the existing measurement equipment of the distribution network. To reach this goal, firstly, based on the measured data under multiple groups of time sections, a linear regression topology and line parameter identification model is established according to the power flow equation. The admittance parameters in the model are solved by the least square method. Considering the uncontrollable factors in the actual data acquisition process resulting in the loss of some data, the minimum variance is used to fill the missing data to ensure the integrity of the information. Secondly, a modified model is established, and the initial values of topology and line parameters are iteratively modified by the improved Newton?Raphson method to adjust the accuracy value of the topology structure and line parameters. Finally, the applicability of the approach is demonstrated by IEEE 33 node example.

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戴雪婷,李 辉,何柏娜,等.配电网拓扑分析与线路参数辨识研究[J].电力科学与技术学报,2023,38(4):46-56.
DAI Xueting, LI Hui, HE Baina, et al. Research on topology analysis and line parameter identification of distribution network[J]. Journal of Electric Power Science and Technology,2023,38(4):46-56.

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