| 引用本文: | 席瑞翎,季 亮,姜恩宇,等.基于参数自修正的配电网故障定位数字孪生技术研究[J].电力系统保护与控制,2024,52(11):11-20. |
| XI Ruiling,JI Liang,JIANG Enyu,et al.Digital twin of distribution network fault location based on parameter self-correction[J].Power System Protection and Control,2024,52(11):11-20 |
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| 摘要: |
| 配电网参数受天气条件和负载条件等因素影响会发生变化。由于传感装置安装有限、数据延时传输等因素，无法实时获得配电网准确参数，进而给传统故障定位方法的精度带来影响。针对以上问题，通过建立配电网数字孪生模型，基于配电网数字孪生模型的参数自修正技术，提出了一种定位模型随参数变化动态校正的配电网故障定位方法。同时，搭建了基于数字孪生服务器和实时数字仿真系统(real time digital system, RTDS)的数字孪生平台，实现了配电网实时的物理模型和数字孪生模型的同步运行。在算例仿真中，利用该数字孪生平台，验证了基于数字孪生技术的配电网故障定法方法。结果表明，该方法可在各类系统运行条件下实时修正配电网参数，显著提高配电网故障定位的速度和精度。 |
| 关键词: 数字孪生 故障定位 参数辨识 最小二乘法 正则化正交匹配追踪重构算法 |
| DOI：10.19783/j.cnki.pspc.231188 |
| 分类号: |
| 基金项目:国家自然科学基金面上项目资助(52177098)；国网河南省电力公司科技项目资助(5217H0220001) |
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| Digital twin of distribution network fault location based on parameter self-correction |
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XI Ruiling1, JI Liang1, JIANG Enyu1, SONG Naichao2, HONG Qiteng3, LI Botong4, LI Zhenkun1
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1. School of Electrical Engineering, Shanghai University of Electric power, Shanghai 200090, China; 2. State Grid Zhumadian
Power Supply Company, Zhumadian 463000, China; 3. University of Strathclyde, Glasgow G11XQ, United Kingdom;
4. School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
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| Abstract: |
| Distribution network parameters are subject to change because of factors such as weather or load conditions. Then, because of factors such as limited installation of sensing devices and delayed data transmission, it is difficult to obtain accurate parameters of the distribution network, thereby affecting the accuracy of the traditional fault location method. Thus, establishing a digital twin model of the distribution network based on the model’s parameter self-correction technology, this paper puts forward a fault localization method of the distribution network in which the localization model is dynamically corrected with the parameter changes. Meanwhile, this paper builds a platform based on a digital twin server and RTDS, and realizes synchronous communication between a real-time physical model of a distribution network and a digital twin model. In the case of simulation, the distribution network fault location method based on digital twin technology is verified using the proposed digital twin platform. The results of the simulation show that the method can correct distribution network parameters in real time and significantly improve the speed and accuracy of distribution network fault location. |
| Key words: digital twin fault location parameter identification least squares method regularized orthogonal matching pursuit (ROMP) reconstruction algorithm |
