Single-phase ground fault section location in distribution networks with limited information based on edge computing and deep learning

被引：0
|
作者：
Zhang D. [1 ]
Li X. [2 ]
Tao W. [1 ]
机构：
[1] Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology, Hefei
[2] Jining Power Supply Company, State Grid Shandong Electric Power Co., Ltd., Jining
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2023年 / 51卷 / 24期
关键词：
deep learning; distributed generation; distribution network with limited measurement; edge computing; fault section location; single-phase ground fault;
D O I：
10.19783/j.cnki.pspc.230483
中图分类号：
学科分类号：
摘要：
At present, there are few studies on fault location in a distribution network with limited measurement conditions. In addition, the traditional centralized fault location system of a master station has shortcomings in real-time and security. Thus, a single-phase ground fault section location method based on edge computing and deep learning is proposed. First, a multi-objective optimization model of edge computing unit configuration based on partition correction is constructed. The model reduces the communication delay of a fault location system and improves the security of data transmission by the partition correction method, thus ensuring the safe operation of the network. Second, a data-driven intelligent algorithm is applied to the fault section location. The variation of the steady-state effective value of the phase current before and after the fault is selected as the fault feature. A fully connected deep neural network is used to learn the mapping relationship between sample features and labels, and an offline trained location model is obtained and stored at the edge nodes to achieve fast fault location. Finally, the IEEE 33-bus system is taken as an example for simulation. The example shows that the model performs well with distributed generation access, high resistance fault, noise interference and topology change. © 2023 Power System Protection and Control Press. All rights reserved.
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页码：22 / 32
页数：10
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