Weizhi Lu
ABSTRACT
With the continuous development and expansion of power system, the security problems related to electricity in distribution network are increasingly prominent. To enhance the precision and efficiency of fault detection within a distribution network, this study introduces a methodology for constructing power-related safety fault sections in the distribution network. The proposed approach integrates the Internet of Things (IoT) and an image recognition algorithm. Furthermore, an online section location system for identifying single-phase grounding faults in resonant grounding systems is developed by leveraging IoT technology. The system primarily comprises zero-sequence voltage sensing nodes, zero-sequence current sensing nodes, a communication network, and a monitoring center server. This paper introduces a novel method for locating electrical safety faults in distribution networks based on image recognition. The transient process's generator physical quantities are computed through short-term numerical integration. Subsequently, the data for each generator's physical quantities are transformed into fixed-size images, serving as inputs for a Convolutional Neural Network (CNN). Experimental results demonstrate that this method achieves superior accuracy and efficiency in fault detection, thereby offering crucial support for the secure operation of distribution networks. The results of this study have the most practical value and application prospect, which provides sufficient technical support for strengthening the maintenance and management of power system.
- Marcelo A. Ravaglio, Kristie Kaminski Küster, Signie L. F. Santos, Luiz Felipe Ribeiro Barrozo Toledo, Alexandre Piantini, André E. Lazzaretti, Luciana Gonçalves De Mello, and Cleverson Luiz Da Silva Pinto. 2019. Evaluation of lightning-related faults that lead to distribution network outages: An experimental case study. Electric Power Systems Research 174, 19. DOI: https://doi.org/10.1016/j.epsr.2019.04.026.Google Scholar
Cross Ref
- Massimiliano Coppo, Fabio Bignucolo, Roberto Turri, Huw Griffiths, Noureddine Harid, and A. Haddad. 2019. Analysis of frequency distribution of ground fault-current magnitude in transmission networks for electrical safety evaluation. Electric Power Systems Research 173, 100–111. DOI: https://doi.org/10.1016/j.epsr.2019.03.024.Google ScholarCross Ref
- Ranjeet Kumar and D. Saxena. 2019. Fault location in distribution network using travelling waves. International Journal of Energy Sector Management 13, 3 (September 2019), 651–669. DOI: https://doi.org/10.1108/ijesm-07-2018-0007.Google ScholarCross Ref
- Shaoyun Ge, Hao Sun, Hong Liu, Qiang Zhang, and Jifeng Li. 2019. Power supply capability evaluation of active distribution network considering reliability and post-fault load response. Autom. Electr. Power Syst 43, 6 (2019), 77-84.Google Scholar
- X. Tong and S. Zhang. 2019. Grey relational degree-based fault section location and type recognition method for distribution network. Dianli Xitong Zidonghua/Automation of Electric Power Systems 43, 4 (2019), 113-118.Google Scholar
- Guilherme Braga Da Costa, Juliano S. Damiani, Gustavo Marchesan, Adriano Peres De Morais, Arturo S. Bretãs, and Ghendy Cardoso. 2022. A multi-agent approach to distribution system fault section estimation in smart grid environment. Electric Power Systems Research 6, 204. DOI: https://doi.org/10.1016/j.epsr.2021.107658.Google ScholarCross Ref
- Biao Xu, Xianggen Yin, Zhe Zhang, Shuai Pang, and Xusheng Li. 2019. Fault location for distribution network based on matrix algorithm and optimization algorithm. Automation of Electric Power Systems 43, 05 (2019), 152-158.Google Scholar
- Hongchun Shu, Yifan Li, and Xincui Tian. 2019. Distribution network fault line selection based on correlation analysis of sequential overlapping derivative transform. Autom Electr Power Syst 43, 6 (2019), 137-144.Google Scholar
- Xiaojie Luo, Luliang Zhang, Haiting Shan, and Tianyao Ji. 2022. Traveling wave velocity independent fault location scheme with adaptive mathematical filters for distribution network. Electric Power Systems Research 9, 209.Google Scholar
- Yachao Yang and Chun Huang. 2020. DC fault location in multi-terminal DC distribution network based on voltage similar triangle principle. Electric Power Systems Research 184, 1 (July 2020), 106306. DOI: https://doi.org/10.1016/j.epsr.2020.106306.Google ScholarCross Ref
- Yuhao Guo, Yongduan Xue, Pan Xu, Xiaoyong Yu, and Bingyin Xu. 2019. Characteristic and Feeder Selection of Single-phase Grounding Fault in Distribution Network with the Same Bus Loop. J. Automation of Electric Power Systems 43, 01 (2019), 234-241.Google Scholar
- Guilong Zan, Zhuding Wang, Qiuyan Li, Lili Wang, and Wenyuan Li. 2017. High voltage distribution network reliability evaluation based on state space truncation and isolation scope derivation. Dianli Xitong Zidonghua/Automation of Electric Power Systems 41, 13 (2017), 79-85.Google Scholar
Index Terms
- Construction of Power-related Safety Fault Section of Distribution Network Combining Internet of Things and Image Recognition Algorithm
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