Faulty Feeder Identification Based on Data Analysis and Similarity Comparison for Flexible Grounding System in Electric Distribution Networks
| Autor: | Jianfeng Zhao, Baorun Li, Kangli Liu, Chi Zhang, Hao Jin, Sen Zhang, Biyang Liu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
wavelet packet transform
Computer science 020209 energy data analysis faulty feeder identification 02 engineering and technology lcsh:Chemical technology Fault (power engineering) Biochemistry Article Analytical Chemistry Control theory electric distribution networks 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Current sensor Electrical and Electronic Engineering Instrumentation 020208 electrical & electronic engineering flexible grounding system High voltage Earthing system similarity comparison Atomic and Molecular Physics and Optics Identification (information) grey T-type correlation degree Transient (oscillation) Voltage |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 21 Issue 1 Sensors, Vol 21, Iss 154, p 154 (2021) |
| ISSN: | 1424-8220 |
| Popis: | Reliability and safety are the most important indicators in the electric system. When a ground fault occurs, the electrical equipment and personnel will be greatly threatened. Due to the zero-sequence voltage/current sensor networks applied in the system, the fault identification and diagnosis technology are developing rapidly, including the application of ground fault suppression. A flexible grounding system (FGS) is a new technology applied to arc extinguishing in medium and high voltage electric distribution networks. Its characteristic is that when the single-phase ground fault occurs, the power-electronic-based device is put into the electric system to compensate and suppress the ground point current to be close to zero in a very short time. In order to implement the above process, the corresponding faulty feeder identification method needs to meet the requirements of rapidity and accuracy. In this article, based on the real-time sampled data from the zero-sequence current/voltage sensors, an improved faulty feeder identification method combining wavelet packet transform (WPT) and grey T-type correlation degree is proposed, which features both accuracy and rapidity. The former is used to reconstruct the transient characteristic signal, and the latter is responsible for calculating and comparing the similarity of relative variation trend. Simulation results verify the rationality and effectiveness of the proposed method and analysis. |
| Databáze: | OpenAIRE |
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