Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6860696 | International Journal of Electrical Power & Energy Systems | 2013 | 8 Pages |
Abstract
This paper presents a novel stator single-phase-to-ground fault protection of Powerformer in parallel based on the fuzzy clustering algorithms. First, the direction and magnitude of zero-sequence current and leakage current are analyzed, and four fault characters are selected as historical data. Then the historical data are divided into two groups by fuzzy clustering algorithms, and cluster center of each group is calculated. The space relative distance among detected pattern and two cluster centers is finally calculated to discriminate the faulty Powerformer. Simulation results have shown that, under different fault conditions, the new scheme can distinguish reliably internal faults from external faults, and can detect stator single-phase-to-ground fault occurred in which Powerformer with resistance 5 kΩ. A 100% of the winding can be fully protected.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yuanyuan Wang, Xiangjun Zeng, Zhaoyang Dong, Yue Huang,