Open AccessImproved Fault Location Algorithm for Radial Distribution Network Based on Power Failure Information
Author(s) -
Yi Han,
Zhongmin Qian,
Danlu Shao,
Qiujia Lin,
Zhexuan Tang,
Minyu Chen,
Qian Ai
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012049
Subject(s) - fault (geology) , incidence matrix , node (physics) , algorithm , computer science , matrix (chemical analysis) , fault indicator , fault model , power (physics) , fault detection and isolation , engineering , artificial intelligence , electronic circuit , materials science , physics , electrical engineering , structural engineering , quantum mechanics , seismology , actuator , composite material , geology
As the scale of the distribution network continues to increase, the importance of distribution network is getting higher and higher. Therefore, it is necessary to achieve fault location and restore it as soon as possible after the fault occurs. This paper proposes a new fault location algorithm for the radial distribution network, which is improved on the basis of traditional matrix algorithm. First, the power failure incidence matrix (PFIM) and power interruption information matrix (PIIM) is constructed based on the topological connection and fault information at each node. The fault location matrix (FLM) is then obtained through PFLM and PIIM to realize the fault location. Second, the accuracy of the proposed algorithm is verified by mathematical derivation. Finally, an 11-node radial distribution network is illustrated to testify the proposed algorithm. Results show that the improved fault location matrix algorithm proposed in this paper can effectively achieve fault location in radial distribution network.