Open AccessResearch on PD source successive approximation positioning method based on multi sample information
Author(s) -
Qunzhi Zhu,
Wenbing Zhu,
Zhouzheng Gao,
Min Zhu
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 - 10.1088/1742-6596/1983/1/012048
Subject(s) - particle swarm optimization , position (finance) , ultra high frequency , dispersion (optics) , algorithm , sample (material) , computer science , approximation error , partial discharge , function (biology) , fault (geology) , mathematical optimization , mathematics , physics , engineering , electrical engineering , optics , voltage , telecommunications , finance , evolutionary biology , seismology , biology , geology , economics , thermodynamics
Ultra High Frequency (UHF) detection technology is widely used in Partial Discharge (PD) detection and positioning of electrical equipment. However, how to achieve accurate and reliable fault localization based on UHF PD is an urgent problem to be solved. In this paper, the multi-samples of PD are calculated by the successive approximation method and the optimization function is established by using the linear spatial relationship between the initial value and the sensors. The particle swarm optimization (PSO) is exploited to search for the minimum value of function, and the optimal result is obtained by cyclic calculation. The optimal PD source position determined by this way has higher accuracy, solving the problem of strong dispersion and large error in PD location by a single sample. The positioning error is reduced from tens of centimetres of the single sample to few centimetres, which is fewer than the results calculated by the average method. In addition, it is found that the positioning precision becomes higher as the number of samples selected for optimize calculation (i.e. m ) decreases.