WANG ZHIHONG, LI WEI, YIN XU, et al. Study on Inter-turn Short Circuit Fault Monitoring of Dry-type Air-core Reactor Based on Phase Difference Change. [J]. Power capacitor & reactive power compensation, 2024, 45(4): 71-78.
WANG ZHIHONG, LI WEI, YIN XU, et al. Study on Inter-turn Short Circuit Fault Monitoring of Dry-type Air-core Reactor Based on Phase Difference Change. [J]. Power capacitor & reactive power compensation, 2024, 45(4): 71-78. DOI: 10.14044/j.1674-1757.pcrpc.2024.04.010.
Dry-type air-core reactor is one of the important equipment in power system
and its failure mode is mainly inter-turn short circuit. It is therefore of great significance to issue effective warning in the early stage of inter-turn short circuit fault. In case of healthy operation of the dry-type air core reactor
the phase difference of voltage and current is a fixed value
and the phase difference changes after inter-turn short circuit. Based on this
a kind of online monitoring method for inter-turn short circuit with phase difference change characteristics is proposed. The field-circuit coupling model of inter-turn short circuit is set up
and the change threshold of phase difference of inter-turn short circuit is set in accordance with the simulation results; SOGI-PLL combined with apFFT algorithm is used to monitor the change characteristics of phase difference in real time. Then
the on-line monitoring system for inter-turn short circuit is set up and its performance is tested. The result shows that the on-line monitoring system can not only find out inter-turn short circuit sensitively
but also measure the phase difference accurately
which meets the requirements of both sensitivity and reliability. The feasibility of inter-turn short circuit monitoring method based on the phase difference change of voltage and current is verified by the research work and a reference for its implementation method is provided.
关键词
干式空心电抗器匝间短路相位差在线监测SOGI-PLL结合apFFT算法
Keywords
dry-type air-core reactorinter-turn short circuit faultphase differenceonline monitoringSOGI-PLL combined with apFFT algorithm