关键词: 电子式电流互感器, Rogowski线圈, LPCT线圈, BP神经网络算法

Abstract: The electronic current transformer is very different from the traditional electromagnetic current transformer in terms of working principle and structure.In this paper,the temperature characteristic of the active electronic current transformer is affected by the full temperature cycle test.The analysis shows that the environment temperature has a great influence on the Rogowski coil electronic current transformer,while the influence on the LPCT coil electronic current transformer is negligible.According to the characteristics of each component of Rogowski coil electronic current transformer system,the temperature and other disturbance factors affecting the performance of 12 kV Rogowski coil electronic current transformer were analyzed in detail,and the transformer was compensated by BP neural network algorithm.The results show that the compensated transformer meets the 0.5 level measurement accuracy requirement,the ratio difference is less than ±0.5% and the angular difference is less than ±10' in the temperature range of -40~70 ℃.The experimental results verify the effectiveness of BP neural network algorithm compensation.

Key words: electronic current transformer, rogowski coil, LPCT coil, BP neural network algorithm