高压电器2025，Vol.61Issue(9)：35-42,49,9.DOI:10.13296/j.1001-1609.hva.2025.09.005
基于CNN-LSTM的断路器合成试验短路电流零点预测技术
Short Circuit Current Zero Point Prediction Technology for Synthetic Test of Circuit Breaker Based on CNN-LSTM
摘要
Abstract
Synthetic test is an important test method for verifying the short-circuit breaking capacity of high power circuit breakers.As for the requirement to short-circuit current prediction accuracy in the synthetic test in this pa-per,the synchronous control principle of Weir synthetic circuit is firstly analyzed,and the problem of zero-crossing prediction is equivalently regarded as a time sequence prediction problem.Hereby,it is proposed to set up a CNN-LSTM prediction model to fit the short-circuit current sequence and predict the current zero-crossing point.Then,a prediction model is set up based on the short-circuit current situation in a certain test,and the prediction effect of the CNN-LSTM hybrid network and that of the single LSTM network is compared.On this basis,the CNN-LSTM predic-tion model is applied to T100s and T100a tests under different short-circuit currents.The experiment results show that the prediction error of the model for the zero-crossing time is less than or equal to 4 μs and has good generaliza-tion ability.The research results have practical significance for the accurate realization of the synchronous control of synthetic test.关键词
断路器/合成试验/CNN-LSTM/电流零点/时序预测Key words
circuit breaker/synthetic test/CNN-LSTM/current zero/time sequence prediction引用本文复制引用
王智,毛雪飞,冯英,李哲远,李玉春..基于CNN-LSTM的断路器合成试验短路电流零点预测技术[J].高压电器,2025,61(9):35-42,49,9.基金项目
国家电网有限公司科技项目(提高配电开关设备质量关键技术研究).Project Supported by Science and Technology Project of SGCC(Research on Key Technologies for Enhancing the Quality of Distribution Switchgear Equipment). （提高配电开关设备质量关键技术研究）
