Research on Mine Power System Leakage Fusion Criterion by Improving Genetic Algorithm to Optimize BP Neural Network

摘要

The leakage mechanism of mine power grid is complex, and fault line selection is easy to make mistakes. At present, any line selection method has its defects and errors, it is difficult to accurately select the leakage line. This paper studies the problems of the current mine leakage protection system, and proposes the global optimization of improved genetic algorithm, combines it with BP neural network, and integrates four methods to select fault lines. In this way, the fault steady-state and transient signal can be used to select the line comprehensively, which can overcome the shortcomings of single criterion for the incomplete accuracy and reliability of the leakage line selection under the mine, and improve the reliability of the line selection.