Research on Efficiency of New Self-driven Fault Current Limiter Based on the Improved Genetic Algorithm

Abstract

To study the current limiting characteristics and system efficiency of the new fault short-circuit current limiter, an equivalent geometric model based on the rectangular guide rail, an algorithm analysis model of electromagnetic drive equation and a self-driven process is established. The effect of the geometric size and skin effect of the current limiter on the current limiting characteristics and system efficiency of the current limiter is analyzed. At the same time, the two goals of the initial time of current limiting and system efficiency are considered, and the important parameters of the new fault limiter are optimized by the improved genetic algorithm. The results show that the cross-sectional area of the rectangular guide and the width of the metal slider have a comprehensive effect on the performance. The algorithm model can optimize and analyze the target in a shorter time and a smaller algebra, which provides the theoretical basis and technical support for improving the current limiting characteristics and system efficiency of the new current limiter.