Genetic Algorithm Approach of HB-RPC for Adaptive Power Quality Improvement in Railway Traction Chain

摘要

The electrical railway world knows for a number of years a marked interest characterized by a significant deployment of high-speed lines. This system is known for power quality problems especially the grid side negative sequence (NSC), harmonics, and reactive power. The purpose study was constructed to solve issue of power quality in electrified railway. Among the clearing and control systems belonging to the FACTS family a half-bridge-converter-based railway static power conditioner (HB-RPC) which have four power switches connected by two condensers in series. The objective of this paper is to validate the work of the HB-RPC and Ynev transformers which are employed together to reduce the reactive power, harmonics and NSC problems. To optimize the control strategy, the GA (Genetic Algorithm) is suggested. The simulation results using MATLAB/SIMULINK approve the presentation of the propose system and their control.