铁路牵引链电能质量自适应改进的HB-RPC遗传算法

Chaib Ras Amira, Ramdane Bouzerara, Bouzeria Hamza, A. Meriem, Mammeri Imen
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引用次数: 1

摘要

多年来,电气化铁路界一直对高速铁路有着浓厚的兴趣,其特点是大量部署高速铁路。该系统存在电能质量问题,特别是电网侧负序(NSC)、谐波和无功功率问题。为解决电气化铁路的电能质量问题,进行了研究。在FACTS系列的清净和控制系统中,有一种基于半桥式变流器的铁路静电调节器(HB-RPC),它有四个电源开关,由两个冷凝器串联连接。本文的目的是验证HB-RPC和Ynev变压器一起使用在减少无功功率、谐波和NSC问题上的工作效果。为了优化控制策略,提出了遗传算法。利用MATLAB/SIMULINK进行了仿真,验证了系统的设计和控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Algorithm Approach of HB-RPC for Adaptive Power Quality Improvement in Railway Traction Chain
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.
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