引用本文:徐艳春,杨昊,程杉.基于超稀疏矩阵变换器的直驱风力发电系统控制研究[J].电力系统保护与控制,2019,47(1):59-66.
XU Yanchun,YANG Hao,CHENG Shan.Research of control strategy for direct-driven wind-power generation system based on ultra-sparse matrix converter[J].Power System Protection and Control,2019,47(1):59-66
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基于超稀疏矩阵变换器的直驱风力发电系统控制研究
徐艳春,杨 昊,程 杉
(三峡大学电气与新能源学院,湖北 宜昌 443002)
摘要:
超稀疏矩阵变换器(Ultra-Sparse Matrix Converter, USMC)相较于双级矩阵变换器(Two-Stage Matrix Converter, TSMC)来说具有开关数量少、控制简单等优点,近年来引起广泛关注。常见的TSMC直驱风力发电系统中,其开关数量多且控制复杂,而采用USMC取代TSMC,则控制更加简单,且能量单向流通满足直驱风力发电系统的要求。针对这种情况,分析推导了USMC整流侧和逆变侧的SVPWM控制策略,给出其开关调制序列,并建立了USMC直驱风力发电系统各个部分的数学模型。最后利用Matlab/Simulink软件搭建了系统整体仿真模型。仿真结果验证了控制策略和模型的可行性,为USMC直驱风力发电系统的实现奠定了理论基础。
关键词:  超稀疏矩阵式变换器  直驱风力发电  SVPWM  Matlab/Simulink
DOI:10.7667/PSPC171530
分类号:
基金项目:国家自然科学基金项目资助(5160070515)
Research of control strategy for direct-driven wind-power generation system based on ultra-sparse matrix converter
XU Yanchun,YANG Hao,CHENG Shan
(College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China)
Abstract:
The Ultra-Sparse Matrix Converter (USMC) has the advantages of fewer switches and simple control compared with the Two-Stage Matrix Converter (TSMC), which has drawn increasing amounts of attention in recent years. For the traditional TSMC direct-driven wind-power generation system, the number of switches is larger and the control is more complex. However, the replacement of TSMC with USMC would make it easier to control and enables the energy flow to meet the requirements of direct-driven wind-power generation systems. In this paper, the SVPWM control strategy for USMC is analyzed and deduced, and the switch modulation sequence and the mathematical model of each part of USMC direct drive wind power generation system are given. Finally, the model of USMC direct-driven wind-power generation is built by Matlab/Simulink software. The simulation results verify the feasibility of the control strategy and model, which lays a theoretical foundation for the realization of the USMC direct-driven wind-power generation system. This work is supported by National Natural Science Foundation of China (No. 5160070515).
Key words:  ultra-sparse matrix converter  direct-driven wind-power generation  SVPWM  Matlab/Simulink
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