标题:Model Predictive Control with Extrapolation Strategy for the Arm Current Commutation Control of Modular Multilevel Converter Operating in Quasi Two-Level Mode
作者:Gao, Xiaonan ;Tian, Wei ;Zhang, Zhenbin
作者机构:[Gao, Xiaonan ;Tian, Wei ;Zhang, Zhenbin ] Technical University of Munich, Department of Electrical and Computer Engineering, Munich, Germany;[Zhang, 更多
会议名称:10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia
会议日期:27 May 2019 through 30 May 2019
来源:ICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia
出版年:2019
页码:160-165
关键词:Arm current commutation; Model predictive control; Modular multilevel converter; Quasi two-level mode
摘要:Modular multilevel converters (MMCs) have become an attractive topology for medium-voltage motor drive applications due to their modular construction and voltage scalability. The main drawback of using MMC to drive motors is the large voltage variation of submodule (SM) capacitors when the motor is running at a low speed with a large load torque condition. Operating in the quasi two-level mode of MMCs is an effective solution for such a problem. The arm current commutation control is the most important part for the operation of MMCs in the quasi two-level mode. This paper proposes a new current commutation method. The general idea is to use the delay control method to realize the arm current commutation. Therefore, the key point is to decide when to delay the operation of a submodule at each step during the commutation process. In this paper, the model predictive control (MPC) method with extrapolation technique has been used to determine whether to delay the SM at the present moment. Therefore, the waveforms of the two arms in the same phase may not be completely complementary throughout the whole commutation period. Due to such non-complementary PWMs, the currents between two arms can be exchanged. © 2019 The Korean Institute of Power Electronics (KIPE).
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071620230&partnerID=40&md5=b7668e9b95b92636d99ffeee20858bbb
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