Hybrid SVPWM Strategy of Cascade H-Bridge Multilevel Converter for Battery Energy Storage System

被引:3
作者
Fan, Xu [1 ]
Zhao, Rende [1 ]
He, Jinkui [1 ]
Fan, Haoyu [1 ]
Xie, Yifan [1 ]
Zhang, Tianyu [1 ]
机构
[1] China Univ Petr East China, Coll New Energy, Qingdao 266580, Peoples R China
基金
中国国家自然科学基金;
关键词
Voltage; High frequency; Frequency modulation; Space vector pulse width modulation; Frequency conversion; Batteries; Multilevel converters; Battery energy storage system (BESS); cascaded H-bridge (CHB); hybrid modulation; space vector pulsewidth modulation (SVPWM); MODULATION STRATEGIES; INVERTER; DRIVE; PLL;
D O I
10.1109/TPEL.2023.3302705
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A cascade H-bridge (CHB) stands out for its modular structure and high output voltage among various power converter schemes for battery energy storage systems. While space vector pulsewidth modulation (SVPWM) offers better utilization of the dc-link voltage, it is seldom employed in CHB designs due to the substantial computational burden associated with an increasing number of voltage levels in the converter. This article introduces a novel hybrid SVPWM approach in a multilevel CHB for battery energy storage systems. In this proposed system, the reference vector is decomposed into a low-frequency vector and a high-frequency vector. The low-frequency vector is generated by the low-frequency modules operating at the line frequency, while the high-frequency vector is produced by the high-frequency module working in the pulsewidth modulation mode. It compensates for the disparity between the low-frequency vector and the reference vector. To determine the low-frequency vector, an algorithm based on coordinate transformation is introduced. This significantly reduces the computational complexity, making it independent of the output voltage levels. The switching losses decrease as most power devices operate at the fundamental frequency. An experimental platform of the CHB is constructed to validate the advantages of the proposed modulation algorithm.
引用
收藏
页码:626 / 635
页数:10
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