基于模块化多电平换流器的电动汽车集群与智能电网集成系统参数优化设计

doi:10.19595/j.cnki.1000-6753.tces.180170

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Abstract Modular multilevel converter (MMC) is a possible solution for integrating an EV fleet into smart grid. However, due to the particularity of the electric vehicle energy storage system, if the main parameters of the power stage of MMC, such as the AC-DC voltage level and the cascaded module number of each arm and alike, are improperly designed, it may result in unreasonable insulation design and arm current beyond limitation, which will affect the security and efficient operation of the system in practice. To address the issue, based on the proposed multi-objective power management strategy for the MMC-based EV fleet integration system (MMC-EVIS), the optimal design criteria for system modulation, maximum arm current and charging/discharging power impact coefficient are established, and the security region for optimize configuration of main parameters is proposed. Taking a medium-sized MMC-EVIS as the scenario, an MMC-EVIS of 480kW is designed. Simulation under Matlab/Simulink is performed to indicate that the optimization of system is reasonable and necessary, which provides a reference for the design and operation analysis of the MMC-EVIS.

Key words： Electric vehicle modular multilevel converter (MMC) parameters optimize design multi-objective power management smart grid

Received: 28 January 2018 Published: 03 September 2018

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TM46

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	Mao Meiqin
	Chen Qiang
	Ding Yong
	Chang Liuchen

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Mao Meiqin,Chen Qiang,Ding Yong等. Parameters Optimization Design for MMC-Based EV Fleet Integrated into Smart Grid[J]. Transactions of China Electrotechnical Society, 2018, 33(16): 3802-3810.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180170 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I16/3802

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