基于滤波分配法的混合储能优化控制策略

doi:10.19595/j.cnki.1000-6753.tces.200072

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Abstract When the urban rail train with the hybrid energy storage system adopts the voltage and current double closed-loop control strategy based on threshold control, the dynamic response speed of the voltage outer loop in the braking stage is too slow, and when the train power demand decreases, there will be energy circulation in the energy storage system.In order to solve the problem of slow dynamic response speed, a variable gain proportional control strategy is proposed, which takes the no-load bus voltage as reference in the voltage outer loop. In the train braking stage, the no-load bus voltage is used as the reference value, and the proportional gain is adjusted according to the offset between the bus voltage and the no-load voltage, so as to restrain the overshoot of the voltage outer loop. In order to suppress the internal energy circulation of the energy storage system, a selective filtering distribution control strategy is proposed. When the train power demand reduced, the lithium-ion battery pack can directly track the input power of the system, thus restraining the internal energy cycle of the energy storage system and improving the energy storage system economy. In this paper, the actual parameters of Guangzhou subway line 4 are used to build the simulation platform and experimental platform of urban rail trains with hybrid energy storage system to verify the effectiveness of the proposed control strategy. The results show that the proposed control strategy can effectively solve the problems of excessive bus voltage overshoot and internal energy circulation in energy storage system.

Key words： Urban rail transit hybrid energy storage super capacitor lithium ion battery control strategy power distribution

Received: 03 January 2020

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TM921

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	Articles by authors
	Chen Yaai
	Lin Yankang
	Wang Sai
	Zhou Jinghua

Cite this article:

Chen Yaai,Lin Yankang,Wang Sai等. Optimal Control Strategy of Hybrid Energy Storage Based on Filter Allocation Method[J]. Transactions of China Electrotechnical Society, 2020, 35(19): 4009-4018.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200072 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I19/4009

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