基于完备经验模态分解与能量熵的混合储能系统功率分配

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Abstract Based on the hybrid energy storage system composed of super capacitor and storage battery, the complete ensemble empirical mode decomposition with adaptive noise is used to smooth the wind power fluctuation in this paper. Firstly, according to the fluctuation of wind power, different natural mode components and allowances are obtained by the complete ensemble empirical mode decomposition. The power cut-off point k is calculated by the theory of energy entropy, and then the initial power allocation instruction is determined. Therefore, the state of charge has been constrained and optimized by the theory of fuzzy control, and the power allocation instruction of hybrid energy storage system is adjusted and modified adaptively. From the numerical example, the proposed method can adaptively realize the reasonable power distribution, and the hybrid energy storage system works in a reasonable range of charged states, which can effectively improve the system efficiency and service life.

Key words： complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) energy entropy fuzzy control state of charge (SOC)

Received: 18 April 2020

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	Articles by authors
	Zheng Xidong
	Jiang Xiubo

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Zheng Xidong,Jiang Xiubo. Power allocation of hybrid energy storage system based on complete ensemble empirical mode decomposition and energy entropy[J]. Electrical Engineering, 2020, 21(11): 61-65.

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http://dqjs.cesmedia.cn/EN/Y2020/V21/I11/61

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