Power Distribution Strategy of Hybrid Energy Storage System Based on GWO Optimization of ICEEMDAN Decomposition

doi:10.11985/2022.04.027

Abstract

Abstract:

Aiming at the problem that wind power fluctuation reduces the consumption level of power grid, a power distribution strategy of hybrid energy storage system is designed, which adopts the GWO(Grey wolf optimizer) to optimize and improve ICEEMDAN(Improved complete ensemble empirical mode decomposition with adaptive noise). Firstly, using the cross-correlation coefficient between the wind power grid-connected power and the original power, and the sample entropy of the intrinsic modal function(IMF) obtained by ICEEMDAN decomposition as the fitness function, GWO is used to calculate the parameter signal-to-noise ratio in the ICEEMDAN algorithm. The sum of μ and the boundary point k of high-frequency and low-frequency power components are optimized. Secondly, the wind power is decomposed by ICEEMDAN, the low-frequency IMF signal is used as the wind power grid-connected power, the high-frequency IMF signal is used as the power of the hybrid energy storage system, and the information entropy of each adjacent high-frequency IMF signal is used as the basis to realize the power of the hybrid energy storage system. According to the state of charge of the super capacitor, the power of the battery and the super capacitor is corrected by fuzzy control to realize the secondary distribution of the power of the hybrid energy storage system. Finally, the above-mentioned wind power fluctuation control strategy is compared with other wind power mitigation strategies to verify the effectiveness and superiority of this method.

Key words: Wind power, hybrid energy storage, ICEEMDAN, grey wolf optimization algorithm, fuzzy control

CLC Number:

TM911

LIU Yong, LIU Dapeng, MU Yong, LI Zhencheng, WANG Shun. Power Distribution Strategy of Hybrid Energy Storage System Based on GWO Optimization of ICEEMDAN Decomposition[J]. Journal of Electrical Engineering, 2022, 17(4): 257-267.

Figures/Tables 20

References 20

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风电场装机容量/MW	1 min有功功率变化最大限值/MW	10 min有功功率变化最大限值/MW
<30	3	10
30~150	装机容量/10	装机容量/3
>150	15	50

ΔSOC_tg	SOC_tg
ΔSOC_tg	NB	NS	NM	PM	PS	PB
VS	VS	VS	VS	VB	VB	VB
S	S	MB	B	VB	VB	VB
M	MS	B	VB	VB	MB	MS
B	MB	VB	VB	B	MB	S
VB	VB	VB	VB	VS	VS	VS

参数	数值
参数	蓄电池	超级电容
充放电效率	0.9	0.95
SOC上下限	[0.15~0.85]	[0.1~0.9]

信号	imf₁	imf₂	imf₃
imf₁	1	0.061 2	0.054
imf₂	0.061 2	1	0.084 6
imf₃	0.054	0.084 6	1