Power Allocation Strategy for Wind Power Hybrid Storage Systems Based on Variational Modal Decomposition-Multifuzzy Control

doi:10.16183/j.cnki.jsjtu.2023.572

Abstract

Abstract:

A power allocation strategy based on variational modal decomposition-multifuzzy control for wind power hybrid storage system is proposed to address the poor grid-connected power quality caused by the uncertainty of wind power output and the poor power allocation of hybrid storage systems. First, Latin hypercubic sampling and Euclidean distance method are used to generate a typical scenario of wind power considering the uncertainty of wind power output. Then, the variational modal decomposition optimized by the positive cosine algorithm is used for the initial allocation of wind power to obtain the grid-connected power of wind power which is lower than the upper limit of the grid-connected fluctuation and the levelling power of the hybrid energy storage system. Finally, the load state of the hybrid energy storage system is partitioned, and a power redistribution strategy under multi-fuzzy control is proposed to achieve the correction of the power of the hybrid energy storage system by considering the system load state and the characteristics of the hybrid energy storage. Simulation results show that the proposed strategy can suppress wind power fluctuations and obtain stable grid-connected power. Additionly, it can effectively solve the overcharging and over-discharging problems of the hybrid energy storage system.

Key words: power allocation, hybrid energy storage systems, Latin hypercubic sampling, variational modal decomposition, multi-fuzzy control strategies

CLC Number:

TM614

LI Jianlin, SUN Haoyuan, ZHAO Wending, LIANG Ce, LIANG Zhonghao, YUAN Xiaodong. Power Allocation Strategy for Wind Power Hybrid Storage Systems Based on Variational Modal Decomposition-Multifuzzy Control[J]. Journal of Shanghai Jiao Tong University, 2025, 59(10): 1498-1509.

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k₁,k₂		ΔS_SOC
k₁,k₂		NB	NM	NS	PS	PM	PB
S_SOC	VS	VS	VS	VS	VB	VB	VB
	S	S	MS	MB	VB	VB	VB
	MS	MS	MB	B	VB	VB	MS
	M	M	B	VB	VB	MB	M
	MB	MB	B	VB	VB	MB	M
	B	MB	VB	VB	B	MB	S
	VB	VB	VB	VB	VS	VS	VS

典型场景	总天数	概率
1	45	0.120
2	51	0.140
3	36	0.100
4	36	0.100
5	5	0.012
6	55	0.152
7	26	0.070
8	31	0.086
9	33	0.090
10	47	0.130

参数名称	最大充/放电功率限值/kW	额定容量/ (kW·h)	充放电效率/%	初始荷电状态/%	荷电状态下限/%	荷电状态上限/%
超级电容	158	35	90	50	10	90
蓄电池	206	105	80	50	20	80