Research on hybrid energy storage power distribution strategy based on parameter optimization variational mode decomposition

doi:10.19799/j.cnki.2095-4239.2021.0374

Abstract

Abstract:

Hybrid Energy Storage System (HESS), composed of all-vanadium flow batteries and supercapacitors, can effectively suppress wind power fluctuations. In order to improve the flexibility and safety of the energy storage system, a hybrid energy storage power distribution method based on parameter optimization Variational Mode Decomposition (VMD) is proposed. Firstly, the exponential smoothing method is used to filter the wind power according to the grid connection standard to obtain the required wind power grid flowing into grid, and the wind fluctuation power which needs to be smoothed by energy storage system is calculated. Then, the fitness function is constructed by three signal decomposition evaluation indexes,and a Sparrow Search Algorithm (SSA) is adopted to optimize the mode number K and the secondary penalty factor α for VMD algorithm. Based on the optimized values of K and α, VMD algorithm is used to decompose the fluctuating wind power and then distribute it reasonably between the batteries and the supercapacitors. Finally, a fuzzy controller is employed to optimize the state of charge (SOC) of storage device to realize the secondary distribution of HESS. Example results show that the proposed method can not only adaptively decompose the wind power fluctuation power signal, effectively suppress the wind power fluctuation, reduce modal mixing and complete the reasonable distribution of HESS power, but also optimize the charge and discharge range of energy storage equipment, avoid the occurrence of overcharge and excessive discharge of energy storage equipment, and ensure the charge state of energy storage equipment in a fixed range, which realizes the safe and stable operation of HESS.

Key words: variational mode decomposition (VMD), sparrow search algorithm (SSA), hybrid energy storage system (HESS), fuzzy control, state of charge (SOC)

CLC Number:

TM 73

Xiaozhi GAO, Lei WANG, Jin TIAN, Jialu LIU, Qinghua LIU. Research on hybrid energy storage power distribution strategy based on parameter optimization variational mode decomposition[J]. Energy Storage Science and Technology, 2022, 11(1): 147-155.

Figures/Tables 16

Table 1

Fig. 1

Fig. 2

Fig. 3

Table 2

Fuzzy control rules for all vanadium redox battery"

$Δ P b (t)$		SOC_b
$Δ P b (t)$		NB	NM	NS	ZO	PS	PM	PB
$P b (t)$	D	PB	PM	PS	ZO	ZO	ZO	ZO
$P b (t)$	C	ZO	ZO	ZO	ZO	NS	NM	NB

Table 2

Table 3

Fuzzy control rules for supercapacitor"

$Δ P s (t)$		SOC_s
$Δ P s (t)$		NB	NM	NS	ZO	PS	PM	PB
$P s (t)$	D	PB	PM	PS	ZO	ZO	ZO	ZO
$P s (t)$	C	ZO	ZO	ZO	ZO	NS	NM	NB

Table 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Table 4

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状态	全钒液流电池SOC区间	超级电容器SOC区间
优化前	11%～91%	32%～97%
优化后	21%～79%	39%～88%

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