Control strategy for wind power fluctuation stabilization with energy storage and frequency modulation reserve

doi:10.19799/j.cnki.2095-4239.2022.0700

Abstract

Abstract:

An energy storage system equipped with a new energy station can smooth the fluctuation of output power and undertake the frequency regulation obligation of the new energy unit. Nevertheless, the energy storage may cause an insufficient active power reserve of the frequency modulation system if it considers only the single stabilizing fluctuation condition. Therefore, this paper proposes a strategy for wind power fluctuation stabilization considering frequent-modulated active power backup and state of charge restoration. First, a clustering algorithm was used to extract typical working conditions of energy storage fluctuation stabilization power. The energy storage required to smooth the fluctuation power demand and residual active power was calculated. Second, the energy storage frequency modulation reserve and wind power load reduction are used to provide active power reserve according to the national standard for active power reserve of wind farms, and the energy storage to stabilize the fluctuation power limit is set. Finally, the fuzzy control theory is used to design the strategy for restoring the state of charge at the edge of the energy storage system. Based on the actual wind farm operation data, the simulation results show that the proposed method can provide active power backup and restore the state of charge in the edge zone when the energy storage system suppresses wind power fluctuation.

Key words: energy storage power station, smooth wind power fluctuations, frequency modulation standby, recover state of charge, fuzzy control

CLC Number:

TM 73

Hongxin WU, Aikui LI, Cun DONG, Shumin SUN, Guanglei LI, Shibo WANG. Control strategy for wind power fluctuation stabilization with energy storage and frequency modulation reserve[J]. Energy Storage Science and Technology, 2023, 12(4): 1194-1203.

Figures/Tables 10

Fig. 1

Fig. 2

Table 1

Fuzzy rule table"

$f$	SOC
$f$	LS	MS	SM	SB	MB	LB
SG	VS	S	M	M	S	VS
MG	S	M	L	L	M	S
LG	M	L	VL	VS	L	M

Table 1

Fig. 3

Fig.4

Fig. 5

Table 2

Fig.6

Fig.7

Fig. 8

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项目	场景1	场景2	场景3	场景4	场景5	场景6	场景7	场景8
最大充电功率/MW	3.16	0.33	5.94	0.12	5.25	0.94	2.95	7.80
最大放电功率/MW	-4.64	-0.35	-2.76	-5.60	-4.37	-2.77	-1.63	-7.09
场景出现概率	14.29%	34.92%	9.52%	6.35%	15.87%	15.87%	14.29%	7.94%

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