Control Strategy and Optimal Configuration of Active-Support-Grid Type Decentralized Energy Storage System for Wind Farms

doi:10.11930/j.issn.1004-9649.202305132

Abstract

Abstract:

A decentralized energy storage system for renewable energy stations has the characteristics of small capacity, wide dispersion, flexible deployment, and convenient expansion, which reduces the hidden dangers of accidents caused by battery aggregation and avoids the problem of high land acquisition and supporting construction costs. It can not only ensure refined management for nodes but also achieve cluster control, helping renewable energy stations improve grid-related operation performance, reduce assessment costs, and improve power generation efficiency. First of all, based on the principle of "decentralized layout and centralized control", a decentralized energy storage cluster control strategy is proposed, which virtualizes the decentralized energy storage into a centralized energy storage form and reasonably distributes power instructions according to the state of charge and state of health of energy storage. Secondly, according to the grid interconnection requirements, a coordinated control strategy for wind-storage systems based on frequency modulation priority is designed. By referring to the detailed rules of Jiangsu Province, a decentralized energy storage configuration optimization model is proposed to actively support the grid. The calculation example shows that the allocation of a certain scale of the energy storage system can reduce the assessment cost and improve the grid-related operation performance.

Key words: wind-storage system, decentralized energy storage system, grid-related operation performance, two detailed rules, capacity configuration

Cheng LI, Jie ZHANG, Ke SHI, Minghua XUE, Bo FENG. Control Strategy and Optimal Configuration of Active-Support-Grid Type Decentralized Energy Storage System for Wind Farms[J]. Electric Power, 2023, 56(12): 238-247.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202305132

https://www.electricpower.com.cn/EN/Y2023/V56/I12/238

Figures/Tables 11

References 26

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项目	类别	要求	考核
功率预测	中短期	次日96点合格率不小于90%；第10日96点合格率不小于70%	超过月度总点数2%的每个不合格点按额定容量考核1元/MW
功率预测	超短期	第15 min点合格率不小于97%；第4 h点合格率不小于87%	每个不合格点按额定容量考核0.4元/MW
AGC	调节范围	20%~100%额定容量范围内连续可调	下限达不到20%，每超1%，考核15元/(MW·月)
	调节速度	10%额定容量/min	每降低0.1%额定容量/min，考核5元/(MW·月)
	调节精度	min{1.5%额定容量，0.05 MW}以内	每超0.1%额定容量，考核5元/(MW·月)
一次调频	投运率	达到98%	每低1%，考核0.1元/(MW·天)
一次调频	响应指数	风电场0.7	每低0.01，考核0.4元/(MW·天)

项目	类别	要求	考核
功率预测	中短期	次日96点合格率不小于90%；第10日96点合格率不小于70%	超过月度总点数2%的每个不合格点按额定容量考核1元/MW
功率预测	超短期	第15 min点合格率不小于97%；第4 h点合格率不小于87%	每个不合格点按额定容量考核0.4元/MW
AGC	调节范围	20%~100%额定容量范围内连续可调	下限达不到20%，每超1%，考核15元/(MW·月)
	调节速度	10%额定容量/min	每降低0.1%额定容量/min，考核5元/(MW·月)
	调节精度	min{1.5%额定容量，0.05 MW}以内	每超0.1%额定容量，考核5元/(MW·月)
一次调频	投运率	达到98%	每低1%，考核0.1元/(MW·天)
一次调频	响应指数	风电场0.7	每低0.01，考核0.4元/(MW·天)

参数	数值	参数	数值
充放电效率/%	90	ESS寿命/年	15
荷电状态上限	0.8	设备价格/万元·套^–1	47
荷电状态下限	0.2	贴现率/%	8

参数	数值	参数	数值
充放电效率/%	90	ESS寿命/年	15
荷电状态上限	0.8	设备价格/万元·套^–1	47
荷电状态下限	0.2	贴现率/%	8

ESS 编号	SOC	分配系数		ESS 编号	SOC	分配系数
ESS 编号	SOC	充电	放电	ESS 编号	SOC	充电	放电
#1	0.57	0.02	0.03	#21	0.63	0.02	0.03
#2	0.49	0.03	0.02	#22	0.44	0.03	0.02
#3	0.67	0.01	0.04	#23	0.50	0.03	0.02
#4	0.72	0.01	0.04	#24	0.41	0.04	0.02
#5	0.78	0	0.04	#25	0.49	0.03	0.02
#6	0.49	0.03	0.02	#26	0.39	0.04	0.01
#7	0.74	0.01	0.04	#27	0.76	0	0.04
#8	0.68	0.01	0.04	#28	0.54	0.02	0.03
#9	0.69	0.01	0.04	#29	0.33	0.04	0.01
#10	0.72	0.01	0.04	#30	0.37	0.04	0.01
#11	0.74	0.01	0.04	#31	0.48	0.03	0.02
#12	0.64	0.01	0.03	#32	0.23	0.05	0
#13	0.55	0.02	0.03	#33	0.39	0.04	0.01
#14	0.49	0.03	0.02	#34	0.44	0.03	0.02
#15	0.27	0.05	0.01	#35	0.53	0.02	0.03
#16	0.72	0.01	0.04	#36	0.29	0.05	0.01
#17	0.38	0.04	0.01	#37	0.48	0.03	0.02
#18	0.49	0.03	0.02	#38	0.73	0.01	0.04
#19	0.23	0.05	0	#39	0.56	0.02	0.03
#20	0.47	0.03	0.02	#40	0.41	0.04	0.02