Mixed Energy Storage Participating in Capacity Optimization Configuration of Wind Power Primary Frequency Regulation

doi:10.16628/j.cnki.2095-8188.2020.10.009

Abstract

Abstract:

Wind power schedulability and frequency stability can be improved with wind power clusters equipped with hybrid energy storage systems.This paper is based on wind power standby and hybrid energy storage system participating in one frequency modulation.The maximization of the revenue of the wind energy cluster combined hybrid energy storage system is as the target.The whale algorithm that is not easy to fall into the local optimal solution is used to solve it,and the wind power cluster standby ratio and the optimal configuration scheme of hybrid energy storage are obtained.The impact of the wind power reserve ratio on the maximum revenue of the wind power cluster and the battery capacity configuration and the impact of hybrid energy storage on the battery life are analyzed,and the optimization results of the wind power cluster and the individual wind farm are compared.Finally,a wind power cluster in Northeast China is taken as an example to verify the effectiveness of the proposed method.

Key words: wind power cluster(WFC), energy storage capacity optimization, whale algorithm, primary frequency regulation, hybrid energy storage

CLC Number:

TM614

LIU Yingming, CHEN Liang, WANG Xiaodong, WANG Yingwei. Mixed Energy Storage Participating in Capacity Optimization Configuration of Wind Power Primary Frequency Regulation[J]. LOW VOLTAGE APPARATUS, 2020, 0(10): 55-63.

Figures/Tables 15

References 28

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参数	数值
单位功率容量成本k_P/(元·kW^-1)	1 600
单位电量容量成本k_E/[元·kWh^-1]	2 530
单位功率年运维成本k_k/[元·(kW·a)^-1]	90
年运维成本k_v/[元·(kWh·a)^-1]	10
风电并网价格C_w/(元·kWh^-1)	0.65
调频服务单价C_f/(元·kWh^-1)	1.5
调频不足惩罚单价C_no/(元·kWh^-1)	15
额定使用次数N_r	789
蓄电池初始存储能量E₀/kWh	0.8E_B
放电效率η_f	0.8
拟合系数α₁	0.19
放电深度D_r	1
充电效率η_c	0.8
拟合系数α₂	1.69
折旧系数r	0.1

参数	数值
额定电压/V	16
电容/F	500
最大工作电流/A	300
最小工作电压/V	1.5
最大工作电压/V	20
单位电量容量成本/(元·kWh^-1)	3 840

算法名称	单一储能/万元	MES/万元
鲸鱼算法	1 970 278.0	2 053 024.1
遗传算法	1 970 197.8	2 052 342.5

参数	储能方式
参数	单一储能	MES
蓄电池容量/kWh	29 963	11 094
超级电容器组容量/kWh	0	658
储能系统成本/万元	3 112	1 709

风电场与WFC	优化结果/万元
WF1	236 126.03
WF2	399 726.87
WF3	382 315.30
WF4	143 887.38
WF5	483 029.42
WF6	326 918.33
∑WF	1 972 003.33
WFC	2 053 024.10