Optimal allocation of hybrid energy storage capacity based on variational mode decomposition

doi:10.19799/j.cnki.2095-4239.2019.0170

Abstract

Abstract:

The variations in light intensity and temperature induce the photovoltaic power generation to become random and intermittent, causing the photovoltaic output power to fluctuate considerably and affecting the safe operation of the power grid. Thus, a hybrid energy storage system comprising a storage battery and supercapacitor is investigated to reduce photovoltaic power fluctuation. This study proposes a power allocation method for variational mode decomposition. Combined with the photovoltaic power volatility and energy storage response characteristics, the photovoltaic power is classified as grid-connected power, which satisfies the national standard, and high and low compensation power; supercapacitors and batteries are used to provide high and low compensation power. A capacity optimization configuration model is established by considering the minimum annual comprehensive cost of the hybrid energy storage system as the objective function. Considering constraints, including the power balance, charge and discharge power limitation, and state of charge, an improved particle swarm optimization algorithm based on the Gaussian weighting of fitness values is used. The capacity configuration of energy storage equipment that meets the system compensation requirements is obtained, and the annual comprehensive cost of the hybrid energy storage system is minimized. Using this example, the mixed storage capacity allocations and costs of variational and empirical mode decomposition are compared and analyzed, and the capacity allocation results of mixed and single energy storage based on variational mode decomposition are compared and analyzed. The proposed method can suppress photovoltaic power fluctuation, reduce the energy storage capacity and annual comprehensive cost, and improve the system reliability and economy.

Key words: differential power, fluctuation rate, variational mode decomposition, hybrid energy storage, capacity allocation

CLC Number:

TM 615

ZHANG Mengtian, TIAN Shu, ZENG Zhihui. Optimal allocation of hybrid energy storage capacity based on variational mode decomposition[J]. Energy Storage Science and Technology, 2020, 9(1): 170-177.

Figures/Tables 11

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电站类型	十分钟内最大波动/MW	一分钟内最大波动/MW
小型	装机容量	0.2
中型	装机容量	装机容量/5
大型	装机容量/3	装机容量/10

性能指标	蓄电池	超级电容器
功率成本系数/元·kW^-1	1500	1500
容量成本系数/元·（kW·h)^-1	1000	27000
运维成本系数/元·(kW·h)^-1	0.05	0.05
充放电效率/%	80	90
SOC上下限	（0.2 0.8）	（0.05 0.95）
贴现率/%	10	10

分解方法	储能类型	额定功率/kW	额定容量/kW·h	成本/元
EMD	蓄电池	36.41	87.93	51309
EMD	超级电容器	34.19	12.76	51309
VMD	蓄电池	32.67	82.56	46962
VMD	超级电容器	31.65	11.49	46962

项目	蓄电池	超级电容器	混合储能
P_B/kW	44.73	—	32.67
E_B/kW·h	106.28	—	82.56
P_C/kW	—	38.71	31.65
E_C/kW·h	—	26.79	11.49
成本/元	55157	56359	46962

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