Three-stage Energy Optimization Scheduling Strategy of Hybrid Energy Storage System Considering Multi-energy Flow of Cooling, Heating and Power

doi:10.11985/2024.01.011

Abstract

Abstract:

In view of the complex energy coupling and fluctuation of renewable energy(RE) sources in the integrated energy system(IES), an improved three-stage energy optimization scheduling strategy is proposed for the hybrid energy storage system(HESS). The power response characteristics of various devices in IES at different time scales are analyzed which shows that the three-stage energy optimization scheduling strategy can be well coupled with the IES including HESS. The advantages of HESS over single energy storage system in stabilizing power fluctuation and extending energy storage life are compared and analyzed while the optimization scheduling strategy of supercapacitor under three-stage energy optimization scheduling strategy is proposed. The primary energy consumption, operating costs, carbon dioxide emissions and load shedding costs are considered as the optimization objectives in the day-ahead rolling optimization stage according to the day-ahead forecast renewable energy data. In the intraday rolling adjusting stage, the proposed method can reduce the effect of the RE day-ahead forecasting errors to achieve the intraday energy scheduling balance and ensure the safe operation of the devices of IES. Considering the background of IES with a high proportion of renewable energy, innovative use of the advantages of HESS is made to improve the power response characteristic of the system. As shown in the case, the application of HESS in the IES can improve the power response characteristic, extend the lithium-ion battery(LiB) life and has more benefits in reducing carbon emissions.

Key words: Integrated energy system, hybrid energy storage system, three-stage energy optimization scheduling strategy

CLC Number:

TM734

MA Zhenqi, REN Haodong, ZHANG Kai, ZHU Liang, LIANG Youzhen, JIANG Chen. Three-stage Energy Optimization Scheduling Strategy of Hybrid Energy Storage System Considering Multi-energy Flow of Cooling, Heating and Power[J]. Journal of Electrical Engineering, 2024, 19(1): 106-116.

Figures/Tables 12

References 23

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参数	数值	参数	数值
η_mt	0.25	C_c/[元/(kW·h)]	0.000 02
η_rec	0.8	μ_e/[g/(kW·h)]	968
η_boil	0.8	μ_f /[g/(kW·h)]	220
COP_ac	0.7	k_e	3.336
COP_ec	3.0	k_f	1.047
η_{SP, boil}	0.8	η_bt_,chr	0.95
η_{SP, hc}	0.8	η_bt_,_dis	0.95
C_e/[元/(kW·h)] 6:00—21:00	1.00	η_tst_,chr	0.9
C_e/[元/(kW·h)] 22:00—5:00	0.62	η_tst_,_dis	0.9
C_f /[元/(kW·h)]	1.86	γ_h	0.1
锂离子电池单位成本/[元/(kW·h)]	1 600	超级电容单位成本/ [元/(kW·h)]	8 000

场景	24 h内的充放电循环次数统计	蓄电池寿命预测/年
日内滚动调整阶段仅蓄电池	103	4.25
实时协调控制阶段混合储能系统	29	8.78