考虑冷热电多能流的混合储能系统三阶段能量优化调度策略*

doi:10.11985/2024.01.011

电气工程学报 ›› 2024, Vol. 19 ›› Issue (1): 106-116.doi: 10.11985/2024.01.011

• 特邀专栏:储能关键装备数字化智能安全管理技术 • 上一篇下一篇

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考虑冷热电多能流的混合储能系统三阶段能量优化调度策略^*

马振祺(), 任浩栋(), 张凯(), 朱亮(), 梁有珍(), 蒋臣()

国网甘肃省电力公司电力科学研究院兰州 730000

收稿日期:2023-09-19 修回日期:2023-11-23 出版日期:2024-03-25 发布日期:2024-04-25
作者简介:马振祺，男，1980年生，硕士，副高级工程师。主要研究方向为配网管理。E-mail：09379630@sina.com;
任浩栋，男，1997年生，硕士，助理工程师。主要研究方向为配网设备评价。E-mail：2396465761@qq.com;
张凯，男，1982年生，硕士，高级工程师。主要研究方向为高电压技术、配电技术。E-mail：99369056@qq.com;
朱亮，男，1987年生，副高级工程师。主要研究方向为配电与电缆技术。E-mail：330558767@qq.com;
梁有珍，女，1990年生，硕士，工程师。主要研究方向为有源配电网。E-mail：963508446@qq.com;
蒋臣，男，1981年生，硕士，中级工程师。主要研究方向为配网运维。E-mail：176784835@qq.com
基金资助:
国网甘肃省电力公司2023年研究开发资助项目(52272223001K)

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

MA Zhenqi(), REN Haodong(), ZHANG Kai(), ZHU Liang(), LIANG Youzhen(), JIANG Chen()

Electric Power Science Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730000

Received:2023-09-19 Revised:2023-11-23 Online:2024-03-25 Published:2024-04-25

摘要/Abstract

摘要：

针对综合能源系统(Integrated energy system, IES)中可再生能源(Renewable energy, RE)能量耦合的复杂性和能量波动问题，提出了一种改进的混合储能系统(Hybrid energy storage system, HESS)三阶段能量优化调度。分析了IES中各种器件在不同时间尺度下的功率响应特性，表明三阶段能量优化调度方法可以与包括HESS在内的IES很好地耦合。比较分析了HESS在稳定功率波动和延长储能寿命方面优于单一储能系统的优点，提出了三阶段能量优化调度下超级电容的控制方法。根据日前预测数据，一次能源消耗、运营成本、二氧化碳排放被视为日前滚动优化阶段的优化目标。在日内滚动调整阶段，该方法可以减少RE日前预测误差的影响，实现日内能源调度平衡，确保IES设备的安全运行。考虑到IES中可再生能源比例较高的背景，创新性地利用HESS的优势来改善系统的功率响应特性。仿真结果表明，所提方法在提升系统功率响应速度、延长储能电池(Lithium-ion battery，LiB)寿命和减少碳排量上具有显著提升。

关键词: 综合能源系统, 混合储能系统, 三阶段能量优化调度策略

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

中图分类号:

TM734

马振祺, 任浩栋, 张凯, 朱亮, 梁有珍, 蒋臣. 考虑冷热电多能流的混合储能系统三阶段能量优化调度策略^*[J]. 电气工程学报, 2024, 19(1): 106-116.

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.

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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

考虑冷热电多能流的混合储能系统三阶段能量优化调度策略^*

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

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