考虑阶梯碳-绿证互认与重力储能的矿区综合能源系统优化调度

doi:10.11930/j.issn.1004-9649.202503063

中国电力 ›› 2025, Vol. 58 ›› Issue (7): 54-67.DOI: 10.11930/j.issn.1004-9649.202503063

• 规模化综合能源系统规划与运行技术 • 上一篇下一篇

考虑阶梯碳-绿证互认与重力储能的矿区综合能源系统优化调度

王辉¹^,²(), 董宇成¹(), 夏玉琦¹, 周子澜¹, 李欣¹^,²()

1. 三峡大学电气与新能源学院，湖北宜昌　443002
2. 智慧能源技术湖北省工程研究中心（三峡大学），湖北宜昌　443002

收稿日期:2025-03-19 发布日期:2025-07-30 出版日期:2025-07-28
作者简介:
王辉（1969），男，教授，从事新能源微电网运行优化与控制、电能质量检测与谐波治理研究，E-mail：wanghui@ctgu.edu.cn
董宇成（2001），男，通信作者，硕士研究生，从事综合能源系统运行研究，E-mail：18879901922@163.com
李欣（1986），男，副教授，从事综合能源系统运行规划研究，E-mail：ctgulx@ctgu.edu.cn
基金资助:
国家自然科学基金资助项目（基于集成-深度学习的高比例新能源大规模电力系统动态安全评估研究，52107107）。

Optimal Scheduling of Coal Mine Integrated Energy Systems Considering Stepped Carbon-Green Certificate Mutual Recognition and Gravity Energy Storage

WANG Hui¹^,²(), DONG Yucheng¹(), XIA Yuqi¹, ZHOU Zilan¹, LI Xin¹^,²()

1. College of Electrical and New Energy, China Three Gorges University, Yichang 443002, China
2. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China

Received:2025-03-19 Online:2025-07-30 Published:2025-07-28
Supported by:
This work is supported by National Natural Science Foundation of China (Research on Dynamic Security Assessment of High Proportion New Energy Large Scale Power Systems Based on Integration Deep Learning, No.52107107).

摘要/Abstract

摘要：

针对中国西北矿区存在的可再生能源消纳率低、碳排放量高及运行经济性欠佳等问题，提出一种考虑阶梯碳-绿证互认与重力储能的矿区综合能源系统（coal mine integrated energy system，CMIES）优化调度模型。首先，考虑煤层气、废弃矿井重力储能等矿区资源的多元利用，建立CMIES基本模型。其次，为提升CMIES的经济效益和能源利用率，在CMIES中加入碳捕集、电转气和冷热电联产机组等耦合设备，并建立电-热-冷柔性负荷模型以提高系统调节能力。然后，引入阶梯碳-绿证互认机制，通过市场交互促进新能源设备出力。最后，以系统总运行成本最小为目标构建混合整数规划模型并通过Cplex进行求解。仿真结果表明，该模型可显著提升矿区可再生能源消纳率，降低系统碳排放量，同时兼顾系统运行经济性，为CMIES低碳经济化转型提供理论支撑。

关键词: 矿区综合能源系统, 重力储能, 阶梯式碳交易机制, 绿证交易机制

Abstract:

To address the issues of low renewable energy accommodation rates, high carbon emissions, and poor operational economy in mining areas of Northwest China, this paper proposes an optimal scheduling model for coal mine integrated energy system (CMIES) that incorporates the mutual recognition of stepped carbon and green certificates, as well as gravity energy storage. Initially, the basic CMIES model was developed by considering the diverse utilization of mine resources, including coalbed methane and gravity energy storage of abandoned mines. Subsequently, to enhance the economic efficiency and energy utilization rate of the CMIES, coupling equipment such as carbon capture, power-to-gas, and combined cooling, heating, and power units was incorporated into the system. Additionally, a flexible load model for electricity, heat, and cooling was established to improve the system's operational flexibility. Furthermore, a mutual recognition mechanism for stepped carbon and green certificates was introduced to encourage the utilization of renewable energy equipment through market interactions. Finally, a mixed-integer programming model was formulated to minimize the total operating cost of the system and was solved using Cplex. The simulation results demonstrate that the proposed model significantly enhances the renewable energy accommodation rate in mining areas while reducing system carbon emissions, striking a balance with operational economics, thereby providing a theoretical foundation for the low-carbon and economically viable transition of CMIES.

Key words: coal mine integrated energy system, gravity energy storage, stepped carbon trading mechanism, green certificate trading mechanism

王辉, 董宇成, 夏玉琦, 周子澜, 李欣. 考虑阶梯碳-绿证互认与重力储能的矿区综合能源系统优化调度[J]. 中国电力, 2025, 58(7): 54-67.

WANG Hui, DONG Yucheng, XIA Yuqi, ZHOU Zilan, LI Xin. Optimal Scheduling of Coal Mine Integrated Energy Systems Considering Stepped Carbon-Green Certificate Mutual Recognition and Gravity Energy Storage[J]. Electric Power, 2025, 58(7): 54-67.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202503063

https://www.electricpower.com.cn/CN/Y2025/V58/I7/54

图/表 12

图 1 复合型矿区综合能源系统框架

Fig.1 Hybrid coal mine integrated energy system framework

图 2 重力储能示意

Fig.2 Schematic of gravity energy storage

图 3 阶梯碳-绿证互认机制

Fig.3 Stepped carbon-green certificate mutual recognition mechanism

图 4 矿区各负荷及风光出力预测曲线

Fig.4 Forecasting curves of various loads, wind and PV output in the mining area

图 5 矿区煤层气流量

Fig.5 Coalbed methane flow in the mine area

表 1 分时电价

Table 1 Time-of-use price

类别	时段	价格(元·(kW·h)^–1)
谷时	00:00—06:00	0.47
平时	12:00—18:00	0.89
峰时	06:00—12:00	1.24
峰时	18:00—24:00	1.24

表 2 储能设备参数

Table 2 Parameters of energy storage equipment

储能设备	容量/kW			充放电最大功率/kW	充放电效率
储能设备	初始	上限	下限	充放电最大功率/kW	充放电效率
储电	2025	5400	1350	3375	0.95
储热	2250	6000	1500	3750	0.95
储冷	675	1800	450	1125	0.95
重力储能	1350	3600	0	1800	0.80

表 3 各场景调度结果

Table 3 Scheduling results for each scenario

场景	碳排放量/kg	风光出力/kW	风光消纳率/%	成本/元
场景	碳排放量/kg	风光出力/kW	风光消纳率/%	运维	购能	碳交易	绿证	需求响应补偿	总计
1	144649.46	517170.89	92.16	121648.30	237951.88	57432.11			417032.29
2	132143.19	511676.31	91.63	120098.61	225215.45	50728.75			396042.80
3	130118.58	516413.16	92.47	121607.35	216916.17	49643.56			388167.08
4	133507.69	548543.47	98.23	129157.98	209622.59	51460.12	–26213.25		364027.44
5	90000.00	549090.19	98.33	129303.14	209396.58	30150.00	–6952.61		361897.10
6	90000.00	555972.03	99.56	130037.40	172555.57	30150.00	–23785.28	24795	333752.69

图 6 系统功率优化调度结果

Fig.6 Scheduling results of system power optimization

图 7 重力储能容量对系统的影响

Fig.7 Impact of gravity energy storage capacity on the system

图 8 可再生能源消纳率

Fig.8 Renewable energy accommodation rate

图 9 阶梯碳-绿证互认机制参数对CMIES总成本影响

Fig.9 Impact of the parameters of the step carbon-green certificates mutual recognition mechanism on the total cost of the CMIES

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考虑阶梯碳-绿证互认与重力储能的矿区综合能源系统优化调度

Optimal Scheduling of Coal Mine Integrated Energy Systems Considering Stepped Carbon-Green Certificate Mutual Recognition and Gravity Energy Storage

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