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

• Planning and Operation Technology of Large-Scale Integrated Energy Systems • Previous Articles     Next Articles

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. 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).

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