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Collaborative Optimal Scheduling of Coal Mine Integrated Energy System Based on Carbon Capture and Power to Gas
Author:
Affiliation:

1.Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China;2.Measurement Center of Yunnan Power Grid Co., Ltd., Kunming 650051, China;3.Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650500, China

Abstract:

Under the strategic goal of carbon emission peak and carbon neutrality, in order to promote the wind and photovoltaic (PV) accommodation and energy power low-carbon transformation, and improve the energy utilization rate of coal mine, this paper proposes a low-carbon economic scheduling model of coal mine integrated energy system (CMIES) with associated energy and the coupling of carbon capture and power to gas. Firstly, considering the utilization of associated energy in the coal mine such as gas, ventilation and water gushing, the basic model of CMIES is established, and the carbon capture and power-to-gas devices are used as coupling units to promote energy conservation, emission reduction and renewable energy accommodation. Secondly, the reward and punishment ladder-type carbon trading mechanism is introduced, and the collaborative optimal scheduling model of CMIES is established with the goal of minimizing the operation cost of the CMIES. Finally, taking a large coal mine in Yunnan, China as a case, the simulation analysis is carried out by setting different scenarios. The results show that the proposed model can promote the low-carbon economic operation of the CMIES and improve the wind and PV accommodation rate.

Keywords:

Foundation:

This work is supported by National Key R&D Program of China (No. 2022YFB2703500), National Natural Science Foundation of China (No. 52277104) and Yunnan Provincial Key R&D Program of China (No. 202303AC100003).

Get Citation
[1]LUO Zhao, LUO Mengshun, SHEN Xin, et al. Collaborative Optimal Scheduling of Coal Mine Integrated Energy System Based on Carbon Capture and Power to Gas[J]. Automation of Electric Power Systems,2024,48(3):22-30. DOI:10.7500/AEPS20230518008
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History
  • Received:May 18,2023
  • Revised:October 18,2023
  • Adopted:October 19,2023
  • Online: February 04,2024
  • Published: