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Open Access

Dispatch of a Coal Mine-Integrated Energy System: Optimization Model with Interval Variables and Lower Carbon Emission

School of Information and Control Engineering, ChinaUniversity of Mining and Technology, Xuzhou 221116,China
Laboratory of Alternate Electrical PowerSystem with Renewable Energy Sources, North ChinaElectric Power University, Beijing 102206, China
School of Information Science andTechnology, Qingdao University of Science and Technology,Qingdao 266061, China
Department of Automation,Tsinghua University, Beijing 100084, China
South Africa WeatherService, Pertoria 0001, South Africa
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Abstract

In the coal mining process, a large amount of Coal Mine-Associated energy (CMAE), such as coal mine methane and underground wastewater, is produced. Research on the modeling and optimization dispatching of a Coal Mine-Integrated Energy System (CMIES) with CMAE effectively saves energy and reduces carbon pollution. CMAE has great uncertainties owing to the affections of the hydrogeology conditions and mining schedules. In addition, thermal loads have high comfort requirements in mines, which brings great challenges to the optimization dispatching of CMIESs. Therefore, this paper studies the architecture and solution of CMIESs with a flexible thermal load and source-load uncertainty. First, to effectively improve the electric and thermal conversion efficiency, the architecture of CMIES, including a concentrating solar power station, is built. Second, for the scheduling model with bilateral uncertainty, the interval representation method with interval variables is proposed, and a multi-objective scheduling model based on the interval variables and flexible thermal load is constructed. Finally, we propose a solution method for the model with interval variables. A case study is conducted to demonstrate the performance of our model and method for lowering carbon emissions and cost.

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Tsinghua Science and Technology
Pages 1441-1462
Cite this article:
Hu H, Sun X, Zeng B, et al. Dispatch of a Coal Mine-Integrated Energy System: Optimization Model with Interval Variables and Lower Carbon Emission. Tsinghua Science and Technology, 2024, 29(5): 1441-1462. https://doi.org/10.26599/TST.2023.9010110

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Received: 25 July 2023
Revised: 30 August 2023
Accepted: 08 September 2023
Published: 02 May 2024
© The Author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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