Stochastic Optimization Scheduling Method for Mine Electricity–Heat Energy Systems Considering Power-to-Gas and Conditional Value-at-Risk

To fully accommodate renewable and derivative energy sources in mine energy systems under supply and demand uncertainties, this paper proposes an optimized electricity–heat scheduling method for mining areas that incorporates Power-to-Gas (P2G) technology and Conditional Value-at-Risk (CVaR). First,...

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Published inEnergies (Basel) Vol. 18; no. 15; p. 4146
Main Authors Han, Chao, Zhu, Yun, Zhou, Xing, Wang, Xuejie
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2025
Subjects
Alternative energy sources
Carbon dioxide
Case studies
Cholesky decomposition
Coal mining
conditional value-at-risk (CVaR)
Costs
Decision making
Efficiency
Electricity
Emissions
Energy consumption
Energy resources
Energy storage
Force and energy
Methane
Methods
mine electricity–heat energy system
Mines
Mines and mineral resources
Optimization
Renewable resources
source–load correlation
stochastic optimization
Supply & demand
Sustainable development
Ventilation
Wind power
China
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Summary:To fully accommodate renewable and derivative energy sources in mine energy systems under supply and demand uncertainties, this paper proposes an optimized electricity–heat scheduling method for mining areas that incorporates Power-to-Gas (P2G) technology and Conditional Value-at-Risk (CVaR). First, to address uncertainties on both the supply and demand sides, a P2G unit is introduced, and a Latin hypercube sampling technique based on Cholesky decomposition is employed to generate wind–solar-load sample matrices that capture source–load correlations, which are subsequently used to construct representative scenarios. Second, a stochastic optimization scheduling model is developed for the mine electricity–heat energy system, aiming to minimize the total scheduling cost comprising day-ahead scheduling cost, expected reserve adjustment cost, and CVaR. Finally, a case study on a typical mine electricity–heat energy system is conducted to validate the effectiveness of the proposed method in terms of operational cost reduction and system reliability. The results demonstrate a 1.4% reduction in the total operating cost, achieving a balance between economic efficiency and system security.
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ISSN:1996-1073
1996-1073
DOI:10.3390/en18154146