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

• Published in: Energies (Basel) Vol. 18; no. 15; p. 4146
• Main Authors: Han, Chao, Zhu, Yun, Zhou, Xing, Wang, Xuejie
• Format: Journal Article
• Language: English
• 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

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,...