Information Gap Decision Theory-based Robust Scheduling of Coal Mine Integrated Energy Systems with Power-to-gas

During coal mining process, a large number of associated resources are derived for production and living. To meet the requirements of coal-associated resources recycling and reliable operation under severe resource disturbances, this paper proposes an information gap decision theory-based (IGDT-based) robust scheduling of coal mine integrated energy systems (CMIES) with power-to-gas (P2G). Firstly, according to the resource endowment and geological characteristics of coal mines, a multi-resource recycling framework considering P2G and mashgas blending is built, in which P2G and mashgas storage utilization are comprehensively combined. Secondly, a deterministic scheduling model is established to minimize the operation and energy abandonment costs, while the mine-resource energy recovery and multi-link operation constraints are considered simultaneously. Thirdly, an IGDT-based robust optimization strategy under empirical proportional disturbance is put forward to quantify the uncertainties of associated resources, and the weight correction factors are integrated for dealing with resource empirical proportional disturbance. Finally, case analysis is conducted using actual coal mine data. The results show that the strategy can contribute to energy accommodation and improve the comprehensive operational benefit in coal mines. Additionally, the scheduling strategy has strong robustness to source-load uncertainties. © 2023 Science Press. All rights reserved.