Coordinated Optimization Scheduling of Wind, Solar, Hydro and Methane Power Generation with Adjustable Methane

Wengang Chen ^* Xinrui Wang Ruimin Tian Yuze Ji Helong Liu Yafei Yuan

• State Grid Jincheng Power Supply Company, Jincheng, China

To enhance the utilization of methane resources in coal-rich regions and promote the deep integration of methane power generation with distributed resources such as wind, solar, and hydropower, a coordinated optimization dispatch model incorporating adjustable methane-fired generation is proposed. First, based on the power supply topology of coal mines and the methane extraction process, the dynamic transmission mechanism of methane is explored, and a detailed model for adjustable methane-fired generation is developed, considering the virtual storage characteristics of methane. Next, an optimization model is formulated to enhance the system's economic and environmental performance, integrating wind, solar, hydropower, and methane resources while accounting for constraints such as distribution network flow, equipment operation, and coal mine safety. Finally, to address uncertainties in source-load balancing during the scheduling process, the information gap decision theory (IGDT) is employed for quantitative analysis, and fuzzy logic is introduced to form the fuzzy-enhanced information gap decision theory (F-EIGDT), enabling accurate risk assessment under uncertainty. A case study is conducted using a coal mine in Shanxi, where different scenarios are set up to validate the effectiveness of the proposed model and methodology. The results show that the proposed model not only improves methane utilization but also effectively facilitates the coordination of multiple resources (wind, solar, hydro, and methane), with the dispatch plan demonstrating strong robustness to source-load fluctuations.