Distributionally robust optimization for dispatching the integrated operation of rural multi-energy system and waste disposal facilities under uncertainties.

With the increasing global attention to environmental protection and sustainable development, governments around the world attach great importance to the low-carbon reform of rural energy and waste management. The interaction between waste-to-energy technology (W2E) and rural multi-energy system has emerged as one of the important issues that must be considered. Based on this, this paper combines two W2E technologies, biomass biogas power generation and garbage incineration power generation, with photovoltaic and energy storage systems. A distributionally robust optimization (DRO) model for the waste-disposal-facilities-involved rural multi-energy system (W-RMES) is proposed. An ambiguity set of the photovoltaic output probability distribution is constructed by the Wasserstein metric. The minimum operation cost of W-RMES is solved under the condition that the prediction error of photovoltaic output obeys the worst probability distribution of the ambiguity set. Finally, through simulation verification, the rational utilization of waste can effectively realize the coordination and optimization between the waste disposal and multi-energy supply of electricity, heat, and biogas. Compared with the conventional rural energy system, W-RMES is more economical and eco-friendlier, which is reflected in the reduction of operation cost by >14.87 %, the removal of flue gas production by >12.89 % and the improvement of waste disposal capacity by >21.77 %. Besides, the model also realizes systemic coordination of robustness and economic efficiency. • Combined the rural multi-energy system with waste disposal facilities (W-RMES) • Considered two waste-to-energy technologies: anaerobic fermentation and incineration • The DRO method was used to deal with the uncertainty in W-RMES dispatching. • The W-RMES coordinated the waste disposal capacity and rural multi-energy supply. • The model realized systemic coordination of robustness and economic efficiency. [ABSTRACT FROM AUTHOR]