Fuzzy-based scheduling of wind integrated multi-energy systems under multiple uncertainties

This paper presents a fuzzy-based scheduling model for addressing multiple uncertainties in the optimal scheduling of the wind integrated multi-energy systems (MES). Energy hub concept is an appropriate method for modeling of MES. However, the existence of various technical, economic, environmental, and social parameters in the optimal decision-making problem leads to the introduction of uncertainty in the scheduling. In this paper, uncertainty modeling in the optimal scheduling of the energy hub (OSEH) has been addressed in a fuzzy-based optimization framework. The impacts of uncertainties caused by energy demands, wind power generation and electricity price on the OSEH problem are analyzed. The reliability criteria such as the loss of energy expected and the equivalent loss factor are investigated to guarantee a secure operation. Finally, the proposed method is applied to a realistic model of the energy hub to validate the effectiveness of the proposed model. Numerical results show that the optimal operating cost in the deterministic scheme is valid only with a membership degree of 0.412, in the presence of uncertainty. Therefore, the energy hub models require realistic modeling of MES and addressing multiple uncertainties to achieve a comprehensive model of future sustainable energy systems.