Robust Optimization Approach for Generation Scheduling of a Hybrid Thermal-Energy Storage System

In this paper, a new framework for optimal generation scheduling of a hybrid thermal-energy storage (HTES) system is proposed. The proposed generation scheduling is formulated based on the profit maximization of the HTES system, concentrating on taking part in the energy market. The proposed hybrid structure integrates energy storage system (ESS) and thermal units in the form of a hybrid system in a way that a physical connection between these two resources is installed. This physical connection lets the HTES operator charge the ESS through thermal units while it is economical. In order to efficiently address the generation scheduling problem in the presence of market uncertainty, a robust optimization architecture is suggested. The proposed robust model is capable of deriving conservative strategies that are robust against the energy market uncertainty. The formulation of the considered robust problem is carried out based on mixed-integer programming (MIP) and is solved via general algebraic modeling system (GAMS) software.