Trading Strategy in Energy Hub:Scheduling Multi-Energy Systems Optimization Based on Demand Response

multi-energy systems (MES) have emerged as a vital solution for integrating and optimizing various energy sources, such as electricity, heating, and cooling, within energy markets. This paper proposes a method that leverages advanced energy management techniques to assess the performance of energy hubs (EHs) on the demand side. The EH, which integrates key components such as wind turbines (WTs), energy storage systems (ESS), and combined heat and power (CHP) units, is designed to meet the demand for electricity, heating, and cooling. A critical aspect of the optimization involves implementing demand response programs (DRPs) specifically tailored to electrical demand, which help in adjusting consumption patterns to reduce costs. The results of the study demonstrate the substantial flexibility offered by effective EH management, enabling a more dynamic response to fluctuating energy demands. Through detailed simulations, the study shows that incorporating renewable energy sources (RES) and demand response strategies can achieve 2226.2 dollars reduction in the operating costs of EHs.