Grid-connected energy hubs in the coordinated multi-energy management based on day-ahead market framework

Abstract

This paper presents the coordinated energy hubs energy management in different networks based on the cooperation of hubs in day-ahead (DA) markets. The proposed model connects the electrical, natural gas and district heating networks by considering the electrical, natural gas as the hub's input, and electrical and district heating energies for the output of hubs. In this study, combined heat and power (CHP) and electrical storage systems, boiler, electric vehicles (EVs) parking lot and renewable energy sources (RESs) are considered in the context of energy hubs. In the process, the linear coordinated energy management problem includes a single linear objective function that is aimed at maximizing hubs profit in the DA market while considering linear networks and hubs constraints. Moreover, this model is taken into account uncertainty in different loads, DA market energy price, RES output power, and EVs parameters. Hence, the proposed problem is formulated as a scenario-based stochastic model using Monte Carlo simulation (MCS) for scenario generating and the fast backward/forward scenario reduction method for scenario reducing. Finally, this model is applied to a test system in the GAMS software environment, and the capacity and validity of proposed hubs energy management are investigated. Finally, simulation results confirm the efficiency of the hub coordinated energy management in the DA market.