Operation of Energy Hub using Robust Model Predictive Control considering Uncertainties of Forecasted Electrical Loads

Multi-carrier systems have a number of physical nodes which are called energy hub, providing energy for consumers. Energy hub converts and stores energy as well. Recently, Model Predictive Control has been widely used to efficiently control Hubs. MPCs show no high performance facing to system uncertainties. In this paper to address this weakness, uncertainties of forecasted electrical loads has been added as disturbance to the state-space model of the system. Then LMI based Robust Model Predictive Controller studied on the EH consisting of transformer, boiler, CHP, electrical and heat storages considering demand side management. As simulation results show, Robust predictive controller carry outs more precise planning for the system than predictive controller, whilst uncertainty exists.