Investigate the optimal performance of an energy hub using a predictive controller based on robust control
The issue of energy supply on the one hand and the environmental problems caused by the consumption of fossil fuels, on the other hand, have prompted researchers to turn to methods of reducing energy consumption as well as the use of renewable energy sources and hybrid vehicles. The time of several distributed generation units is optimal, but due to the uncertainties in phenomena such as solar radiation, to more accurately predict how the microgrid and its devices will work in the future to make appropriate decisions, a mechanism for processing and managing relevant data is. The answer to all these questions requires familiarity with a new concept called the "energy hub". Due to the wide scope of control of energy hub systems, in this article, while examining the definitions and concepts related to these systems, we have tried to design the control system so that the system is resistant to uncertainty and perturbation. The proposed method uses nonlinear predictive controllers. It is durable. Case study and simulation results in MATLAB software show well that the output variables of the modelled energy hub system have been able to be stable at a suitable time after input.
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