Energy Hub Management by Using Decentralized Robust Model Predictive Control

Energy hub systems are the centralized unit for conversion and storage of various energy carriers. For the EH in operation mode the amount of energy carriers should be purchased, converted and stored per hour are critical, till consumers demand is satisfied with the least expense. Today model predictive control is an efficient method to solve this problem, but this controller does not show a high performance in the presence of uncertainty. In this paper, in order to overcome this weakness, the system is modeled as a decentralized model and uncertainty due to the wind turbine's power generation considered in to the model as a parametric uncertainty. Finally it is used in a section having uncertainty of robust model predictive controller. The simulation results show the effectiveness of the proposed method for this system's operation issue.