Battery Management in Integrated Energy System using Robust Model Predictive Control

Renewable energy become a larger player among emerging smart electrical grid and due to the intermitted nature of renewable energy systems and fluctuating demand profiles, call for storage solutions and appropriate control strategies are necessary. So, the battery management system (BMS) is a main component of hybrid energy system and makes an important role in development of storage systems. In this work, we propose a BMS to guarantee charge and discharge control under different environmental conditions that is much harder to predict and it poses a challenge to the implementation of desired state of the charge for battery. Since forecasts never are prefect, to evaluation the state of a battery, robust model predictive control (RMPC) is used. Simulations are carried to illustrate and comparison applicability of open loop and close loop RMPC for keeping state of a battery at desirable level with respect to uncertainties that affected the battery bank system.

کلیدواژه ها:

Battery management system (BMS) ، state of the charge ، robust model predictive control ، smart grid