A Model Predictive Control Approach for Reconfigurable Battery Energy Storage Systems

In order to cope with the problem of low availability of energy storage plants due to the need to shut down and repair the whole battery in case of battery failure in traditional energy storage plants, this paper proposes a model predictive control method for reconfigurable battery energy storage systems. Using the reconfigurable energy storage system battery topology can realize flexible series-parallel connection characteristics, and the model predictive control method is applied to the reconfigurable energy storage system, constituting a reconfigurable energy storage system based on the model predictive control method. The flexibility of the energy storage system can be improved by utilizing the access of reconfigurable batteries. Meanwhile, the model predictive control method of Dual Active Bridge (DAB) is introduced into the reconfigurable battery energy storage system, so that the system can be quickly adjusted in the face of different unexpected working conditions, which enhances the stability and availability of the battery energy storage system. Simulations show that the proposed model predictive control method for reconfigurable battery energy storage system can cope with different unexpected working conditions of the system and effectively improve the stability and availability of the battery energy storage system.