Nonlinear Model Predictive Control of Photovoltaic-Battery System for Short-Term Power Dispatch

The paper focuses on developing power flow control strategy for electricity end users installed with photovoltaic-battery systems. The control objective is to reduce the overall cost to the end users while meeting the users' load demands. By taking into consideration the cost associated with the degradation of the battery, a nonlinear model predictive control technique is used to determine the short-term power exchange with the external grid system. The formulated nonlinear optimization problem is solved using dynamic programming technique, and an algorithm is developed to reduce the computational load. Numerical examples show the efficacy of the proposed method.