Optimization Scheduling of Multi-Battery Energy Storage System and Interruptible Load With Iterative Adaptive Dynamic Programming

Both randomness and fluctuations of wind power and solar energy pose new challenges to the optimization of microgrid economic scheduling. In the real-time scheduling of microgrid, multi-battery energy storage system (BESS) charging and discharging electric power can regulate the supply side and load side of the microgrid to achieve the purpose of load balance. Cutting off interruptible load (IL) is another important measure in microgrid scheduling. In this paper, a dynamic scheduling model including wind turbine, photovoltaic, multi-BESS, and IL is constructed to fully excavate the regulating ability of supply side and load side aiming at minimizing the operational cost of microgrid. In order to solve "curse of dimensionality" problem, an iterative adaptive dynamic programming (ADP) algorithm is proposed to find the optimal solution of the model. In case study, the optimization results of microgrid scheduling model with and without IL are analyzed, the results show that the microgrid model with IL has a good effect in scheduling which can reduce the operational cost of the microgrid effectively.