A real-time energy management method for electric-hydrogen hybrid energy storage microgrid based on DP-MPC

Abstract

With increasing presence of intermittent energy resource in microgrid, it is so difficult to precisely predict the output of renewable resources and the load demand. In order to realize the economical operation of the system, an energy management method based on model predictive control (MPC) and dynamic programming (DP) algorithm is proposed. This method can reasonably distribute the energy of battery, fuel cell, electrolyzer and external grid, and maximize the output of distributed power supply while ensuring the power balance and cost optimization of the system. Based on the ultra-short-term forecast, the output power of photovoltaic array and the demand power of system load are predicted. The off-line global optimization of traditional dynamic programming is replaced by the repeated rolling optimization in a limited period of time to obtained power values of each unit in the energy storage system. Compared with the traditional DP, MILP-MPC and the logic based real-time management method, the proposed energy management method is proved to be feasible and effective.