Market-oriented energy management of a hybrid power system via model predictive control with constraints optimizer

This paper presents a market-oriented energy management system (EMS) for a hybrid power system composed of a wind energy conversion system and battery energy storage system (BESS). The EMS is designed as a real-time model predictive control (MPC) system. The EMS dispatches the BESS to achieve the maximum net profit from the deregulated electricity market. Further, the EMS aims at expanding the BESS lifetime by applying typical and practical constraints in the MPC problem on both the daily number of cycles (DNC) and depth of discharge (DOD). MPC constraints optimizer is designed to tune the lifetime constraints optimally. It guarantees the optimal economic profit by finding the optimal DNC and DOD that achieve the maximum market revenue with the minimal life expended cost. The effectiveness of this work is all verified by comparison with conventional MPC used in previous works.