Distributed Energy Management Method With EEOI Limitation for the Ship-Integrated Energy System

The ship-integrated energy system (S-IES), containing power and heating networks, plays a vital role in combining renewable technologies and conventional generators to advocate the protection of environmental awareness in the marine industry. To this end, the energy management problem (EMP) of the S-IES is investigated in this article. In this way, a load demand forecasting strategy with the ensemble learning system model is proposed to predict the energy consumption in a sailing voyage. Moreover, a multiobjective energy management model is constructed to depict the tradeoff between consumption costs and the energy efficiency operation index. Then, a distributed energy management method with the event-triggered mechanism is designed to solve the EMP of S-IES. With this method, each energy participant only needs to receive/send local information from/to its neighbors and achieves discrete-time information communication, eliminating the limitation of communication resources for ships. Rigorous theoretical analysis and simulation results prove that the distinct objectives are coordinated and that the effectiveness of the proposed method is guaranteed.