Distributed Economic Optimal Scheduling Scheme for Ship-Integrated Energy System Based on Load Prediction Algorithm

In order to enhance navigation safety and promote environmental protection, this paper takes the problem of energy management in a ship-integrated system into consideration. According characteristics navigation, an intelligent ship model, simultaneously considering social economic benefits, has been proposed. Meanwhile, analyzes distributed optimal scheduling which considers renewable generation devices storage system. Combined with electricity-power thermal-power system, we propose scheme accurately meet actual load demand based on pre-results analyzed by ensemble learning short-term forecasting algorithm. addition, related stability analysis is given. Further, series simulation results have presented, denote that proposed algorithm can analyze trend, optimization effectively coordinate protection.