AUTHOR=Zhang Yuxin , Shan Qihe , Teng Fei , Li Tieshan 

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

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 9 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2021.720374

DOI=10.3389/fenrg.2021.720374

ISSN=2296-598X

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