A study of energy management predictive control of ship hybrid power system
To address the issues of control stability,energy saving and emission reduction in hybrid power systems,the role of model predictive control in ship energy management is clarified,and the current status and trends of the research are analyzed.First,based on CiteSpace,a visual analysis of ship energy management is performed to de-termine the development of ship energy management,and the importance of model prediction control in ship energy management is revealed by comparative analysis of different energy management strategies.Then,the model predic-tive control method of ship energy management is summarised from three aspects:predictive modelling,optimisation goal and constraint and solution and improvement strategies.Furthermore,future research on predictive control of ship energy management is discussed in terms of energy management strategies based on renewable energy sources,standardisation of modelling and validation,synergistic optimisation and multi-dimensional evaluation.The results show that model predictive control has important potential in the real-time control of complex power systems,such as smart and multi-energy ships.Combining other algorithms to perform multi-objective algorithm fusion is an im-portant way to improve control accuracy and computational real-time performance,and conducting multi-dimension-al tests and evaluations is conducive to promoting the application of the strategy to ships.
hybrid powership energy efficiencyenergy managementmodel predictive controlCiteSpacevisual analysispredictive modelingoptimization algorithm
国家科技期刊平台
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