MATLAB/Simulink Simulation model accompanying publication: Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting
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The provided optimization scripts were used in the case study and creation of results, accompanying the publication: Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load ForecastingThe scripts are made public to act as supplementary data to the published article, recreation of results and to support other researchers for further developments in the field.The provided code implements a plant model of a FC-battery ship power system and a predictive energy management strategy to find an optimal power allocation for mid-length time intervals. The model predictive controller (MPC) is intended to use inputs from data-driven load predictions to optimize the power allocation.The system can be run in three modes: predictive control/MPC, instantaneous optimization/ECMS, and filter-based control, to compare the performance of different approaches. The load prediction can be selected to assume a constant load, assume a perfect load prediction or use externally provided data-driven load forecasts.Measurement data and load predictions are not included due to confidentiality, but any arbitrary load profile matching the totally installed …
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