2021/05/20 by Mehrzad Mohammadi Bijaieh, Bijaieh, Mehrzad Mohammadi, Satish Vedula +3 · 1 citation
Engineering · Environmental Science · #FOS: Electrical engineering #FOS: Mathematics #Maritime Transport Emissions and Efficiency #Microgrid Control and Optimization #Multilevel Inverters and Converters #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2105.10038
openalex publication_date 2021/05/20 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
In current Medium Voltage DC (MVDC) Shipboard Power Systems (SPSs), multiple\nsources exist to supply power to a common dc bus. Conventionally, the power\nmanagement of such systems is performed by controlling Power Generation Modules\n(PGMs) which include fuel operated generators and underlying converters.\nMoreover, energy management is performed by the emerging single or hybrid\nEnergy Storage Systems (ESSs). This paper presents a model and load predictive\ncontrol framework for power and energy management of SPSs. Here, MPC with load\nprediction is used for three main objectives: (1) to request power and energy\nfrom generators and energy storage elements according to their individual State\nof Power (SOP) and ramp-rate limitations, (2) to consider and integrate the\ngenerator cost and degradation, and (3) to reach a specific parking (final)\nState of Charge (SOC) for the ESSs at the end of the prediction horizon. The\nsolution of the optimization problem is demonstrated using MATLAB and the\nfunctionality of the control framework is validated in real-time simulation\nenvironment.\n