4.6 Article

Battery Power Smoothing Control in a Marine Electric Power Plant Using Nonlinear Model Predictive Control

Journal

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 25, Issue 4, Pages 1449-1456

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2016.2601301

Keywords

Battery management systems; optimal control; statistical analysis; stochastic model predictive control (MPC); temperature control

Funding

  1. project design to verification of control systems for safe and energy efficient vessels with hybrid power plants (D2V), Research Council of Norway [210670/070, 223254/F50]
  2. Research Council of Norway through the Center of Excellence [223254-NTNU AMOS]

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This brief presents a power variation smoothing method using batteries on a weak ship grid. For some marine vessels, power fluctuations on the ac grid are large. This results in the large variations in the electrical frequency of the grid and excessive wear and tear of the power producers. Adding batteries connected to a dc/ac drive to smooth out the power fluctuations has been suggested. However, due to the large amount of fluctuation, batteries can overheat. Therefore, we suggest using a bandpass filter with the cutoff frequency parameters optimized by a model predictive control based on a power spectral density estimate of power consumption for disturbance prediction.

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