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

被引:43
|
作者
Bo, Torstein Ingebrigtsen [1 ]
Johansen, Tor Arne [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Engn Cybernet, Ctr Autonomous Marine Operat & Syst, N-7491 Trondheim, Norway
关键词
Battery management systems; optimal control; statistical analysis; stochastic model predictive control (MPC); temperature control; HYBRID ENERGY-STORAGE; MANAGEMENT; SYSTEM; STATE; FLUCTUATIONS;
D O I
10.1109/TCST.2016.2601301
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1449 / 1456
页数:8
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