DocumentCode
3295632
Title
Small-signal methods for electric ship power systems
Author
Sun, Jian
Author_Institution
Dept. of Electr., Rensselaer Polytech. Inst., Troy, NY
fYear
2009
fDate
20-22 April 2009
Firstpage
44
Lastpage
52
Abstract
This paper presents an overview of small-signal analysis methods applicable to shipboard power systems that use ac as the primary form of power distribution. Future electric ship power systems will arguably be power electronic systems due to wide-spread use of power electronic circuits and control. The inherent nonlinear behavior of switching power converters coupled with the time-varying operation trajectory of ac power systems represents a major difficulty for small-signal analysis of such systems, namely, traditional small-signal linearization techniques cannot be directly applied to develop linear, time-invariant system models. Possible solutions to this problem include modeling using dynamic phasors, transformation into a rotating (dq) reference frame, reduced-order modeling, and harmonic linearization. This paper provides an overview of these methods and discusses their utilities as well as limitations for shipboard power system stability and power quality analysis.
Keywords
power distribution; power electronics; power supply quality; power system stability; ships; switching convertors; AC power systems; electric ship power systems; harmonic linearization; power distribution; power electronic systems; power quality analysis; reduced-order modeling; shipboard power system stability; small-signal linearization techniques; switching power converters; time-invariant system models; time-varying operation trajectory; Circuits; Marine vehicles; Power distribution; Power electronics; Power system analysis computing; Power system control; Power system dynamics; Power system harmonics; Power system modeling; Power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Ship Technologies Symposium, 2009. ESTS 2009. IEEE
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4244-3438-1
Electronic_ISBN
978-1-4244-3439-8
Type
conf
DOI
10.1109/ESTS.2009.4906492
Filename
4906492
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