Change search
ReferencesLink to record
Permanent link

Direct link
Dynamic fault-detection in shipboard electric load sharing.
Norwegian University of Science and Technology, Faculty of Engineering Science and Technology, Department of Marine Technology.
2013 (English)MasteroppgaveStudent thesis
Abstract [en]

The main contribution of this thesis is an investigation of dierent fault detection systems that can be used for marine diesel electric power plants. The motivation of this thesis is to develop fault detection systems that are capable of detecting governor and AVR actuator faults for a marine diesel electric power plant. Faster detection of these types of faults reduces the risk of blackout, and might also enable more ecient operation of marine diesel electric power systems. The studied system is a diesel electric power system consisting of three parallel connected gensets. The gensets share a common load sharing system and are run in droop mode. The gensets produce electric power, to supply the consumers on the vessel. A failure in the Governor or AVR, might cause all gensets to disconnect and hence cause a system blackout. Since diesel electric power systems are common for DP vessels, a blackout is a severe situation. If a failure occurs in one genset, this will in uence the operation of the other connected gensets. The failure source might therefore be dicult to detect. Better fault detection systems, might therefore enable faster and more reliable protection of the power system. In this thesis three fault detection systems are investigated. One of the fault detection systems is commonly used for marine power systems, and is based on the governor and AVR droop-curves. The two other fault detection systems are based on a simplied model of a marine diesel electric power system. The rst is based on an analytical redundancy relation derived from the system model. The other fault detection system, is based on a nonlinear Luenberger-type observer. To verify the performance of the fault detection systems, they are implemented in Matlab/Simulink. For this purpose, a more advanced power plant model is developed and implemented in Simulink. Simulations are run for several normal and faulty simulation modes. The fault detection systems perform well for all simulation modes, and are capable to detect the faults within reasonable time. iii

Place, publisher, year, edition, pages
Institutt for marin teknikk , 2013. , 156 p.
URN: urn:nbn:no:ntnu:diva-22224Local ID: ntnudaim:9267OAI: diva2:648679
Available from: 2013-09-16 Created: 2013-09-16 Last updated: 2013-09-16Bibliographically approved

Open Access in DiVA

fulltext(3665 kB)2959 downloads
File information
File name FULLTEXT01.pdfFile size 3665 kBChecksum SHA-512
Type fulltextMimetype application/pdf
cover(184 kB)9 downloads
File information
File name COVER01.pdfFile size 184 kBChecksum SHA-512
Type coverMimetype application/pdf
attachment(26972 kB)42 downloads
File information
File name ATTACHMENT01.zipFile size 26972 kBChecksum SHA-512
Type attachmentMimetype application/zip

By organisation
Department of Marine Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 2959 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 228 hits
ReferencesLink to record
Permanent link

Direct link