Dynamic fault-detection in shipboard electric load sharing.
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.
Place, publisher, year, edition, pages
Institutt for marin teknikk , 2013. , 156 p.
IdentifiersURN: urn:nbn:no:ntnu:diva-22224Local ID: ntnudaim:9267OAI: oai:DiVA.org:ntnu-22224DiVA: diva2:648679
Skjetne, Roger, Professor