000010733 001__ 10733
000010733 005__ 20241024114739.0
000010733 0247_ $$2doi$$a10.24868/10733
000010733 245__ $$aIntelligent Control of Multiple Small Electric Generator Sets
000010733 269__ $$a2022-10-13
000010733 336__ $$aConference Proceedings
000010733 520__ $$aHistorically, ships have relied on large diesel and gas-turbine generators to supply electrical power. The loads deployed have been largely continuous and predictable allowing the generators to be run efficiently while maintaining acceptable power quality. Future electrical loads may operate with much less predictability and simply scaling up the size or even the number of large generators may not be the most effective way to meet this demand. Instead, it could be much more feasible to install more smaller generators that can be actively controlled according to priorities set by the power system operator. If controlled properly, it is possible to optimize efficiency, reduce maintenance costs, and increase usable life. Integration of energy storage may provide ride through support required to bring up additional generation in the event of an outage. In the work documented here, intelligent control is being used to study this approach for optimizing multiple small generators.
000010733 542__ $$fCC-BY
000010733 6531_ $$aMicrogrid
000010733 6531_ $$aMV Power Distribution
000010733 6531_ $$aPower System Control
000010733 6531_ $$aPower Electronics
000010733 6531_ $$aEnergy Storage
000010733 7001_ $$aJohnston, A$$uUniversity of Texas at Arlington
000010733 7001_ $$aWetz, D$$uUniversity of Texas at Arlington
000010733 7001_ $$aJennings, N$$uUniversity of Texas at Arlington
000010733 7001_ $$aScoggin, S$$uUniversity of Texas at Arlington
000010733 773__ $$tConference Proceedings of iSCSS
000010733 773__ $$jiSCSS 2022
000010733 8564_ $$99778641f-05e5-45fb-8b35-104afadad709$$s2721231$$uhttps://library.imarest.org/record/10733/files/10733.pdf
000010733 980__ $$aConference Proceedings