Reliable parameter identification for synchronous machines
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https://hdl.handle.net/10037/13470View/ Open
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Date
2018-08-16Type
Master thesisMastergradsoppgave
Author
Alves, Erick FernandoAbstract
This work investigates and implements algorithms for reliable parameter identification for salient pole synchronous machines that can be used for condition monitoring, on line assessment of the power grid, and adaptive control. All these applications are steps necessary to enable a smarter power grid, in which seamless integrated digital technology provides state estimation, fault detection, and self-healing functionalities, with the ultimate goal of ensuring a reliable supply of electricity, and reducing vulnerability to natural disasters or attacks.
Publisher
UiT Norges arktiske universitetUiT The Arctic University of Norway
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Copyright 2018 The Author(s)
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