Year of Publication
Master of Electrical Engineering (MEE)
Electrical Engineering and Computer Science
Dr. Yuan Liao
Fault detection and location algorithms have allowed for the power industry to alter the power grid from the traditional model to becoming a smart grid. This thesis implements an already established algorithm for detecting faults, as well as an impedance-based algorithm for detecting where on the line the fault has occurred and develops a smart algorithm for future HDL conversion using Simulink. Using the algorithms, the ways in which this implementation can be used to create a smarter grid are the fundamental basis for this research. Simulink was used to create a two-bus power system, create environment variables, and then Matlab was used to program the algorithm such that it could be FPGA-implementable, where the ways in which one can retrieve the data from a power line has been theorized. This novel approach to creating a smarter grid was theorized and created such that real-world applications may be further implemented in the future.
Yeoman, Christina, "FPGA TO POWER SYSTEM THEORIZATION FOR A FAULT LOCATION AND SPECIFICATION ALGORITHM" (2013). Theses and Dissertations--Electrical and Computer Engineering. 21.