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Fuzzy Decision Model for a Smart Grid

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dc.description.abstract Electricity is vital for U.S. economy. Over the years, the demand and the usage of electricity have skyrocketed, but the electric transmission and distribution processes have been manual. The current work formulates an automated decision-making model for electric-grid resource allocation. Resource allocation is primarily in the form of assigning the best power source to a sink. The model is built in Fuzzy Logic. The input parameters for the model are the power capacity, the price and the distance. A rule base has been created by domain knowledge and analyzing an operator decision making activity. The Mamdani Min-Max approach of is used for defuzzification. A separate model based on Rough Set analysis has also been constructed to compare the results with Fuzzy model. The results obtained from both models show agreement in decision output and reveal the potential application areas of the Fuzzy model. en_US
dc.title Fuzzy Decision Model for a Smart Grid en_US
dc.date.accessioned 2012-03-26T21:14:46Z
dc.date.available 2012-03-26T21:14:46Z
dc.date.issued 2012-03-26
dc.identifier.uri http://hdl.handle.net/10365/19396
dc.thesis.degree Paper (M.S.)--North Dakota State University, 2012. en_US
dc.contributor.advisor Nygard, Kendall en_US
dc.subject.lcsh Smart power grids.
dc.subject.lcsh Fuzzy logic.
dc.subject.lcsh Rough sets.
dc.subject.lcsh Fuzzy decision making.
dc.subject.lcsh Electric power distribution.
dc.creator.author Baqui, Muhammad Niamul
dc.degree.departmentCollege Master of Science / Computer Science, College of Science and Mathematics, 2012.
dc.date.created 2012

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