Date of Award

2012

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Computer Science

Department

Computer Science

College

Engineering

Faculty Advisor

Nygard, Kendall

Description

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.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/19396

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