Phasor measurement is a growth technology in the power grid industry. With new funding, grid reliability concerns, and power capacity margin motivating a smart grid transformation, phasor measurement and smart metering are taking center stage as the implementation methods for grid intelligence. This thesis proposes a novel concept for designing a next generation phasor measurement unit. The present generation phasor measurement unit relies upon venerable existing current and voltage transducer technology that is expensive, bulky, and not well suited to the modern age of digital and computerized control signals. Also, the rising proliferation of installed phasor measurement units will soon result in data overload and huge obligations for network bandwidth and processing centers. This brute-force approach is ill-advised. Forward thinking is required to foresee the future grid, its fundamental operation, and its sensor controller needs. A reasonably safe assumption is a future grid containing sensors numbering in the thousands or millions. This number of sensors cannot transmit raw data over the network without requiring enormous network capacity and data center processing power. This thesis proposes a novel concept—combining existing technologies such as improved current transducers and wireless precision time protocols to design a next generation phasor measurement unit. The unit is entirely self-contained. It requires no external connections due to inclusion of high performance transducers, processor, wireless radio, and even energy harvesting components. With easy, safe, and low cost installation, proliferation of thousands or millions of sensors becomes feasible. Also, with a scalable sensor network containing thousands or millions of parallel distributed processors, data reduction and processing within the network relieves the need for high bandwidth data transmission or supercomputing data centers.

Thesis (M.S.)--California Polytechnic State University, 2010. / Mode of access: Internet. Title from PDF title page; viewed on March 15, 2010. Major professor: Dr. David Braun. "Presented to the faculty of California Polytechnic State University, San Luis Obispo." "In partial fulfillment of the requirements for the degree [of] Master of Science in Electrical Engineering." "March 2010." Includes bibliographical references (p. 65-69).

Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Robert E. Looney, Maria Rasmussen. Includes bibliographical references (p. 55-57). Also available online.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2009. / Thesis Advisor(s): Buddenberg, Rex. "March 2009." Description based on title screen as viewed on April 24, 2009. Author(s) subject terms: Power Generation, Remote Network Node, Interoperability Network, Electric Generator, Wind Power, Solar Power, Photovoltaic, Thermoelectric, Energy Storage, Fuel Cell, Hybrid Power, Power Monitoring, Power Management. Includes bibliographical references (p. 117-120). Also available in print.

Thesis (Ph.D.)--University of California, Davis, 2008. / Adviser: Rajeevan Amirtharajah. Includes bibliographical references.

Thesis (M.A.)--Western Kentucky University, 2009. / Includes bibliographical references (leaves 57-63).

Thesis (Ph. D.)--University of Wisconsin--Madison, 1987. / Typescript. Vita. Description based on print version record. Includes bibliographical references (leaves 134-137).

Thesis (M.A.) in History--University of Maine, 2003. / Includes vita. Includes bibliographical references (leaves 69-71).