Date of Graduation
12-2018
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
Degree Level
Graduate
Department
Electrical Engineering
Advisor/Mentor
McCann, Roy A.
Committee Member
Balda, Juan C.
Second Committee Member
Roe, Larry A.
Keywords
FACTS; Power Systems; Reactive Power Consumption
Abstract
The world revolves around energy and the energy sector is continually transforming and evolving. The status quo has been set by governing agencies in the United States for completely reliable power. The demand for energy efficiency continually rises for multiple reasons. Technology has improved for all sectors of the power grid, including renewable energy sources, fault protection, and SMART grid technology. The addition of new energy sources has led to the decommissioning of inefficient energy sources. The implementation of new technologies and power load on a large scale, coupled with the removal of grid stabilizers has posed different challenges that have been overcome using Flexible AC Transmission System devices or FACTS. FACTS devices increase power quality, reliability and efficiency of a power grid, if implemented correctly. With several different FACTS devices, the many power grid situations and FACTS combinations must be methodically tested and planned. ETAP and MATLAB/SIMULINK simulate designed power systems accurately with the additional functionality to model FACTS. The simulation of the IEEE nine bus model with potentially problematic variations applied show that FACTS components are required. The simulation show that the power factor and energy efficiency increased with FACTS. The avoidance of blackouts with fault recovery was made plausible, with less overshoot and quicker convergence time. Finally, combining FACTS can increase the revitalization of the power grid through the replacement of polluting generation to renewable generation.
Citation
Wall, R. (2018). Intelligent Application of Flexible AC Transmission System Components in an Evolving Power Grid. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/3043