Keywords and Phrases
"Voltage instability has become a growing concern in the operation of power systems in recent years. The reason is that power systems all over are being operated with reduced margins because of increased demand exacerbated by a general reluctance to invest in improvement of the electric grid infrastructure. Until recently it was difficult to predict voltage instability in the on-line environment. However, advances in technology has made possible the on-line monitoring and assessment of voltage stability. Synchrophasors is a relatively new technology in the field of power systems which allows system operators to monitor the system conditions at specific measurement locations of the network. Synchrophasors measure voltage and current phasors with accurate time stamping with respect to Global Positioning System (GPS) clock reference. Because of the accurate time stamping, it becomes possible to compare the phasors in time. A novel voltage stability prediction algorithm using synchrophasors is proposed in this thesis. Synchrophasor data is used to perform a fast state estimation of the system. This is a departure from conventional SCADA-based state estimation. The traditional method of VQ analysis for voltage stability is put to use in this algorithm to estimate the voltage stability margin. Since we are incorporating the synchrophasor information for which the data refresh rate is fast, the algorithm being developed is proposed for on-line stability assessment. The algorithm is tested on the CIGRE 10-bus system. The results are validated using the well-known modal analysis method"--Abstract, page iii.
Chowdhury, Badrul H.
Kimball, Jonathan W.
Electrical and Computer Engineering
M.S. in Electrical Engineering
Missouri University of Science and Technology
ix, 70 pages
© 2011 Himanshu Subandhu Hirlekar, All rights reserved.
Thesis - Open Access
Global Positioning System
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Hirlekar, Himanshu Subandhu, "Towards on-line voltage stability assessment using synchrophasors" (2011). Masters Theses. 4933.