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You searched for subject:(Phase Angle Algorithm). Showing records 1 – 2 of 2 total matches.

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Virginia Tech

1. Xia, Tao. Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development.

Degree: PhD, Electrical and Computer Engineering, 2009, Virginia Tech

The Internet Based real-time GPS synchronized wide-area Frequency Monitoring Network (FNET) is an extremely low cost and quickly deployable wide-area frequency measurement system with high dynamic accuracy which consists of Frequency Disturbance Recorder (FDR) distributed to more than 100 places around North America and an Information Management System situated at Virginia Tech. Since its first FDR deployment in 2003, the FNET system has been proved to be able to reliably receive phasor data accurately measured at and instantaneously sent via the Internet from different locations of interest, and efficiently run the analyzing program to detect and record significant system disturbances and subsequently estimate the location of disturbance center, namely the event location, in the electric grid based on the information gathered. The excellent performance of the FNET system so far has made power grid situation awareness and monitoring based on distribution level frequency measurements a reality, and thus advances our understanding of power system dynamics to a higher level and in a broader dimensionality. Chapter 1 and Chapter 2 of this dissertation briefly introduce the genesis and the architecture of the FNET system, followed by a summary of its concrete implementations. Chapter 3 and Chapter 4 outline FNET frequency estimation algorithm and phase angle estimation algorithm, including their attributes and the new methodologies to enhance them. In Chapter 5, the report discusses the algorithms developed at FNET to detect the frequency disturbance and estimate the disturbance location by the triangulation procedure using real-time frequency data and geographic topology of the FNET units in the power grid where the disturbance occurs. Then, the dissertation proceeds to introduce the FNET angle-based power system oscillation detection and present some research about Matrix Pencil Modal Analysis of FNET phase angle oscillation data in the following two chapters. Lastly, the content of this report is summarized and the future work envisioned in Chapter 8. Advisors/Committee Members: Liu, Yilu (committeechair), Leech, Irene E. (committee member), Conners, Richard W. (committee member), De La Ree Lopez, Jaime (committee member), Centeno, Virgilio A. (committee member).

Subjects/Keywords: FNET; Event Location Estimation; Modal Analysis; Phase Angle Algorithm; Angle-based Oscillation Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xia, T. (2009). Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77296

Chicago Manual of Style (16th Edition):

Xia, Tao. “Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development.” 2009. Doctoral Dissertation, Virginia Tech. Accessed April 22, 2019. http://hdl.handle.net/10919/77296.

MLA Handbook (7th Edition):

Xia, Tao. “Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development.” 2009. Web. 22 Apr 2019.

Vancouver:

Xia T. Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development. [Internet] [Doctoral dissertation]. Virginia Tech; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/10919/77296.

Council of Science Editors:

Xia T. Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development. [Doctoral Dissertation]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/77296

2. Ivarsson, Johanna. Improvement of Commutation Failure Prediction in HVDC Classic Links.

Degree: Division of Electrical and Automation Engineering, 2011, University West

In this thesis, an evaluation of the existing control system for ABB: s HVDC Classic Links is performed in order to investigate whether a possible improvement to commutation failure prediction is possible and to be recommended. The thesis starts with a theoretical approach to the complexity of consequences of increasing the extinction angle (γ) in order to prevent commutation failure in inverter operation, which is later confirmed through using the simulation software PSCAD to evaluate coherence between simulation results and theory. Dynamic power studies are performed through simulations in the electromagnetic time domain transient tool PSCAD in order to establish a possible improvement to the existing commutation failure prediction today used in ABB control systems for HVDC applications.

Subjects/Keywords: HVDC; commutation; failure prediction; failure prevention; classic; inverter; algorithm concept; PSCAD; simulations; converter; phase shifts; extinction angle; Other Electrical Engineering, Electronic Engineering, Information Engineering; Annan elektroteknik och elektronik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ivarsson, J. (2011). Improvement of Commutation Failure Prediction in HVDC Classic Links. (Thesis). University West. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-3257

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ivarsson, Johanna. “Improvement of Commutation Failure Prediction in HVDC Classic Links.” 2011. Thesis, University West. Accessed April 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-3257.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ivarsson, Johanna. “Improvement of Commutation Failure Prediction in HVDC Classic Links.” 2011. Web. 22 Apr 2019.

Vancouver:

Ivarsson J. Improvement of Commutation Failure Prediction in HVDC Classic Links. [Internet] [Thesis]. University West; 2011. [cited 2019 Apr 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-3257.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ivarsson J. Improvement of Commutation Failure Prediction in HVDC Classic Links. [Thesis]. University West; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-3257

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.