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Title: Application of Advanced Wide Area Early Warning Systems with Adaptive Protection

Abstract

Recent blackouts of power systems in North America and throughout the world have shown how critical a reliable power system is to modern societies, and the enormous economic and societal damage a blackout can cause. It has been noted that unanticipated operation of protection systems can contribute to cascading phenomena and, ultimately, blackouts. This project developed and field-tested two methods of Adaptive Protection systems utilizing synchrophasor data. One method detects conditions of system stress that can lead to unintended relay operation, and initiates a supervisory signal to modify relay response in real time to avoid false trips. The second method detects the possibility of false trips of impedance relays as stable system swings “encroach” on the relays’ impedance zones, and produces an early warning so that relay engineers can re-evaluate relay settings. In addition, real-time synchrophasor data produced by this project was used to develop advanced visualization techniques for display of synchrophasor data to utility operators and engineers.

Authors:
 [1];  [1];  [2];  [2];  [3];  [3];  [4];  [5]
  1. Univ. of California, Berkeley, CA (United States)
  2. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  3. Mississippi State Univ., Mississippi State, MS (United States)
  4. Southern California Edison Co., Rosemead, CA (United States)
  5. Pacific Gas & Electric Co., San Francisco, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Oakland, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1184190
DOE Contract Number:  
OE0000120
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Blumstein, Carl, Cibulka, Lloyd, Thorp, James, Centeno, Virgilio, King, Roger, Reeves, Kari, Ashrafi, Frank, and Madani, Vahid. Application of Advanced Wide Area Early Warning Systems with Adaptive Protection. United States: N. p., 2014. Web. doi:10.2172/1184190.
Blumstein, Carl, Cibulka, Lloyd, Thorp, James, Centeno, Virgilio, King, Roger, Reeves, Kari, Ashrafi, Frank, & Madani, Vahid. Application of Advanced Wide Area Early Warning Systems with Adaptive Protection. United States. https://doi.org/10.2172/1184190
Blumstein, Carl, Cibulka, Lloyd, Thorp, James, Centeno, Virgilio, King, Roger, Reeves, Kari, Ashrafi, Frank, and Madani, Vahid. 2014. "Application of Advanced Wide Area Early Warning Systems with Adaptive Protection". United States. https://doi.org/10.2172/1184190. https://www.osti.gov/servlets/purl/1184190.
@article{osti_1184190,
title = {Application of Advanced Wide Area Early Warning Systems with Adaptive Protection},
author = {Blumstein, Carl and Cibulka, Lloyd and Thorp, James and Centeno, Virgilio and King, Roger and Reeves, Kari and Ashrafi, Frank and Madani, Vahid},
abstractNote = {Recent blackouts of power systems in North America and throughout the world have shown how critical a reliable power system is to modern societies, and the enormous economic and societal damage a blackout can cause. It has been noted that unanticipated operation of protection systems can contribute to cascading phenomena and, ultimately, blackouts. This project developed and field-tested two methods of Adaptive Protection systems utilizing synchrophasor data. One method detects conditions of system stress that can lead to unintended relay operation, and initiates a supervisory signal to modify relay response in real time to avoid false trips. The second method detects the possibility of false trips of impedance relays as stable system swings “encroach” on the relays’ impedance zones, and produces an early warning so that relay engineers can re-evaluate relay settings. In addition, real-time synchrophasor data produced by this project was used to develop advanced visualization techniques for display of synchrophasor data to utility operators and engineers.},
doi = {10.2172/1184190},
url = {https://www.osti.gov/biblio/1184190}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 30 00:00:00 EDT 2014},
month = {Tue Sep 30 00:00:00 EDT 2014}
}