TY - GEN
T1 - Comparison of various power system electromechanical mode estimators
AU - Kokanos, B. L.
AU - Karady, G. G.
PY - 2011/10/5
Y1 - 2011/10/5
N2 - Research has shown that small signal stability detection in power systems could become more critical as large renewable resources come on-line and replace more traditional generation facilities. Simultaneously, the proliferation of long term recording equipment to detect small signal stability problems have allowed engineers a greater view into the small signal phenomenon. However, collected field data can be subject to noise contamination as well as other effects making stability assessment a challenge. In this paper a recently proposed small signal estimator is compared to other prediction algorithms under various test conditions. The purpose of this comparative assessment is to judge the relative performance amongst these estimators in predicting small signal stability with and without noise present within artificial measurements. Results show the new estimator can outperform the other algorithms under simulated conditions for stationary signals but its limited for non-stationary signals.
AB - Research has shown that small signal stability detection in power systems could become more critical as large renewable resources come on-line and replace more traditional generation facilities. Simultaneously, the proliferation of long term recording equipment to detect small signal stability problems have allowed engineers a greater view into the small signal phenomenon. However, collected field data can be subject to noise contamination as well as other effects making stability assessment a challenge. In this paper a recently proposed small signal estimator is compared to other prediction algorithms under various test conditions. The purpose of this comparative assessment is to judge the relative performance amongst these estimators in predicting small signal stability with and without noise present within artificial measurements. Results show the new estimator can outperform the other algorithms under simulated conditions for stationary signals but its limited for non-stationary signals.
KW - doubly fed induction generators
KW - full converter generators
KW - phasor measurement units
KW - power system dynamics
KW - power system simulation
KW - small signal stability
UR - http://www.scopus.com/inward/record.url?scp=80053341800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053341800&partnerID=8YFLogxK
U2 - 10.1109/PTC.2011.6019449
DO - 10.1109/PTC.2011.6019449
M3 - Conference contribution
AN - SCOPUS:80053341800
SN - 9781424484195
T3 - 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011
BT - 2011 IEEE PES Trondheim PowerTech
T2 - 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011
Y2 - 19 June 2011 through 23 June 2011
ER -