TY - GEN
T1 - Local detection of voltage imbalance in three-phase power systems based on PMU output
AU - Concepcion, Ricky
AU - Routtenberg, Tirza
AU - Tong, Lang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/23
Y1 - 2015/6/23
N2 - The problem of voltage imbalance detection in a three-phase power system using phasor measurement unit (PMU) data is considered within a hypothesis testing framework. A general model for the symmetrical sequences from a PMU measurement at off-nominal frequencies is presented. The new formulation takes into account the fact that minor degree of imbalance in the system is acceptable and does not indicate interruptions, failures, or degradation of physical components. Therefore, a generalization of the locally most powerful test (LMP), named the generalized LMP (GLMP) test, is developed for local detection in the presence of additional nuisance parameters. The GLMP concept is similar to that of the generalized likelihood ratio test (GLRT) and is obtained by substituting the maximum likelihood (ML) estimators of the nuisance parameters into the LMP test. The numerical performance analysis shows improved performance over benchmark techniques and detection performance robustness to ML estimation errors.
AB - The problem of voltage imbalance detection in a three-phase power system using phasor measurement unit (PMU) data is considered within a hypothesis testing framework. A general model for the symmetrical sequences from a PMU measurement at off-nominal frequencies is presented. The new formulation takes into account the fact that minor degree of imbalance in the system is acceptable and does not indicate interruptions, failures, or degradation of physical components. Therefore, a generalization of the locally most powerful test (LMP), named the generalized LMP (GLMP) test, is developed for local detection in the presence of additional nuisance parameters. The GLMP concept is similar to that of the generalized likelihood ratio test (GLRT) and is obtained by substituting the maximum likelihood (ML) estimators of the nuisance parameters into the LMP test. The numerical performance analysis shows improved performance over benchmark techniques and detection performance robustness to ML estimation errors.
KW - Generalized locally most powerful test (GLMP)
KW - phasor measurement unit (PMU)
KW - power system
KW - synchrophasor
KW - unbalanced power system
UR - http://www.scopus.com/inward/record.url?scp=84939133771&partnerID=8YFLogxK
U2 - 10.1109/ISGT.2015.7131898
DO - 10.1109/ISGT.2015.7131898
M3 - Conference contribution
AN - SCOPUS:84939133771
T3 - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015
BT - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015
PB - Institute of Electrical and Electronics Engineers
T2 - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015
Y2 - 18 February 2015 through 20 February 2015
ER -