DocumentCode :
2888994
Title :
Local detection of voltage imbalance in three-phase power systems based on PMU output
Author :
Concepcion, Ricky ; Routtenberg, Tirza ; Lang Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
maximum likelihood estimation; phasor measurement; statistical testing; GLMP; GLRT; ML estimation errors; PMU measurement; generalized LMP test; generalized likelihood ratio test; hypothesis testing framework; locally most powerful test; maximum likelihood estimator; nuisance parameters; numerical performance analysis; phasor measurement unit; symmetrical sequences; three-phase power system; voltage imbalance detection; Detectors; Frequency estimation; Maximum likelihood estimation; Phasor measurement units; Power systems; Testing; Voltage measurement; Generalized locally most powerful test (GLMP); phasor measurement unit (PMU); power system; synchrophasor; unbalanced power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131898
Filename :
7131898
Link To Document :
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