Title :
High breakdown point estimation in electric power systems
Author :
Mili, L. ; Phaniraj, V. ; Rousseeuw, P.J.
Author_Institution :
Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
The application of the least mean square estimator to electric power systems is addressed. This is a high-breakdown point estimator developed by P.J. Rousseeuw (1984). The estimator is solved through resampling techniques in conjunction with fast decoupled methods and simple observability checks. Concepts such as fundamental set and local breakdown point are introduced. They extend the robust estimation theory to sparse regression models. Based on these concepts, optimal meter placement methodologies for bad-data identification are described
Keywords :
estimation theory; least squares approximations; observability; power system measurement; power systems; bad-data identification; electric power systems; fast decoupled methods; fundamental set; high-breakdown point estimator; least mean square estimator; local breakdown point; observability checks; optimal meter placement methodologies; resampling techniques; robust estimation theory; sparse regression models; Contamination; Distribution functions; Electric breakdown; Electric variables measurement; Parameter estimation; Pollution measurement; Power measurement; Robustness; State estimation; Yield estimation;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112013
