Title :
Testing equality constraint hypotheses in weighted least squares state estimators
Author_Institution :
Univ. Estadual de Campinas, Sao Paulo, Brazil
Abstract :
The presence of a gross error in analog, status, or parameter data can dramatically affect both the convergence and the quality of the results yielded by weighted least squares state estimators. Most of the literature available on the subject deals with analog errors. This paper extends the well known J-test to the validation of hypothesis represented as linear equality constraints. The proposed testing approach has been applied to validate hypothesis about the status of switching devices (open/closed) in networks modeled at the physical level (bus-section/switching-device model)
Keywords :
circuit breakers; least squares approximations; power system state estimation; J-test; analog data; breaker status estimation; bus-section; convergence; equality constraint hypotheses testing; gross error; linear equality constraints; open/closed switching status; parameter data; power systems; state estimation; status data; switching devices; switching-device model; weighted least squares state estimators; Jacobian matrices; Least squares approximation; Power system modeling; State estimation; Statistical analysis; Statistical distributions; System testing; Topology; Vectors; Yield estimation;
Conference_Titel :
Power Industry Computer Applications, 1999. PICA '99. Proceedings of the 21st 1999 IEEE International Conference
Conference_Location :
Santa Clara, CA
Print_ISBN :
0-7803-5478-8
DOI :
10.1109/PICA.1999.779379