®®®® SIIA Público

Título del libro: Proceedings - 2015 International Symposium On Smart Electric Distribution Systems And Technologies, Edst 2015
Título del capítulo: Comparison Between WLS and Kalman Filter Method for Power System Static State Estimation

Autores UNAM:
PAUL ROLANDO MAYA ORTIZ;
Autores externos:

Idioma:
Inglés
Año de publicación:
2015
Palabras clave:

Kalman Filter; Power System; State Estimation


Resumen:

Traditional state estimators, which are based on steady state system model, cannot capture the time-history data. The problem of state estimation combined with multiple sets of measurements is posed in a Kalman Filtering scheme, using a discrete-time model. In this paper, the power system state estimation process, based on Kalman Filtering techniques is discussed; an IEEE 6-bus test system is used to compare the performance with the Weighted Least Square (WLS) method.


Entidades citadas de la UNAM: