Space Vector and Signal Processing for Voltage Dips Monitoring

Pierre Granjon (1) , Seddik Bacha (2) , Vanya Ignatova (2)

1 GIPSA-SA-IGA - GIPSA - Signal et Automatique pour le Diagnostic et la Surveillance
2 G2ELab - Laboratoire de Génie Electrique de Grenoble

A new method for voltage dips monitoring in power networks is presented in this paper. This method is based on the space vector representation, which is a time-dependent complex-valued quantity equivalent to the original three-phase voltages. In the case of non-faulted system voltages, the space vector follows a circle in the complex plane with a radius equal to the nominal voltage. This shape becomes an ellipse in the case of voltage dip, with parameters depending on the phase(s) in drop, dip magnitude and phase angle shift. The parameters of the space vector shape are determined by classical signal processing tools and are used to determine the dip time period, classify and finally characterize the measured power quality disturbance. Algorithms are detailed for each step of this automatic method and are validated on real measurement data.

Mots clés: signal processing; power networks; power quality monitoring; voltage dips; three-phase transforms; signal processing.

Domaines: Traitement du signal et de l'image [eess.SP]; Energie électrique; Traitement du signal et de l'image [eess.SP]

Pierre Granjon, Seddik Bacha, Vanya Ignatova. Space Vector and Signal Processing for Voltage Dips Monitoring. ACD 2007- 5th European Workshop on Advanced Control and Diagnosis, Nov 2007, Grenoble, France. ⟨hal-00186829⟩