INVESTIGADORES
GONZALEZ Sergio Alejandro
artículos
Título:
Repetitive Control with Adaptive Sampling Frequency for Wind Power Generation Systems
Autor/es:
MARIO ALEJANDRO HERRÁN; JONATAN FISCHER; GONZÁLEZ, SERGIO ALEJANDRO; MARCOS GABRIEL JUDEWICZ; IGNACIO CARUGATI; CARRICA, D. O.
Revista:
IEEE Journal of Emerging and Selected Topics in Power Electronics
Editorial:
IEEE Press
Referencias:
Lugar: New Jersey; Año: 2014 vol. 2 p. 58 - 69
ISSN:
2168-6777
Resumen:
This work presents a new repetitive control (RC) for Wind Power Generation Systems which achieves optimal performance in steady state conditions due to a variable sampling/switching period technique (VSPT). The main objective of VSPT is to obtain an integer number of samples per grid period, which solves the main problem of RC: the loss of rejection to periodic disturbances due to grid frequency drift. The sampling/switching frequency is adjusted with a variable sampling period filter phase-locked loop (VSPF-PLL), which also adds robustness to the system due to its inherent tolerance to grid voltage distortion and unbalances, and events like frequency steps and faults. The control and synchronism subsystems are described, designed, and verified experimentally in a 10kW WPGS. The obtained results prove the accuracy of the proposed control even under severe disturbances typical in grids with high penetration of WPGS, providing ancillary functions to enhance reliability and reduce operational costs