DocumentCode :
1839328
Title :
Frequency-adaptive Virtual Flux estimation for grid synchronization under unbalanced conditions
Author :
Suul, Jon Are ; Luna, Alvaro ; Rodriguez, Pedro ; Undeland, Tore
Author_Institution :
Dept. of Electr. Power Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
486
Lastpage :
492
Abstract :
This paper proposes a new and explicitly frequency-adaptive method for Virtual Flux estimation and voltage sensor-less grid synchronization under unbalanced conditions. The proposed system is based on using Second Order Generalized Integrators, arranged to simultaneously fulfill the purposes of frequency-adaptive band-pass filtering, integration and quadrature signal generation. This results in a simple and efficient structure for combined Virtual Flux estimation and separation into positive and negative sequence components. The properties of the proposed Virtual Flux model is analyzed theoretically, first as an integrator for implementing generic Virtual Flux estimation, and then with respect to sequence separation. The dynamic performance of the proposed estimation method is tested by simulations for the case of an unbalanced voltage drop in the grid and for a step in grid frequency. The simulations verify the performance to be as expected, with similar dynamics as synchronization based on voltage measurements.
Keywords :
band-pass filters; power convertors; power filters; power grids; voltage measurement; band-pass filtering; frequency-adaptive virtual flux estimation; grid synchronization; second order generalized integrators; unbalanced conditions; Band pass filters; Converters; Estimation; Frequency estimation; Integrated circuits; Synchronization; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5674924
Filename :
5674924
Link To Document :
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