RT Journal Article
T1 Frequency-adaptive stationary-reference-frame grid voltage sequence detector for distributed generation systems
A1 Robles, Eider
A1 Pou, Josep
A1 Ceballos, Salvador
A1 Zaragoza, Jordi
A1 Martín, José Luis
A1 Ibañez, Pedro
AB This paper proposes a stationary-frame sequence detector (SFSD) structure for determining the positive sequence in three-phase systems. The structure includes the use of the Clarke transformation and moving average filters (MAFs). The positive-sequence phase angle can be obtained from the alpha-beta components; however, such a detection becomes inaccurate if the grid voltages are unbalanced and/or distorted. The MAF is used to filter the nonideal components. Performance of the MAF is analyzed mathematically for a proper selection of the window width of the optimal filter in this application. The time delay introduced by MAFs is constant and known; hence, this may be compensated. The proposed detector structure allows fast detection of the grid voltage positive sequence (within one grid voltage cycle). The MAF completely eliminates any oscillation multiple of the frequency for which it is designed; thus, this algorithm can overcome the presence of imbalances or harmonics in the electrical grid. Furthermore, it includes a simple frequency estimator that makes the SFSD frequency adaptive and is capable of operating under large frequency changes. The entire SFSD is verified through simulation and experiment, showing very good performance even under several extreme grid voltage conditions.
SN 0278-0046
YR 2011
FD 2011-09
LK https://hdl.handle.net/11556/3659
UL https://hdl.handle.net/11556/3659
LA eng
NO Robles , E , Pou , J , Ceballos , S , Zaragoza , J , Martín , J L & Ibañez , P 2011 , ' Frequency-adaptive stationary-reference-frame grid voltage sequence detector for distributed generation systems ' , IEEE Transactions on Industrial Electronics , vol. 58 , no. 9 , 5661845 , pp. 4275-4287 . https://doi.org/10.1109/TIE.2010.2098352
NO Manuscript received August 14, 2009; revised April 21, 2010 and August 31, 2010; accepted October 23, 2010. Date of publication December 10, 2010; date of current version August 12, 2011. This work was supported by the Ministerio de Ciencia y Tecnologia of Spain under Project ENE2007-67033-C03-01, by the Basque Country Government, and by the Torres Quevedo Program.
DS TECNALIA Publications
RD 28 jul 2024