2017
DOI: 10.1007/s40313-017-0348-5
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Sequence Component Extraction Based on Recursive Least Squares for Wind Energy Applications

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Cited by 7 publications
(2 citation statements)
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“…where i p ± and i q ± represent positive and negative -active and reactive current components. As given in (17), power oscillations can be divided into two parts: one part is the PS current and NS voltage, another part is the PS voltage and NS current. The references for positive-negative orthogonal currents related to injected active and reactive powers can be expressed depending on voltage sequences and flexible control parameters (FCPs) as follows [33,34]:…”
Section: Problem Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…where i p ± and i q ± represent positive and negative -active and reactive current components. As given in (17), power oscillations can be divided into two parts: one part is the PS current and NS voltage, another part is the PS voltage and NS current. The references for positive-negative orthogonal currents related to injected active and reactive powers can be expressed depending on voltage sequences and flexible control parameters (FCPs) as follows [33,34]:…”
Section: Problem Formulationmentioning
confidence: 99%
“…In this case, a fast and robust sequence extraction is required in the synchronous reference frame (SRF) [10] or stationary reference frame (STRF) [11]. The complexcoefficient filter-based techniques such as multiple complex coefficient filter (MCCF) [12][13][14], dual second-order generalised integrator (DSOGI)-based techniques [15,16], recursive least squares-based sequence extraction [17], the delay signal cancellation (DSC) sequence extractors [18,19], multiple reducedorder generalised integrator [20], third-order sinusoidal signal integrator (TOSSI) [5] are used to separate symmetrical components. However, the structures of these methods are more complex and have slower sag detection (more than once cycle-20 ms).…”
Section: Introductionmentioning
confidence: 99%