Fundamental Frequency Sequence Amplitude Estimator for Power and Energy Applications
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In: PLoS ONE, Vol. 17, No. 8, e0270851, 01.08.2022.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Fundamental Frequency Sequence Amplitude Estimator for Power and Energy Applications
AU - Ahmed, Hafiz
AU - Tir, Zoheir
AU - Biricik, Samet
AU - Benbouzid, Mohamed
N1 - This work was supported by the Welsh European Funding Office (WEFO) under the European Regional Development Fund (ERDF) in the form of the Sêr Cymru II 80761-BU-103 project to HA.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - A grid-synchronization-based fundamental frequency positive-sequence (FFPS) and negative-sequence (FFNS) amplitudes estimation technique is proposed for unbalanced and distorted grid. In this technique, the sequence amplitudes are extracted by extracting the phase-angle of the FFPS and FFNS components. The extracted phase-angles have DC and double frequency AC components. The AC component is filtered out by using a Moving Average Filter (MAF) of appropriate window length. From the extracted phase-angle, the unknown frequency can be estimated by using a suitable controller. A frequency-fixed equidistant samples-based pre-loop filter is also applied to eliminate the effect of measurement offset. The proposed technique has a very simple structure and is easy to tune. Small-signal modeling-based stability analysis and gain tuning procedure are also provided. The proposed technique strikes a good balance between fast convergence and disturbance rejection capability. Comparative numerical simulation and experimental results with similar other techniques demonstrate the suitability and performance enhancement by the proposed technique.
AB - A grid-synchronization-based fundamental frequency positive-sequence (FFPS) and negative-sequence (FFNS) amplitudes estimation technique is proposed for unbalanced and distorted grid. In this technique, the sequence amplitudes are extracted by extracting the phase-angle of the FFPS and FFNS components. The extracted phase-angles have DC and double frequency AC components. The AC component is filtered out by using a Moving Average Filter (MAF) of appropriate window length. From the extracted phase-angle, the unknown frequency can be estimated by using a suitable controller. A frequency-fixed equidistant samples-based pre-loop filter is also applied to eliminate the effect of measurement offset. The proposed technique has a very simple structure and is easy to tune. Small-signal modeling-based stability analysis and gain tuning procedure are also provided. The proposed technique strikes a good balance between fast convergence and disturbance rejection capability. Comparative numerical simulation and experimental results with similar other techniques demonstrate the suitability and performance enhancement by the proposed technique.
U2 - 10.1371/journal.pone.0270851
DO - 10.1371/journal.pone.0270851
M3 - Article
VL - 17
JO - PLoS ONE
JF - PLoS ONE
SN - 1932-6203
IS - 8
M1 - e0270851
ER -