Unbalanced three-phase distribution system frequency estimation using least mean squares method and positive voltage sequence
The subject of this study is a frequency estimation algorithm suitable for grid-connected power converters placed at a weak coupling point of a three-phase electrical distribution system. An upgraded version of the widely used complex least mean squares (CLMS) algorithm for frequency estimation is i...
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| Published in | IET science, measurement & technology Vol. 8; no. 1; pp. 30 - 38 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Stevenage
The Institution of Engineering and Technology
01.01.2014
The Institution of Engineering & Technology |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8822 1751-8830 1751-8830 |
| DOI | 10.1049/iet-smt.2012.0003 |
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| Abstract | The subject of this study is a frequency estimation algorithm suitable for grid-connected power converters placed at a weak coupling point of a three-phase electrical distribution system. An upgraded version of the widely used complex least mean squares (CLMS) algorithm for frequency estimation is introduced to cope with different voltage amplitude unbalance and harmonic distortion levels, both frequently present in power system at distribution level. First, it is suggested that the CLMS algorithm uses only a positive phase-sequence component of voltage vector, the component that is inherently symmetrical and by cancelling the phase unbalance preserves the circular vector trajectory in a two-phase αβ-plane. This study shows that it is even possible to use the positive voltage phase-sequence vector extracted using a constant delay block, thus avoiding potential instability issues in the case of signal frequency feedback loop. Second, possible high signal harmonics and signal measurement noise are both removed using low-pass filters prior to CLMS algorithm deployment. Computer simulations and experiments are performed under a variety of conditions to validate the effectiveness of the proposed technique. Experimental results are achieved using the dataset sampled from the actual three-phase grid voltage at distributed level and with data processing done in the LabVIEW software environment. |
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| AbstractList | The subject of this study is a frequency estimation algorithm suitable for grid-connected power converters placed at a weak coupling point of a three-phase electrical distribution system. An upgraded version of the widely used complex least mean squares (CLMS) algorithm for frequency estimation is introduced to cope with different voltage amplitude unbalance and harmonic distortion levels, both frequently present in power system at distribution level. First, it is suggested that the CLMS algorithm uses only a positive phase-sequence component of voltage vector, the component that is inherently symmetrical and by cancelling the phase unbalance preserves the circular vector trajectory in a two-phase alpha beta -plane. This study shows that it is even possible to use the positive voltage phase-sequence vector extracted using a constant delay block, thus avoiding potential instability issues in the case of signal frequency feedback loop. Second, possible high signal harmonics and signal measurement noise are both removed using low-pass filters prior to CLMS algorithm deployment. Computer simulations and experiments are performed under a variety of conditions to validate the effectiveness of the proposed technique. Experimental results are achieved using the dataset sampled from the actual three-phase grid voltage at distributed level and with data processing done in the LabVIEW software environment. The subject of this study is a frequency estimation algorithm suitable for grid-connected power converters placed at a weak coupling point of a three-phase electrical distribution system. An upgraded version of the widely used complex least mean squares (CLMS) algorithm for frequency estimation is introduced to cope with different voltage amplitude unbalance and harmonic distortion levels, both frequently present in power system at distribution level. First, it is suggested that the CLMS algorithm uses only a positive phase-sequence component of voltage vector, the component that is inherently symmetrical and by cancelling the phase unbalance preserves the circular vector trajectory in a two-phase αβ-plane. This study shows that it is even possible to use the positive voltage phase-sequence vector extracted using a constant delay block, thus avoiding potential instability issues in the case of signal frequency feedback loop. Second, possible high signal harmonics and signal measurement noise are both removed using low-pass filters prior to CLMS algorithm deployment. Computer simulations and experiments are performed under a variety of conditions to validate the effectiveness of the proposed technique. Experimental results are achieved using the dataset sampled from the actual three-phase grid voltage at distributed level and with data processing done in the LabVIEW software environment. The subject of this study is a frequency estimation algorithm suitable for grid-connected power converters placed at a weak coupling point of a three-phase electrical distribution system. An upgraded version of the widely used complex least mean squares (CLMS) algorithm for frequency estimation is introduced to cope with different voltage amplitude unbalance and harmonic distortion levels, both frequently present in power system at distribution level. First, it is suggested that the CLMS algorithm uses only a positive phase-sequence component of voltage vector, the component that is inherently symmetrical and by cancelling the phase unbalance preserves the circular vector trajectory in a two-phase αβ-plane. This study shows that it is even possible to use the positive voltage phase-sequence vector extracted using a constant delay block, thus avoiding potential instability issues in the case of signal frequency feedback loop. Second, possible high signal harmonics and signal measurement noise are both removed using low-pass filters prior to CLMS algorithm deployment. Computer simulations and experiments are performed under a variety of conditions to validate the effectiveness of the proposed technique. Experimental results are achieved using the dataset sampled from the actual three-phase grid voltage at distributed level and with data processing done in the LabVIEW software environment. [PUBLICATION ABSTRACT] |
| Author | Marčetić, Darko P Kušljević, Miodrag D Tomić, Josif J |
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| Cites_doi | 10.1049/ip-gtd:19982187 10.1109/19.492760 10.1109/TIM.2007.908350 10.1109/61.660863 10.1109/TIM.2003.822707 10.1109/TIA.2004.827452 10.1109/TPWRS.2008.922539 10.1109/TIM.2007.903585 10.1109/TIE.2004.825282 10.1109/78.143435 10.1109/TPWRD.2006.875856 10.1109/TPAS.1984.318297 10.1109/TPWRD.2004.843453 |
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| Keywords | least mean squares methods noise measurement three-phase grid voltage power harmonic filters harmonic distortion levels unbalanced three-phase electrical distribution system frequency estimation positive voltage phase-sequence vector LabVIEW software environment low-pass filters voltage amplitude unbalance power grids complex least mean squares algorithm constant delay block power convertors high signal harmonics computer simulations power engineering computing frequency estimation circular vector trajectory virtual instrumentation grid-connected power converters power distribution signal frequency feedback loop CLMS algorithm two-phase αβ-plane |
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| StartPage | 30 |
| SubjectTerms | Algorithms circular vector trajectory CLMS algorithm complex least mean squares algorithm computer simulations constant delay block Electric potential frequency estimation grid‐connected power converters harmonic distortion levels high signal harmonics LabVIEW software environment Least mean squares Least mean squares algorithm least mean squares methods low‐pass filters Mathematical analysis noise measurement positive voltage phase‐sequence vector power convertors power distribution power engineering computing power grids power harmonic filters signal frequency feedback loop three‐phase grid voltage two‐phase αβ‐plane Unbalance unbalanced three‐phase electrical distribution system frequency estimation Vectors (mathematics) virtual instrumentation Voltage voltage amplitude unbalance |
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| Title | Unbalanced three-phase distribution system frequency estimation using least mean squares method and positive voltage sequence |
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