Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application

Miao Lin  Pay; Pan Cao; Yichuang Sun; Daniel McCluskey

doi:10.1109/IECON43393.2020.9255169

Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application

Miao Lin Pay, Pan Cao, Yichuang Sun, Daniel McCluskey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Adaptive observer based grid synchronization technique has received wide attention recently. This technique has fast convergence property. However, adaptive observer is sensitive to unmodeled dynamics e.g. harmonics. Moreover, no small-signal models are available which can be useful for gain tuning purpose. To solve these issues, in this work, a harmonic robust adaptive observer is presented using the concept of in-loop filter. This improves the existing literature on adaptive observer based grid synchronization technique, which is the main novelty of this paper. To analyze the stability of the proposed technique, small-signal model of the adaptive observer with and without in-loop filter are presented. Finally, simulation study is presented to show the effectiveness of the proposed technique over two other advanced techniques from the literature.

Original language	English
Title of host publication	46th Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781728154145
ISBN (Print)	9781728154152
DOIs	https://doi.org/10.1109/IECON43393.2020.9255169
Publication status	Published - 18 Nov 2020
Event	46th Annual Conference of the IEEE Industrial Electronics Society (IES), IECON 2020 - Marina Bay Sands Expo and Convention Centre, Singapore Duration: 18 Oct 2020 → 21 Oct 2020 Conference number: 46 https://www.iecon2020.org/

Conference

Conference	46th Annual Conference of the IEEE Industrial Electronics Society (IES), IECON 2020
Country/Territory	Singapore
Period	18/10/20 → 21/10/20
Internet address	https://www.iecon2020.org/

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Cite this

@inproceedings{c62faebe45fa4e0d9bb179db8a033ba1,

title = "Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application",

abstract = "Adaptive observer based grid synchronization technique has received wide attention recently. This technique has fast convergence property. However, adaptive observer is sensitive to unmodeled dynamics e.g. harmonics. Moreover, no small-signal models are available which can be useful for gain tuning purpose. To solve these issues, in this work, a harmonic robust adaptive observer is presented using the concept of in-loop filter. This improves the existing literature on adaptive observer based grid synchronization technique, which is the main novelty of this paper. To analyze the stability of the proposed technique, small-signal model of the adaptive observer with and without in-loop filter are presented. Finally, simulation study is presented to show the effectiveness of the proposed technique over two other advanced techniques from the literature.",

author = "Pay, {Miao Lin} and Pan Cao and Yichuang Sun and Daniel McCluskey",

year = "2020",

month = nov,

day = "18",

doi = "10.1109/IECON43393.2020.9255169",

language = "English",

isbn = "9781728154152",

booktitle = "46th Annual Conference of the IEEE Industrial Electronics Society",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "46th Annual Conference of the IEEE Industrial Electronics Society (IES), <br/>IECON 2020 ; Conference date: 18-10-2020 Through 21-10-2020",

url = "https://www.iecon2020.org/",

}

Pay, ML, Cao, P , Sun, Y & McCluskey, D 2020, Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application. in 46th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers (IEEE), 46th Annual Conference of the IEEE Industrial Electronics Society (IES),
IECON 2020, Singapore, 18/10/20. https://doi.org/10.1109/IECON43393.2020.9255169

TY - GEN

T1 - Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application

AU - Pay, Miao Lin

AU - Cao, Pan

AU - Sun, Yichuang

AU - McCluskey, Daniel

N1 - Conference code: 46

PY - 2020/11/18

Y1 - 2020/11/18

N2 - Adaptive observer based grid synchronization technique has received wide attention recently. This technique has fast convergence property. However, adaptive observer is sensitive to unmodeled dynamics e.g. harmonics. Moreover, no small-signal models are available which can be useful for gain tuning purpose. To solve these issues, in this work, a harmonic robust adaptive observer is presented using the concept of in-loop filter. This improves the existing literature on adaptive observer based grid synchronization technique, which is the main novelty of this paper. To analyze the stability of the proposed technique, small-signal model of the adaptive observer with and without in-loop filter are presented. Finally, simulation study is presented to show the effectiveness of the proposed technique over two other advanced techniques from the literature.

AB - Adaptive observer based grid synchronization technique has received wide attention recently. This technique has fast convergence property. However, adaptive observer is sensitive to unmodeled dynamics e.g. harmonics. Moreover, no small-signal models are available which can be useful for gain tuning purpose. To solve these issues, in this work, a harmonic robust adaptive observer is presented using the concept of in-loop filter. This improves the existing literature on adaptive observer based grid synchronization technique, which is the main novelty of this paper. To analyze the stability of the proposed technique, small-signal model of the adaptive observer with and without in-loop filter are presented. Finally, simulation study is presented to show the effectiveness of the proposed technique over two other advanced techniques from the literature.

U2 - 10.1109/IECON43393.2020.9255169

DO - 10.1109/IECON43393.2020.9255169

M3 - Conference contribution

SN - 9781728154152

BT - 46th Annual Conference of the IEEE Industrial Electronics Society

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 46th Annual Conference of the IEEE Industrial Electronics Society (IES), <br/>IECON 2020

Y2 - 18 October 2020 through 21 October 2020

ER -

Luenberger Observer Based Grid Synchronization Techniques for Smart Grid Application

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