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Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; +2 Authors
Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; Zhao Jinshuai; Zhou Runze;
doi: 10.1109/tpwrd.2021.3135075
doi: 10.1109/tpwrd.2021.3135075
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
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Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; +2 Authors
Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; Zhao Jinshuai; Zhou Runze;
doi: 10.1109/tpwrd.2021.3135075
doi: 10.1109/tpwrd.2021.3135075
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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citeCite
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Please grant OpenAIRE to access and update your ORCID works.
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IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
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Harmonic state estimation based on graph signal processing
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institution of Engineering and Technology (IET)
Authors: Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; +2 Authors
Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; Qiang Fu; Runze Zhou;
doi: 10.1049/gtd2.12352
doi: 10.1049/gtd2.12352
AbstractThis paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing a graph Laplacian matrix and an unconstrained optimization function, the adaptive K‐means algorithm for building a prior information model of the target bus, as well as data fuzzification and the domain averaging method for state estimation. Simulations are carried out using a 30‐bus power distribution system, and results are presented and discussed to prove the efficiency of the proposed method. The practical application further verifies the availability of the proposed method.
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
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IET Generation, Transmission & Distribution
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IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
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Article . 2022
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Harmonic state estimation based on graph signal processing
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institution of Engineering and Technology (IET)
Authors: Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; +2 Authors
Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; Qiang Fu; Runze Zhou;
doi: 10.1049/gtd2.12352
doi: 10.1049/gtd2.12352
AbstractThis paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing a graph Laplacian matrix and an unconstrained optimization function, the adaptive K‐means algorithm for building a prior information model of the target bus, as well as data fuzzification and the domain averaging method for state estimation. Simulations are carried out using a 30‐bus power distribution system, and results are presented and discussed to prove the efficiency of the proposed method. The practical application further verifies the availability of the proposed method.
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
IET Generation, Transmission & Distribution
Article
License: CC BY NC ND
Data sources: UnpayWall
IET Generation, Transmission & Distribution
Article . 2022
Data sources: DOAJ
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1
citations 1
popularity Average
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Powered by BIP!
more_vert
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
IET Generation, Transmission & Distribution
Article
License: CC BY NC ND
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IET Generation, Transmission & Distribution
Article . 2022
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citeCite
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

2 Research products

download

Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; +2 Authors
Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; Zhao Jinshuai; Zhou Runze;
doi: 10.1109/tpwrd.2021.3135075
doi: 10.1109/tpwrd.2021.3135075
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
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2
citations 2
popularity Top 10%
influence Average
impulse Average
Powered by BIP!
more_vert
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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This Research product is the result of merged Research products in OpenAIRE.

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Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; +2 Authors
Wang Ying; Xu Rui; Ma Xiaoyang; Fu Qiang; Zhao Jinshuai; Zhou Runze;
doi: 10.1109/tpwrd.2021.3135075
doi: 10.1109/tpwrd.2021.3135075
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
Select content type to embed
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2
citations 2
popularity Top 10%
influence Average
impulse Average
Powered by BIP!
more_vert
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2022 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.

You have already added works in your ORCID record related to the merged Research product.
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Harmonic state estimation based on graph signal processing
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institution of Engineering and Technology (IET)
Authors: Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; +2 Authors
Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; Qiang Fu; Runze Zhou;
doi: 10.1049/gtd2.12352
doi: 10.1049/gtd2.12352
AbstractThis paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing a graph Laplacian matrix and an unconstrained optimization function, the adaptive K‐means algorithm for building a prior information model of the target bus, as well as data fuzzification and the domain averaging method for state estimation. Simulations are carried out using a 30‐bus power distribution system, and results are presented and discussed to prove the efficiency of the proposed method. The practical application further verifies the availability of the proposed method.
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
IET Generation, Transmission & Distribution
Article
License: CC BY NC ND
Data sources: UnpayWall
IET Generation, Transmission & Distribution
Article . 2022
Data sources: DOAJ
linkLink to
shareshareShare
citeCite
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Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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This Research product is the result of merged Research products in OpenAIRE.

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For further information contact us at helpdesk@openaire.eu
Access Routes
gold
Published in a Diamond OA journal
1
citations 1
popularity Average
influence Average
impulse Average
Powered by BIP!
more_vert
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
IET Generation, Transmission & Distribution
Article
License: CC BY NC ND
Data sources: UnpayWall
IET Generation, Transmission & Distribution
Article . 2022
Data sources: DOAJ
linkLink to
shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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This Research product is the result of merged Research products in OpenAIRE.

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Harmonic state estimation based on graph signal processing
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institution of Engineering and Technology (IET)
Authors: Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; +2 Authors
Ying Wang; Rui Xu; Xiaoyang Ma; Wei Qiu; Qiang Fu; Runze Zhou;
doi: 10.1049/gtd2.12352
doi: 10.1049/gtd2.12352
AbstractThis paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing a graph Laplacian matrix and an unconstrained optimization function, the adaptive K‐means algorithm for building a prior information model of the target bus, as well as data fuzzification and the domain averaging method for state estimation. Simulations are carried out using a 30‐bus power distribution system, and results are presented and discussed to prove the efficiency of the proposed method. The practical application further verifies the availability of the proposed method.
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
IET Generation, Transmission & Distribution
Article
License: CC BY NC ND
Data sources: UnpayWall
IET Generation, Transmission & Distribution
Article . 2022
Data sources: DOAJ
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citeCite
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Please grant OpenAIRE to access and update your ORCID works.
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Access Routes
gold
Published in a Diamond OA journal
1
citations 1
popularity Average
influence Average
impulse Average
Powered by BIP!
more_vert
IET Generation, Tran...arrow_drop_down
IET Generation, Transmission & Distribution
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
IET Generation, Transmission & Distribution
Article
License: CC BY NC ND
Data sources: UnpayWall
IET Generation, Transmission & Distribution
Article . 2022
Data sources: DOAJ
linkLink to
shareshareShare
citeCite
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Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data

Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data

Harmonic state estimation based on graph signal processing

Harmonic state estimation based on graph signal processing

Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data

Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data

Harmonic state estimation based on graph signal processing

Harmonic state estimation based on graph signal processing

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