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A General Harmonic Probability Model Based on Load Operating States Identification
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ying Wang; Mengjie Yu; Xiaoyang Ma; Xianyong Xiao; +2 Authors
Ying Wang; Mengjie Yu; Xiaoyang Ma; Xianyong Xiao; Chun Wang; Chunhui Liu;
doi: 10.1109/tpwrd.2022.3213646
doi: 10.1109/tpwrd.2022.3213646
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2023 . Peer-reviewed
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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
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Article . 2022 . Peer-reviewed
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DC Voltage Oscillation Stability Analysis of DC-Voltage-Droop-Controlled Multiterminal DC Distribution System Using Reduced-Order Modal Calculation
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Qiang Fu; Wenjuan Du; Haifeng Wang; Xiaoyang Ma; +1 Authors
Qiang Fu; Wenjuan Du; Haifeng Wang; Xiaoyang Ma; Xianyong Xiao;
doi: 10.1109/tsg.2022.3178704
doi: 10.1109/tsg.2022.3178704
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Article . 2022 . Peer-reviewed
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Load Loss Rate Evaluation Method of Sensitive Users Under Voltage Sag Based on Monitoring Data
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ying Wang; Yixuan Yang; Wenxi Hu; Xianyong Xiao; +2 Authors
Ying Wang; Yixuan Yang; Wenxi Hu; Xianyong Xiao; Xiaoyang Ma; Hang Yang;
doi: 10.1109/tpwrd.2022.3172131
doi: 10.1109/tpwrd.2022.3172131
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Harmonic and Interharmonic Analysis of Mixed Dense Frequency Signals
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Xiaoyang Ma; Qiuling Yang; Chang Chen; Hong Luo; +1 Authors
Xiaoyang Ma; Qiuling Yang; Chang Chen; Hong Luo; Diwen Zheng;
doi: 10.1109/tie.2020.3026288
doi: 10.1109/tie.2020.3026288
Dense frequency signal refers to the signal containing harmonic and interharmonic components that are very close to each other in frequency domain. Due to the limited frequency resolution and the existence of spectrum leakage and fence effects, it is difficult to accurately detect the harmonic and interharmonic components in dense frequency signals. The spectral interference under asynchronous sampling conditions can lead to the failure of measuring the multiple adjacent harmonics and interharmonics. Therefore, this article proposes a mixed dense signal harmonic and interharmonic analysis method. The dense frequency signal model is first established. Based on the model, the discrete Fourier transform results of the dense frequency signal are processed by local mean decomposition extension to construct that single multichannel signal as a virtual multichannel. Then, the parameters of each frequency component are obtained by means of principal component analysis and fast independent component analysis. Finally, the measurement of dense harmonic and interharmonic components is implemented. The simulation and experimental results show the high accuracy and the noise resistance ability of the proposed method in identifying and measuring the dense harmonic and interharmonic components.
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IEEE Transactions on Industrial Electronics
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

5 Research products

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A General Harmonic Probability Model Based on Load Operating States Identification
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ying Wang; Mengjie Yu; Xiaoyang Ma; Xianyong Xiao; +2 Authors
Ying Wang; Mengjie Yu; Xiaoyang Ma; Xianyong Xiao; Chun Wang; Chunhui Liu;
doi: 10.1109/tpwrd.2022.3213646
doi: 10.1109/tpwrd.2022.3213646
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Power Delivery
Article . 2023 . Peer-reviewed
License: IEEE Copyright
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6
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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
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2
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DC Voltage Oscillation Stability Analysis of DC-Voltage-Droop-Controlled Multiterminal DC Distribution System Using Reduced-Order Modal Calculation
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Qiang Fu; Wenjuan Du; Haifeng Wang; Xiaoyang Ma; +1 Authors
Qiang Fu; Wenjuan Du; Haifeng Wang; Xiaoyang Ma; Xianyong Xiao;
doi: 10.1109/tsg.2022.3178704
doi: 10.1109/tsg.2022.3178704
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Smart Grid
Article . 2022 . Peer-reviewed
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Load Loss Rate Evaluation Method of Sensitive Users Under Voltage Sag Based on Monitoring Data
descriptionPublicationkeyboard_double_arrow_right Article 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Ying Wang; Yixuan Yang; Wenxi Hu; Xianyong Xiao; +2 Authors
Ying Wang; Yixuan Yang; Wenxi Hu; Xianyong Xiao; Xiaoyang Ma; Hang Yang;
doi: 10.1109/tpwrd.2022.3172131
doi: 10.1109/tpwrd.2022.3172131
IEEE Transactions on...arrow_drop_down
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Article . 2022 . Peer-reviewed
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Harmonic and Interharmonic Analysis of Mixed Dense Frequency Signals
descriptionPublicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Xiaoyang Ma; Qiuling Yang; Chang Chen; Hong Luo; +1 Authors
Xiaoyang Ma; Qiuling Yang; Chang Chen; Hong Luo; Diwen Zheng;
doi: 10.1109/tie.2020.3026288
doi: 10.1109/tie.2020.3026288
Dense frequency signal refers to the signal containing harmonic and interharmonic components that are very close to each other in frequency domain. Due to the limited frequency resolution and the existence of spectrum leakage and fence effects, it is difficult to accurately detect the harmonic and interharmonic components in dense frequency signals. The spectral interference under asynchronous sampling conditions can lead to the failure of measuring the multiple adjacent harmonics and interharmonics. Therefore, this article proposes a mixed dense signal harmonic and interharmonic analysis method. The dense frequency signal model is first established. Based on the model, the discrete Fourier transform results of the dense frequency signal are processed by local mean decomposition extension to construct that single multichannel signal as a virtual multichannel. Then, the parameters of each frequency component are obtained by means of principal component analysis and fast independent component analysis. Finally, the measurement of dense harmonic and interharmonic components is implemented. The simulation and experimental results show the high accuracy and the noise resistance ability of the proposed method in identifying and measuring the dense harmonic and interharmonic components.
IEEE Transactions on...arrow_drop_down
IEEE Transactions on Industrial Electronics
Article . 2021 . Peer-reviewed
License: IEEE Copyright
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IEEE Transactions on Industrial Electronics
Journal
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IEEE Transactions on Industrial Electronics
Article . 2021 . Peer-reviewed
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Energy Research

A General Harmonic Probability Model Based on Load Operating States Identification

Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data

DC Voltage Oscillation Stability Analysis of DC-Voltage-Droop-Controlled Multiterminal DC Distribution System Using Reduced-Order Modal Calculation

Load Loss Rate Evaluation Method of Sensitive Users Under Voltage Sag Based on Monitoring Data

Harmonic and Interharmonic Analysis of Mixed Dense Frequency Signals

A General Harmonic Probability Model Based on Load Operating States Identification

Spectral Graph Theory-Based Recovery Method for Missing Harmonic Data

DC Voltage Oscillation Stability Analysis of DC-Voltage-Droop-Controlled Multiterminal DC Distribution System Using Reduced-Order Modal Calculation

Load Loss Rate Evaluation Method of Sensitive Users Under Voltage Sag Based on Monitoring Data

Harmonic and Interharmonic Analysis of Mixed Dense Frequency Signals

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