Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model
The accurate estimation of harmonic impedance on the utility side of a point of common coupling (PCC) is much important to harmonic control, harmonic emission level, and harmonic responsibility analysis. In this study, a novel estimation method for the utility harmonic impedance is proposed, which e...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-07-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2019.1349 |
| _version_ | 1828001730569175040 |
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| author | Zhirong Tang Qin Shu Fangwei Xu Yue Jiang |
| author_facet | Zhirong Tang Qin Shu Fangwei Xu Yue Jiang |
| author_sort | Zhirong Tang |
| collection | DOAJ |
| description | The accurate estimation of harmonic impedance on the utility side of a point of common coupling (PCC) is much important to harmonic control, harmonic emission level, and harmonic responsibility analysis. In this study, a novel estimation method for the utility harmonic impedance is proposed, which employs the Gaussian mixed model (GMM) to fit the measured data at a PCC, because the authors find that the statistical distribution of the measured data at a PCC is close to the Gaussian distribution. Also, in theory, GMM can approach the probability distribution of any data. In this method, the Norton equivalent circuit model at a PCC is first expressed as a GMM, and the utility harmonic impedance in the GMM is estimated by expectation maximisation iterative method. Compared to the existing estimation methods, an outstanding advantage of this method is that it is less affected by background harmonics; therefore, higher accuracy can be acquired in this method. The effectiveness and accuracy of this method are verified by simulation experiments and field data. |
| first_indexed | 2024-04-10T06:33:27Z |
| format | Article |
| id | doaj.art-de654435cdf04336a83159a6ae5fb237 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-10T06:33:27Z |
| publishDate | 2020-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-de654435cdf04336a83159a6ae5fb2372023-03-01T04:51:17ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952020-07-0114132573258010.1049/iet-gtd.2019.1349Novelty method for the utility harmonic impedance estimation based on Gaussian mixed modelZhirong Tang0Qin Shu1Fangwei Xu2Yue Jiang3College of Nuclear Technology and Automation Engineering, Chengdu University of TechnologyChengdu610059People's Republic of ChinaCollege of Electrical Engineering, Sichuan UniversityChengdu610065People's Republic of ChinaCollege of Electrical Engineering, Sichuan UniversityChengdu610065People's Republic of ChinaCollege of Electrical Engineering, Sichuan UniversityChengdu610065People's Republic of ChinaThe accurate estimation of harmonic impedance on the utility side of a point of common coupling (PCC) is much important to harmonic control, harmonic emission level, and harmonic responsibility analysis. In this study, a novel estimation method for the utility harmonic impedance is proposed, which employs the Gaussian mixed model (GMM) to fit the measured data at a PCC, because the authors find that the statistical distribution of the measured data at a PCC is close to the Gaussian distribution. Also, in theory, GMM can approach the probability distribution of any data. In this method, the Norton equivalent circuit model at a PCC is first expressed as a GMM, and the utility harmonic impedance in the GMM is estimated by expectation maximisation iterative method. Compared to the existing estimation methods, an outstanding advantage of this method is that it is less affected by background harmonics; therefore, higher accuracy can be acquired in this method. The effectiveness and accuracy of this method are verified by simulation experiments and field data.https://doi.org/10.1049/iet-gtd.2019.1349novelty methodutility harmonic impedance estimationGaussian mixed modelPCCharmonic controlharmonic emission level |
| spellingShingle | Zhirong Tang Qin Shu Fangwei Xu Yue Jiang Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model IET Generation, Transmission & Distribution novelty method utility harmonic impedance estimation Gaussian mixed model PCC harmonic control harmonic emission level |
| title | Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model |
| title_full | Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model |
| title_fullStr | Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model |
| title_full_unstemmed | Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model |
| title_short | Novelty method for the utility harmonic impedance estimation based on Gaussian mixed model |
| title_sort | novelty method for the utility harmonic impedance estimation based on gaussian mixed model |
| topic | novelty method utility harmonic impedance estimation Gaussian mixed model PCC harmonic control harmonic emission level |
| url | https://doi.org/10.1049/iet-gtd.2019.1349 |
| work_keys_str_mv | AT zhirongtang noveltymethodfortheutilityharmonicimpedanceestimationbasedongaussianmixedmodel AT qinshu noveltymethodfortheutilityharmonicimpedanceestimationbasedongaussianmixedmodel AT fangweixu noveltymethodfortheutilityharmonicimpedanceestimationbasedongaussianmixedmodel AT yuejiang noveltymethodfortheutilityharmonicimpedanceestimationbasedongaussianmixedmodel |