Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers
The widespread deployment of renewable energies and non-linear loads has led to serious harmonic pollution in electrical distribution networks. Evaluation of the harmonic contribution (HC) of each customer is a significant task for power quality management. Most previous studies focus on periodic ev...
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| Format: | Article |
| Language: | English |
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China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10106190/ |
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| _version_ | 1849330520114069504 |
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| author | Shaohua Yang Keng-Weng Lao Hongxun Hui Yulin Chen Ningyi Dai |
| author_facet | Shaohua Yang Keng-Weng Lao Hongxun Hui Yulin Chen Ningyi Dai |
| author_sort | Shaohua Yang |
| collection | DOAJ |
| description | The widespread deployment of renewable energies and non-linear loads has led to serious harmonic pollution in electrical distribution networks. Evaluation of the harmonic contribution (HC) of each customer is a significant task for power quality management. Most previous studies focus on periodic evaluation methods, where numerous data have to be collected in advance over a period (e.g., one day). However, customer behaviors are time-varying and would lead to dynamic HCs, which can not be captured by traditional periodic evaluation methods. To address this issue, this paper presents a novel real-time HC evaluation method considering multiple dynamic customers. First, a two-stage iteration estimator is proposed based on the information fusion technique to quantify real-time HC of each customer. Then, to mitigate the negative effect of unknown background harmonics, a dominant index method is developed to determine credibility of the measurement data. On this basis, an adaptive gain selection strategy is proposed to improve accuracy of real-time HC evaluation. By doing so, the major harmonic contributor can be identified for implementing harmonic suppression and improving power quality. Finally, a typical IEEE system is utilized to verify the proposed methods. The results show that using the proposed method, evaluation errors can be reduced from about 10% to 2.5%. Moreover, the total harmonic distortion of voltage can be suppressed from 5.564% to 0.702%. Therefore, this research provides practical insights for addressing harmonic problems in power systems. |
| format | Article |
| id | doaj-art-5370e2e902f84632a718c02f0e2f426c |
| institution | Kabale University |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-5370e2e902f84632a718c02f0e2f426c2025-08-20T03:46:53ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-011131093110610.17775/CSEEJPES.2022.0657010106190Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic CustomersShaohua Yang0https://orcid.org/0000-0002-3413-6673Keng-Weng Lao1Hongxun Hui2Yulin Chen3Ningyi Dai4University of Macau,State Key Laboratory of Internet of Things for Smart City,Department of Electrical and Computer Engineering,Macao,China,999078University of Macau,State Key Laboratory of Internet of Things for Smart City,Department of Electrical and Computer Engineering,Macao,China,999078University of Macau,State Key Laboratory of Internet of Things for Smart City,Department of Electrical and Computer Engineering,Macao,China,999078University of Macau,State Key Laboratory of Internet of Things for Smart City,Department of Electrical and Computer Engineering,Macao,China,999078University of Macau,State Key Laboratory of Internet of Things for Smart City,Department of Electrical and Computer Engineering,Macao,China,999078The widespread deployment of renewable energies and non-linear loads has led to serious harmonic pollution in electrical distribution networks. Evaluation of the harmonic contribution (HC) of each customer is a significant task for power quality management. Most previous studies focus on periodic evaluation methods, where numerous data have to be collected in advance over a period (e.g., one day). However, customer behaviors are time-varying and would lead to dynamic HCs, which can not be captured by traditional periodic evaluation methods. To address this issue, this paper presents a novel real-time HC evaluation method considering multiple dynamic customers. First, a two-stage iteration estimator is proposed based on the information fusion technique to quantify real-time HC of each customer. Then, to mitigate the negative effect of unknown background harmonics, a dominant index method is developed to determine credibility of the measurement data. On this basis, an adaptive gain selection strategy is proposed to improve accuracy of real-time HC evaluation. By doing so, the major harmonic contributor can be identified for implementing harmonic suppression and improving power quality. Finally, a typical IEEE system is utilized to verify the proposed methods. The results show that using the proposed method, evaluation errors can be reduced from about 10% to 2.5%. Moreover, the total harmonic distortion of voltage can be suppressed from 5.564% to 0.702%. Therefore, this research provides practical insights for addressing harmonic problems in power systems.https://ieeexplore.ieee.org/document/10106190/Background harmonicdynamic customer behaviorharmonic contributionpower qualityreal-time evaluation |
| spellingShingle | Shaohua Yang Keng-Weng Lao Hongxun Hui Yulin Chen Ningyi Dai Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers CSEE Journal of Power and Energy Systems Background harmonic dynamic customer behavior harmonic contribution power quality real-time evaluation |
| title | Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers |
| title_full | Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers |
| title_fullStr | Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers |
| title_full_unstemmed | Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers |
| title_short | Real-Time Harmonic Pollution Evaluation Considering Multiple Dynamic Customers |
| title_sort | real time harmonic pollution evaluation considering multiple dynamic customers |
| topic | Background harmonic dynamic customer behavior harmonic contribution power quality real-time evaluation |
| url | https://ieeexplore.ieee.org/document/10106190/ |
| work_keys_str_mv | AT shaohuayang realtimeharmonicpollutionevaluationconsideringmultipledynamiccustomers AT kengwenglao realtimeharmonicpollutionevaluationconsideringmultipledynamiccustomers AT hongxunhui realtimeharmonicpollutionevaluationconsideringmultipledynamiccustomers AT yulinchen realtimeharmonicpollutionevaluationconsideringmultipledynamiccustomers AT ningyidai realtimeharmonicpollutionevaluationconsideringmultipledynamiccustomers |