Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network
The integration of distributed energy resources (DERs) and, therefore, power electronic devices into distribution networks leads to harmonic distortion injection. However, studying harmonic distortion solely through deterministic approaches presents challenges due to the inherent random behavior of...
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AIMS Press
2024-02-01
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| Series: | AIMS Electronics and Electrical Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/electreng.2024003 |
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| author | Cristian Cadena-Zarate Juan Caballero-Peña German Osma-Pinto |
| author_facet | Cristian Cadena-Zarate Juan Caballero-Peña German Osma-Pinto |
| author_sort | Cristian Cadena-Zarate |
| collection | DOAJ |
| description | The integration of distributed energy resources (DERs) and, therefore, power electronic devices into distribution networks leads to harmonic distortion injection. However, studying harmonic distortion solely through deterministic approaches presents challenges due to the inherent random behavior of DERs. This study introduced a strategy that leverages PowerFactory's harmonic load flow tool. By combining it with Python co-simulation, probabilistic load flows can be developed. These load flows utilize current sources to represent harmonic distortion emitters with predefined harmonic spectra. The proposed strategy was implemented on a real network, where two different capacities of DERs were integrated at various locations within the network. The distributions for the total harmonic distortion of voltage ($ THD_{v} $) and the total harmonic distortion of current ($ THD_{i} $) were obtained 24 hours a day in nodes and lines of the network. The procedure allowed considering the uncertainty associated to the DERs integration in distribution networks in the study of harmonic distortion, which, speaking from a simulation approach, is scarce in the literature. |
| format | Article |
| id | doaj-art-43125bd246a844499ab03ba4a1aad7c6 |
| institution | Kabale University |
| issn | 2578-1588 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Electronics and Electrical Engineering |
| spelling | doaj-art-43125bd246a844499ab03ba4a1aad7c62025-01-24T01:10:21ZengAIMS PressAIMS Electronics and Electrical Engineering2578-15882024-02-0181537010.3934/electreng.2024003Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution networkCristian Cadena-Zarate0Juan Caballero-Peña1German Osma-Pinto2Groupe de recherche industrielle en technologies de l'énergie et en efficacité énergétique (Groupe t3e), Département de génie électrique, École de technologie supérieure (ÉTS), Montréal, Québec, CanadaGrupo de Investigación en Sistemas de Energía Eléctrica (GISEL), Escuela de Ingenierías Eléctrica, Electrónica y de Telecomunicaciones, Universidad Industrial de Santander, Bucaramanga, Santander, ColombiaGrupo de Investigación en Sistemas de Energía Eléctrica (GISEL), Escuela de Ingenierías Eléctrica, Electrónica y de Telecomunicaciones, Universidad Industrial de Santander, Bucaramanga, Santander, ColombiaThe integration of distributed energy resources (DERs) and, therefore, power electronic devices into distribution networks leads to harmonic distortion injection. However, studying harmonic distortion solely through deterministic approaches presents challenges due to the inherent random behavior of DERs. This study introduced a strategy that leverages PowerFactory's harmonic load flow tool. By combining it with Python co-simulation, probabilistic load flows can be developed. These load flows utilize current sources to represent harmonic distortion emitters with predefined harmonic spectra. The proposed strategy was implemented on a real network, where two different capacities of DERs were integrated at various locations within the network. The distributions for the total harmonic distortion of voltage ($ THD_{v} $) and the total harmonic distortion of current ($ THD_{i} $) were obtained 24 hours a day in nodes and lines of the network. The procedure allowed considering the uncertainty associated to the DERs integration in distribution networks in the study of harmonic distortion, which, speaking from a simulation approach, is scarce in the literature.https://www.aimspress.com/article/doi/10.3934/electreng.2024003harmonicprobabilisticderspowerfactorypython |
| spellingShingle | Cristian Cadena-Zarate Juan Caballero-Peña German Osma-Pinto Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network AIMS Electronics and Electrical Engineering harmonic probabilistic ders powerfactory python |
| title | Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network |
| title_full | Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network |
| title_fullStr | Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network |
| title_full_unstemmed | Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network |
| title_short | Simulation-based probabilistic-harmonic load flow for the study of DERs integration in a low-voltage distribution network |
| title_sort | simulation based probabilistic harmonic load flow for the study of ders integration in a low voltage distribution network |
| topic | harmonic probabilistic ders powerfactory python |
| url | https://www.aimspress.com/article/doi/10.3934/electreng.2024003 |
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