Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks
Abstract As the penetration level of renewable energies increases, many inverter‐based resources (IBRs) managing algorithms are proposed to control the impact of this penetration on the system. Some of these algorithms are based on a local control without visualizing the status of the whole network...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Generation, Transmission & Distribution |
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| Online Access: | https://doi.org/10.1049/gtd2.13343 |
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| author | Ameen Gargoom Mohammed Elmusrati Ahmed Gaouda |
| author_facet | Ameen Gargoom Mohammed Elmusrati Ahmed Gaouda |
| author_sort | Ameen Gargoom |
| collection | DOAJ |
| description | Abstract As the penetration level of renewable energies increases, many inverter‐based resources (IBRs) managing algorithms are proposed to control the impact of this penetration on the system. Some of these algorithms are based on a local control without visualizing the status of the whole network and others are based on a centralized control approach that results in dynamic settings without considering the mutual sensitivity among different IBRs. Hence, flexible management of IBRs to be simultaneously controlled either locally or remotely and satisfy technical and fair utilization at IBRs and systems levels becomes essential. The proposed flexible management algorithm suggested a dynamic setting that estimates the mutual sensitivity among IBRs at the system level and assures fairness among different owners. This mutual sensitivity link provides a quantifying measure of IBRs injected power on the status of the whole network. Furthermore, this measure defines dynamic clusters' boundaries that are continuously updated by including the most sensitive IBRs and updating their dynamic settings. This update takes place as system configuration, loads, and available sun‐power change in order to satisfy the flexible management algorithm without impacting fairness. The algorithm is applied on a sample DN and imposes compliance with system standard limits within a time‐frame of the stand‐alone LoRaWAN communication platform. |
| format | Article |
| id | doaj-art-e736535c16a44e7dbe29f9113166f171 |
| institution | DOAJ |
| issn | 1751-8687 1751-8695 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj-art-e736535c16a44e7dbe29f9113166f1712025-08-20T02:48:17ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-12-0118244134415310.1049/gtd2.13343Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networksAmeen Gargoom0Mohammed Elmusrati1Ahmed Gaouda2School of EngineeringDeakin UniversityGeelongAustraliaSchool of Technology and Innovations, Computing SciencesUniversity of VaasaVaasa FinlandElectrical Technology Department Collage of Electrical and Electronics Technology Benghazi LibyaAbstract As the penetration level of renewable energies increases, many inverter‐based resources (IBRs) managing algorithms are proposed to control the impact of this penetration on the system. Some of these algorithms are based on a local control without visualizing the status of the whole network and others are based on a centralized control approach that results in dynamic settings without considering the mutual sensitivity among different IBRs. Hence, flexible management of IBRs to be simultaneously controlled either locally or remotely and satisfy technical and fair utilization at IBRs and systems levels becomes essential. The proposed flexible management algorithm suggested a dynamic setting that estimates the mutual sensitivity among IBRs at the system level and assures fairness among different owners. This mutual sensitivity link provides a quantifying measure of IBRs injected power on the status of the whole network. Furthermore, this measure defines dynamic clusters' boundaries that are continuously updated by including the most sensitive IBRs and updating their dynamic settings. This update takes place as system configuration, loads, and available sun‐power change in order to satisfy the flexible management algorithm without impacting fairness. The algorithm is applied on a sample DN and imposes compliance with system standard limits within a time‐frame of the stand‐alone LoRaWAN communication platform.https://doi.org/10.1049/gtd2.13343distributed power generationdistribution planning and operationovervoltagephotovoltaic power systems |
| spellingShingle | Ameen Gargoom Mohammed Elmusrati Ahmed Gaouda Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks IET Generation, Transmission & Distribution distributed power generation distribution planning and operation overvoltage photovoltaic power systems |
| title | Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks |
| title_full | Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks |
| title_fullStr | Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks |
| title_full_unstemmed | Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks |
| title_short | Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks |
| title_sort | dynamic sensitivity based clustering of distributed energy resources using lorawan technology for voltage regulation in distribution networks |
| topic | distributed power generation distribution planning and operation overvoltage photovoltaic power systems |
| url | https://doi.org/10.1049/gtd2.13343 |
| work_keys_str_mv | AT ameengargoom dynamicsensitivitybasedclusteringofdistributedenergyresourcesusinglorawantechnologyforvoltageregulationindistributionnetworks AT mohammedelmusrati dynamicsensitivitybasedclusteringofdistributedenergyresourcesusinglorawantechnologyforvoltageregulationindistributionnetworks AT ahmedgaouda dynamicsensitivitybasedclusteringofdistributedenergyresourcesusinglorawantechnologyforvoltageregulationindistributionnetworks |