Data-driven Model-free Hosting Capacity Estimation in a Low Voltage Node
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| Format: | Artículo científico |
| Sprache: | en |
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Tecnológico Superior Rumiñahui
2024
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| _version_ | 1876476513593851904 |
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| author | Luis Daniel Andagoya-Alba |
| author_facet | Luis Daniel Andagoya-Alba |
| contents | Data-driven Model-free Hosting Capacity Estimation in a Low Voltage Node Luis Daniel Andagoya-Alba Johanna Jara Pablo Catota Rommel Valencia Multidisciplinarias (Ciencias Sociales) Data driven analyses Hosting Capacity Linear regression model Distributed energy resource Currently, distributed generation systems have been proposed to increase the energy's potential in electrical grids, however, the insertion of this form of energy generation can cause negative effects, like overvoltages, that can exceed the allowed levels by the local operator. For this reason, it is necessary to set a limit for the injection of distributed generation into the network. This parameter is called Hosting Capacity, which is used to restrict the power coming from distributed sources, while maintaining the normal functioning of the network. Some studies have been developed to define and calculate the Hosting Capacity, mainly based on scenario simulations, however, these need detailed and accurate network models which at low voltage levels are very difficult to have. This work focuses on determining a Hosting Capacity value in a low voltage node, using values from a smart meter. The proposed methodology implements a lineal regression model considering voltage and power consumption parameters. The results were validated through a network model obtaining voltage values lower to the limit, therefore, concluding that the proposed model is useful for calculating Hosting Capacity without employing a network model. 2024 artículo científico 2806-5875 https://www.redalyc.org/articulo.oa?id=777882632002 https://www.redalyc.org/journal/7778/777882632002/ https://www.redalyc.org/journal/7778/777882632002/html/ https://www.redalyc.org/journal/7778/777882632002/777882632002.epub https://www.redalyc.org/journal/7778/777882632002/movil 10.37431/conectividad.v5i3.134 en http://www.redalyc.org/revista.oa?id=7778 Conectividad application/pdf Tecnológico Superior Rumiñahui Conectividad (Ecuador) Num.3 Vol.5 |
| format | Artículo científico |
| id | redalyc_777882632002 |
| institution | Redalyc |
| language | en |
| publishDate | 2024 |
| publisher | Tecnológico Superior Rumiñahui |
| spellingShingle | Data-driven Model-free Hosting Capacity Estimation in a Low Voltage Node Luis Daniel Andagoya-Alba Multidisciplinarias (Ciencias Sociales) Data driven analyses Hosting Capacity Linear regression model Distributed energy resource Data-driven Model-free Hosting Capacity Estimation in a Low Voltage Node Luis Daniel Andagoya-Alba Johanna Jara Pablo Catota Rommel Valencia Multidisciplinarias (Ciencias Sociales) Data driven analyses Hosting Capacity Linear regression model Distributed energy resource Currently, distributed generation systems have been proposed to increase the energy's potential in electrical grids, however, the insertion of this form of energy generation can cause negative effects, like overvoltages, that can exceed the allowed levels by the local operator. For this reason, it is necessary to set a limit for the injection of distributed generation into the network. This parameter is called Hosting Capacity, which is used to restrict the power coming from distributed sources, while maintaining the normal functioning of the network. Some studies have been developed to define and calculate the Hosting Capacity, mainly based on scenario simulations, however, these need detailed and accurate network models which at low voltage levels are very difficult to have. This work focuses on determining a Hosting Capacity value in a low voltage node, using values from a smart meter. The proposed methodology implements a lineal regression model considering voltage and power consumption parameters. The results were validated through a network model obtaining voltage values lower to the limit, therefore, concluding that the proposed model is useful for calculating Hosting Capacity without employing a network model. 2024 artículo científico 2806-5875 https://www.redalyc.org/articulo.oa?id=777882632002 https://www.redalyc.org/journal/7778/777882632002/ https://www.redalyc.org/journal/7778/777882632002/html/ https://www.redalyc.org/journal/7778/777882632002/777882632002.epub https://www.redalyc.org/journal/7778/777882632002/movil 10.37431/conectividad.v5i3.134 en http://www.redalyc.org/revista.oa?id=7778 Conectividad application/pdf Tecnológico Superior Rumiñahui Conectividad (Ecuador) Num.3 Vol.5 |
| title | Data-driven Model-free Hosting Capacity Estimation in a Low Voltage Node |
| topic | Multidisciplinarias (Ciencias Sociales) Data driven analyses Hosting Capacity Linear regression model Distributed energy resource |
| url | https://www.redalyc.org/articulo.oa?id=777882632002 https://www.redalyc.org/journal/7778/777882632002/ https://www.redalyc.org/journal/7778/777882632002/html/ https://www.redalyc.org/journal/7778/777882632002/777882632002.epub https://www.redalyc.org/journal/7778/777882632002/movil |