Publicado

2024-01-30

Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations

Modelizado de Carga Basado en Datos para Redes de Distribución Activa: Revisión y Recomendaciones

Palabras clave:

Active distribution network, Data-Based models, Distributed energy resources, Dynamic models, Load Modeling, measurement-based models parameterization, static models (en)
Modelizado de carga, modelos basados en datos, modelos dinámicos, parametrización de modelos basados en mediciones, Recursos energéticos distribuidos., Red de distribución activa (es)

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Autores/as

  • Daladier Osorio Vasquez Universidad Tecnologica de Pereira
  • Sandra Milena Pérez Londoño Universidad Tecnológica de Pereira
  • Juan José Mora Flórez Universidad Tecnológica de Pereira

Electric systems are experiencing strong and fast development, mainly motivated by the carbon reduction policies at
the energy sector and the technological developments which introduces new elements and processes. In this everevolving context, the transition to active distribution networks (ADNs) represents a significant technological
advancement. Having accurate models for each device present in ADNs is crucial for proper representation of their
dynamics. However, load modeling poses challenges due to the wide diversity of load components, variations over
time, and dependence on climate. Despite these challenges, understanding load behavior is fundamental for efficient
planning and operation of ADNs. Therefore, having precise load models is indispensable for conducting preventive
and forensic studies. This article presents an analysis of various articles from the most relevant scientific databases,
specifically focusing on the challenge of measurement-based load modeling in ADNs. The main contribution of this
document lies in enhancing the representation and understanding of loads in ADNs through the analysis of current
approaches, challenges, and measurement-base modeling strategies. Additionally, it aims to serve as a reference for
future research in the field of load modeling.

Los sistemas eléctricos están experimentando un desarrollo rápido y sólido, impulsado principalmente por políticas de reducción de carbono en el sector energético y avances tecnológicos que introducen nuevos elementos y procesos. En este contexto en constante evolución, la transición hacia redes de distribución activas (ADNs) representa un significativo avance tecnológico. Contar con modelos precisos para cada dispositivo presente en las ADNs es crucial para una representación adecuada de su dinámica. Sin embargo, el modelado de la carga presenta desafíos debido a la gran diversidad de componentes de carga, las composiciones que varían en el tiempo y la dependencia del clima. A pesar de estos desafíos, comprender el comportamiento de la carga es fundamental para la planificación y operación eficiente de las ADNs. Por lo tanto, disponer de modelos de carga precisos es indispensable para realizar estudios preventivos y forenses. En este artículo, se presenta un análisis de diversos artículos provenientes de las bases de datos científicas más relevantes, centrándose específicamente en el desafío del modelado de carga basado en mediciones en las ADNs. La principal contribución de este documento radica en mejorar la representación y comprensión de las cargas en ADNs, a través del análisis de enfoques actuales, desafíos y estrategias de modelizado basado en mediciones. Además, busca servir como referencia para investigaciones futuras en el campo del modelado de carga.

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Cómo citar

APA

Osorio Vasquez, D., Pérez Londoño, S. M. y Mora Flórez, J. J. (2024). Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations. Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, 11. https://revistas.unal.edu.co/index.php/SICEL/article/view/110051

ACM

[1]
Osorio Vasquez, D., Pérez Londoño, S.M. y Mora Flórez, J.J. 2024. Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations. Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL. 11, (ene. 2024).

ACS

(1)
Osorio Vasquez, D.; Pérez Londoño, S. M.; Mora Flórez, J. J. Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations. SICEL 2024, 11.

ABNT

OSORIO VASQUEZ, D.; PÉREZ LONDOÑO, S. M.; MORA FLÓREZ, J. J. Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations. Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, [S. l.], v. 11, 2024. Disponível em: https://revistas.unal.edu.co/index.php/SICEL/article/view/110051. Acesso em: 15 feb. 2025.

Chicago

Osorio Vasquez, Daladier, Sandra Milena Pérez Londoño, y Juan José Mora Flórez. 2024. «Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations». Simposio Internacional Sobre La Calidad De La Energía Eléctrica - SICEL 11 (enero). https://revistas.unal.edu.co/index.php/SICEL/article/view/110051.

Harvard

Osorio Vasquez, D., Pérez Londoño, S. M. y Mora Flórez, J. J. (2024) «Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations», Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, 11. Disponible en: https://revistas.unal.edu.co/index.php/SICEL/article/view/110051 (Accedido: 15 febrero 2025).

IEEE

[1]
D. Osorio Vasquez, S. M. Pérez Londoño, y J. J. Mora Flórez, «Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations», SICEL, vol. 11, ene. 2024.

MLA

Osorio Vasquez, D., S. M. Pérez Londoño, y J. J. Mora Flórez. «Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations». Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, vol. 11, enero de 2024, https://revistas.unal.edu.co/index.php/SICEL/article/view/110051.

Turabian

Osorio Vasquez, Daladier, Sandra Milena Pérez Londoño, y Juan José Mora Flórez. «Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations». Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL 11 (enero 30, 2024). Accedido febrero 15, 2025. https://revistas.unal.edu.co/index.php/SICEL/article/view/110051.

Vancouver

1.
Osorio Vasquez D, Pérez Londoño SM, Mora Flórez JJ. Data-Based Load Modeling for Active Distribution Networks: Review and Recommendations. SICEL [Internet]. 30 de enero de 2024 [citado 15 de febrero de 2025];11. Disponible en: https://revistas.unal.edu.co/index.php/SICEL/article/view/110051

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