Estrategia Adaptativa para el Alivio de Carga en Sistemas Eléctricos de Potencia Basada en Regresión Lineal

Flavio Villacrés; Alexis Torres; Marlo Chamba; Carlos  Lozada

doi:10.37116/revistaenergia.v22.n1.2025.701

Adaptive Load Shedding Strategy for Power Systems Based on Linear Regression

Estrategia Adaptativa para el Alivio de Carga en Sistemas Eléctricos de Potencia Basada en Regresión Lineal

Published 2025-07-24

https://doi.org/10.37116/revistaenergia.v22.n1.2025.701

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Vol. 22 No. 1 (2025): Revista Técnica "energía", Edición No. 22, ISSUE I

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TECNOLÓGICOS E INNOVACIÓN

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Adaptive Load Shedding Strategy for Power Systems Based on Linear Regression. (2025). Revista Técnica "energía", 22(1), PP. 62-69. https://doi.org/10.37116/revistaenergia.v22.n1.2025.701

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https://doi.org/10.37116/revistaenergia.v22.n1.2025.701

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Adaptive Load Shedding Strategy for Power Systems Based on Linear Regression. (2025). Revista Técnica "energía", 22(1), PP. 62-69. https://doi.org/10.37116/revistaenergia.v22.n1.2025.701

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Flavio Villacrés

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https://orcid.org/0000-0002-5725-7312

Alexis Torres

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https://orcid.org/0009-0009-4670-8702

Marlon Chamba

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Carlos Lozada

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https://orcid.org/0000-0002-6036-3124

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Alexis Torres

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Adaptative load shedding

Frequency Stability

Inertia

Linear Regression

ROCOF

The balance between generation and demand is essential for frequency stability in electrical power systems. However, the increasing penetration of intermittent renewables has reduced the inertia of the system, exposing limitations in traditional frequency control schemes. To meet this challenge, an adaptive load relief scheme, based on the rate of change of frequency (ROCOF) and equivalent inertia, optimized by linear regression to enhance the system's response to contingencies, is suggested. The proposal is validated in the IEEE system of 39 bars, assessing N-1 contingencies and different levels of inertia. This research work demonstrates that the proposed scheme allows a more efficient frequency recovery with less load disconnection, surpassing conventional methods. In addition, the adaptive approach strengthens the resilience of the system, making it more flexible without compromising operational stability. This study highlights the need for smart, data-driven solutions to strengthen the stability of electricity systems, ensuring a safer and more sustainable supply in the context of adaptive electricity systems.

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