Data-centric approach for online P-margin estimation from noisy phasor measurements

Data-centric approach for online P-margin estimation from noisy phasor measurements

A new estimation method for load P-margin of transmission systems is proposed by using machine learning techniques. The estimation solution uses a reduced number of features as inputs to the machine learning algorithm and does not rely on power flow measurements, avoiding using time-varying grid par...

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Bibliographic Details
Main Authors: Felipe Proença de Albuquerque, Rafael Nascimento, Luisa H.B. Liboni, Ronaldo F. Ribeiro Pereira, Eduardo Coelho Marques da Costa
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
Voltage stability
Load P margin estimation
Machine learning
Noise on phasor measurements
Explainable AI
Regression methods
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723012520

Internet

http://www.sciencedirect.com/science/article/pii/S2352484723012520

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