Voltage Stability Margin Index Estimation Using a Hybrid Kernel Extreme Learning Machine Approach

Voltage Stability Margin Index Estimation Using a Hybrid Kernel Extreme Learning Machine Approach

This paper presents a novel approach for Voltage Stability Margin (VSM) estimation that combines a Kernel Extreme Learning Machine (KELM) with a Mean-Variance Mapping Optimization (MVMO) algorithm. Since the performance of a KELM depends on a proper parameter selection, the MVMO is used to optimize...

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Bibliographic Details
Main Authors: Walter M. Villa-Acevedo, Jesús M. López-Lezama, Delia G. Colomé
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Energies
Subjects:
kernel extreme learning machine algorithm
machine learning techniques
near real time
voltage stability assessment
voltage stability index
Online Access:https://www.mdpi.com/1996-1073/13/4/857

Internet

https://www.mdpi.com/1996-1073/13/4/857

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