Applications of Maximum Correntropy Criterion to Power System Problems

Various practical problems including power system problems have been solved using least squares methods as basic techniques. However, the methods cannot be applied when outliers exist in data or errors are not normally distributed. In order to tackle the challenge, various methods have been developed. Recently, maximum correntropy criterion (MCC) has been proposed in the signal processing field and it has been verified to be effectively applicable to various problems including power system problems. This paper briefly overviews the MCC and summarizes MCC applications to power system problems. Applications to distribution system state estimation and connection phase estimation of pole mounted distribution transformers are shown as examples.

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Publication Details

Journal
IEEJ Transactions on Power and Energy
Published
2024-10-31
DOI
https://doi.org/10.1541/ieejpes.144.564
Primary Topic
Differential Equations and Numerical Methods
Type
article
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article

Applications of Maximum Correntropy Criterion to Power System Problems

Yoshikazu Fukuyama
IEEJ Transactions on Power and Energy
Differential Equations and Numerical Methods
article

Applications of Maximum Correntropy Criterion to Power System Problems

Yoshikazu Fukuyama
article en

Abstract

Various practical problems including power system problems have been solved using least squares methods as basic techniques. However, the methods cannot be applied when outliers exist in data or errors are not normally distributed. In order to tackle the challenge, various methods have been developed. Recently, maximum correntropy criterion (MCC) has been proposed in the signal processing field and it has been verified to be effectively applicable to various problems including power system problems. This paper briefly overviews the MCC and summarizes MCC applications to power system problems. Applications to distribution system state estimation and connection phase estimation of pole mounted distribution transformers are shown as examples.

IEEJ Transactions on Power and EnergyVol. 144(11)
Meiji University (JP)
Affordable and clean energy
Openalex Percentile: Top 71%
Differential Equations and Numerical Methods
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