Orthogonal Matching Pursuit-Based Harmonic Source Localization Technology for Unobservable Distribution Networks

The traditional harmonic state estimation methods are unable to cope with the unappreciable harmonic states caused by the insufficient grid measurement configuration in practical applications, and thus have greater limitations in the application of the unknown harmonic source localisation problem. To address this situation, the paper proposes an unknown harmonic source localisation technique based on orthogonal matching pursuit (OMP) for unobservable systems. Firstly, the harmonic injection currents of sparse signal buses with low attenuation speed are selected as state variables to reconstruct the traditional harmonic state estimation equations; secondly, the OMP algorithm is proposed to achieve the accurate localisation of unknown harmonic sources and the precise calculation of harmonic currents. Finally, the simulation proves that the proposed method has high positioning accuracy, computational precision and operation speed in the multiharmonic source positioning work.

Authors

Institutions

Publication Details

Published
2025-08-20
DOI
https://doi.org/10.1109/psgec66102.2025.11151080
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Orthogonal Matching Pursuit-Based Harmonic Source Localization Technology for Unobservable Distribution Networks

Bei Han, Pan Wu, Keyou Wang, Lingji Hua
Speech and Audio Processing
article

Orthogonal Matching Pursuit-Based Harmonic Source Localization Technology for Unobservable Distribution Networks

Bei Han, Pan Wu, Keyou Wang, Lingji Hua
article en

Abstract

The traditional harmonic state estimation methods are unable to cope with the unappreciable harmonic states caused by the insufficient grid measurement configuration in practical applications, and thus have greater limitations in the application of the unknown harmonic source localisation problem. To address this situation, the paper proposes an unknown harmonic source localisation technique based on orthogonal matching pursuit (OMP) for unobservable systems. Firstly, the harmonic injection currents of sparse signal buses with low attenuation speed are selected as state variables to reconstruct the traditional harmonic state estimation equations; secondly, the OMP algorithm is proposed to achieve the accurate localisation of unknown harmonic sources and the precise calculation of harmonic currents. Finally, the simulation proves that the proposed method has high positioning accuracy, computational precision and operation speed in the multiharmonic source positioning work.

Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 70%
Speech and Audio Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Orthogonal Matching Pursuit-Based Harmonic Source Localization Technology for Unobservable Distribution Networks — Bei Han, Pan Wu, et al. · (2025) | TGRS Research Map | TGRS