Open AccessHarmonic state estimation based on graph signal processing
Author(s) -
Wang Ying,
Xu Rui,
Ma Xiaoyang,
Qiu Wei,
Fu Qiang,
Zhou Runze
Publication year - 2022
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12352
Subject(s) - graph , computer science , algorithm , signal processing , laplacian matrix , electrical impedance , harmonic analysis , harmonic , signal (programming language) , mathematical optimization , mathematics , electronic engineering , theoretical computer science , digital signal processing , engineering , physics , quantum mechanics , computer hardware , electrical engineering , programming language
This paper presents a novel harmonic state estimation (HSE) methodology based on graph signal processing. The proposed approach can perform HSE without calculating harmonic impedance. The proposed methodology involves graph signal theory for constructing a graph Laplacian matrix and an unconstrained optimization function, the adaptive K ‐means algorithm for building a prior information model of the target bus, as well as data fuzzification and the domain averaging method for state estimation. Simulations are carried out using a 30‐bus power distribution system, and results are presented and discussed to prove the efficiency of the proposed method. The practical application further verifies the availability of the proposed method.