Harmonic state estimation based on graph signal processing | Zendy

Wang Ying | Zendy; Xu Rui | Zendy; Ma Xiaoyang | Zendy; Qiu Wei | Zendy; Fu Qiang | Zendy; Zhou Runze | Zendy

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Harmonic 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) - signal processing , computer science , graph , state (computer science) , signal (programming language) , estimation , algorithm , control theory (sociology) , theoretical computer science , artificial intelligence , digital signal processing , engineering , computer hardware , programming language , control (management) , systems engineering

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.

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