Harmonic contribution determination based on change-point monitoring and shape context algorithm

Hang Liu, Tiefeng Ma, Yi Zhang, Shuangzhe Liu, Youran Wang, Junyu Guo

Research output: Contribution to journalArticlepeer-review

Abstract

In the power system, the harmonic is one of the important concerns of power quality, which has a significant impact on the safe operation of power grids and the energy efficiency for users. When there are not enough special harmonic monitoring devices installedon public transport, it is important to identify the harmonic source and assess the harmoniccontribution based on the load data of the user’s electricity meter. This paper proposes adata selection and matching idea based on change-point monitoring (CPM), canonical correlation analysis (CCA) and dynamic adjusted shape context (DASC) for determining theharmonic contributions of individual customers and utilities. In the proposed approach,the CPM is used to select the valuable data by detecting the violent fluctuation area ofharmonic voltage and the DASC to determine the harmonic contribution of individualcustomers by matching the user load sequence and harmonic voltage sequence based on CCA, filtering the harmonic contribution from the utility side. Simulation data is used toevaluate the performance of the method and a real-world case study is also conducted. It isfound that the proposed technique can be used to reveal the harmonic impact of the loadsif data is selected resonably
Original languageEnglish
Pages (from-to)453-466
Number of pages14
JournalIET Generation, Transmission & Distribution
Volume16
Issue number3
DOIs
Publication statusPublished - Feb 2022

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