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Harmonic Transfer Characteristics Analysis of Distribution Networks Considering the Time-varying Correlation Features

  • Yuhao Ding
  • , Yuanyuan Sun
  • , Yahui Li
  • , Bowen Li
  • , Hao Yi
  • , Yaqiong Li
  • Shandong University
  • School of Electrical Engineering
  • State Grid Corporation of China

Research output: Contribution to journalArticlepeer-review

Abstract

With the increasing access volume of source-load-storage and control equipment in new distribution networks, the system structure is becoming more and more complicated and the harmonics show time-varying random characteristics, which makes it extremely difficult to analyze the harmonic transfer law in distribution networks. To clarify the transmission range and transfer law of harmonics between nodes in a new distribution network and guide the assessment of distribution network carrying capacity under distributed photovoltaic (PV) integration, this paper proposes a harmonic transfer characteristic analysis method considering the time-varying correlation characteristics of nodes. Firstly, the harmonic transfer coefficients between distribution network nodes are defined based on the harmonic transfer relationship between nodes, and the distribution network carrying capacity under distributed PV integration is obtained based on the transfer coefficients. Then, the modified cosine similarity is used to cluster the distribution network nodes and select the key nodes for regional division to realize the dimensionality reduction of the harmonic complex transmission relationship of the distribution network. Finally, this paper establishes a RBF-ARX-based harmonic transfer analysis model to evaluate the time-varying transfer characteristics of harmonics in the system by constructing input-output features considering time-varying correlations of nodes. The experimental results show that the proposed harmonic transfer characteristic analysis method can deeply explore the time-varying correlation characteristics of the harmonics between nodes, and efficiently analyze the complex harmonic transfer characteristics in distribution networks.

Translated title of the contribution计及节点时变美联特征的配电网谐波传递特性分析
Original languageEnglish
Pages (from-to)4491-4501
Number of pages11
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume46
Issue number11
DOIs
StatePublished - 5 Jun 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • data-driven
  • harmonic transfer coefficients
  • machine learning
  • time-varying correlation features

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