Modelling of Partial Discharge Characteristics in Electrical Tree Channels: Estimating the PD Inception and Extinction Voltages

Zepeng Lv, Simon Rowland, Siyuan Chen, Hualong Zheng, Kai Wu

    Research output: Contribution to journalArticlepeer-review

    114 Downloads (Pure)

    Abstract

    Partial discharge (PD) characteristics are inherently linked to associated electrical tree growth characteristics. This paper employs both phase-resolved patterns and pulse-sequence analysis (PSA) to study PDs in a short branch-tree grown from a metallic needle tip. It is found that the shape of PSA dV-dV patterns vary with applied voltage; in particular the values of characteristic voltage difference increase with applied voltage. At 10 kV the value of characteristic voltage difference decreases with tree growth, the average number of PDs per cycle increases, the PD magnitudes decrease, and the characteristic wing-like phase-resolved pattern evolves into a turtle-like pattern. This paper proposes a physical model relating PD activity to tree development, considering space charge accumulation inside the tree channel. All key features of experimental results are explained by the model. It is shown that the characteristic voltage differences are determined by the local PD inception and extinction electric fields. These key parameters determining the PD events can be calculated giving a clear physical interpretation of PD measurements, which is invaluable to those using PD as a condition monitoring or asset management tool.
    Original languageEnglish
    JournalIEEE Transactions on Dielectrics and Electrical Insulation
    Volume25
    Issue number5
    DOIs
    Publication statusPublished - 8 Oct 2018

    Keywords

    • trees (insulation)
    • epoxy resin insulation
    • partial discharge (PD)
    • inception and extinction voltages
    • modeling

    Fingerprint

    Dive into the research topics of 'Modelling of Partial Discharge Characteristics in Electrical Tree Channels: Estimating the PD Inception and Extinction Voltages'. Together they form a unique fingerprint.

    Cite this