Assessment of the health status of Medium Voltage lines through a complex neural network

Bindi, Marco; Luchetta, Antonio; Scarpino, Pietro Antonio; Piccirilli, Maria Cristina; Grasso, Francesco; Sturchio, Alfonso

doi:10.23919/aeit53387.2021.9627068

Cited by 2 publications

(1 citation statement)

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“…The utilization of PD for the diagnosis of XLPE cables has emerged as one of the fundamental technologies employed for assessing the condition of cables in power grids globally [13][14][15]. The PD parameter, which plays a significant role in reflecting the insulation condition of cables, maintains a close relationship with the overall insulation condition.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Power Cable Status Evaluation Method Based on Electrical Tree Growth and Data Association Rules

Wang,

et al. 2023

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The partial discharge (PD) analysis method has remained one of the key technologies for cable condition assessment to diagnose cable operation state. In this paper, two power cable status evaluation methods are proposed based on electrical tree growth and data association rules, respectively. First, in the field of molecular thermodynamics, based on the law of energy conservation of electrical tree growth, this paper studies the relationship between PD signals in cable insulation and the length of the electrical tree. By using the length of electrical tree growth to calculate the probability of PD failure of cables, a cable state assessment method based on electrical tree growth is proposed. Second, for power cable status evaluation, the strong concealment characteristics of cables result in a long power supply recovery time and a serious threat to power supply reliability. Therefore, a group of comprehensive cable status parameters are set by analyzing the status parameters based on data association rules. The comprehensive state of power cables is divided into four elements, and the weight coefficients of cable states are calculated based on data association rule methods. Finally, the simulation results verify the effectiveness and accuracy for the two different power cable status evaluation methods.

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Section: Introductionmentioning

confidence: 99%