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Proximity effect modelling for cables of finite length using the hybrid partial element equivalent circuit and artificial neural network method

Proximity effect modelling for cables of finite length using the hybrid partial element equivalent circuit and artificial neural network method

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  • Author(s): Hongcai Chen 1  and  Yaping Du 2
    • View affiliations
  • Source: Volume 12, Issue 16, 11 September 2018, p. 3876 – 3882
    DOI:  10.1049/iet-gtd.2018.5392 , Print ISSN 1751-8687, Online ISSN 1751-8695
© The Institution of Engineering and Technology
Received 09/04/2018, Accepted 05/06/2018, Revised 29/04/2018, Published 16/07/2018

This study presents an efficient method for modelling the proximity effect in complex conductor systems. This method is based on a discretisation partial element equivalent circuit (DPEEC) scheme in combination with artificial neural network (ANN). Circuit parameters of a conductor system are obtained with DPEEC at low frequency. ANN trained with the low-frequency parameters is employed to predict proximity effect at high frequencies. The proposed method significantly improves the calculation efficiency in both time and memory consuming. The method is validated by comparing with the result obtained by MoM-SO. Case studies of closely-spaced cables with different configurations are analysed. It is applied to evaluate the lightning current in typical cable installations. The comparison among different configurations reveals that the proximity effect leads to uneven current distribution in cables. Cable modelling without considering the proximity effect could lead to significant errors in transient current analysis.

Inspec keywords: power cables; equivalent circuits; power engineering computing; installation; current distribution; conductors (electric); neural nets

Other keywords: artificial neural network method; closely-spaced cables; lightning current evalation; proximity effect modelling; low-frequency parameters; MoM-SO; complex conductor systems; DPEEC scheme; uneven current distribution; discretisation partial element equivalent circuit scheme; ANN; typical cable installations; hybrid partial element equivalent circuit; finite length cables

Subjects: Electrical contracting and installation; Power engineering computing; Power cables; General circuit analysis and synthesis methods; Neural computing techniques

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