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Research on Radio Interference of AC/DC Parallel Transmission Line
ID：208 View Protection：ATTENDEE Updated Time：2021-12-03 10:48:02 Hits：1031 Oral Presentation

Start Time：2021-12-16 11:30（Asia/Shanghai）

Duration：15min

Session：D High voltage and insulation technology » D4Session 22

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Abstract
The radio interference generation mechanism of AC-DC parallel transmission lines is different from that of conventional lines, so that the prediction model is either too rough and leads to large errors, or too complicated to be mastered by engineers. In order to take into account the accuracy of radio interference solution and engineering practicability, an error back-propagation feedforward neural network model combined with gray correlation theory is proposed. First, the gray theory screening of multiple impact indicators of radio interference, and then the indicators that have a real impact on radio interference as input variables, the BP neural network fitting algorithm is used to predict the radio interference. Validation combined with the actual measured radio interference samples of the AC-DC parallel transmission lines that have been put into operation, the results show that compared with the traditional algorithm, the prediction accuracy of the BP neural network prediction model is improved by 13.58%.
Keywords
Speaker
Liu Siyu
Three Gorges University

Submission Author
zheng xinyi Three Gorges University
Liu Siyu Three Gorges University
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Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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