Research on Radio Interference of AC/DC Parallel Transmission Line 2nd China International Youth Conference on Electrical Engineering CIYCEE 2021

报告详情

Research on Radio Interference of AC/DC Parallel Transmission Line

编号：208 访问权限：仅限参会人更新：2021-12-03 10:48:02 浏览：598次口头报告

报告开始：2021年12月16日 11:30（Asia/Shanghai）

报告时间：15min

所在会场：[D] High voltage and insulation technology [D4] Session 22

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摘要

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%.

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报告人

Liu Siyu

Three Gorges University

稿件作者

zheng xinyi Three Gorges University

Liu Siyu Three Gorges University

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重要日期

会议日期

07月11日

2023

至

08月18日

2023
11月10日 2021

初稿截稿日期
12月10日 2021

注册截止日期
12月11日 2021

报告提交截止日期

主办单位

IEEE IAS

承办单位

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