Experimental Research on Partial Discharge of High Voltage Direct Current

Author:

Zhang Jian,Xu Minhu,Guo Yun,Zhang Kexin,Liu Heqian,Zhao Xiangyu

Abstract

Abstract Under the action of long-term high-voltage DC voltage, the insulation of electrical equipment is inevitably aging, and it is necessary to monitor its insulation status. Since insulation defects of different nature damage electrical equipment to different degrees, the identification of defects is very important. To this end, a DC partial discharge detection system based on AC partial discharge detection equipment was built, focusing on key issues such as the choice of test power supply, the choice of test frequency, and the choice of pressurization methods. The successful completion of the on-site partial discharge test of UHV converter transformers has provided valuable practical experience for the future on-site partial discharge tests of UHV converter transformers, and provided important tests for the establishment of on-site partial discharge test standards for UHV converter transformers. in accordance with.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference7 articles.

1. Partial discharge detection on 320 kV VSC-HVDC XLPE cable with artificial defects under DC voltage;Gu;IEEE Transactions on Dielectrics and Electrical Insulation,2018

2. Optimization of wavelet and thresholding for partial discharge detection under HVDC;Wang;IEEE Transactions on Dielectrics and Electrical Insulation,2017

3. A new approach to partial discharge detection under DC voltage;Romano;IEEE Electrical Insulation Magazine,2018

4. Diagnostic of HVDC systems using partial discharges;Cavallini;IEEE Transactions on Dielectrics and Electrical Insulation,2011

5. Identification of insulation defects based on chaotic analysis of partial discharge in HVDC superconducting cable;Seo;IEEE Transactions on Applied Superconductivity,2015

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3