Stress grading system optimisation for an inverter‐fed rotating machine

Author:

Wang Peng1ORCID,Zhao Wenhuan1ORCID,Zhang Yue2,Yang Shuai2ORCID,Cavallini Andrea3,Yu Chaofan1ORCID,Cheng Chizhou1,Zhu Yingwei1

Affiliation:

1. Electrical Engineering Department Sichuan University Chengdu Sichuan China

2. D & R, Dongfang Electric Machinery CO., LTD Deyang Sichuan China

3. Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” University of Bologna Bologna Italy

Abstract

AbstractStress grading systems using non‐linear resistive coatings are a key component to suppress surface corona in the end‐windings of rotating machine. Compared to a sinusoidal‐fed motor, the high slew rate of the voltage at the flanks of the repetitive square voltages from the inverter cause large capacitive currents to flow in the main wall insulation. These large currents, if not properly considered in the design phase, lead to severe electrothermal stress of the grading system. Experiments and simulations were conducted on a stress grading system whose structure arises from limitation posed by the motor structure. Measurements performed with different rise times show that the maximum potential along the conductive armour tape (CAT) increases non‐linearly with increasing axial distance, and the potential at the edge of the CAT reached nearly twice the peak‐to‐peak voltage at 500 ns rise time, leading to corona inception. As metal plates are used in the machine to dampen vibrations in the end‐winding, similar plates were also fastened to the stress grading system, worsening the already inadequate corona suppression performance. The stress grading system was therefore modified, avoiding the surface corona while, at the same time, reducing the temperature in the grading system to acceptable levels.

Funder

National Natural Science Foundation of China

Science and Technology Department of Sichuan Province

Publisher

Institution of Engineering and Technology (IET)

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