Testing High Voltage (200kv) Dc Cable And Feed-Through Designs In Rep-Rated Modes

2017 IEEE 21ST INTERNATIONAL CONFERENCE ON PULSED POWER (PPC)(2017)

引用 1|浏览20
暂无评分
摘要
We have constructed a Component Test Stand (CTS) to test various high voltage components to be utilized in near future pulsed-power devices. In addition to cable and oil feed-through design voltage hold off, different types of high voltage switches will be evaluated. The system contains two switches connected in series separated by similar to 60 ns worth of high voltage cable. The configuration is such that triggering the first switch enables the triggering of the second switch. This way we can evaluate the performance of two switches at the same time and study the influence of one switch on the other. A software system similar to LabView is designed and built to operate and collect data in a rep-rated mode. The two switches are immersed in transformer oil tanks and pressurized with dry air. The present paper will mainly present a cable-oil feed-through design evaluation as a function of repetition rate. The rep-rate will be adjusted to not affect the cable voltage hold-off as well as switch performance. The rep-rate is necessary in order to obtain component lifetime results in a reasonably short time. Apparently the transformer oil in a high voltage DC environment behaves much differently than in AC. Its behavior is similar to a weak electrolyte, and space charge effects seriously affect the current through it as well as the field distribution. This consideration is quite important in designing the proper high voltage DC cable-oil feedthroughs.
更多
查看译文
关键词
high voltage DC environment,rep-rate modes,oil feed-through design voltage hold off,space charge effects,component lifetime results,switch performance,cable voltage hold-off,repetition rate,cable-oil feed-through design evaluation,transformer oil tanks,high voltage cable,high voltage switches,future pulsed-power devices,high voltage components,Component Test Stand,feed-through designs,voltage 200.0 kV,time 60.0 ns
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要