DC Arc Fault Detection and Protection in DC Based Electrical Power Systems
Main Author: | |
---|---|
Language: | English |
Published: |
The Ohio State University / OhioLINK
2015
|
Subjects: | |
Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1429857592 |
id |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu1429857592 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu14298575922021-08-03T06:30:45Z DC Arc Fault Detection and Protection in DC Based Electrical Power Systems Yao, Xiu Electrical Engineering DC based electrical power systems are required in many emerging applications, such as more electric aircraft, hybrid electric vehicle, photovoltaic power plant, residential microgrid, etc. A very challenging problem in dc systems is arc faults. They can be caused by loose connections or degraded insulation, where very small air gaps are created. The voltage difference across the small gap will initiate a plasma arcing channel with extremely high temperature. If not detected and extinguished in time, arc faults could endanger adjacent circuits and eventually cause fire hazards. Although it is very crucial to minimize the impact of dc arc faults through timely detection and extinguishing, the research topic of dc arc fault detection and system level protection has not been studied very closely before. It is quite recent that dc systems are being used extensively for power distribution. Moreover, modern energy sources and power electronics based loads in aforementioned applications also make this research topic more challenging. This work proposes a novel detection scheme to improve the detection accuracy and to reduce unwanted false tripping. It has been achieved by investigating physical characteristics of the dc arc and analyzing the arc current signals. The voltage-current characteristics of the dc arc as well as the high frequency arc noise is modeled and analyzed. This model enables an accurate simulation study of the dc arc. A new detection scheme based on two arc signatures from both time domain and time-frequency domain is proposed and verified through experiments. This strategy increases the detection accuracy and reduces the possibility of false trip. Moreover, the impact of dc arc to a larger system, e.g. a dc microgrid with multiple voltage sources and multiple resistive loads, is studied. The interactions between dc arc faults and two typical microgrid control strategies are also analyzed. The final portion of this research is focused on system level detection and protection. A comprehensive dc arc fault detection and protection scheme which can be integrated with the existing protection system of a dc microgrid is proposed in order to improve protection efficiency and minimize additional hardware/software installations. 2015-05-21 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1429857592 http://rave.ohiolink.edu/etdc/view?acc_num=osu1429857592 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
collection |
NDLTD |
language |
English |
sources |
NDLTD |
topic |
Electrical Engineering |
spellingShingle |
Electrical Engineering Yao, Xiu DC Arc Fault Detection and Protection in DC Based Electrical Power Systems |
author |
Yao, Xiu |
author_facet |
Yao, Xiu |
author_sort |
Yao, Xiu |
title |
DC Arc Fault Detection and Protection in DC Based Electrical Power Systems |
title_short |
DC Arc Fault Detection and Protection in DC Based Electrical Power Systems |
title_full |
DC Arc Fault Detection and Protection in DC Based Electrical Power Systems |
title_fullStr |
DC Arc Fault Detection and Protection in DC Based Electrical Power Systems |
title_full_unstemmed |
DC Arc Fault Detection and Protection in DC Based Electrical Power Systems |
title_sort |
dc arc fault detection and protection in dc based electrical power systems |
publisher |
The Ohio State University / OhioLINK |
publishDate |
2015 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1429857592 |
work_keys_str_mv |
AT yaoxiu dcarcfaultdetectionandprotectionindcbasedelectricalpowersystems |
_version_ |
1719438179318104064 |