Title page for etd-0624113-144909


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URN etd-0624113-144909
Author Kuo-chun Ting
Author's Email Address No Public.
Statistics This thesis had been viewed 5574 times. Download 294 times.
Department Electrical Engineering
Year 2012
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Utilizing Smart Feeder Terminal Units and Fault Indicators to Realize Distributed Fault Locations
Date of Defense 2013-07-18
Page Count 79
Keyword
  • Smart Grid
  • Distribution Automation System
  • Smart Feeder Terminal Unit
  • Fault Indicator
  • Fault Location
  • Distribution Generator
  • Abstract Feeder Terminal Unit (FTU) is one of the most important equipment in Distribution Automation System (DAS). In order to achieve self-management and auto-healing functions for distribution systems, the function of traditional FTU in DAS and Smart Grid (SG) need to be upgraded. Therefore, a smart FTU (SFTU) is designed in this thesis and its prototype is also implemented. The embedded system, multiple communication interfaces and database are designed and integrated into the proposed SFTU. The power quality data and the statuses of Fault Indicators (FIs) in the feeder can be acquired and be saved to the database subsequently. When faults occurred, the fault locations don’t need to be identified by control center. Instead, the FIs’ statuses saved in the database of the proposed SFTU can be used to identify fault locations. The distributed control capacities can be realized in the proposed SFTU consequently. In order to identify the fault locations effectively, a fast fault location method for distribution systems with distributed generators is also proposed in this thesis. Multiple faults occurred simultaneously can also be effectively identified by the proposed fast fault location method. Test results for an actual distribution system demonstrate the validity of the proposed fast fault location method with the proposed SFTU. As a result, the proposed SFTU has great potential to be integrated into SG to achieve the self-management and auto-healing functions.
    Advisory Committee
  • Chun-Lien Su - chair
  • Yi-Hua Liu - co-chair
  • Tzung-Lin Lee - co-chair
  • Jen-Hao Teng - advisor
  • Files
  • etd-0624113-144909.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2013-08-20

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