Title page for etd-0529115-161104


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URN etd-0529115-161104
Author Bo-Yuan You
Author's Email Address No Public.
Statistics This thesis had been viewed 5372 times. Download 315 times.
Department Electrical Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Intelligent Transformer Management System
Date of Defense 2015-06-19
Page Count 91
Keyword
  • Hybrid Communication
  • Intelligent Transformer Management System
  • Conduit Mapping Management System
  • Transformer Terminal Unit
  • Abstract For the operation of transformers, the insulation oil temperature may become too high due to overloading condition, which may damage the transformer, thereby affecting the quality of power supply. The present practice of transformer over-loading prediction has been executed by analyzing the load characteristics of distribution transformers according to the typical load patterns and the monthly energy consumption of the customers served by the transformers. To achieve the on-line monitoring of transformer condition, this thesis proposes an intelligent transformer management system (iTMS) to support the asset management of distribution system.
    The iTMS includes transformer thermal unit (TTU), hybrid communication system and conduit mapping management system (CMMS). TTU includes power operation unit and temperature sampling unit. TTU measures the real-time transformer loading and insulation oil temperature. Hence, those information is sent to the control station and shown on the CMMS by the hybrid communication system, which includes power line carrier (PLC) technology, radio frequency (RF) technology and optic fiber technology. CMMS allows distribution system operators to secure the operation of each transformers. When abnormal operation condition such as overloading or high oil temperature occurs, the CMMS displays the geographic coordinates of the transformers and the fault information allowing distribution system operators to take preventive action to avoid contingency.
    Advisory Committee
  • Chia-Hung Lin - chair
  • Te-Tien Ku - co-chair
  • Jen-Hao Teng - co-chair
  • Chao-Shun Chen - advisor
  • Files
  • etd-0529115-161104.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2015-06-30

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