Title page for etd-0802113-141913


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URN etd-0802113-141913
Author Shih-Che Huang
Author's Email Address No Public.
Statistics This thesis had been viewed 5340 times. Download 543 times.
Department Electrical Engineering
Year 2012
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Distribution System Modeling Based on Dynamic State Estimation
Date of Defense 2013-08-16
Page Count 128
Keyword
  • Advanced Metering Infrastructure
  • smart distribution grid
  • Distribution State Estimation
  • Distribution Automation
  • dynamic state estimation
  • Abstract Distribution automation, demand response and advanced metering infrastructure (AMI) are three important elements of modern smart distribution grid. To achieve it, the real-time state estimate is required, and enable distribution system operators to get more system operation information. Due to the high investment in these systems, this study aims at creating an added value of AMI in order to achieve rational investment and improve system operations. By using the customer power usage data from smart meter and operational data from supervisory control and data acquisition (SCADA), this thesis proposes two distribution state estimation (DSE) techniques that can be used to set up a quasi-real-time model for distribution management in order to improve voltage quality and power restoration dispatch, and reduce system losses and network congestion. The proposed dynamic state estimation can be used to forecast system states in every 15 minutes, and based on the data obtained, distribution system operators can make informed decisions on load adjustment, voltage control and feeder reconfiguration.
    Advisory Committee
  • Ching-Tsai Pan - chair
  • Chang-Huan Liu - co-chair
  • Sheng-Nian Yeh - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0802113-141913.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2013-09-02

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