Title page for etd-0714117-123420


[Back to Results | New Search]

URN etd-0714117-123420
Author Yu-Yang Lu
Author's Email Address No Public.
Statistics This thesis had been viewed 5351 times. Download 64 times.
Department Electrical Engineering
Year 2016
Semester 2
Degree Master
Type of Document
Language English
Title Meter Placement for Distribution System State Estimation Enhancement
Date of Defense 2017-07-26
Page Count 123
Keyword
  • Probabilistic Distribution System State Estimation
  • Graph Theory
  • Meter Placement
  • Distribution Network Observability Analysis
  • Abstract The observability analysis is an essential step in state estimation process. It determines whether the states of a system can be estimated using available measurements. This definition works well in transmission networks, where numerous accurate metering devices are normally available. However, in distribution networks, only a few metering devices are usually installed. Therefore, pseudo measurements with large margins of error are often used in the absence of real measurements to perform Distribution System State Estimation (DSSE). This implies that if many pseudo measurements are used to make a network observable, the estimated states can be significantly different from the actual state even if the network is classified as observable. This thesis proposes a proper observability requirement for DSSE based on estimation accuracy. The concept is to limit estimate error for each estimated parameter. This study incorporates graph theory and probability theory. The proposed meter placement algorithm provides candidate locations for additional meter placements. The candidate locations Simulations are conducted on three networks with seven meter placement methods. A probabilistic load flow technique based on point estimate method is used to validate the accuracy of DSSE results. The proposed method suggests a minimum number of additional meters and their locations to satisfy the observability requirement adopted in this research.
    Advisory Committee
  • Chin-Chung Wu - chair
  • Tsun-Yu Hsiao - co-chair
  • Jen-Hao Teng - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0714117-123420.pdf
  • Indicate in-campus at 1 year and off-campus access at 1 year.
    Date of Submission 2017-08-14

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys