• DocumentCode
    1893640
  • Title

    Observability analysis and optimal placement of PMU using Differential Evolution algorithm

  • Author

    Venkateswaran, V.B. ; Kala, V.S.C.

  • Author_Institution
    S.R.M. Univ. Katiankulathur, Chennai, India
  • fYear
    2012
  • fDate
    13-15 Dec. 2012
  • Firstpage
    205
  • Lastpage
    209
  • Abstract
    Power system state estimator uses the set of available measurements in order to estimate the state of the system. For the given measurements, the network observability analysis will determine if a unique estimate can be found for the system state. Network observability analysis can be performed using either numerical or topological approaches. In this paper optimal number and location of phasor measurement unit is performed using Differential Evolution algorithm. In addition single phasor measurement unit loss is also considered. To verify our proposed approach, simulations on 6-bus test system and IEEE 14-bus, 30-bus, 57-bus and 118-bus system are performed.
  • Keywords
    IEEE standards; evolutionary computation; numerical analysis; phasor measurement; IEEE 118-bus system; IEEE 14-bus system; IEEE 30-bus system; IEEE 57-bus system; IEEE 6-bus test system; PMU; differential evolution algorithm; network observability analysis; numerical approaches; optimal placement; phasor measurement unit; power system state estimator; topological approaches; Differential Evolution (DE); Network Observability; Phasor Measurement Unit (PMU); State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-4633-7
  • Type

    conf

  • DOI
    10.1109/ICETEEEM.2012.6494461
  • Filename
    6494461