• DocumentCode
    3591582
  • Title

    State estimation through optimally placed PMU

  • Author

    Deswal, Amita ; Jain, D.K. ; Singh, Mukhtiar

  • Author_Institution
    EE Dept., Deenbandhu Chottu Ram Univ. of Sci. & Technol., Sonipat, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Phase Measurement Units (PMUs) have become the most popular and reliable device for the monitoring of power system network because it provides the real time voltage and current phasors, synchronized with Global Positioning System (GPS). For the observability of system, an Integer Linear Programming (ILP) method is used. It also reduces the number of PMUs and maximizes the measurement redundancy in the power system buses. This paper utilizes two approaches, Newton Raphson method and Weight Least Squares (WLS) state estimation method for estimating voltage magnitude and phase angles at each bus. The true value obtained from NR method is compared with the estimated values obtained from WLS with and without inclusion of PMU measurements. The employed techniques are tested on IEEE-14 and 30 bus system for determining the optimal points of placement of PMUs to measure the accurate voltage magnitude and phase angle at each bus.
  • Keywords
    Newton-Raphson method; integer programming; least squares approximations; linear programming; phase measurement; phasor measurement; state estimation; voltage measurement; Newton Raphson method; integer linear programming method; optimally placed PMU; phase angle estimation; phase measurement units; power system network monitoring; voltage magnitude estimation; weight least squares state estimation method; Load flow; Mathematical model; Phasor measurement units; Sea measurements; State estimation; Voltage measurement; Integer Linear programming method; Load Flow; Newton Raphson Method; Phase Measurement Unit; State Estimation; Weight Least Squares Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power India International Conference (PIICON), 2014 6th IEEE
  • Print_ISBN
    978-1-4799-6041-5
  • Type

    conf

  • DOI
    10.1109/34084POWERI.2014.7117768
  • Filename
    7117768