• DocumentCode
    2007734
  • Title

    Considering weighted least square techniques on power system state estimation

  • Author

    Tripathi, Pankaj ; Rahul, Jinendra ; Radhamohan, Nim Anurag

  • Author_Institution
    Electr. Eng. Dept., SKIT, Jaipur, India
  • fYear
    2015
  • fDate
    27-28 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Power system state estimation is one of the function performed in the modern control centers. It is a technique which provides an estimate of system state which is a phasor of voltage magnitude and angles at different nodes of the system. State estimation (SE) is the backbone of energy management system (EMS) by playing important role of monitoring and control of power system. At the energy control centre there may be involvement of imperfect or bad measurement so that state estimation process estimate the true value of the state variable. This paper present study of Weighted Least Square (WLS) method for 6-bus sample power system and IEEE 30-bus power system and our data show its effectiveness.
  • Keywords
    energy management systems; least mean squares methods; power system control; power system measurement; power system state estimation; EMS; IEEE 30-bus power system; energy control centre; energy management system; modern control center; power system control; power system monitoring; power system state estimation; state variable; voltage magnitude phasor; weighted least square techniques; Noise; Noise measurement; Power measurement; Power system stability; State estimation; Voltage measurement; Energy management system (EMS); IEEE 30-bus standard load flow test; State Estimation (SE); Supervisory control and data acquisition system (SCADA); Weighted Least Square (WLS) method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Economics and Environment (ICEEE), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4673-7491-0
  • Type

    conf

  • DOI
    10.1109/EnergyEconomics.2015.7235115
  • Filename
    7235115