• DocumentCode
    1721387
  • Title

    Phasor Measurement Units´ allocation in Unified Electrical Power Network of Egypt

  • Author

    El-Amary, N.H. ; Mostafa, Y.G. ; Mansour, M.M. ; Mekhamer, S.F. ; Badr, M.A.L.

  • Author_Institution
    Dept. of Electr. & Comput. Control, Arab Acad. for Sci. & Technol. (AAST), Cairo, Egypt
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a comparison between phasor measurement units´ (PMUs´) optimal allocation for system topological observability, and PMUs´ optimal number and locations for minimum state estimation residual error. A newly developed technique based on discrete particle swarm optimization (DPSO) is used in finding the PMUs´ optimal allocation for different system unobservability depth. For the optimal allocation of PMUs from the point of view of minimum state estimation residual error, a new methodology is used with a new hybrid state estimation technique. The comparison is applied to a large system depicted from unified electrical power network (UEPN) of Egypt. The simulation results are discussed in details.
  • Keywords
    particle swarm optimisation; phase measurement; power system measurement; power system state estimation; DPSO technique; Egypt; discrete particle swarm optimization; hybrid state estimation technique; phasor measurement unit optimal allocation; unified electrical power network; Electric variables measurement; Frequency synchronization; Global Positioning System; Particle swarm optimization; Phasor measurement units; Power measurement; Power system control; Power system protection; Power systems; State estimation; Discrete particle swarm optimization (DPSO); hybrid parameters state estimation; optimal allocation; phasor measurement units (PMUs); topological observability; tree search method (TSM); unobservability depth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5282059
  • Filename
    5282059