• DocumentCode
    1876353
  • Title

    Identifying critical measurements & sets for power system state estimation

  • Author

    Filho, Milton Brown Do Coutto ; De Souza, Julio Cesar Stacchini ; De Oliveira, Flavia Menezes Fernandes ; Schilling, Marcus Th

  • Author_Institution
    Inst. of Comput., Fluminense Fed. Univ., Rio de Janeiro, Brazil
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Abstract
    Data redundancy is an important prerequisite for state estimation. During system operation, critical redundancy levels can be reached, creating adverse conditions for the state estimation process, especially regarding data validation. In this paper a numerical algorithm for the identification of critical measurements and sets is proposed. Results covering its application to typical power system networks are presented and discussed
  • Keywords
    monitoring; observability; power system measurement; power system state estimation; redundancy; simulated annealing; critical measurements identification; critical redundancy levels; critical sets identification; data redundancy; data validation; numerical algorithm; observability; power system monitoring; power system networks; power system state estimation; Data acquisition; Loss measurement; Medical services; Observability; Power measurement; Power system analysis computing; Power system measurements; Power system reliability; Redundancy; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech Proceedings, 2001 IEEE Porto
  • Conference_Location
    Porto
  • Print_ISBN
    0-7803-7139-9
  • Type

    conf

  • DOI
    10.1109/PTC.2001.964911
  • Filename
    964911