• DocumentCode
    254032
  • Title

    Causality assessment for power quality stationary disturbances

  • Author

    Pavas, Andres ; Garzon, Camilo

  • Author_Institution
    PAAS-UN Group, Univ. Nac. de Colombia, Bogota, Colombia
  • fYear
    2014
  • fDate
    12-15 Oct. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The location of power quality disturbances origin has been widely studied but remains unsolved so far. As disturbances location cannot be established, any evaluation regarding the cause of such disturbances cannot be completely provided either. The Method of Disturbances Interaction - MDI has proven to provide a solution to quantify the contribution of each circuit connected to a point of common coupling, allowing to identify where disturbances are concentrated. This paper goes further analysing the indicators derived from MDI in order to identify the causes of stationary power quality disturbances. Causality is evaluated by means of statistical procedures typically employed in epidemiology. Based on the results a novel discussion on responsibilities assignment is presented.
  • Keywords
    power distribution reliability; power supply quality; statistical analysis; MDI; causality assessment; disturbance location; method of disturbances interaction; power quality stationary disturbances; statistical procedures; Correlation; Current measurement; Distortion measurement; Power measurement; Power quality; Time measurement; Voltage measurement; Causality; Disturbances origin; Power Quality; Responsibilities; Unbalance; harmonics; non-sinusoidal conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2014.7028978
  • Filename
    7028978