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
Link To Document :
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