Causality Assessment for Power Quality Stationary Disturbances

被引：0

作者：

Pavas, Andres ^{[1
]}

Garzon, Camilo ^{[2
]}

机构：

[1] Univ Nacl Colombia, PAAS UN Grp, Bogota, Colombia

[2] PAAS UN Grp, Bogota, Colombia

来源：

2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE) | 2014年

关键词：

Causality; Disturbances origin; harmonics; non-sinusoidal conditions; Power Quality; Responsibilities; Unbalance;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：7