Multidimensional monitoring for power quality disturbance detection

Power Quality (PQ) has emerged as an important research field in recent years. The development and increasing use of high power converters and the increase of nonlinear loads with high power cause unwanted changes in the electrical signal (current and voltage). These changes are called electrical disturbances. To understand such disturbances and investigate their causes, it is needed firstly detecting them. This work proposes a multidimensional approach, however with reduced computational complexity, for detecting PQ disturbances. The innovation of this work is the use of a deviation measure to quantify the PQ disturbances. The method performed well with high detection rates and low computational complexity.