Robust and time efficient data mining Techniques for power disturbance Classification

Abstract

Power Quality PQ is an umbrella term encompassing the study of newlinedeviations in current and voltage waveforms from ideal sine waves and newlinedetermines the fitness of electrical power to operate devices The deterioration newlineof power quality is caused by disturbances leading to failure or newlinemalfunctioning of electrical equipments The first step in the PQ evaluation newlineprocedure is to detect and classify the type of PQ disturbance such as sags newlineharmonics and transients Automatic classification of PQ disturbances newlinenecessitates the use of data mining techniques newlineTo maintain power quality numerous PQ meters have been newlineinstalled in modern power grids and this has caused a data deluge Adoption newlineof data mining techniques will aid in digging out relevant PQ information newlinefrom this huge data on an as required basis The objective of the proposed newlinework is to interface power systems and data mining by way of application of newlinedata mining techniques to PQ disturbance classification newline newline