Automatic power quality disturbance measurement in distribution systems

Author

Nath, Sudipta ; Dasgupta, Aritra

Author_Institution

Dept. of Appl. Electron. & Instrum. Eng., Netaji Subhash Eng. Coll., Kolkata, India

fYear

2009

fDate

18-19 Nov. 2009

Firstpage

53

Lastpage

57

Abstract

An automatic power quality disturbance measurement system has been proposed in this paper. The probabilistic entropy is calculated for the most frequently occurring short duration disturbances in distribution system which is based on Shannon´s entropy. The variation of probabilistic entropy with respect to the deviation in the magnitude and duration of the disturbed signal is presented in the form of bar chart and graphs. The automatic recognition is achieved using an artificial neural network, (ANN) in conjunction with fuzzy based decision logic. A new type of power quality (PQ) factor, Equivalent Disturbance Factor (EDF) has been proposed in this paper. Then ANN has been implemented to predict the Equivalent Disturbance Factor.

Keywords

entropy; neural nets; power distribution; power engineering computing; power measurement; power supply quality; probability; artificial neural network; automatic power quality disturbance measurement; automatic recognition; distribution systems; equivalent disturbance factor; power quality factor; probabilistic entropy; Artificial neural networks; Entropy; Feeds; Fuzzy neural networks; Neural networks; Power engineering and energy; Power measurement; Power quality; Signal processing; Wavelet transforms; Power quality; entropy; equivalent disturbance factor; voltage events;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-5560-7

Type

conf

DOI

10.1109/ICSIPA.2009.5478713

Filename

5478713