Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Power Quality Event Classification using Machine Learning Techniques

Author : Challa Sairam Reddy 1 Divya R 2 Dr. Manjula G Nair 3

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Date of Publication :24th February 2021

Abstract: The rapid transformation of the conventional electric power grid to the sophisticated smart grid involves many challenging factors like power quality and reliability issues. Smart grid is nothing but introduction of information and communication technology to the present existing grid, so the process of realizing smart grids involves various kinds of devices which results in degradation of power quality. As power quality is the promising factor for utilities as well as the end users for proper functioning of equipment, it should be maintained high and with in specified limits. Thus detection and classification of different power quality events and their causes must be known prior to take appropriate mitigating actions. The task of classification involves storing of huge amount of data for analysis which became feasible with increased databases. The power quality events like sag, swell, interruption and unbalance are classified with data mining algorithms like SVM, KNN, Random forest with supervised machine learning techniques using python software.

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