Application of PCA in Power Quality Management

Authors

  • Surbhi Singh Electrical Engineering, PEC University, Chandigarh, India Author
  • Tilak Thakur Electrical Engineering, PEC University, Chandigarh, India Author

Keywords:

Power quality; indices; continuous; event-based; PCA; covariance; eigen value; eigen vector; variance contribution rate; comprehensive evaluation.

Abstract

In the present era, where demand of electricity is increasing with every passing day. The quality of electricity supply demanded, wants management of power system parameters. The disturbance in system is measured in terms of certain parameters called indices. These power quality indices are the measurement parameters of power quality disturbances. In this paper, first of all the standard power quality indices are discussed and then principal component analysis is analyzed. A case study of small scale industry is taken and PCA is applied. The software which is used for this analysis is Microsoft Excel. Finally, the conclusion is drawn about the indices which are severly effecting power system. Here, voltage deviation and frequency deviation is mainly affecting the system. After extracting the principal component of indices, mitigating techniques can be implemented accordingly.

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Published

2014-06-30

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Section

Articles

How to Cite

Application of PCA in Power Quality Management. (2014). International Journal of Current Engineering and Technology, 4(3), 2010-2013. https://ijcet.evegenis.org/index.php/ijcet/article/view/981