Publication Type:

Conference Paper

Source:

2nd International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2015) (2015)

URL:

http://www.atlantis-press.com/php/download_paper.php?id=25839857

Keywords:

power quality; harmonics; autotuned filters; reactive power compensation; artificial neural network; total harmonic distortion

Abstract:

Power quality improvement can be done effectively by adding passive or active filters in series or parallel with the line. Active filters perform efficiently but it is not cost effective. Traditional passive filters are cost effective but they are permanently connected to the system and draw large amount of source current even under light load conditions. By using auto tuned filters, the passive filter components can be controlled according to load variations and hence required reactive power compensation along with current harmonic elimination can be done efficiently. Auto-tuned filter with TSC-TSR combinations is designed and simulated in MATLAB/SIMULINK using Artificial Neural Network controller and a new controller called Isin Ф controller. Performance of both the controllers are compared. Simulation results show that Isin controller performs fast because of its reduced complexity and also easy to implement. The THD has reduced to a great extent along with reactive power compensation there by reducing the reactive power issues in transmission and distribution networks.

Cite this Research Publication

J. S. V. C., krishnan.P.P, V., and Nair, M. G., “Auto-Tuned Passive Filter using Is in Ф Controller for Power Quality Improvement in Distribution Networks”, in 2nd International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2015) , 2015.

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