Research Article Open Access

Artificial Neural Network Controller Based Distribution Static Compensator for Voltage Sag Mitigation

D. Rajasekaran1, Subhransu Sekhar Dash2, Arun Bhaskar Mayilvaganan3, C. Subramani2 and Sathyanarayan Krishnan3
  • 1 Department of Electrical and Electronics Engineering, R.M.D. Engineering College, Chennai, Tamil Nadu, India
  • 2 Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India
  • 3 Department of Electrical and Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

Abstract

Switching of loads, capacitors, along with the proliferation of power electronics equipment, non-linear loads in industrial, commercial and domestic applications have lead to power quality issues in the distribution system. Power quality issues such as voltage sag, voltage swell and harmonics, which are certainly major concerning issues in the present era. These issues can lead to failure or malfunction of the many sensitive loads connected to the distribution system, thus incurring a high cost for end users. Power quality problems are solved by advanced custom power devices. This study presents how the custom power device Distribution Static Compensator (D-STATCOM) is used to mitigate voltage sag and voltage harmonics in distribution system. Artificial Neural Network (ANN) controller based D-STATCOM is simulated in MATLAB-SIMULINK environment. Prototype model for single phase D-STATCOM is developed to verify the results. The simulation and hardware results show clearly the performance of the D-STATCOM in mitigating voltage sag and voltage harmonics in distribution system.

American Journal of Applied Sciences
Volume 10 No. 7, 2013, 688-695

DOI: https://doi.org/10.3844/ajassp.2013.688.695

Submitted On: 18 February 2013 Published On: 21 June 2013

How to Cite: Rajasekaran, D., Dash, S. S., Mayilvaganan, A. B., Subramani, C. & Krishnan, S. (2013). Artificial Neural Network Controller Based Distribution Static Compensator for Voltage Sag Mitigation. American Journal of Applied Sciences, 10(7), 688-695. https://doi.org/10.3844/ajassp.2013.688.695

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Keywords

  • Power Quality
  • D-STATCOM
  • Voltage Sag
  • IGBT
  • MATLAB/SIMULINK
  • Energy Storage System
  • Artificial Neural Network