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ALO-optimized artificial neural network-controlled dynamic voltage restorer for compensation of voltage issues in distribution system

  • V. AnsalEmail author
Methodologies and Application
  • 16 Downloads

Abstract

The major concern in power distribution system is the power quality concerns specifically voltage sag/swell and harmonics. To compensate for such voltage disturbances, an effective device called dynamic voltage restorer (DVR) is utilized in the electric power distribution system. Accordingly, in this paper, the DVR is designed to shield the sensitive load from source-side voltage disturbances under nonlinear load conditions. Further, in the proposed work, an ant lion optimizer-optimized artificial neural network (ALO-ANN) is used to control DVR, thus compensating the balanced and the unbalanced voltage sag/swell and distortions in the load-side voltage. Simulation results using MATLAB/Simulink software are analysed to confirm the efficiency of the suggested ALO-ANN regulator scheme of DVR system at critical loads by comparing with the existing PSO (particle swarm optimization)-centred control scheme.

Keywords

Power distribution system Dynamic voltage restorer (DVR) ALO-ANN Voltage sag/swell Harmonics Control scheme and PSO 

Notes

Compliance with ethical standards

Conflict of interest

The author declares that he/she has no conflict of interest.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electronics and CommunicationNitte Mahalinga Adyanthaya Memorial Institute of TechnologyNitte, KarkalaIndia

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