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Controller Optimization Algorithm for a 12-pulse Voltage Source Converter based HVDC System

  • Agarwal, Ruchi (Dept. of Electrical and Instrumentation Engineering, SLIET) ;
  • Singh, Sanjeev (Dept. of Electrical and Instrumentation Engineering, SLIET)
  • Received : 2015.12.14
  • Accepted : 2016.09.10
  • Published : 2017.03.01

Abstract

The paper presents controller optimization algorithm for a 12-pulse voltage source converter (VSC) based high voltage direct current (HVDC) system. To get an optimum algorithm, three methods namely conventional-Zeigler-Nichols, linear-golden section search (GSS) and stochastic-particle swarm optimization (PSO) are applied to control of 12 pulse VSC based HVDC system and simulation results are presented to show the best among the three. The performance results are obtained under various dynamic conditions such as load perturbation, non-linear load condition, and voltage sag, tapped load fault at points-of-common coupling (PCC) and single-line-to ground (SLG) fault at input AC mains. The conventional GSS and PSO algorithm are modified to enhance their performances under dynamic conditions. The results of this study show that modified particle swarm optimization provides the best results in terms of quick response to the dynamic conditions as compared to other optimization methods.

Keywords

PSO;GSS;VSC;HVDC;PQ

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