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Cuckoo Search Algorithm Based Optimal Tuning of PID Structured TCSC Controller

  • Rupashree Sethi
  • Sidhartha Panda
  • Bibhuti Prasad Sahoo
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 31)

Abstract

Cuckoo Search Algorithm (CSA) is one of the new nature inspired meta-heuristic algorithms for solving many engineering optimization problems. This paper investigates the application of CSA technique for the tuning of proportional integral derivative (PID) structured Thyristor Controlled Series Compensator (TCSC) based controller to improve damping of the power system when subjected to different disturbances at various loading conditions. The dynamic performances of proposed approach are analyzed by taking an example of Single Machine Infinite Bus (SMIB) power system in MATLAB/Simulink environment. The superiority of the proposed approach is demonstrated by comparing the simulation results with previously published technique such as Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based TCSC controller for the same power system.

Keywords

Cuckoo search algorithm Thyristor controlled series compensator PID controller Power system stability Single-machine infinite-bus system Non-dominated sorting genetic algorithm-II 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • Rupashree Sethi
    • 1
  • Sidhartha Panda
    • 1
  • Bibhuti Prasad Sahoo
    • 1
  1. 1.Department of Electrical EngineeringVeer Surendra Sai University of TechnologyBurlaIndia

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