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Maiden Application of Hybrid Crow-Search Algorithm with Particle Swarm Optimization in LFC Studies

  • Naladi Ram BabuEmail author
  • Lalit Chandra Saikia
  • Sanjeev Kumar Bhagat
  • Arindita Saha
Conference paper
  • 8 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1164)

Abstract

This article presents the hybridization of crow-search algorithm with particle swarm optimization (hCA-PSO) in load frequency control (LFC) studies. A new ancillary controller entitled as tilt-integral-derivative with filter (TIDN) is proposed and its dynamic performance is found to be better over PID, PIDN. The proposed hCA-PSO technique is used to optimize the parameters of controller and is found to be better over CA and PSO algorithms in terms of setting time. It is also observed that the responses with AC-HVDC tie-line are found to be better over AC tie-line. Moreover, sensitivity analysis reveals that TIDN controller parameters optimized by hCA-PSO are found to be robust at system varied conditions like loading and inertia conditions. Furthermore, the superiority of hCA-PSO is analyzed with system comprising TIDN and thermal-HVDC in terms of dynamic performance and convergence over CA and PSO.

Keywords

LFC AC-HVDC tie-line hCA-PSO Sensitivity analysis and TIDN controller 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  • Naladi Ram Babu
    • 1
    Email author
  • Lalit Chandra Saikia
    • 1
  • Sanjeev Kumar Bhagat
    • 1
  • Arindita Saha
    • 2
  1. 1.National Institute of TechnologySilcharIndia
  2. 2.Regent Education and Research Foundation Group of InstitutionsKolkataIndia

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