Ant Lion Optimization: A Novel Algorithm Applied to Load Frequency Control Problem in Power System

  • Dipayan Guha
  • Provas Kumar Roy
  • Subrata Banerjee
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 225)


In this article, an attempt has been made to find an effective solution of load frequency control problem in power system employing a powerful and stochastic optimization technique called “Ant Lion Optimization” (ALO). The proposed algorithm is inspired by the interaction strategy between ants and ant lions in nature. To appraise the effectiveness of ALO algorithm, a widely used two-area multi-unit multi-source power plant equipped with distinct PID-controller is investigated. The integral time absolute error-based objective function has been defined for fine tuning of PID-controller gains by ALO algorithm. To judge the acceptability of ALO algorithm, the simulation results are compared with some recently published algorithms. The simulation results presented in this paper confirm that the proposed ALO algorithm significantly enhanced the relative stability of the power system and can be applied to the real-time problem.


Load frequency control Multi area power system High voltage DC Ant lion optimization Transient analysis 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Dipayan Guha
    • 1
  • Provas Kumar Roy
    • 2
  • Subrata Banerjee
    • 1
  1. 1.Department of Electrical EngineeringNational Institute of TechnologyDurgapurIndia
  2. 2.Department of Electrical EngineeringKalyani Government Engineering CollegeKalyaniIndia

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