Application of Krill Herd Algorithm for Optimum Design of Load Frequency Controller for Multi-Area Power System Network with Generation Rate Constraint

  • Dipayan Guha
  • Provas Kumar Roy
  • Subrata Banerjee
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 404)


In this paper, a novel biologically inspired algorithm, namely krill herd algorithm (KHA), is proposed for solving load frequency control (LFC) problem in power system. The KHA is based on the simulations of herding behavior of individual krill. Three unequal interconnected reheat thermal power plants equipped with different classical controllers are considered for simulation study and their optimum settings are determined using KHA employing integral square error-based fitness function. The appropriate value of generation rate constraint (GRC) of the steam turbine is included in the study to confirm the effectiveness of proposed method. Performances of several classical controllers are compared with their nominal results and some other recently published algorithms. Additionally, two-stage lag–lead compensator with superconducting magnetic coil is designed to improve the existing results in coordination with LFC. Finally, random pulse load perturbation is given to the system to identify the robustness of proposed controller.


Power System Steam Turbine Firefly Algorithm Classical Controller Superconducting Magnetic Energy Storage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2016

Authors and Affiliations

  • Dipayan Guha
    • 1
  • Provas Kumar Roy
    • 2
  • Subrata Banerjee
    • 3
  1. 1.Department of Electrical EngineeringDr. B. C. Roy Engineering CollegeDurgapurIndia
  2. 2.Department of Electrical EngineeringJalpaiguri Government Engineering CollegeJalpaiguriIndia
  3. 3.Department of Electrical EngineeringNIT-DurgapurDurgapurIndia

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