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Load Frequency Control of Nonlinear Power System Employing Firefly Algorithm

Affiliations

  • Department of Electrical Engineering, Sathyabama University, Chennai – 600119, Tamil Nadu, India
  • Department of Electrical Engineering, SRM University, Chennai – 603203, Tamil Nadu, India

Abstract


Background/Objectives: Firefly Algorithm (FA) is employed to for Load Frequency Control (LFC) of nonlinear power system. Methods/Statistical Analysis: The supremacy of FA technique is established by comparing the outcomes with Genetic Algorithm (GA). Findings: Additionally, sensitivity study is conducted by changing system parameters like time constants of turbine, speed governor and inertia constant as well as generator initial loading condition by +50% to -50% from their normal values in addition to the magnitude and location of load disturbance to illustrate the effectiveness of the suggested design approach. Application/Improvements: A nonlinear three area thermal system is taken as the system under study and the parameters of the LFC controller are tuned using FA technique.

Keywords

Firefly Algorithm (FA), Generation Rate Constraint (GRC), Load Frequency Control (LFC), Proportional Integral Derivative Controller, Sensitivity Analysis.

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