Grey Wolf Optimization to Solve Load Frequency Control of an Interconnected Power System: GWO Used to Solve LFC Problem

Dipayan Guha, Provas Kumar Roy and Subrata Banerjee
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Dipayan Guha: Electrical Engineering Department, Dr. B. C. Roy Engineering College Durgapur, Durgapur, India
Provas Kumar Roy: Electrical Engineering Department, Jalpaiguri Government Engineering College, Jalpaiguri, India
Subrata Banerjee: National Institute of Technology Durgapur, Durgapur, India

International Journal of Energy Optimization and Engineering (IJEOE), 2016, vol. 5, issue 4, 62-83

Abstract: In this article, a novel optimization algorithm called grey wolf optimization (GWO) with the theory of quasi-oppositional based learning (Q-OBL) is proposed for the first time to solve load frequency control (LFC) problem. An equal two-area thermal power system equipped with classical PID-controller is considered for this study. The power system network is modeled with governor dead band and time delay nonlinearities to get better insight of LFC system. 1% load perturbation in area-1 is considered to appraise the dynamic behavior of concerned power system. Integral time absolute error and least average error based fitness functions are defined for fine tuning of PID-controller gains employing the proposed method. An extensive comparative analysis is performed to establish the superiority of proposed algorithm over other recently published algorithms. Finally, sensitivity analysis is performed to show the robustness of the designed controller with system uncertainties.

Date: 2016
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