Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm

Shanchari Laik, Shatabdi Dey, Puja Das, Sneha Sultana, Sourav Paul and Provas Kumar Roy
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Shanchari Laik: Department of Electrical Engineering, Bengal College of Engineering and Technology for Women, Durgapur, India
Shatabdi Dey: Department of Electrical Engineering, Bengal College of Engineering and Technology for Women, Durgapur, India
Puja Das: Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India
Sneha Sultana: Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, India
Sourav Paul: Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, India
Provas Kumar Roy: Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India

International Journal of Energy Optimization and Engineering (IJEOE), 2015, vol. 4, issue 2, 22-35

Abstract: Automatic generation control (AGC) is added in power system to ensure constancy in frequency and tie-line power of an interconnected multi-area power system. In this article, proportional integral (PI) controlled based AGC of two-area hydrothermal system is solved by cuckoo optimization algorithm (COA). It is one of the most powerful stochastic real parameter optimization in current use. The design objective is to improve the dynamic performance of the interconnected system following a disturbance. System performance is examined considering 1% step load perturbation in thermal area with generation rate constraints. The results are compared with BBO, GA and DE to show the effectiveness of the proposed method. Computed results shows that the proposed method effectively improve the performance of the objective function with corresponding minimization of the overshoot, undershoot and settling time to reach steady state.

Date: 2015
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