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http://dx.doi.org/10.12989/eri.2017.5.1.079

An integral square error-based model predictive controller for two area load frequency control  

Kassem, Ahmed M. (Electrical Engineering Department, Faculty of Engineering, Sohag University)
Sayed, Khairy (Electrical Engineering Department, Faculty of Engineering, Sohag University)
El-Zohri, Emad H. (Electrical Engineering Department, Faculty of Industrial Education, Sohag University)
Ali, Hossam H. (Electrical Engineering Department, Faculty of Industrial Education, Sohag University)
Publication Information
Advances in Energy Research / v.5, no.1, 2017 , pp. 79-90 More about this Journal
Abstract
The main objective of load frequency control (LFC) is to keep the frequency value at nominal value and force deviation of the frequency to zero in case of load change. This paper suggests LFC by using a model predictive control (MPC), based on Integral Square Error (ISE) method designed to optimize the damping of oscillations in a two-area power system. The MPC is designed and simulated with a model system in state space, for robust performance in the system response. The proposed MPC is tuned by ISE to achieve superior efficiency. Moreover, its performance has been assessed and compared with the PI and PID conventional controllers. The settling time and overshoot with MPC are extremely minimized as compared with conventional controllers.
Keywords
load frequency control; model predictive control; integral square error technique;
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