Robust Load Frequency Control Schemes in Power System Using Optimized PID and Model Predictive Controllers

Komboigo Charles, Naomitsu Urasaki, Tomonobu Senjyu, Mohammed Elsayed Lotfy and Lei Liu
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Komboigo Charles: Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa 903-0213, Japan
Naomitsu Urasaki: Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa 903-0213, Japan
Tomonobu Senjyu: Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa 903-0213, Japan
Mohammed Elsayed Lotfy: Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa 903-0213, Japan
Lei Liu: Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa 903-0213, Japan

Energies, 2018, vol. 11, issue 11, 1-18

Abstract: Robust control methodology for two-area load frequency control model is proposed in this paper. The paper presents a comparative study between the performance of model predictive controller (MPC) and optimized proportional–integral–derivative (PID) controller on different systems. An objective function derived from settling time, percentage overshoot and percentage undershoot is minimized to obtain the gains of the PID controller. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to tune the parameters of the PID controller through performance optimization of the system. System performance characteristics were compared to another controller designed based on MPC. Detailed comparison was performed between the performances of the MPC and optimized PID. The effectiveness and robustness of the proposed schemes were verified by the numerical simulation in MATLAB environment under different scenarios such as load and parameters variations. Moreover, the pole-zero map of each proposed approach is presented to investigate their stability.

Keywords: load frequency control; two area power system; optimized PID controller; genetic algorithm and particle swarm optimization; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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