Robust Load Frequency Control Schemes in Power System Using Optimized PID and Model Predictive Controllers
| Autor: | Mohammed Elsayed Lotfy, Naomitsu Urasaki, Tomonobu Senjyu, Lei Liu, Komboigo Charles |
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| Rok vydání: | 2018 |
| Předmět: |
Control and Optimization
model predictive control Settling time Computer science 020209 energy Automatic frequency control Energy Engineering and Power Technology PID controller 02 engineering and technology load frequency control lcsh:Technology Electric power system Robustness (computer science) Control theory 0202 electrical engineering electronic engineering information engineering Overshoot (signal) Electrical and Electronic Engineering Engineering (miscellaneous) lcsh:T Renewable Energy Sustainability and the Environment two area power system Particle swarm optimization Model predictive control optimized PID controller genetic algorithm and particle swarm optimization Robust control Energy (miscellaneous) |
| Zdroj: | Energies, Vol 11, Iss 11, p 3070 (2018) Energies; Volume 11; Issue 11; Pages: 3070 |
| ISSN: | 1996-1073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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