In this paper, a new load frequency control (LFC) using the model predictive control MPC technique is presented. The MPC technique has been designed such that the effect of the uncertainty due to governor and turbine parameters variation and load disturbance is reduced. A simplified frequency response model is introduced, and physical constraints of the governor and turbine are considered in this model. The model was employed in the MPC structure. The optimal parameter values of MPC were obtained using a Genetic Algorithm (GA) based on a certain cost function. The presented MPC is compared against a conventional proportional integral derivative (PID) controller. Simulations show that the MPC gives a better frequency response while using cheaper resources. The simulation results illustrate that MPC could be a realistic solution to some of the LFC problems power systems are facing today. Also, it can absorb and predict the different types of disturbances.
Abdel Ghany, M., Shams, M., & Ibrahim, S. (2021). Optimal Parameters Model Predictive Control for Single Area Load Frequency Control. International Journal of Advanced Engineering and Business Sciences, 2(1), 25-35. doi: 10.21608/ijaebs.2021.166438
MLA
M. A. Abdel Ghany; Mohamed Shams; sherouk Ibrahim. "Optimal Parameters Model Predictive Control for Single Area Load Frequency Control", International Journal of Advanced Engineering and Business Sciences, 2, 1, 2021, 25-35. doi: 10.21608/ijaebs.2021.166438
HARVARD
Abdel Ghany, M., Shams, M., Ibrahim, S. (2021). 'Optimal Parameters Model Predictive Control for Single Area Load Frequency Control', International Journal of Advanced Engineering and Business Sciences, 2(1), pp. 25-35. doi: 10.21608/ijaebs.2021.166438
VANCOUVER
Abdel Ghany, M., Shams, M., Ibrahim, S. Optimal Parameters Model Predictive Control for Single Area Load Frequency Control. International Journal of Advanced Engineering and Business Sciences, 2021; 2(1): 25-35. doi: 10.21608/ijaebs.2021.166438
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