Optimization of Load Frequency Control of Different Area System Based on Genetic Algorithm


Authors : Ashirwad Sharma; Aman Sing; Anshuman Raj

Volume/Issue : Volume 8 - 2023, Issue 5 - May

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3nMCtrr

DOI : https://doi.org/10.5281/zenodo.7927608

Load frequency regulation (LFC) is an essential part of a power system's operation in order to maintain the balance between generation and load demand. This article proposes two unique models for a single area and two area power system that uses a Genetic Algorithm (GA) and a Proportional-integralderivative (PID) controller. A comparison between the proposed GA-PID controller and the conventional PID controller is made. The simulation results show that the GA-PID controller significantly improves LFC performance by reducing overshoots and settling time while maintaining frequency variation within acceptable boundaries. The recommended approach is further tested under various operational conditions and disturbances, demonstrating its robustness and effectiveness in maximizing LFC. The results demonstrate that the GA-PID controller outperforms the conventional PID controller and can maintain the stability and reliability of the power system. Overall, the proposed GA-PID controller provides a useful and efficient way to optimize the LFC of a power system. The findings of this study can be used to develop LFC strategies that are more advanced and improve the power system's stability and reliability

Keywords : Genetic Algorithm, Load Frequency Control, PID Controller.

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