







Vol.1 , No. 1, Publication Date: Feb. 12, 2018, Page: 6-10
[1] | Saad Mohammed Hamzah, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Kufa, Iraq. |
[2] | Abdulhussain Abdulzahra, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Kufa, Iraq. |
[3] | Ali Raheem, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Kufa, Iraq. |
New contribution is recommended in this paper through artificial intelligent by genetic algorithm GA to counteracted the weakness points of load frequency control LFC. The main problem of load frequency control LFC is the drop frequency at the transient heavy load in power system station which causes distorted of sinusoidal wave, increase the harmonics as results minimizing the system efficiency with instability of station. Therefore, the genetic algorithm with load frequency control GA-LFC is used to optimize the frequency and to control the frequency deviation. The two inputs signal of GA are desired frequency and actual frequency and the output will be optimized via objective function of GA and supply to power system. Simulink Matlab program with toolbox is used in this system. From the results, it is obvious that GA is specialist of optimization the LFC.
Keywords
Load Frequency Control LFC, Genetic Algorithm GA, Turbine, Governor
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