الفهرس 
Two area load frequency control based on evolutionary computational techniques
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Abstract
The two area load frequency control (TALFC) is used to manage the shared active power between a two generation areas. The PID controller is used to improve the performance of the two area controllers. The particle swarm optimization technique and its modified techniques are one of the evolutionary computational techniques that could be used to set the PID parameters. The artificial Immune System (AIS) could be in optimization and it will be used in this paper for tuning the PID controller through using the clonal selection. Finally, the obtained results will be discussed after applying the algorithms on the TALFC. The obtained results are highly encouraging