Two area load frequency control based on evolutionary computational techniques /
Ahmed Moussa Fakhry Moussa
Two area load frequency control based on evolutionary computational techniques / التحكم فى تردد حمل لمنطقتين إعتماداً على تقنيات حسابية تطورية Ahmed Moussa Fakhry Moussa ; Supervised Mohamed A. Moustafa , Mohamed E. Ammar - Cairo : Ahmed Moussa Fakhry Moussa , 2016 - 65 P. ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines
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
Evolutionary computational techniques Particle Swarm Optimization (PSO) Proportional-integral-derivative (PID)
Two area load frequency control based on evolutionary computational techniques / التحكم فى تردد حمل لمنطقتين إعتماداً على تقنيات حسابية تطورية Ahmed Moussa Fakhry Moussa ; Supervised Mohamed A. Moustafa , Mohamed E. Ammar - Cairo : Ahmed Moussa Fakhry Moussa , 2016 - 65 P. ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines
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
Evolutionary computational techniques Particle Swarm Optimization (PSO) Proportional-integral-derivative (PID)