Load Frequency Control using PID Controller Tuned with Neural Networks
Abstract
This paper presents the design of Artificial Neural Network (ANN) based PID controller, to realize fast governor action in a power generation plant. The design technique is applied to single area, two area systems, to tune the parameters of the PID controller. Feed forward neural network architecture is chosen for the design of controller, which is trained by a popular back propagation algorithm. Performance of the proposed ANN based controller, is compared with conventional integral and PID controllers, through dynamic simulation. It is observed that ANN based controller provides better performance, through dynamic simulation show that the neural-network controller has quite satisfactory generalization capability, feasibility and reliability, as well as accuracy in multi area system.
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Elgerd OI. Electric energy systems theory: An introduction. McGraw-Hill; 1971
Hadi saadat, Power System Analysis Tata McGraw-Hill edition 2002.
Jaleeli N, VanSlyck LS, Ewart DN, Fink LH, Hoffmann AG. Understanding automatic generation control. IEEE Trans Power Systems 1992; 7(3):1106–12.
A novel approach of load Frequency control in multi Area power system V.Shanmuga Sundaram / International Journal of Engineering Science and Technology (IJEST)
Reddoch P, Julich TT, Tacker E. Model and performance functional for load frequency control in interconnected power systems. In: IE[6] Talaq J, Al-Basri F. Adaptive fuzzy gain scheduling for load frequency control. IEEE Trans Power Systems 1999; 14(1):145–50.
Yamashita K, Miyagi H. Two variable self-tuning regulators for load frequency control system n of voltage on load demand. IEEE Proc D 1991; 138(2).
H.Shayeghi ,Application of ANN technique based on mu-synthesis to Load frequency control of inter-connected power system.EE Conf Decision and Control, 1971.
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