2024 : 2 : 23
Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
Education: PhD.
ScopusId: 55913436700
Faculty: Faculty of Engineering
Address: Dept. Of Electrical and Computer Eng, University of Kurdistan, Allameh Hamdi Blvd, Sanandaj PO Box 416, P. C: 66177-15175, Kurdistan, Iran
Phone: +98-87-33624001


A novel approach for power system load frequency controller design.
Load Frequency Control. Power System. Flexible Neural Networks
Researchers Hassan Bevrani


This paper will demonstrate flexible neural networks application. As a possible solution, to automatic load frequency control problem in a deregulated electric power system environment. We consider a typical power system in a competitive, distributed control environment with open access organizational structure. With this new structure. The conventional controllers are incapable of obtaining good dynamical performance, then, i t comes the need for novel control strategies to maintain the reliability and eliminates the frequency error. In order to achievement of all proposed design objectives, we have used flexible neural networks with dynamic neurons that have wide ranges of variation. A sample power system is used to illustrate the design method.