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


Multiobjective design of load frequency control using genetic algorithms
Load frequency control Multiobjective optimization Genetic algorithms Wind power generation
Journal International Journal of Electrical Power & Energy Systems
Researchers Hassan Bevrani ، Fateme Daneshfar


Recently, several modern control theory designs like H1 have been applied to the load–frequency control (LFC) problem optimization technique. However, the importance and difficulties in the selection of weighting functions of these approaches and the pole-zero cancellation phenomenon associated with it produces closed loop poles. In addition, the order of the H1-based controllers is as high as that of the plant. This gives rise to complex structure of such controllers and reduces their applicability. Also conventional LFC systems that use classical or trial-and-error approaches to tune the PI controller parameters are more difficult and time-consuming to design. In this paper the decentralized LFC synthesis is formulated as a multiobjective optimization problem (MOP) and is solved using genetic algorithms (GAs) to design well-tuned PI controllers in multi-area power systems. The proposed control scheme has been applied to the LFC problem in a three-area power system network and the 10-machine New England test system respectively and shows desirable performance.