A master’s thesis in the Department of Electrical Engineering discusses effective load frequency control of a multi-zone power system using an intelligent controller based on an optimization algorithm

Master’s thesis defended at the Department of Electrical Engineering at the Technological University

(An Efficient Load Frequency Control for Multiple Power System Using Intelligent Controller Based on Optimization Algorithm)

The master’s thesis presented by student Omar Qasim Daoud focused on the fractional-order proportional-integral-differential integral controller (FOPID), which has proven to be effective in managing uncertainty, rejecting disturbances, and dealing with nonlinear systems better than the traditional controller. A fuzzy controller was also used for comparison and to contribute to the tuning of the PID controller parameters

The main innovation in this research is the adoption of the Zebra Optimization Algorithm as a means of fine-tuning the controller parameters; a new technique not previously applied in load frequency control (LFC). A simulation of a two-zone power system was performed using MATLAB Simulink, and the Integrated Time Target Function (ITSE) was used as a mechanism to link the new technique to the power system for the purpose of calculating the error during disturbances… A comparison was made between the three controllers to see how well each controller handles disturbances. The results of the analysis showed the effectiveness of the fractional order proportional-integral-differential controller (FOPID) based on the zebra algorithm in optimizing the power system, rejecting the disturbance and returning it to stability with minimum time … supporting progress in the field of load frequency control.

The discussion committee consisted of Dr. Ali Nasser Hussain (Chair), Dr. Nadir Abdul Rida Shalash and Dr. Ikhlas Mahawi Thajil (Members), Dr. Mushtaq Najeeb Ahmed and Dr. Anam Ibrahim Ali (Advisor).