Date of Award


Degree Type


Degree Name


Degree Program

Electrical Engineering


Electrical Engineering

Major Professor

Dr. Parviz Rastgoufard

Second Advisor

Dr. Ebrahim Amiri

Third Advisor

Dr. Abdul Rahman Alsamman


The purpose of this thesis is the presentation of a methodology for determining the optimal location and size of Photovoltaic (PV) renewable energy sources for integration to power systems. The proposed methodology is based on applying Particle Swarm Optimization (PSO) in determining the optimal location and size of PV energy sources by minimizing real power loss as the objective (cost) the function of the optimization and voltage magnitude limits, eigenvalues of the Jacobian matrix, and transmission line and transformer overloads as the optimization constraints and is scalable for the inclusion of reactive power losses and fuel costs in the objective function and power system security measures as constraints. The optimal size and location of PV energy sources are determined by implementing the proposed framework for studying real size power systems and is used in simulating test systems in their steady-state and dynamic mode of operation. The proposed methodology is used to simulate the IEEE 14 and 39 bus systems by using MatLab, PowerWorld, and PSS/E as simulation tools.


The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.

Available for download on Thursday, May 27, 2027