Date of Award
Dr. Parviz Rastgoufard
Dr. Ebrahim Amiri
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.
Basnet, Monika, "Optimization Framework to Determine Optimal Location and Sizing of Photovoltaic Energy Sources in Electric Grids" (2022). University of New Orleans Theses and Dissertations. 2949.
Available for download on Thursday, May 27, 2027