Year of Publication


Degree Name

Master of Science in Electrical Engineering (MSEE)

Document Type

Master's Thesis




Electrical and Computer Engineering

First Advisor

Dr. Dan M. Ionel


Solar photovoltaic energy generation is expected to grow dramatically in coming years in order to take advantage of renewable and clean sources of electricity. This thesis presents research on the impact of increasing solar PV penetration, specifically of large, utility-scale PV facilities, on transmission network performance. The development of Python programming tools for automation of power flow analysis is presented. A modified version of the IEEE 118-Bus test system is developed and modified to simulate increasing PV generation on the transmission system. The impacts on performance are analyzed trends are reported. Battery energy storage systems are studied in this thesis for their ability to regulate system voltages through reactive power support. The modified IEEE test case is used as a basis to present a developed method for optimization of the location of battery systems for voltage support.

Digital Object Identifier (DOI)

Funding Information

This study was supported by Louisville Gas & Electric and Kentucky Utilities (LG&E and KU), part of the PPL corporation family of companies, as well as University of Kentucky, the L. Stanley Pigman Chair in Power Endowment in 2020 and 2021.