Date of Award

Spring 2016

Degree Type


Degree Name

Master of Science (MS)


Electrical Engineering

Committee Chair

Matt Donnelly

First Advisor

Dan Trudnowski

Second Advisor

Josh Wold

Third Advisor

Rita Spear


Power system operation has changed significantly in the last several decades. Factors such as renewable energy integration and deregulation are major contributors to this change. In response, today’s power grid requires supplemental simulation techniques to ensure stable and reliable operation. One supplemental simulation technique includes a simulation tool that encompasses system dynamics of multiple time frames. This thesis proposes initial research of a power system simulation tool, Adaptive Modeling Framework (AMF), capable of modeling multiple dynamic characteristics including slow dynamics, such as transient stability, as well as long term dynamics (LTD), such as frequency regulation or voltage stability. Each power system characteristic is modeled separately as its own simulation framework with specific models. However, AMF can transition between these frameworks based on user parameters with the intention of using models appropriate for system conditions.


A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering