Date of Award

December 2012

Degree Type


Degree Name

Master of Science



First Advisor

David C. Yu

Committee Members

Vijay Baharaju, David C. Yu, Adel Nasiri


This thesis represents the result from a cooperation project, between the University of Wisconsin Milwaukee and Eaton corporation. Here, a new methodology to select the best location for storage in Microgrids is proposed, this methodology is an adaptation of a well known technique commonly used to solve the Power Flow in Power System planning analysis. This technique is known as the fully-coupled Newton Raphson methodology, and it commonly used to solve the power flow study analysis. Due to the large incorporation of renewable energy to distribution and subtransmission systems, the requirement of a method to quantify and select the optimal location for the energy storage system will allow Renewable Energy sources, to be integrated into Microgrids.