Date of Award
Master of Science
David C. Yu
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.
Montoya Sanchez, Luis Fernando, "Novel Methodology to Determine the Optimal Energy Storage Location in a Microgrid to Support Power Stability" (2012). Theses and Dissertations. 339.