Date of Award

December 2017

Degree Type

Thesis

Degree Name

Master of Science

Department

Engineering

First Advisor

Robert M. Cuzner

Committee Members

Devendra K. Misra, Guangwu Xu

Abstract

Solar Energy is one of the abundantly available renewable energy source. Solar panels are semiconductor materials which capture the solar energy from every band in the visible light spectrum, infrared spectrum and ultra violet spectrum and converts it into electrical energy.

The DC community microgrid is used to supplement utility electrical power supplied to the neighbored with renewable sources such as solar panels, emergency back-up power through batteries or generators. Smart Cloud Interconnected environment increases the standard of living and facilitates ease to rectify faults, debug components and reinstate or replace obsolete components with newer ones.

Automation of the DC microgrid components provides a simple yet efficient way to connect to the grid and to every component in the grid remotely. It is essential to find the node of failure in the grid for technicians and engineers to work on and to debug the issue to facilitate smooth running of the grid without shutdown. FPGAs are used as target devices for end synthesis of the model that is created on Simulink. These FPGAs are links between cloud and power electronics components. To utilize the energy resource efficiently we need to monitor the input and output of every component at every node in the grid. Simulating models on Simulink will let us connect the component and test engineer to the grid to detect any flaws or failures on time. FPGAs are easily reprogrammable and have long life with excellent capability to withstand stress.

This thesis report provides a set of procedures to create and simulate a real time component model and to generate HDL files to build a clean code which can be redeployed on target FPGAs.

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