Abstract

Solar-based converter design is of paramount importance in 2023 due to the rapidly increasing demand for renewable energy sources and the need to reduce carbon emissions to mitigate the effects of climate change. As the world continues to shift towards a sustainable future, solar power is expected to play a critical role in meeting the growing energy demand. A multiport converter with renewable energy sources and storage unit must be able to regulate the power output from the panels and ensure that it is compatible with the grid or other energy storage systems. In this dissertation, different multiport systems have been designed and analyzed along with advanced control methods for solar battery integration. An LLC converter-based design has been developed to efficiently convert and regulate energy from solar panels and battery storage. This converter is designed to have multiple ports to enable the simultaneous charging and discharging of multiple batteries, making it suitable for both residential and commercial applications. A multiport single LLC tank-based converter is an efficient and versatile solution for energy storage and management in solar systems. Its multiple ports and resonant LLC topology make it suitable for a range of applications, from small-scale residential systems to larger commercial systems. Additionally, other MPC grid-integrated topologies are also investigated in this dissertation. All these circuits aim to track maximum power from the energy sources and require reliable control strategies. In this regard, multiple advanced hybrid control methods based on fuzzy logic and neural network have been developed as a part of this dissertation. All the simulation studies have been performed matlab/Simulink as well as plecs platform and the experimental prototypes have been tested to verify the concepts.

Notes

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Graduation Date

2023

Semester

Spring

Advisor

Batarseh, Issa

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Electrical and Computer Engineering

Degree Program

Electrical Engineering

Identifier

CFE0009858; DP0028140

URL

https://purls.library.ucf.edu/go/DP0028140

Language

English

Release Date

November 2028

Length of Campus-only Access

5 years

Access Status

Doctoral Dissertation (Campus-only Access)

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Restricted to the UCF community until November 2028; it will then be open access.

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