Grid-formIng Inverters: comprehensIve revIew, desIgn, and ImplementatIon of advanced control methods
ORCID
0009-0006-4872-9628
Keywords
Grid-Forming Inverters, Renewable Energy Integration, Power System Stability, Artificial Intelligence, Andronov-Hopf Oscillator, Control Methods
Abstract
The growing integration of renewable energy (RE) resources into power systems requires urgent measures by system operators to address stability challenges caused by the intermittency of such resources. GridForming (GFM) inverters have emerged as a promising solution to mitigate such grid instabilities. Their ability to establish and regulate voltage and frequency under various load and grid conditions makes them a potential alternative to Grid-Following (GFL) inverters, which are highly susceptible to loss of synchronism in grid conditions with low Short Circuit Ratios (SCRs). Numerous GFM control methods have been proposed in the literature, each addressing specific research gaps, however, several open research topics remain. This work explores some of these research areas and proposes potential solutions to address the existing gaps. This thesis primarily addresses three key topics. First, it presents a comprehensive review of the GFM field, with a particular emphasis on emerging and intelligent aspects, such as Artificial Intelligence (AI) and Digital Twins (DTs), that have not been covered in previous review papers. Second, a simulation-based study of a GFM controller known as the Andronov-Hopf Oscillator (AHO) is conducted. This method has not been previously evaluated in utility-scale within the literature, making this study a contribution to the field. Finally, a novel control method is proposed, and simulation-based studies are conducted to evaluate its effectiveness under various fault conditions. All results presented in this thesis are generated using MATLAB and Simulink, paving the way for new research directions in the field.
Completion Date
2025
Semester
Spring
Committee Chair
Batarseh, Issa
Degree
Master of Science in Electrical Engineering (M.S.E.E.)
College
College of Engineering and Computer Science
Department
Electrical and computer engineering
Identifier
DP0029254
Document Type
Dissertation/Thesis
Campus Location
Orlando (Main) Campus
STARS Citation
Abudyak, Yousef H., "Grid-formIng Inverters: comprehensIve revIew, desIgn, and ImplementatIon of advanced control methods" (2025). Graduate Thesis and Dissertation post-2024. 88.
https://stars.library.ucf.edu/etd2024/88