Electronic Theses and Dissertations

Date

2024

Document Type

Thesis

Degree Name

Master of Science

Department

Electrical & Computer Engineering

Committee Chair

Mohd. Hasan Ali

Committee Member

Deepak Venugopal

Committee Member

Madhusudhanan Balasubramanian

Committee Member

Mohd. Hasan Ali

Abstract

Battery energy storage system (BESS) plays a crucial role in integrating renewable sources in microgrids. However, robust BESS controllers are needed to carry out this function properly. Existing controllers suffer from overshoots and slow convergence issues. This thesis proposes a novel Sigma Delta Modulation (SDM) controller for BESS in solar photovoltaic (PV) connected microgrids to address the limitations of existing controllers. The performance of SDM has been compared with that of the Proportional Integral (PI) and Fuzzy Logic based controllers. Also, the thesis addresses the cybersecurity issues in solar PV based microgrids. The Ensemble Learning technique and an Improved Ensemble Based Method are proposed to detect the False Data Injection (FDI) and Denial of Service (DoS) attacks. The performance of these detection methods has been compared with that of the traditional detection methods. The MATLAB/Simulink based results show the effectiveness and better performance of the proposed controller and detection methods.

Comments

Data is provided by the student.”

Library Comment

Dissertation or thesis originally submitted to ProQuest.

Notes

Open Access

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