Defense Date

2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Electrical & Computer Engineering

First Advisor

Zhifang Wang

Abstract

In modern power systems, rapid integration of renewable energy and the emergence of microgrid technology emphasize the necessity for a comprehensive understanding of vulnerabilities and robust defense mechanisms. The research begins with an exploration of power grid vulnerabilities to cascading failure amidst the increasing integration of renewable energy sources. A novel power balance technique is employed for cascading failure analysis and power grid vulnerability measurement. Simulation results indicate that the growing penetration of renewable energy has a proportionally higher impact on grid vulnerability to cascading failures. After a certain level of renewable energy penetration, some systems may deteriorate rapidly, necessitating preventive measures when the penetration level exceeds this threshold. The subsequent segment digs into cascading failure risk analysis by statistically analyzing key metrics. The analysis is based on historical utility data and simulation data of synthetic test cases. The combination of empirical and simulated analyses provides a comprehensive understanding of cascading processes. Shifting focus to microgrid resilience, the research meticulously explores data integrity attacks. A multi-layered microgrid simulation model with an optimization-based energy management system is developed to investigate the impact of renewable energy penetration and data loss in battery command. The analysis of false data injection attacks' impact on microgrid operation introduces a hybrid approach to ensure stability and reliability across diverse scenarios. By integrating optimization-based energy management with adaptive control schemes, the proposed hybrid approach ensures stable microgrid operation in various conditions. Overall, this thesis represents a comprehensive exploration of power grid vulnerabilities, cascading failures, renewable energy integration, and microgrid resilience.

Rights

© The Author

Is Part Of

VCU University Archives

Is Part Of

VCU Theses and Dissertations

Date of Submission

5-9-2024

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