Abstract
Power system operation is increasingly reliant on Information and Communication Technologies (ICTs), which are essential for enhancing the resilience, reliability, and security of the future electricity supply. The advancement of ICTs has tightly integrated power grids with communication networks, giving rise to Cyber-Physical power Systems (CPS). However, this growing digitalization also increases system complexity, heightens vulnerability to cyber attacks, and alters traditional operational patterns. Consequently, this trend underscores the critical need for continued exploration and innovation in CPS to address emerging challenges. In this context, the availability of reliable test cyber-physical systems is crucial. The test CPS models must enable realistic analyses without exposing sensitive information about critical infrastructures, allowing researchers to thoroughly investigate newly introduced vulnerabilities and ensure the reliability and cyber security of CPS. To this end, we are motivated to have the following research focus: the synthetic network generation and vulnerability assessment of cyber-physical power systems...
Original language | English |
---|---|
Qualification | Doctor of Philosophy |
Awarding Institution |
|
Supervisors/Advisors |
|
Award date | 5 Feb 2025 |
Print ISBNs | 978-94-6384-719-3 |
Electronic ISBNs | 978-94-6518-003-8 |
DOIs | |
Publication status | Published - 2025 |
Keywords
- cyber-physical power systems
- synthetic networks
- Vulnerability Assessment
- Smart Grids
- Machine Learning