Real-Time Cyber-Physical Co-Simulation for Resilient Wide-Area Damping Control Against FDIAs and Communication Disruptions
Integration of Renewable Energy Sources (RESs) into modern power systems presents a myriad of challenges, foremost among them being the pressing demand for a simulation platform capable of accurately replicating the intricate dynamics of these complex systems. This paper presents the implementation and outcomes of a Real-Time Cyber-Physical Testbed Co-simulation with Hardware-in-the-Loop (RTCPTC-HIL) approach to evaluate the effectiveness of the proposed Wide-Area Damping Controller (WADC) with HVDC in mitigating inter-area oscillations in large-scale RESs integrated power systems. The testbed integrates OPAL-RT OP4510 for system modeling and OP8665 for controller development and testing, with real-time communication via physical connections and TCP/IP. Moreover, WADC functionality depends on remote measurements acquired from PMUs, which are vulnerable to disruptions and cyber-attacks, potentially compromising controller performance. To address this, a machine learning-based signal reconstruction framework leveraging CNN-LSTM is proposed to enhance WADC resilience against communication disturbances and anomalies. A 25-generator, 105- bus truncated model of India's Eastern Regional grid is utilized for validation of proposed framework.
Authors
- Kundan Kumar (ORCID: https://orcid.org/0000-0002-6800-939X)
- Ehab F. El‐Saadany (ORCID: https://orcid.org/0000-0003-0172-0686)
- Hatem Zeineldin (ORCID: https://orcid.org/0000-0003-1500-1260)
- Priyesh Saini (ORCID: https://orcid.org/0000-0001-9355-6283)
- Abhineet Prakash (ORCID: https://orcid.org/0000-0002-4613-9994)
- Khaled Al Jaafari (ORCID: https://orcid.org/0000-0003-1990-5486)
- S. K. Parida (ORCID: https://orcid.org/0000-0003-4664-3338)
Institutions
- Indian Institute of Technology Patna (IN)
- Khalifa University of Science and Technology (AE)
- Indian Institute of Technology Bhubaneswar (IN)
Publication Details
- Journal
- IEEE Transactions on Industry Applications
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1109/tia.2025.3571363
- Citations
- 3
- Primary Topic
- Real-time simulation and control systems
- Type
- article
- Field-Weighted Citation Impact
- 3.64