| Title | Hybrid Data-Driven Physics-Based Model Framework Implementation: Towards a Secure Cyber-Physical Operation of the Smart Grid |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Vega-Martinez, Valeria, Cooper, Austin, Vera, Brandon, Aljohani, Nader, Bretas, Arturo |
| Conference Name | 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) |
| Keywords | Adaptation models, composability, CPS modeling, Data models, false data injection attack, machine learning, Metrics, OPAL-RT, pubcrawl, real-time simulation, Real-time Systems, resilience, Resiliency, security, simulation, Smart grids, software packages, state estimation |
| Abstract | False data injection cyber-attack detection models on smart grid operation have been much explored recently, considering analytical physics-based and data-driven solutions. Recently, a hybrid data-driven physics-based model framework for monitoring the smart grid is developed. However, the framework has not been implemented in real-time environment yet. In this paper, the framework of the hybrid model is developed within a real-time simulation environment. OPAL-RT real-time simulator is used to enable Hardware-in-the-Loop testing of the framework. IEEE 9-bus system is considered as a testing grid for gaining insight. The process of building the framework and the challenges faced during development are presented. The performance of the framework is investigated under various false data injection attacks. |
| DOI | 10.1109/EEEIC/ICPSEurope54979.2022.9854693 |
| Citation Key | vega-martinez_hybrid_2022 |
Hybrid Data-Driven Physics-Based Model Framework Implementation: Towards a Secure Cyber-Physical Operation of the Smart Grid