Journal
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM
Volume -, Issue -, Pages -Publisher
IEEE
DOI: 10.1109/PESGM52003.2023.10252105
Keywords
Cyber-Physical Systems Security; Formal Models; State Estimation; Synthetic Measurements
Ask authors/readers for more resources
This paper proposes a bi-level formal model for enhancing situational awareness in smart grids, which improves the ability to detect malicious data through the concepts of synthetic measurements and innovation.
Smart Grid situational awareness is provided by Energy Management Systems. A core process of these systems is State Estimation. The great majority of state estimators model the Smart Grid through a set of nonlinear algebraic equations, named the measurement model. Problem formulation considers the Gauss solution. Several model improvements have been presented regarding the Gauss solution, aiming between others to provide measurement noise robustness to the state estimation process. While considerable effort has been focused on such developments, state estimation is still constrained by the implicit modelling error, and thus inevitably vulnerable to cyber-threats. In this work, a state estimation bi-level formal model is presented towards Smart Grids enhanced situational awareness considering the concepts of synthetic measurements and innovation. Comparative test results with the state-of-the-art on the IEEE 14-bus system are presented highlighting improved situational awareness to bad data. Easy-to-implement model, without hard-to-derive parameters, built-on the classic weighted least squares solution, highlight potential aspects for real-life implementation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available