Fault Data Injection Detection on a Digital-Twin: Fresnel Solar Concentrator

This work focuses on developing a neurofuzzy detector capable of identifying a cyber attack of false data injection into the outlet temperature sensor of a Fresnel-type solar field which has a PI+FF controller to control the refered temperature. A digital twin of the Fresnel plant and its controller are used for simulation purposes. The digital twin is situated in the domain of behavior and rules, as it contains a set of models, including a partial differential equation (PDE) model and a neurofuzzy model. Results from simulation are shown using three different scenarios: (1) without fault, (2) a ramp and threhold with negative injection and (3) the last scenario with positive injection. The presented fault data injection detector has solid performance with more than 97% detection accuracy and precision. Copyright (C)2024 The Authors. This is an open access article under the CC BY-NC-ND license (htips://creativecommons.org/licenses/by-nc-nd/4.0/)