Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System
DOI:
https://doi.org/10.24237/Keywords:
TDA, SCF , PV Farm , MPPT , CybersecurityAbstract
The use of solar panels is becoming increasingly important now as a source of renewable energy. With the different systems designed to invest solar energy and the different electronic attacks on renewable energy systems, the importance of designing a photovoltaic system with different features appears in terms of detecting the attack on the input of the control unit to the system, and thus knowing the electronic attacks targeting the control unit. In this paper, a solar farm system based on cyberattack detection is designed and analyzed using MATLAB Simulink. First, the proposed system detects and identifies cyberattacks, such as Time Delay Attacks (TDA), on the PV controller. Second, it diagnoses physical attacks, including Short Circuit Faults (SCF), and evaluates their impact on the photovoltaic controller. The simulation comprises TDA and SCF attacks and their impact on current and voltage waveforms in the PV system. These types of attacks mainly depend on delaying or changing the triggering signal, which leads to an effect on the output signals. In addition, the modulation-index feature is adopted in verifying the presence of attacks and diagnosing their type on the photovoltaic farm configuration, it reaches its highest value of 0.91 when the solar farm is operating properly. On the other hand, it is disturbed and fluctuates to reach 0.66 and 0.16 in the case of SCA and TDA, respectively. The Simulink results demonstrate that the electronic attack affected the current and voltage for each solar cell at the attack simulation time of 0.4 seconds.
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Copyright (c) 2025 Aqeel Sajjad Shaeel, Huda Hussein Abed, Ahmed Fahim Al-Baghdadi
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