Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System
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 appe...
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University of Diyala
2025-06-01
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| Series: | Diyala Journal of Engineering Sciences |
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| Online Access: | https://www.djes.info/index.php/djes/article/view/1542 |
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| author | Aqeel Sajjad Shaeel Huda Hussein Abed Ahmed Fahim Al-Baghdadi |
| author_facet | Aqeel Sajjad Shaeel Huda Hussein Abed Ahmed Fahim Al-Baghdadi |
| author_sort | Aqeel Sajjad Shaeel |
| collection | DOAJ |
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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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| format | Article |
| id | doaj-art-a0d32497764a445bae4ec6a51f62aa48 |
| institution | Kabale University |
| issn | 1999-8716 2616-6909 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | University of Diyala |
| record_format | Article |
| series | Diyala Journal of Engineering Sciences |
| spelling | doaj-art-a0d32497764a445bae4ec6a51f62aa482025-08-20T03:31:29ZengUniversity of DiyalaDiyala Journal of Engineering Sciences1999-87162616-69092025-06-0118210.24237/djes.2025.18210Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm SystemAqeel Sajjad Shaeel0Huda Hussein Abed1Ahmed Fahim Al-Baghdadi2Engineering Technical College-Najaf, Al-Furat Al-Awsat Technical University, Najaf, IraqDepartment of Communication Techniques, Engineering Technical College-Najaf, Al-Furat Al-Awsat Technical University, Najaf, Iraq.Department of Medical Devices Techniques, Najaf Technical Institute, Al-Furat Al-Awsat Technical University, Najaf, Iraq. 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. https://www.djes.info/index.php/djes/article/view/1542TDASCF PV Farm MPPT Cybersecurity |
| spellingShingle | Aqeel Sajjad Shaeel Huda Hussein Abed Ahmed Fahim Al-Baghdadi Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System Diyala Journal of Engineering Sciences TDA SCF PV Farm MPPT Cybersecurity |
| title | Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System |
| title_full | Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System |
| title_fullStr | Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System |
| title_full_unstemmed | Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System |
| title_short | Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System |
| title_sort | modeling and detection of cyber and physical attacks on the control unit of pv farm system |
| topic | TDA SCF PV Farm MPPT Cybersecurity |
| url | https://www.djes.info/index.php/djes/article/view/1542 |
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