Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids
This paper proposes a rule-based algorithm for fast prediction of long-term voltage stability status immediately after a disturbance, eliminating the need for post-disturbance measurements. Unlike traditional Phasor Measurement Unit (PMU) dependent methods vulnerable to cyber threats like data spoof...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11121844/ |
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| author | Mahtab Khalilifar Seyed Mohammad Shahrtash |
| author_facet | Mahtab Khalilifar Seyed Mohammad Shahrtash |
| author_sort | Mahtab Khalilifar |
| collection | DOAJ |
| description | This paper proposes a rule-based algorithm for fast prediction of long-term voltage stability status immediately after a disturbance, eliminating the need for post-disturbance measurements. Unlike traditional Phasor Measurement Unit (PMU) dependent methods vulnerable to cyber threats like data spoofing, the proposed approach uses PMU data only for initial system updates. It first validates measurements against the last trusted system state using consistency checks, corrects any discrepancies, and then bases stability decisions on inherent characteristics—power flow convergence and generator reactive power margins—ensuring cyber-resilient operation. The method’s rule-based logic ensures intrinsic immunity to cybersecurity risks while maintaining compatibility with both large and small disturbances triggering long-term voltage instability. Optimized for real-time operation, the simulation-based algorithm meets stringent computational speed requirements for online stability assessment. Comprehensive simulations on IEEE test systems under N-1/N-2 contingencies and load disturbances demonstrate three key advantages: 1) Early and accurate voltage stability prediction (96.8% detection accuracy), 2) Reliable identification of critical generators/loads contributing to instability, and 3) Cyber-resilient operation verified through adversarial test cases. The results establish the method as a transparent, infrastructure-independent solution for grid stability monitoring, particularly valuable for cybersecurity-sensitive environments. |
| format | Article |
| id | doaj-art-2d137b1406b74ee2a4ca737657c1cf1c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-2d137b1406b74ee2a4ca737657c1cf1c2025-08-20T04:03:18ZengIEEEIEEE Access2169-35362025-01-011314226214227310.1109/ACCESS.2025.359755511121844Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient GridsMahtab Khalilifar0https://orcid.org/0000-0002-2397-2350Seyed Mohammad Shahrtash1https://orcid.org/0000-0003-4459-5416Center of Excellence for Power System Automation and Operation, Iran University of Science and Technology (IUST), Tehran, IranCenter of Excellence for Power System Automation and Operation, Iran University of Science and Technology (IUST), Tehran, IranThis paper proposes a rule-based algorithm for fast prediction of long-term voltage stability status immediately after a disturbance, eliminating the need for post-disturbance measurements. Unlike traditional Phasor Measurement Unit (PMU) dependent methods vulnerable to cyber threats like data spoofing, the proposed approach uses PMU data only for initial system updates. It first validates measurements against the last trusted system state using consistency checks, corrects any discrepancies, and then bases stability decisions on inherent characteristics—power flow convergence and generator reactive power margins—ensuring cyber-resilient operation. The method’s rule-based logic ensures intrinsic immunity to cybersecurity risks while maintaining compatibility with both large and small disturbances triggering long-term voltage instability. Optimized for real-time operation, the simulation-based algorithm meets stringent computational speed requirements for online stability assessment. Comprehensive simulations on IEEE test systems under N-1/N-2 contingencies and load disturbances demonstrate three key advantages: 1) Early and accurate voltage stability prediction (96.8% detection accuracy), 2) Reliable identification of critical generators/loads contributing to instability, and 3) Cyber-resilient operation verified through adversarial test cases. The results establish the method as a transparent, infrastructure-independent solution for grid stability monitoring, particularly valuable for cybersecurity-sensitive environments.https://ieeexplore.ieee.org/document/11121844/Voltage stability assessmentrule based algorithmunlimited power flowcybersecurity |
| spellingShingle | Mahtab Khalilifar Seyed Mohammad Shahrtash Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids IEEE Access Voltage stability assessment rule based algorithm unlimited power flow cybersecurity |
| title | Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids |
| title_full | Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids |
| title_fullStr | Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids |
| title_full_unstemmed | Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids |
| title_short | Early Detection of Voltage Instability: A Transparent, Rule-Based Method for Cyber-Resilient Grids |
| title_sort | early detection of voltage instability a transparent rule based method for cyber resilient grids |
| topic | Voltage stability assessment rule based algorithm unlimited power flow cybersecurity |
| url | https://ieeexplore.ieee.org/document/11121844/ |
| work_keys_str_mv | AT mahtabkhalilifar earlydetectionofvoltageinstabilityatransparentrulebasedmethodforcyberresilientgrids AT seyedmohammadshahrtash earlydetectionofvoltageinstabilityatransparentrulebasedmethodforcyberresilientgrids |