Robust networked power system load frequency control against hybrid cyber attack
Abstract Modern network and communication technologies are essential for the implementation and operation of load frequency control (LFC) systems. The measurements of crucial LFC system parameters will be compromised by attackers, rendering data received by the defence inaccurate and causing frequen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-08-01
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| Series: | IET Smart Grid |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/stg2.12107 |
| _version_ | 1797744909884588032 |
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| author | Xinxin Lv Yonghui Sun Venkata Dinavahi Xinlong Zhao Feng Qiao |
| author_facet | Xinxin Lv Yonghui Sun Venkata Dinavahi Xinlong Zhao Feng Qiao |
| author_sort | Xinxin Lv |
| collection | DOAJ |
| description | Abstract Modern network and communication technologies are essential for the implementation and operation of load frequency control (LFC) systems. The measurements of crucial LFC system parameters will be compromised by attackers, rendering data received by the defence inaccurate and causing frequency fluctuations or even system collapse. To detect the potential attack on measured data and keep the LFC performance, an adaptive event‐triggered scheme with fractional order global sliding mode control scheme is proposed in this paper. Furthermore, Markov theory is employed for the modelling process with energy storage to present a multi‐area LFC power system considering renewable energy and hybrid cyber attacks. Stability and stabilisation criteria are built by employing improved Lyapunov stability theory and second‐order Bessel‐Legendre inequality. Finally, a two‐area LFC system under hybrid cyber attacks and a modified IEEE 39‐bus New England test power system with 3 wind farms are simulated to explore the efficacy of the proposed method. |
| first_indexed | 2024-03-12T15:15:55Z |
| format | Article |
| id | doaj.art-5f1280ab7e824391879ea24516864bad |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-03-12T15:15:55Z |
| publishDate | 2023-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-5f1280ab7e824391879ea24516864bad2023-08-11T12:33:32ZengWileyIET Smart Grid2515-29472023-08-016439140210.1049/stg2.12107Robust networked power system load frequency control against hybrid cyber attackXinxin Lv0Yonghui Sun1Venkata Dinavahi2Xinlong Zhao3Feng Qiao4School of Information Science and Engineering Zhejiang Sci‐tech University Hangzhou ChinaCollege of Energy and Electrical Engineering Hohai University Nanjing ChinaDepartment of Electrical and Computer Engineering University of Alberta Edmonton Alberta CanadaSchool of Information Science and Engineering Zhejiang Sci‐tech University Hangzhou ChinaSchool of Information Science and Engineering Zhejiang Sci‐tech University Hangzhou ChinaAbstract Modern network and communication technologies are essential for the implementation and operation of load frequency control (LFC) systems. The measurements of crucial LFC system parameters will be compromised by attackers, rendering data received by the defence inaccurate and causing frequency fluctuations or even system collapse. To detect the potential attack on measured data and keep the LFC performance, an adaptive event‐triggered scheme with fractional order global sliding mode control scheme is proposed in this paper. Furthermore, Markov theory is employed for the modelling process with energy storage to present a multi‐area LFC power system considering renewable energy and hybrid cyber attacks. Stability and stabilisation criteria are built by employing improved Lyapunov stability theory and second‐order Bessel‐Legendre inequality. Finally, a two‐area LFC system under hybrid cyber attacks and a modified IEEE 39‐bus New England test power system with 3 wind farms are simulated to explore the efficacy of the proposed method.https://doi.org/10.1049/stg2.12107linear matrix inequalities load frequency controlLyapunov methodspower system stabilityrobust control |
| spellingShingle | Xinxin Lv Yonghui Sun Venkata Dinavahi Xinlong Zhao Feng Qiao Robust networked power system load frequency control against hybrid cyber attack IET Smart Grid linear matrix inequalities load frequency control Lyapunov methods power system stability robust control |
| title | Robust networked power system load frequency control against hybrid cyber attack |
| title_full | Robust networked power system load frequency control against hybrid cyber attack |
| title_fullStr | Robust networked power system load frequency control against hybrid cyber attack |
| title_full_unstemmed | Robust networked power system load frequency control against hybrid cyber attack |
| title_short | Robust networked power system load frequency control against hybrid cyber attack |
| title_sort | robust networked power system load frequency control against hybrid cyber attack |
| topic | linear matrix inequalities load frequency control Lyapunov methods power system stability robust control |
| url | https://doi.org/10.1049/stg2.12107 |
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