Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks

被引:1
|
作者
Ahmed, Zahoor [1 ]
Nasir, Muhammad [2 ]
Alsekait, Deema Mohammed [3 ]
Shah, Muhammad Zohaib Hassan [4 ]
Abdelminaam, Diaa Salama [5 ,6 ]
Ahmad, Furqan [7 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Univ Tasmania, Sch Informat & Commun Technol, Hobart 7248, Australia
[3] Princess Nourah bint Abdulrahman Univ, Appl Coll, Dept Comp Sci, POB 84428, Riyadh 11671, Saudi Arabia
[4] Int Ctr Primate Brain Res, Shanghai 201602, Peoples R China
[5] Middle East Univ, MEU Res Unit, Amman 11831, Jordan
[6] Jadara Univ, Jadara Res Ctr, Irbid 21110, Jordan
[7] Western Caspian Univ, Baku 1001, Azerbaijan
关键词
cyber-physical system; multi-area power system; sliding mode control; false data injection attacks; attack observer;
D O I
10.3390/en17225757
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Power cyber-physical systems such as multi-area power systems (MAPSs) have gained considerable attention due to their integration of power electronics with wireless communications technologies. Incorporating a communication setup enhances the sustainability, reliability, and efficiency of these systems. Amidst these exceptional benefits, such systems' distributed nature invites various cyber-attacks. This work focuses on the equal power sharing of MAPSs in the event of false data injection (FDI) attacks. The proposed work uses a sliding mode control (SMC) mechanism to ensure timely detection of challenges such as FDI attacks and load change, making MAPSs reliable and secure. First, a SMC-based strategy is deployed to enable the detection and isolation of compromised participants in MAPS operations to achieve equal power sharing. Second, time-varying FDI attacks on MAPSs are formulated and demonstrate their impact on equal power sharing. Third, a robust adaptive sliding mode observer is used to accurately assess the state of the MAPS to handle state errors robustly and automatically adjust parameters for identifying FDI attacks and load changes. Lastly, simulation results are presented to explain the useful ability of the suggested method.
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页数:19
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