Intelligent microgrid collaborative adaptive elastic control under the denial of service attack

Abstract

Abstract: With the extensive application of distributed microgrid, the information transmission between its units is vulnerable to malicious attacks. Moreover, the means of attack tend to be intelligent and diverse, with continuous improvement of attack capability that can lead to space security accidents in microgrid, posing substantial risks. Facing its security problems, this paper proposes the distributed collaborative adaptive elastic control method in the presence of denial-of-service (DoS) attacks. First, based on the state space model of the distributed microgrid, the dynamic equation of the existence of the attack is obtained. Secondly, according to these dynamic equation, the cooperative controller in the presence of the attack is designed to synchronize the system states with the given reference value to some extent. In addition, the adaptive elastic protocol is designed to ensure bounded consensus of the system, achieving global voltage regulation. Finally, the proposed control method is validated through simulations, demonstrating its effectiveness and robustness compared to the common fuzzy PID control.

Key words: distributional microgrid, DoS attack, collaborative control, adaptive elastic protocol

CLC Number:

TP13

FENG Yi-wei, JIA Wen. Intelligent microgrid collaborative adaptive elastic control under the denial of service attack[J]. Journal of Lanzhou University of Technology, 2025, 51(4): 81-87.

References

[1] ZUO S,ALTUN T,LEWIS F L,et al.Distributed resilient secondary control of DC microgrids against unbounded attacks[J].IEEE Transactions on Smart Grid,2020,11(5):3850-3859.
[2] KOSUT O,JIA L,THOMAS R J,et al.Malicious data attacks on the smart grid[J].IEEE Transactions on Smart Grid,2011,2(4):645-658.
[3] LIANG G,ZHAO J,LUO F,et al.A review of false data injection attacks against modern power systems[J].IEEE Transactions on Smart Grid,2016,8(4):1630-1638.
[4] AHMED M,PATHAN A S K.False data injection attack (FDIA):an overview and new metrics for fair evaluation of its countermeasure[J].Complex Adaptive Systems Modeling,2020,8(1):1-14.
[5] LIU X K,WEN C,XU Q,et al.Resilient control and analysis for DC microgrid system under DoS and impulsive FDI attacks[J].IEEE Transactions on Smart Grid,2021,12(5):3742-3754.
[6] ZUO S,BEG O A,LEWIS F L,et al.Resilient networked AC microgrids under unbounded cyber attacks[J].IEEE Transactions on Smart Grid,2020,11(5):3785-3794.
[7] DENG C,WANG Y,WEN C,et al.Distributed resilient control for energy storage systems in cyber-physical microgrids[J].IEEE Transactions on Industrial Informatics,2020,17(2):1331-1341.
[8] ZHOU Q,SHAHIDEHPOUR M,PAASO A,et al.Distributed control and communication strategies in networked microgrids[J].IEEE Communications Surveys & Tutorials,2020,22(4):2586-2633.
[9] BEG O A,NGUYEN L V,JOHNSON T T,et al.Cyber-physical anomaly detection in microgrids using time-frequency logic formalism[J].IEEE Access,2021,9:20012-20021.
[10] SAHOO S,MISHRA S,PENG J C H,et al.A stealth cyber-attack detection strategy for DC microgrids[J].IEEE Transactions on Power Electronics,2018,34(8):8162-8174.
[11] SAHOO S,PENG J C H,DEVAKUMAR A,et al.On detection of false data in cooperative DC microgrids—a discordant element approach[J].IEEE Transactions on Industrial Electronics,2019,67(8):6562-6571.
[12] LIU X Y,CHE W W.Event-based distributed secondary voltage tracking control of microgrids under DoS attacks[J].Information Sciences,2022,608:1572-1590.
[13] SUN Q,WANG B,FENG X,et al.Small-signal stability and robustness analysis for microgrids under time-constrained DoS attacks and a mitigation adaptive secondary control method[J].Science China Information Sciences,2022,65(6):1-18.
[14] LI Y,MEGN W,FAN S,et al.Distributed aperiodic control of multibus DC microgrids with DoS-attack resilience[J].IEEE Transactions on Smart Grid,2022,13(6):4815-4827.
[15] LIAN Z,GUO F,WEN C,et al.Distributed resilient optimal current sharing control for an islanded DC microgrid under DoS attacks[J].IEEE Transactions on Smart Grid,2021,12(5):4494-4505.
[16] HU S,YANG F,GORBACHEV S,et al.Resilient control design for networked DC microgrids under time-constrained DoS attacks[J].ISA Transactions,2022,127:197-205.
[17] BIDRAM A,DAVOUDI A,LEWIS F L,et al.Distributed cooperative secondary control of microgrids using feedback linearization[J].IEEE Transactions on Power Systems,2013,28(3):3462-3470.
[18] 袁萍.DoS 攻击下的事件触发控制及其在直流微电网系统中的应用[D].南京:南京邮电大学,2020.
[19] SAHOO S,MISHRA S,PENG J C H,et al.A stealth cyber-attack detection strategy for DC microgrids[J].IEEE Transactions on Power Electronics,2018,34(8):8162-8174.
[20] ZHANG H,LEWIS F L,DAS A.Optimal design for synchronization of cooperative systems:state feedback,observer and output feed-back[J].IEEE Transactions on Automatic Control,2011,56(8):1948-1952.
[21] CHEN C,XIE K,LEWIS F L,et al.Adaptive synchronization of multi-agent systems with resilience to communication link faults[J].Automatica,2020,111:108636.