پایدارسازی و سنکرون‌سازی ریزشبکه جزیره‌ای با حضور خطا و حمله سایبری سنسوری و عملگری با طراحی کنترل‌کننده ثانویه
محورهای موضوعی : مهندسی برق و کامپیوترعبدالله میرزابیگی 1 , علی کاظمی 2 , مهدی رمضانی 3 , سیدمحمد عظیمی 4
1 - دانشکده مهندسی برق، مؤسسه آموزش عالی جهاد دانشگاهی همدان
2 - دانشکده مهندسی برق، دانشگاه تفرش
3 - دانشکده ریاضی، دانشگاه تفرش
4 - دانشکده مهندسی برق، دانشگاه صنعتی همدان
کلید واژه: ریزشبکه, خطای سنسوری و عملگری, حمله سایبری سنسوری و عملگری, سیستم‌های چندعامله, کنترل سلسه‌مراتبی توزیع‌شده اشتراکی, سنکرون‌سازی, پایداری لیاپانوف,
چکیده مقاله :
در بسیاری از روش‌های کنترلی ریزشبکه برای پایداری و سنکرون‌سازی ولتاژ و فرکانس از اطلاعات خروجی سنسورها و عملگرهای منابع تولید پراکنده همجوار استفاده می‌شود. بسیاری از مشکلات مانند اختلالات، عدم قطعیت، دینامیک مدل‌نشده، حملات سایبری، نویز، تأخیر و خطاهای اندازه‌گیری، مشکلات داده نامعتبر و خطا را در سیستم ایجاد می‌کند. کنترل بهتر ریزشبکه به کیفیت داده‌های اندازه‌گیری‌شده و یا ارسال‌شده از خروجی سنسورها و عملگرها بستگی دارد. در این مقاله با توجه به مزیت‌های روش کنترلی سلسله‌مراتبی توزیع‌شده اشتراکی از آن برای کنترل و سنکرون‌سازی در ریزشبکه جزیره‌ای با حضور خطای سنسوری و عملگری استفاده می‌گردد. برای سنکرون‌سازی منابع تولید پراکنده با سیستم‌های چندعامله و شبکه ارتباطی با تئوری گراف مدل می‌گردد. به‌منظور پایدارسازی و سنکرون‌سازی، خطای سنسوری و عملگری در مدل منابع تولید پراکنده فرمول‌بندی ریاضی می‌شود. در اثبات پایداری و سنکرون‌سازی تابع لیاپانوف مناسب ارائه شده و شرایط پایداری و سنکرون‌سازی اثبات می‌گردد. در نهایت برای نشان‌دادن کارایی کنترل‌کننده طراحی شده در حل مشکلات کانال ارتباطی و تأیید تئوری ارائه شده، یک مدل نمونه با وجود خطا و حمله سایبری سنسوری و عملگری در محیط نرم‌افزار متلب/ سیمولینک شبیه‌سازی می‌شود.
In many microgrid control methods, the output information of sensors and actuators of neighbouring distributed generators (DGs) is used to stabilize and synchronize voltage and frequency. Many problems such as disturbances, uncertainty, unmodeled dynamics, cyber-attacks, noise, time delay, and measurement errors cause invalid data problems and errors in the system. Better microgrid control depends on the quality of data measured or sent from the output of sensors and actuators. In this paper, according to the advantages of the Cooperative distributed hierarchical control, it is used for control and synchronization in the islanded microgrid with the presence of sensor and actuator error. To synchronize DGs with multi-agent systems and communication channels, it is modeled with graph theory. To stabilize and synchronize, sensor and actuator error in the DG model is mathematically formulated. In the proof of stability and synchronization, the appropriate Lyapunov candidate is presented and the conditions of stability and synchronization are proved. Finally, to show the effectiveness of the designed controller in solving communication channel problems and verifying the presented theory, a case study is simulated in the MATLAB/Simulink software environment with the presence of error and cyber-attack of sensors and actuators.
[1] L. Meng, et al., "Review on control of DC microgrids and multiple microgrid clusters," IEEE J. of Emerging and Selected Topics in Power Electronics, vol. 5, no. 3, pp. 928-948, Sept. 2017.
[2] A. Bidram and A. Davoudi, "Hierarchical structure of microgrids control system," IEEE Trans. on Smart Grid, vol. 3, no. 4, pp. 1963-1976, Dec. 2012.
[3] M. Chen, X. Xiao, and J. M. Guerrero, "Secondary restoration control of islanded microgrids with a decentralized event-triggered strategy," IEEE Trans. on Industrial Informatics, vol. 14, no. 9, pp. 3870-3880, Sept. 2017.
[4] A. Mirzabeigi, A. Kazemy, M. Ramezani, and S. M. Azimi, "Distributed robust cooperative hierarchical control for island microgrids under hijacking attacks based on multi-agent systems," Hindawi International Trans. on Electrical Energy Systems, vol. 2023, Article ID 6622346, 15 pp., 2023.
[5] ع. میرزابیگی، ع. کاظمی، م. رمضانی ، و س. م. عظیمی" طراحی کنترل کننده ثانویه پایه ریزی شده بر روی کنترل اشتراکی توزیع شده منابع تولید پراکنده (DGها) با رویکرد سیستم های چندعامله با درنظرگرفتن حملات سایبری "DoS، نشریه مهندسی برق و مهندسی کامپیوتر ایران، الف- مهندسی برق، سال 20، شماره 4، صص. 290-282، زمستان 1401.
[6] H. Modares, B. Kiumarsi, F. L. Lewis, F. Ferrese, and A. Davoudi, "Resilient and robust synchronization of multiagent systems under attacks on sensors and actuators," IEEE Trans. on Cybernetics, vol. 50, no. 3, pp. 1240-1250, Mar. 2019.
[7] X. M. Zhang, Q. L. Han, X. Ge, and L. Ding, "Resilient control design based on a sampled-data model for a class of networked control systems under denial-of-service attacks," IEEE Trans. on Cybernetics, vol. 50, no. 8, pp. 3616-3626, Aug. 2019.
[8] A. Teixeira, D. Pérez, H. Sandberg, and K. H. Johansson, "Attack models and scenarios for networked control systems," in Proc. of the 1st Int. Conf. on High Confidence Networked Systems, HiCoNS'12, pp. 55-64, Beijing, China, 17-18 Apr. 2012.
[9] E. Mousavinejad, F. Yang, Q. L. Han, and L. Vlacic, "A novel cyber attack detection method in networked control systems," IEEE Trans. on Cybernetics, vol. 48, no. 11, pp. 3254-3264, Nov. 2018.
[10] S. Tan, P. Xie, J. M. Guerrero, and J. C. Vasquez, "False data injection cyber-attacks detection for multiple DC microgrid clusters," Applied Energy, vol. 310, Article ID: 118425, 15 Mar. 2022.
[11] B. Wang, Q. Sun, R. Han, and D. Ma, "Consensus-based secondary frequency control under denial-of-service attacks of distributed generations for microgrids," J. of the Franklin Institute, vol. 358, no. 1, pp. 114-130, Jan. 2019.
[12] M. Xie, Y. Song, and S. Shen, "Event-based consensus control for multi-agent systems against joint sensor and actuator attacks," ISA Trans., vol. 127, pp. 156-167, Aug. 2022.
[13] H. Yan, J. Han, H. Zhang, X. Zhan, and Y. Wang, "Adaptive event-triggered predictive control for finite time microgrid," IEEE Trans. on Circuits and Systems I: Regular Papers, vol. 67, no. 3, pp. 1035-1044, Mar. 2020.
[14] M. Shi, X. Chen, M. Shahidehpour, Q. Zhou, and J. Wen, "Observer-based resilient integrated distributed control against cyberattacks on sensors and actuators in islanded AC microgrids," IEEE Trans. on Smart Grid, vol. 12, no. 3, pp. 1953-1963, May 2021.
[15] X. Lu, X. Yu, J. Lai, J. M. Guerrero, and H. Zhou, "Distributed secondary voltage and frequency control for islanded microgrids with uncertain communication links," IEEE Trans. on Industrial Informatics, vol. 13, no. 2, pp. 448-460, Apr. 2016.
[16] J. Lai, H. Zhou, X. Lu, X. Yu, and W. Hu, "Droop-based distributed cooperative control for microgrids with time-varying delays," IEEE Trans. on Smart Grid, vol. 7, no. 4, pp. 1775-1789, Jul. 2016.
[17] H. Xin, Z. Qu, J. Seuss, and A. Maknouninejad, "A self-organizing strategy for power flow control of photovoltaic generators in a distribution network," IEEE Trans. on Power Systems, vol. 26, no. 3, pp. 1462-1473, Aug. 2010.
[18] S. Abhinav, I. D. Schizas, F. L. Lewis, and A. Davoudi, "Distributed noise-resilient networked synchrony of active distribution systems," IEEE Trans. on Smart Grid, vol. 9, no. 2, pp. 836-846, Mar. 2016.
[19] D. Ye, X. Zhao, and B. Cao, "Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults," IET Control Theory & Applications, vol. 10, no. 5, pp. 554-563, Mar. 2016.
[20] Y. Wang, Y. Song, and F. L. Lewis, "Robust adaptive fault-tolerant control of multiagent systems with uncertain nonidentical dynamics and undetectable actuation failures," IEEE Trans. on Industrial Electronics, vol. 62, no. 6, pp. 3978-3988, Jun. 2015.
[21] S. Zuo, T. Altun, F. L. Lewis, and A. Davoudi, "Distributed resilient secondary control of DC microgrids against unbounded attacks," IEEE Trans. on Smart Grid, vol. 11, no. 5, pp. 3850-3859, Sept. 2020.
[22] B. Wang, Q. Sun, and D. Ma, "A periodic event-triggering reactive power sharing control in an islanded microgrid considering DoS attacks," in Proc. 15th IEEE Conf. on Industrial Electronics and Applications, ICIEA'20, pp. 170-175, Kristiansand, Norway, 9-13 Nov. 2020.
[23] R. Lu and J. Wang, "Distributed control for AC microgrids with false data injection attacks and time delays," in Proc. E3S Web of Conf., vol. 194, Article ID: 03023, 2020.
[24] N. M. Dehkordi and S. Z. Moussavi, "Distributed resilient adaptive control of islanded microgrids under sensor/actuator faults," IEEE Trans. on Smart Grid, vol. 11, no. 3, pp. 2699-2708, May 2019.
[25] Z. Xie and Z. Wu, "Distributed fault-tolerant secondary control for DC microgrids against false data injection attacks," International J. of Electrical Power & Energy Systems, vol. 144, Article ID: 108599, Jan. 2023.
[26] A. Karimi, A. Ahmadi, Z. Shahbazi, H. Bevrani, and Q. Shafiee, "On the impact of cyber-attacks on distributed secondary control of DC microgrids," in Proc. 10th Smart Grid Conf., SGC'2020, 6 pp., Kashan, Iran, 16-17 Dec. 2020.
[27] X. Chen, J. Zhou, M. Shi, Y. Chen, and J. Wen, "Distributed resilient control against denial of service attacks in DC microgrids with constant power load," Renewable and Sustainable Energy Reviews, vol. 153, Article ID: 111792, Jan. 2022.
[28] N. Pogaku, M. Prodanovic, and T. C. Green, "Modeling, analysis and testing of autonomous operation of an inverter-based microgrid," IEEE Trans. on Power Electronics, vol. 22, no. 2, pp. 613-625, Mar. 2007.
[29] Q. Shafiee, J. M. Guerrero, and J. C. Vasquez, "Distributed secondary control for islanded microgrids-a novel approach," IEEE Trans. on Power Electronics, vol. 29, no. 2, pp. 1018-1031, Feb. 2013.
[30] A. Bidram, A. Davoudi, F. L. Lewis, and Z. Qu, "Secondary control of microgrids based on distributed cooperative control of multi-agent systems," IET Generation, Transmission & Distribution, vol. 7, no. 8, pp. 822-831, Aug. 2013.
[31] A. Bidram, A. Davoudi, F. L. Lewis, and J. M. Guerrero, "Distributed cooperative secondary control of microgrids using feedback linearization," IEEE Trans. on Power Systems, vol. 28, no. 3, pp. 3462-3470, Aug. 2013.
[32] J. W. Simpson-Porco, et al., "Secondary frequency and voltage control of islanded microgrids via distributed averaging," IEEE Trans. on Industrial Electronics, vol. 62, no. 11, pp. 7025-7038, Nov. 2015.
[33] F. Guo, C. Wen, J. Mao, J. Chen, and Y. D. Song, "Distributed cooperative secondary control for voltage unbalance compensation in an islanded microgrid," IEEE Trans. on Industrial Informatics, vol. 11, no. 5, pp. 1078-1088, Oct. 2015.
[34] H. Cai, F. L. Lewis, G. Hu, and J. Huang, "The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems," Automatica, vol. 75, pp. 299-305, Jan. 2017.
[35] F. L. Lewis, H. Zhang, K. Hengster-Movric, and A. Das, Cooperative Control of Multi-Agent Systems Optimal and Adaptive Design Approaches, SpringerLink, 2014.
[36] A. Mustafa, H. Modares, and R. Moghadam, "Resilient synchronization of distributed multi-agent systems under attacks," Automatica, vol. 115, Article ID: 108869, May 2020.
[37] A. Bidram, F. L. Lewis, and A. Davoudi, "Distributed control systems for small-scale power networks: using multiagent cooperative control theory," IEEE Control Systems Magazine, vol. 34, no. 6, pp. 56-77, Dec. 2014.
[38] F. D. Mohammadi, H. K. Vanashi, and A. Feliachi, "State-space modeling, analysis, and distributed secondary frequency control of isolated microgrids," IEEE Trans. on Energy Conversion, vol. 33, no. 1, pp. 155-165, Mar. 2017.
[39] D. Ding, Q. L. Han, Y. Xiang, X. Ge, and X. M. Zhang, "A survey on security control and attack detection for industrial cyber-physical systems," Neurocomputing, vol. 275, pp. 1674-1683, 31 Jan. 2018.
[40] A. Kazemy, J. Lam, and Z. Chang, "Adaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability," International J. of Systems Science, vol. 2020, pp. 1426-1439, 2020.
[41] C. Chen, et al., "Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults," Automatica, vol. 102, pp. 19-26, Apr. 2019.
[42] H. Zhang, F. L. Lewis, and A. Das, "Optimal design for synchronization of cooperative systems: state feedback, observer and output feedback," IEEE Trans. on Automatic Control, vol. 56, no. 8, pp. 1948-1952, Aug. 2011.
