Protocolo de enmascaramiento para observador en pila de combustible
Enviado: 19-06-2024
|Aceptado: 18-09-2024
|Publicado: 30-09-2024
Derechos de autor 2024 P. Baldomà-Mitjans, Andreu Cecilia, Ramón Costa Castelló

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
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Palabras clave:
Diseño de observadores y filtros no lineales, Filtrado y estimación para ataques FDI, Estabilidad entrada-estado, Estabilidad de sistemas no lineales, Métodos de Lyapunov
Agencias de apoyo:
Resumen:
En los últimos años, las pilas de combustible de membrana electrolítica polimérica han visto incrementada su popularidad debido a su alta eficiencia energética y sus nulas emisiones en operación. Una de las aplicaciones destacadas para estos dispositivos es su inclusión en redes eléctricas inteligentes. En el marco de control de estas redes, una o varias capas de control se suelen implementar en el ciberespacio, lo que añade el riesgo de la posible recepción de ciberataques. Con esto en mente, en este trabajo se considera el problema de protección de observadores aplicados en pilas de combustible. En concreto, se considera un observador no lineal, basado en propiedades de pasividad, y se propone un mecanismo modular de enmascarado-desenmascarado con propósitos de protección ante ciberataques de espionaje.
Citas:
Angeli, D., 2002. A lyapunov approach to incremental stability properties. IEEE Transactions on Automatic Control 47 (3), 410-421. https://doi.org/10.1109/9.989067
Barroso, L. A., Rudnick, H., Sensfuss, F., Linares, P., 2010. The green effect. IEEE Power and Energy Magazine 8 (5), 22-35. https://doi.org/10.1109/MPE.2010.937595
Bernstein, P. A., Heuer, M., Wenske, M., 2013. Fuel cell system as a part of the smart grid. In: 2013 IEEE Grenoble Conference. pp. 1-4. https://doi.org/10.1109/PTC.2013.6652334
Boudghene Stambouli, A., Traversa, E., 2002. Fuel cells, an alternative to standard sources of energy. Renewable and Sustainable Energy Reviews 6 (3), 295-304. https://doi.org/10.1016/S1364-0321(01)00015-6
Boyd, S., El Ghaoui, L., Feron, E., Balakrishnan, V., 1994. Linear matrixinequalities in system and control theory. SIAM. https://doi.org/10.1137/1.9781611970777
Cecilia, A., Astolfi, D., Bin, M., Costa-Castelló, R., 2023a. Cancelling output disturbances in observer design through internal model filters. Automatica. https://doi.org/10.1016/j.automatica.2024.111529
Cecilia, A., Astolfi, D., Casadei, G., Costa-Castelló, R., Nesic, D., 2023b. A masking protocol for private communication and attack detection in nonlinear observers. 62nd IEEE Conference on Decision and Control. https://doi.org/10.1109/CDC49753.2023.10383327
Cecilia, A., Astolfi, D., Costa-Castelló R., 2024. A new nonlinear observer for liquid water estimation in fuel cells. IEEE Transactions on Control Systems Technology 32 (3), 990-1001. https://doi.org/10.1109/TCST.2023.3337512
Cecilia, A., Serra, M., Costa-Castelló, R., 2021. Nonlinear adaptive observation of the liquid water saturation in polymer electrolyte membrane fuel cells. Journal of Power Sources 492, 229641. https://doi.org/10.1016/j.jpowsour.2021.229641
Daud, W., Rosli, R., Majlan, E., Hamid, S., Mohamed, R., Husaini, T., 2017. Pem fuel cell system control: A review. Renewable Energy 113, 620-638. https://doi.org/10.1016/j.renene.2017.06.027
Dragicevic, T., Lu, X., Vasquez, J. C., Guerrero, J. M., 2016. Dc microgrids-part i: A review of control strategies and stabilization techniques. IEEE Transactions on Power Electronics 31 (7), 4876-4891.
Gupta, R. A., Chow, M.-Y., 2008. Networked control systems: Theory and Ap-plications. Springer-Verlag London.
Hosseini, S. E., Wahid, M. A., 2016. Hydrogen production from renewable and sustainable energy resources: Promising green energy carrier for clean development. Renewable and Sustainable Energy Reviews 57, 850-866. https://doi.org/10.1016/j.rser.2015.12.112
Ison, S., Budd, L., Mahmoud, M. S., Xia, Y., 2020. Cloud Control Systems: Analysis, Design and Estimation. Emerging Methodologies and Applications in Modelling. Academic Press.
Jiao, K., Li, X., 2011. Water transport in polymer electrolyte membrane fuel cells. Progress in Energy and Combustion Science 37 (3), 221-291. https://doi.org/10.1016/j.pecs.2010.06.002
Li, Z., Zheng, Z., Xu, L., Lu, X., 10 2019. A review of the applications of fuel cells in microgrids: opportunities and challenges. BMC Energy 1 (1), 8. https://doi.org/10.1186/s42500-019-0008-3
Liang, G.,Weller, S. R., Zhao, J., Luo, F., Dong, Z. Y., 2017. The 2015 ukraine blackout: Implications for false data injection attacks. IEEE Transactions on Power Systems 32 (4), 3317-3318. https://doi.org/10.1109/TPWRS.2016.2631891
Pavlov, A., Marconi, L., 2008. Incremental passivity and output regulation. Systems & Control Letters 57 (5), 400-409. https://doi.org/10.1016/j.sysconle.2007.10.008
Schultze, M., Horn, J., 2016. Modeling, state estimation and nonlinear model predictive control of cathode exhaust gas mass flow for pem fuel cells. Control Engineering Practice 49, 76-86. https://doi.org/10.1016/j.conengprac.2016.01.006
Strahl, S., Husar, A., Puleston, P., Riera, J., 2014. Performance improvement by temperature control of an open-cathode pem fuel cell system. Fuel Cells 14 (3), 466-478. https://doi.org/10.1002/fuce.201300211
Sánchez, H. S., Rotondo, D., Escobet, T., Puig, V., Quevedo, J., 2019. Bibliographical review on cyber attacks from a control oriented perspective. Annual Reviews in Control 48, 103-128. https://doi.org/10.1016/j.arcontrol.2019.08.002
Teixeira, A., Shames, I., Sandberg, H., Johansson, K. H., 2015. A secure control framework for resource-limited adversaries. Automatica 51, 135-148. https://doi.org/10.1016/j.automatica.2014.10.067
Thakur, K., Ali, M. L., Jiang, N., Qiu, M., 2016. Impact of cyber-attacks on critical infrastructure. In: 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS). pp. 183-186. https://doi.org/10.1109/BigDataSecurity-HPSC-IDS.2016.22
Tsinias, J., 1989. Observer design for nonlinear systems. Systems & Control Letters 13 (2), 135-142. https://doi.org/10.1016/0167-6911(89)90030-3