ipolytechiPolytech JournaliPolytech Journal2782-40042782-6341Irkutsk National Research Technical University10.21285/1814-3520-2023-4-773-789SNZFCHipolytech-762Research ArticleЭНЕРГЕТИКАPOWER ENGINEERINGОбзор методов моделирования и управления киберфизическими системами в мультиэнергетических микросетяхReview of methods for modeling and control of cyber-physical systems in multi-energy microgridshttps://orcid.org/0000-0001-5898-9649ТоминН. В.TominN. V.

Томин Никита Викторович, к.т.н., заведующий лабораторией, Отдел электроэнергетических систем

664033, г. Иркутск, ул. Лермонтова, 130

Nikita V. Tomin, Cand. Sci. (Eng.), Head of Laboratory, Department of Electric Power Systems

130, Lermontov St., Irkutsk 664033

tomin.nv@gmail.comhttps://orcid.org/0000-0003-2770-2531ДомышевА. В.DomyshevA. V.

Домышев Александр Владимирович, к.т.н., научный сотрудник

664033, г. Иркутск, ул. Лермонтова, 130

Alexander V. Domyshev, Cand. Sci. (Eng.), Researcher, Department of Electric Power Systems

130, Lermontov St., Irkutsk 664033

domyshev@gmail.comhttps://orcid.org/0000-0002-6934-0025БарахтенкоЕ. А.BarakhtenkoE. A.

Барахтенко Евгений Алексеевич, к.т.н., доцент, старший научный сотрудник, Отдел трубопроводных систем энергетики

664033, г. Иркутск, ул. Лермонтова, 130

Evgeniy A. Barakhtenko, Cand. Sci. (Eng.), Associate Professor, Senior Researcher, Energy Pipeline Systems Department

130, Lermontov St., Irkutsk 664033

barakhtenko@isem.irk.ruhttps://orcid.org/0000-0001-8629-9549ШакировВ. А.ShakirovV. A.

Шакиров Владислав Альбертович, к.т.н., доцент, заведующий лабораторией, Отдел комплексных и региональных проблем энергетики

664033, г. Иркутск, ул. Лермонтова, 130

Vladislav A. Shakirov, Cand. Sci. (Eng.), Associate Professor, Head of Laboratory, Department of Complex and Regional Energy Problems

130, Lermontov St., Irkutsk 664033

mynovember@mail.ruhttps://orcid.org/0000-0002-5983-5884КозловА. Н.KozlovA. N.

Козлов Александр Николаевич, к.т.н., старший научный сотрудник, Отдел теплосиловых систем

664033, г. Иркутск, ул. Лермонтова, 130

Alexander N. Kozlov, Cand. Sci. (Eng.), Senior Researcher, Thermal Power Systems Department

130, Lermontov St., Irkutsk 664033

kozlov@isem.irk.ruСосновскийИ. К.SosnovskyI. K.

Сосновский Илья Константинович, аспират, инженер, Отдел теплосиловых систем

664033, г. Иркутск, ул. Лермонтова, 130

Ilya K. Sosnovsky, Postgraduate Student, Engineer, Thermal Power Systems Department

130, Lermontov St., Irkutsk 664033

sosnovskiy71@gmail.comhttps://orcid.org/0000-0003-0750-8344ЛюФангLiuFang

Лю Фанг, профессор

410017, Чанша, провинция Хунань

Fang Liu, Professor

Changsha Hunan 410017 China

csuliufang@csu.edu.cnhttps://orcid.org/0000-0002-3131-1325СидоровД. Н.SidorovD. N.

Сидоров Денис Николаевич, д-р ф.-м. наук, профессор РАН, главный научный сотрудник, Отдел прикладной математики

664033, г. Иркутск, ул. Лермонтова, 130

Denis N. Sidorov, Dr. Sci. (Phys.-Math.), Professor of the Russian Academy of Sciences, Chief Researcher, Applied Mathematics Department

 

contact.dns@gmail.comИнститут систем энергетики им. Л.А. Мелентьева СО РАНРоссияMelentiev Energy Systems Institute SB RASRussian FederationЦентральный южный университетКитайCentral South UniversityChina202310012024274773789Copyright © Томин Н.В., Домышев А.В., Барахтенко Е.А., Шакиров В.А., Козлов А.Н., Сосновский И.К., Лю Ф., Сидоров Д.Н., 20242024Томин Н.В., Домышев А.В., Барахтенко Е.А., Шакиров В.А., Козлов А.Н., Сосновский И.К., Лю Ф., Сидоров Д.Н.Tomin N.V., Domyshev A.V., Barakhtenko E.A., Shakirov V.A., Kozlov A.N., Sosnovsky I.K., Liu F., Sidorov D.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ipolytech.elpub.ru/jour/article/view/762

Цель – провести анализ развития методов моделирования и управления мультиэнергетическими микросетями с позиции использования киберфизических систем. Для проведения исследования были использованы методы литературного обзора и мета-анализа в области моделирования и управления киберфизическими системами в мультиэнергетичесских микросетях на основе опубликованных статей, входящих в международные базы данных Scopus, Web of Science, Elibrary, IEEEXplore и других источников информации. Проведенный анализ показывает, что текущее развитие киберфизических систем идет по пути внедрения концепции интеллектуальных электрических сетей. В данном исследовании резюмируется, что интерфейсы управления, каналы передачи данных и удаленные порты отладки являются уязвимыми частями устройств интернета вещей IoT, которые могут быть потенциально атакованы злоумышленниками. Проведенный анализ опубликованных работ в последние годы в рассматриваемом направлении указывает на то, что мультиагентные технологии представляются эффективным подходом не только для оперативного управления режимами мультиэнергетической микросети, но и для построения еe надeжной информационной сети на уровне систем среднего и низкого напряжений. Обзор информационных технологий в области систем распределeнной энергетики показывает, что чем больше добавляется возможностей по приему и обработке различного рода информации (данные по транзакциям, параметры режима, статус контролеров и т.п.) из внешних источников, тем более уязвима мультиэнергетическая микросеть к киберугрозам. Для эффективного решения задачи распределения нагрузки между различными энергоисточниками с минимизацией затрат необходимо использовать современные математические методы, такие как искусственный интеллект, динамическая оптимизация и мультиагентные подходы.

The article analyzes the development of methods for modeling and control of multi-energy microgrids through cyber-physical systems. We used the methods of literature review and meta-analysis based on publications from international databases Scopus and Web of Science, Russian database eLibrary, digital platform IEEEXplore et al. According to the analysis, Smart Grid implementation drives the development of cyber-physical systems. As summarized in this study, control interfaces, data transmission channels, and remote debugging ports are vulnerable parts of IoT devices that can possibly be attacked by intruders. A review of the recent publications in this field finds multi-agent technologies to be an effective approach not only for the operational control of multi-energy microgrid modes, but also for the construction of its reliable information network at the level of medium and low voltage systems. In the field of distributed energy systems, literature review of information technology indicates that the more capabilities are added to receive and process various kinds of information (transaction data, mode parameters, status of controllers, etc.) from external sources, the more vulnerable a multi-energy microgrid is to any cyber threats. Modern mathematical methods such as artificial intelligence, dynamic optimization, and multi-agent approaches should be used to effectively solve the problem of load distribution between different energy sources with cost minimization.

киберфизическая системамультиэнергетические микросетимоделирование и управлениеcyber-physical systemmulti-energy microgridsmodeling and controlИсследование выполнено в рамках гранта Министерства науки и высшего образования РФ (проект № 075-15-2022-1215) с использованием ресурсов ЦКП «Высокотемпературный контур» (проект № 13. ЦКП. 21.0038).The study is funded by the grant from the Ministry of Science and Higher Education of the Russian Federation (project No. 075-15-2022-1215) using the resources of the High Temperature Contour Resource Sharing Centre (project No. 13.RSC.21.0038).ReferencesBamberger Y., Baptista J., Belmans R., Buchholz B.M., Chebbo M., Del Valle J.L., et al. Vision and strategy for Europe’s electricity networks of the future // European technology platform Smart Grids. 2006. Р. 4–35.Bamberger Y., Baptista J., Belmans R., Buchholz B.M., Chebbo M., Del Valle J.L., et al. Vision and strategy for Europe’s electricity networks of the future. In: European technology platform Smart Grids. 2006, р. 4-35.Бухгольц Б.М., Стычински З.А. Smart grids – основы и технологии энергосистем будущего / пер. с англ. Ю.В. Шарова, П.Ю. Коваленко, К.А. Осинцева; под общ. ред. Н.И. Воропая. М.: МЭИ, 2017. 461 с.Buhholz B.M., Styczynski Z.A. Smart Grids. Fundamentals and technologies in electric power systems of the future, 2017, 461 р. (Russ. ed.: Smart grids – osnovy i tekhnologii energosistem budushchego. Moscow: Moscow Power Engineering Institute: 2017, 461 р.)Zuo Hongyan, Zhang Bin, Huang Zhonghua, Wei Kexiang, Zhu Hong, Tan Jiqiu. Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation // Energy. 2022. Vol. 238. Part B. Р. 121854. https://doi.org/10.1016/j.energy.2021.121854.Zuo Hongyan, Zhang Bin, Huang Zhonghua, Wei Kexiang, Zhu Hong, Tan Jiqiu. Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation. Energy. 2022;238(B):121854. https://doi.org/10.1016/j.energy.2021.121854.Zhao Xiaohuan, E Jiaqiang, Wu Gang, Deng Yuanwang, Han Dandan, Zhang Bin, et al. A review of studies using graphenes in energy conversion, energy storage and heat transfer development // Energy Conversion and Management. 2019. Vol. 184. Р. 581–599. https://doi.org/10.1016/j.enconman.2019.01.092.Zhao Xiaohuan, E Jiaqiang, Wu Gang, Deng Yuanwang, Han Dandan, Zhang Bin, et al. A review of studies using graphenes in energy conversion, energy storage and heat transfer development. Energy Conversion and Management. 2019;184:581-599. https://doi.org/10.1016/j.enconman.2019.01.092.Mirzaei M.A., Sadeghi-Yazdankhah A., Mohammadi-Ivatloo B., Marzband M., Shafie-khah M., Catalão J.P.S. Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products // Energy. 2019. Vol. 189. Р. 116195. https://doi.org/10.1016/j.energy.2019.116195.Mirzaei M.A., Sadeghi-Yazdankhah A., Mohammadi-Ivatloo B., Marzband M., Shafie-khah M., Catalão J.P.S. Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products. Energy. 2019;189:116195. https://doi.org/10.1016/j.energy.2019.116195.Karimi H., Jadid S. Optimal energy management for multi-microgrid considering demand response programs: а stochastic multi-objective framework // Energy. 2020. Vol. 195. Iss. С. Р. 116992. https://doi.org/10.1016/j.energy.2020.116992.Karimi H., Jadid S. Optimal energy management for multi-microgrid considering demand response programs: а stochastic multi-objective framework. Energy. 2020;195(С):116992. https://doi.org/10.1016/j.energy.2020.116992.Bullich-Massagué E., Díaz-González F., Aragüés-Peñalba M., Girbau-Llistuella F., Olivella-Rosell P., Sumper A. Microgrid clustering architectures // Applied Energy. 2018. Vol. 212. Р. 340–361. https://doi.org/10.1016/j.apenergy.2017.12.048.Bullich-Massagué E., Díaz-González F., Aragüés-Peñalba M., Girbau-Llistuella F., Olivella-Rosell P., Sumper A. Microgrid clustering architectures. Applied Energy. 2018;212:340-361. https://doi.org/10.1016/j.apenergy.2017.12.048.Sadeghi D., Naghshbandy A.H., Bahramara S. Optimal sizing of hybrid renewable energy systems in presence of electric vehicles using multi-objective particle swarm optimization // Energy. 2020. Vol. 209. Р. 118471. https://doi.org/10.1016/j.energy.2020.118471.Sadeghi D., Naghshbandy A.H., Bahramara S. Optimal sizing of hybrid renewable energy systems in presence of electric vehicles using multi-objective particle swarm optimization. Energy. 2020;209:118471. https://doi.org/10.1016/j.energy.2020.118471.Su Wencong, Wang Jianhui. Energy management systems in microgrid operations // The Electricity Journal. 2012. Vol. 25. Iss. 8. Р. 45–60. https://doi.org/10.1016/j.tej.2012.09.010.Su Wencong, Wang Jianhui. Energy management systems in microgrid operations. The Electricity Journal. 2012;25(8): 45-60. https://doi.org/10.1016/j.tej.2012.09.010.Khan M.W., Wang Jie, Xiong Linyun. Optimal energy scheduling strategy for multi-energy generation grid using multi-agent systems // International Journal of Electrical Power & Energy Systems. 2021. Vol. 124. Р. 106400. https://doi.org/10.1016/j.ijepes.2020.106400.Khan M.W., Wang Jie, Xiong Linyun. Optimal energy scheduling strategy for multi-energy generation grid using multiagent systems. International Journal of Electrical Power & Energy Systems. 2021;124:106400. https://doi.org/10.1016/j.ijepes.2020.106400.Xu Da, Zhou Bin, Liu Nian, Wu Qiuwei, Voropai N., Li Canbing, et al. Peer-to-peer multienergy and communication resource trading for interconnected microgrids // IEEE Transactions on Industrial Informatics. 2021. Vol. 17. Iss. 4. P. 2522–2533. https://doi.org/10.1109/TII.2020.3000906.Xu Da, Zhou Bin, Liu Nian, Wu Qiuwei, Voropai N., Li Canbing, et al. Peer-to-peer multienergy and communication resource trading for interconnected microgrids. IEEE Transactions on Industrial Informatics. 2021;17(4):2522-2533. https://doi.org/10.1109/TII.2020.3000906.Tomin N., Shakirov, V. Kurbatsky V., Muzychuk R., Popova E., Sidorov D., et al. A multi-criteria approach to designing and managing a renewable energy community // Renewable Energy. 2022. Vol. 199. Р. 1153–1175. https://doi.org/10.1016/j.renene.2022.08.151.Tomin N., Shakirov, V. Kurbatsky V., Muzychuk R., Popova E., Sidorov D, et al. A multi-criteria approach to designing and managing a renewable energy community // Renewable Energy. 2022. Vol. 199. Р. 1153–1175. https://doi.org/10.1016/j.renene.2022.08.151.Стычински З.А., Воропай Н.И. Возобновляемые источники энергии: теоретические основы, технологии, технические характеристики, экономика. Magdeburg: Магдебургский университет имени Отто-фон-Герике, 2010. 209 с.Styczynski Z.A., Voropai N.I. Renewable energy sources: theoretical foundations, technologies, technical characteristics, economics. Magdeburg: Otto-von- Guericke-Universität Magdeburg; 2010, 209 р. (In Russ.).Fernandez L.P., Roman T.G.S., Cossent R., Domingo C.M., Frías P. Assessment of the impact of plug-in electric vehicles on distribution networks // IEEE transactions on power systems. 2011. Vol. 26. Iss. 1. Р. 206–213. https://doi.org/10.1109/TPWRS.2010.2049133.Fernandez L.P., Roman T.G.S., Cossent R., Domingo C.M., Frías P. Assessment of the impact of plug-in electric vehicles on distribution networks. IEEE transactions on power systems. 2011;26(1):206-213. https://doi.org/10.1109/TPWRS.2010.2049133.Valsera-Naranjo E., Martinez-Vicente D., Sumper A., Villafafila-Robles R. Deterministic and probabilistic assessment of the impact of the electrical vehicles on the power grid // IEEE Power and Energy Society General Meeting. 2011. https://doi.org/10.1109/PES.2011.6039546.Valsera-Naranjo E., Martinez-Vicente D., Sumper A., Villafafila-Robles R. Deterministic and probabilistic assessment of the impact of the electrical vehicles on the power grid. In: IEEE Power and Energy Society General Meeting. 2011. https://doi.org/10.1109/PES.2011.6039546.Papadopoulos P., Skarvelis-Kazakos S., Unda I.G., Cipcigan L. Electric vehicles' impact on British distribution networks // IET Electrical Systems in Transportation. 2012. Vol. 2. Iss. 3. Р. 91–102. https://doi.org/10.1049/iet-est.2011.0023.Papadopoulos P., Skarvelis-Kazakos S., Unda I.G., Cipcigan L. Electric vehicles' impact on British distribution networks. IET Electrical Systems in Transportation. 2012;2(3):91-102. https://doi.org/10.1049/iet-est.2011.0023.Vlachogiannis J.G. Probabilistic constrained load flow considering integration of wind power generation and electric vehicles // IEEE Transactions on Power Systems. 2009. Vol. 24. Iss. 4. Р. 1808–1817.Vlachogiannis J.G. Probabilistic constrained load flow considering integration of wind power generation and electric vehicles. IEEE Transactions on Power Systems. 2009;24(4):1808-1817.Duan Min, Darvishan A., Mohammaditab R., Wakil K., Abedinia O. A novel hybrid prediction model for aggregated loads of buildings by considering the electric vehicles // Sustainable Cities and Society. 2018. Vol. 41. С. 205–219. https://doi.org/10.1016/j.scs.2018.05.009.Duan Min, Darvishan A., Mohammaditab R., Wakil K., Abedinia O. A novel hybrid prediction model for aggregated loads of buildings by considering the electric vehicles. Sustainable Cities and Society. 2018;41:205-219. https://doi.org/10.1016/j.scs.2018.05.009.Faridimehr S., Venkatachalam S., Chinnam R.B. A stochastic programming approach for electric vehicle charging network design // IEEE Transactions on Intelligent Transportation Systems. 2018. Vol. 20. Iss. 5. Р. 1870–1882. https://doi.org/10.1109/TITS.2018.2841391.Faridimehr S., Venkatachalam S., Chinnam R.B. A stochastic programming approach for electric vehicle charging network design. IEEE Transactions on Intelligent Transportation Systems. 2018;20(5):1870-1882. https://doi.org/10.1109/ TITS.2018.2841391.Morshed M.J., Hmida J.B., Fekih A. A probabilistic multi-objective approach for power flow optimization in hybrid windPV-PEV systems // Applied Energy. 2018. Vol. 211. Р. 1136–1149. https://doi.org/10.1016/j.apenergy.2017.11.101.Morshed M.J., Hmida J.B., Fekih A. A probabilistic multi-objective approach for power flow optimization in hybrid windPV-PEV systems. Applied Energy. 2018;211:1136-1149. https://doi.org/10.1016/j.apenergy.2017.11.101.Zhao L., Prousch S., Hübner M., Moser A. Simulation methods for assessing electric vehicle impact on distribution grids // IEEE PES T&D 2010. 2010. https://doi.org/10.1109/TDC.2010.5484386.Zhao L., Prousch S., Hübner M., Moser A. Simulation methods for assessing electric vehicle impact on distribution grids. In: IEEE PES T&D 2010. 2010. https://doi.org/10.1109/TDC.2010.5484386.Lopes J.A.P., Soares F.J., Almeida P.M.R. Integration of electric vehicles in the electric power system // Proceedings of the IEEE. 2011. Vol. 99. Iss. 1. С. 168–183. https://doi.org/10.1109/JPROC.2010.2066250.Lopes J.A.P., Soares F.J., Almeida P.M.R. Integration of electric vehicles in the electric power system. Proceedings of the IEEE. 2011;99(1):168-183. https://doi.org/10.1109/JPROC.2010.2066250.Almoghathawi Ya., Barker K. Component importance measures for interdependent infrastructure network resilience // Computers & Industrial Engineering. 2019. Vol. 133. P. 153–164. https://doi.org/10.1016/j.cie.2019.05.001.Almoghathawi Ya., Barker K. Component importance measures for interdependent infrastructure network resilience. Computers & Industrial Engineering. 2019;133:153-164. https://doi.org/10.1016/j.cie.2019.05.001.Hu Junjie, Morais Hugo, Sousa Tiago, Lind Morten. Electric vehicle fleet management in smart grids: a review of services, optimization and control aspects // Renewable and Sustainable Energy Reviews. 2016. Vol. 56. Р. 1207–1226. https://doi.org/10.1016/j.rser.2015.12.014.Hu Junjie, Morais Hugo, Sousa Tiago, Lind Morten. Electric vehicle fleet management in smart grids: a review of services, optimization and control aspects. Renewable and Sustainable Energy Reviews. 2016;56:1207-1226. https://doi.org/10.1016/j.rser.2015.12.014.Mwasilu F., Justo J.J., Kim Eun-Kyung, Do Ton Duc. Electric vehicles and smart grid interaction: а review on vehicle to grid and renewable energy sources integration // Renewable and sustainable energy reviews. 2014. Vol. 34. P. 501–516. https://doi.org/10.1016/j.rser.2014.03.031.Mwasilu F., Justo J.J., Kim Eun-Kyung, Do Ton Duc. Electric vehicles and smart grid interaction: а review on vehicle to grid and renewable energy sources integration. Renewable and sustainable energy reviews. 2014;34:501-516. https://doi.org/10.1016/j.rser.2014.03.031.Tan Kang Miao, Ramachandaramurthy V.K., Yong Jia Ying. Integration of electric vehicles in smart grid: а review on vehicle to grid technologies and optimization techniques // Renewable and Sustainable Energy Reviews. 2016. Vol. 53. P. 720–732. https://doi.org/10.1016/j.rser.2015.09.012.Tan Kang Miao, Ramachandaramurthy V.K., Yong Jia Ying. Integration of electric vehicles in smart grid: а review on vehicle to grid technologies and optimization techniques. Renewable and Sustainable Energy Reviews. 2016;53:720-732. https://doi.org/10.1016/j.rser.2015.09.012.Sortomme E., El-Sharkawi M.A. Optimal scheduling of vehicle-to-grid energy and ancillary services // IEEE Transactions on Smart Grid. 2012. Vol. 3. Iss. 1. P. 351–359.Sortomme E., El-Sharkawi M.A. Optimal scheduling of vehicle-to-grid energy and ancillary services. IEEE Transactions on Smart Grid. 2012;3(1):351-359.Xu Xiandong, Jia Hongjie, Wang Dan, Yu David C., Chiang Hsiao-Dong. Hierarchical energy management system for multi-source multi-product microgrids // Renewable Energy. 2015. Vol. 78. P. 621–630. https://doi.org/10.1016/j.renene.2015.01.039.Xu Xiandong, Jia Hongjie, Wang Dan, Yu David C., Chiang Hsiao-Dong. Hierarchical energy management system for multi-source multi-product microgrids. Renewable Energy. 2015;78:621-630. https://doi.org/10.1016/j.renene.2015.01.039.Xu Xiandong, Jin Xiaolong, Jia Hongjie, Yu Xiaodan, Li Kang. Hierarchical management for integrated community energy systems // Applied Energy. 2015. Vol. 160. P. 231–243. https://doi.org/10.1016/j.apenergy.2015.08.134.Xu Xiandong, Jin Xiaolong, Jia Hongjie, Yu Xiaodan, Li Kang. Hierarchical management for integrated community energy systems. Applied Energy. 2015;160:231-243. https://doi.org/10.1016/j.apenergy.2015.08.134.Ramírez-Elizondo L.M., Paap G.C. Scheduling and control framework for distribution level systems containing multiple energy carrier systems: Theoretical approach and illustrative example // International Journal of Electrical Power & Energy Systems. 2015. Vol. 66. P. 194–215. https://doi.org/10.1016/j.ijepes.2014.10.045.Ramírez-Elizondo L.M., Paap G.C. Scheduling and control framework for distribution level systems containing multiple energy carrier systems: Theoretical approach and illustrative example. International Journal of Electrical Power & Energy Systems. 2015;66:194-215. https://doi.org/10.1016/j.ijepes.2014.10.045.Liu Jinglu, Wang Anna, Wang Xingyu, Tao Ran. Coupled distributed control scheme for multi-energy systems with transmission losses based on event-triggered communication // Journal of Renewable and Sustainable Energy. 2020. Vol. 12. P. 055302. https://doi.org/https://doi.org/10.1063/5.0024714.Liu Jinglu, Wang Anna, Wang Xingyu, Tao Ran. Coupled distributed control scheme for multi-energy systems with transmission losses based on event-triggered communication. Journal of Renewable and Sustainable Energy. 2020;12:055302. https://doi.org/https://doi.org/10.1063/5.0024714.Arnold M., Negenborn R.R., Andersson G., De Schutter B. Distributed predictive control for energy hub coordination in coupled electricity and gas networks // Intelligent Infrastructures. Dordrecht: Springer, 2010. Vol. 42. Р. 235–273. https://doi.org/10.1007/978-90-481-3598-1_10.Arnold M., Negenborn R.R., Andersson G., De Schutter B. Distributed predictive control for energy hub coordination in coupled electricity and gas networks. In: Intelligent Infrastructures. Dordrecht: Springer; 2010, vol. 42, р. 235-273. https://doi.org/10.1007/978-90-481-3598-1_10.Skarvelis-Kazakos S., Papadopoulos P., Unda I.G., Gorman T., Belaidi A., Zigan S. Multiple energy carrier optimisation with intelligent agents // Applied Energy. 2016. Vol. 167. P. 323–335. https://doi.org/10.1016/j.apenergy.2015.10.130.Skarvelis-Kazakos S., Papadopoulos P., Unda I.G., Gorman T., Belaidi A., Zigan S. Multiple energy carrier optimisation with intelligent agents. Applied Energy. 2016;167:323-335. https://doi.org/10.1016/j.apenergy.2015.10.130.Gomes L., Vale Z., Corchado J.M. Microgrid management system based on a multi-agent approach: аn office building pilot // Measurement. 2020. Vol. 154. 107427. https://doi.org/10.1016/j.measurement.2019.107427.Gomes L., Vale Z., Corchado J.M. Microgrid management system based on a multi-agent approach: аn office building pilot. Measurement. 2020;154:107427. https://doi.org/10.1016/j.measurement.2019.107427.Anvari-Moghaddam A., Rahimi-Kian A., Mirian M.S., Guerrero J.M. A multi-agent based energy management solution for integrated buildings and microgrid system // Applied Energy. 2017. Vol. 203. Р. 41–56. https://doi.org/10.1016/j.apenergy.2017.06.007.Anvari-Moghaddam A., Rahimi-Kian A., Mirian M.S., Guerrero J.M. A multi-agent based energy management solution for integrated buildings and microgrid system. Applied Energy. 2017;203:41-56. https://doi.org/10.1016/j.apenergy.2017.06.007.Wang Lingfeng, Wang Zhu, Yang Rui. Intelligent multiagent control system for energy and comfort management in smart and sustainable buildings // IEEE Transactions on Smart Grid. 2012. Vol. 3. Iss. 2. Р. 605–617. https://doi.org/10.1109/TSG.2011.2178044.Wang Lingfeng, Wang Zhu, Yang Rui. Intelligent multiagent control system for energy and comfort management in smart and sustainable buildings. IEEE Transactions on Smart Grid. 2012;3(2):605-617. https://doi.org/10.1109/TSG.2011.2178044.Poulin C., Kane M.B. Infrastructure resilience curves: рerformance measures and summary metrics // Reliability Engineering & System Safety. 2021. Vol. 216. Р. 107926. https://doi.org/10.1016/j.ress.2021.107926.Poulin C., Kane M.B. Infrastructure resilience curves: рerformance measures and summary metrics. Reliability Engineering & System Safety. 2021;216:107926. https://doi.org/10.1016/j.ress.2021.107926.Khan M.W., Wang Jie, Xiong Linyun, Ma Meiling. Modelling and optimal management of distributed mi-crogrid using multiagent systems // Sustainable Cities and Society. 2018. Vol. 41. Р. 154–169. https://doi.org/10.1016/j.scs.2018.05.018.Khan M.W., Wang Jie, Xiong Linyun, Ma Meiling. Modelling and optimal management of distributed microgrid using multiagent systems. Sustainable Cities and Society. 2018;41:154-169. https://doi.org/10.1016/j.scs.2018.05.018.Bünning F., Wetter M., Fuchs M., Müller D. Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization // Applied Energy. 2018. Vol. 209. Р. 502–515. https://doi.org/10.1016/j.apenergy.2017.10.072.Bünning F., Wetter M., Fuchs M., Müller D. Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization. Applied Energy. 2018;209:502-515. https://doi.org/10.1016/j.apenergy.2017.10.072.Ren Yi, Fan Dongming, Feng Qiang, Wang Zili, Sun Bo, Yang Dezhen. Agent-based restoration approach for reliability with load balancing on smart grids // Applied Energy. 2019. Vol. 249. Р. 46–57. https://doi.org/10.1016/j.apenergy.2019.04.119.Ren Yi, Fan Dongming, Feng Qiang, Wang Zili, Sun Bo, Yang Dezhen. Agent-based restoration approach for reliability with load balancing on smart grids. Applied Energy. 2019;249:46-57. https://doi.org/10.1016/j.apenergy.2019.04.119.Ahčin P., Šikić M. Simulating demand response and energy storage in energy distribution systems // International Conference on Power System Technology. 2010. https://doi.org/10.1109/POWERCON.2010.5666564.Ahčin P., Šikić M. Simulating demand response and energy storage in energy distribution systems. In: International Conference on Power System Technology. 2010. https://doi.org/10.1109/POWERCON.2010.5666564.Sharma P., Mathur H.D., Mishra P., Bansal R.C. A critical and comparative review of energy management strategies for microgrids // Applied Energy. 2022. Vol. 327. Р. 120028. https://doi.org/10.1016/j.apenergy.2022.120028.Sharma P., Mathur H.D., Mishra P., Bansal R.C. A critical and comparative review of energy management strategies for microgrids. Applied Energy. 2022;327:120028. https://doi.org/10.1016/j.apenergy.2022.120028.Salehi N., Martínez-García H., Velasco-Quesada G., Guerrer J.M. A comprehensive review of control strategies and optimization methods for individual and community microgrids // IEEE Access. 2022. Vol. 10. Р. 15935–15955. https://doi.org/10.1109/ACCESS.2022.3142810.Salehi N., Martínez-García H., Velasco-Quesada G., Guerrer J.M. A comprehensive review of control strategies and optimization methods for individual and community microgrids. IEEE Access. 2022;10:15935-15955. https://doi.org/10.1109/ACCESS.2022.3142810.Shulyma O., Davidsson P., Shendryk V., Marchenko A. The architecture of an information system for the management of hybrid energy grids // Position Papers of the Federated Conference on Computer Science and Information Systems. 2015. Vol. 6. Р. 281–288. https://doi.org/10.15439/2015F402.Shulyma O., Davidsson P., Shendryk V., Marchenko A. The architecture of an information system for the management of hybrid energy grids. In: Position Papers of the Federated Conference on Computer Science and Information Systems. 2015;6:281-288. https://doi.org/10.15439/2015F402.Lawrence T.M., Watson R.T., Boudreau M.-С., Mohammadpour J. Data flow requirements for integrating smart buildings and a smart grid through model predictive control // Procedia Engineering. 2017. Vol. 180. Р. 1402–1412. https://doi.org/10.1016/j.proeng.2017.04.303.Lawrence T.M., Watson R.T., Boudreau M.-С., Mohammadpour J. Data flow requirements for integrating smart buildings and a smart grid through model predictive control. Procedia Engineering. 2017;180:1402-1412. https://doi.org/10.1016/j.proeng.2017.04.303.Zia M.F., Elbouchikhi E., Benbouzid M. Microgrids energy management systems: а critical review on methods, solutions, and prospects // Applied Energy. 2018. Vol. 222. P. 1033–1055. https://doi.org/10.1016/j.apenergy.2018.04.103.Zia M.F., Elbouchikhi E., Benbouzid M. Microgrids energy management systems: а critical review on methods, solutions, and prospects. Applied Energy. 2018;222:1033-1055. https://doi.org/10.1016/j.apenergy.2018.04.103.Fontenot H., Dong Bing. Modeling and control of building-integrated microgrids for optimal energy management – a review // Applied Energy. 2019. Vol. 254. Р. 113689. https://doi.org/10.1016/j.apenergy.2019.113689.Fontenot H., Dong Bing. Modeling and control of building-integrated microgrids for optimal energy management – a review. Applied Energy. 2019;254:113689. https://doi.org/10.1016/j.apenergy.2019.113689.Qahmash A., Algarni A., Hussain M.R. A comprehensive review on integration challenges, optimization techniques and control strategies of hybrid AC/DC Microgrid // Applied Sciences. 2021. Vol. 11. Iss. 14. P. 6242. https://doi.org/10.3390/app11146242.Qahmash A., Algarni A., Hussain M.R. A comprehensive review on integration challenges, optimization techniques and control strategies of hybrid AC/DC Microgrid. Applied Sciences. 2021;11(14):6242. https://doi.org/10.3390/app11146242.Stennikov V., Barakhtenko E., Mayorov G., Sokolov D., Zhou Bin. Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach // Applied Energy. 2022. Vol. 309. Р. 118487. https://doi.org/10.1016/j.apenergy.2021.118487.Stennikov V., Barakhtenko E., Mayorov G., Sokolov D., Zhou Bin. Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach. Applied Energy. 2022;309:118487. https://doi.org/10.1016/j.apenergy.2021.118487.Bhargavi K.M., Jayalakshmi N.S., Gaonkar D.N., Ashish S. A comprehensive review on control techniques for power management of isolated DC microgrid system operation // IEEE Access. 2021. Vol. 9. Р. 32196–32228. https://doi.org/10.1109/ACCESS.2021.3060504.Bhargavi K.M., Jayalakshmi N.S., Gaonkar D.N., Ashish S. A comprehensive review on control techniques for power management of isolated DC microgrid system operation. IEEE Access. 2021;9:32196-32228. https://doi.org/10.1109/ACCESS.2021.3060504.Panaparambil V.S., Kashyap Y., Castelino R.V. A review on hybrid source energy management strategies for electric vehicle // International Journal of Energy Research. 2021. Vol. 45. Iss. 14. Р. 19819–19850. https://doi.org/https://doi.org/10.1002/er.7107.Panaparambil V.S., Kashyap Y., Castelino R.V. A review on hybrid source energy management strategies for electric vehicle. International Journal of Energy Research. 2021;45(14):19819-19850. https://doi.org/https://doi.org/10.1002/er.7107.Ma Guolong, Li Jianing, Zhang Xiao-Ping. A review on optimal energy management of multimicrogrid system considering uncertainties // IEEE Access. 2022. Vol. 10. Р. 77081–77098. https://doi.org/10.1109/ACCESS.2022.3192638.Ma Guolong, Li Jianing, Zhang Xiao-Ping. A review on optimal energy management of multimicrogrid system considering uncertainties. IEEE Access. 2022;10:77081-77098. https://doi.org/10.1109/ACCESS.2022.3192638.Yu Rong, Ding Jiefei, Maharjan S., Gjessing S., Zhang Yan, Tsang Danny H.K. Decentralized and optimal resource cooperation in geo-distributed mobile cloud computing // IEEE Transactions on Emerging Topics in Computing. 2018. Vol. 6. Iss. 1. P. 72–84. https://doi.org/10.1109/TETC.2015.2479093.Yu Rong, Ding Jiefei, Maharjan S., Gjessing S., Zhang Yan, Tsang Danny H.K. Decentralized and optimal resource cooperation in geo-distributed mobile cloud computing. IEEE Transactions on Emerging Topics in Computing. 2018;6(1):72-84. https://doi.org/10.1109/TETC.2015.2479093.Ahvar E., Orgerie A.-С., Lébre A. Estimating energy consumption of cloud, fog and edge computing infrastructures // IEEE Transactions on Sustainable Computing. 2019. Vol. 7. Iss. 2. Р. 277–288. https://doi.org/10.1109/TSUSC.2019.2905900.Ahvar E., Orgerie A.-С., Lébre A. Estimating energy consumption of cloud, fog and edge computing infrastructures. IEEE Transactions on Sustainable Computing. 2019;7(2):277-288. https://doi.org/10.1109/TSUSC.2019.2905900.Mishra S., Anderson K., Miller B., Boyer K., Warren A. Microgrid resilience: а holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies // Applied Energy. 2020. Vol. 264. Р. 114726. https://doi.org/10.1016/j.apenergy.2020.114726.Mishra S., Anderson K., Miller B., Boyer K., Warren A. Microgrid resilience: а holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies. Applied Energy. 2020;264:114726. https://doi.org/10.1016/j.apenergy.2020.114726.Lu Yang, Xu Li Da. Internet of things (IoT) cybersecurity research: a review of current research topics // IEEE Internet of Things Journal. 2019. Vol. 6. Iss. 2. P. 2103–2115. https://doi.org/10.1109/JIOT.2018.2869847.Lu Yang, Xu Li Da. Internet of things (IoT) cybersecurity research: a review of current research topics. IEEE Internet of Things Journal. 2019;6(2):2103-2115. https://doi.org/10.1109/JIOT.2018.2869847.Atzori L., Iera A., Morabito G. The internet of things: a survey // Computer Networks. 2010. Vol. 54. Iss. 15. P. 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010.Atzori L., Iera A., Morabito G. The internet of things: a survey. Computer Networks. 2010;54(15):2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010.Roman R., Zhou Jianying, Lopez J. On the features and challenges of security and privacy in distributed internet of things // Computer Networks. 2013. Vol. 57. Iss. 10. Р. 2266–2279. https://doi.org/10.1016/j.comnet.2012.12.018.Roman R., Zhou Jianying, Lopez J. On the features and challenges of security and privacy in distributed internet of things. Computer Networks. 2013;57(10):2266-2279. https://doi.org/10.1016/j.comnet.2012.12.018.Nejabatkhah F., Li Yun Wei, Liang Hao, Ahrabi R.R. Cyber-security of smart microgrids: a survey // Energies. 2020. Vol. 14. Iss. 1. Р. 27. https://doi.org/10.3390/en14010027.Nejabatkhah F., Li Yun Wei, Liang Hao, Ahrabi R.R. Cyber-security of smart microgrids: a survey. Energies. 2020;14(1):27. https://doi.org/10.3390/en14010027.Zhao Chengcheng, He Jianping, Cheng Peng, Chen Jiming. Analysis of consensus-based distributed economic dispatch under stealthy attacks // Transactions on Industrial Electronics. 2017. Vol. 64. Iss. 6. P. 5107–5117. https://doi.org/10.1109/TIE.2016.2638400.Zhao Chengcheng, He Jianping, Cheng Peng, Chen Jiming. Analysis of consensus-based distributed economic dispatch under stealthy attacks. Transactions on Industrial Electronics. 2017;64(6):5107-5117. https://doi.org/10.1109/TIE.2016.2638400.Li Peikai, Liu Yun, Xin Huanhai, Jiang Xichen. A robust distributed economic dispatch strategy of virtual power plant under cyber-attacks // IEEE Transactions on Industrial Informatics. 2018. Vol. 14. Iss. 10. P. 4343–4352. https://doi.org/10.1109/TII.2017.2788868.Li Peikai, Liu Yun, Xin Huanhai, Jiang Xichen. A robust distributed economic dispatch strategy of virtual power plant under cyber-attacks. IEEE Transactions on Industrial Informatics. 2018;14(10):4343-4352. https://doi.org/10.1109/TII.2017.2788868.Kosut O., Jia Liyan, Thomas R.J., Tong Lang. Malicious data attacks on the smart grid // IEEE Transactions on Smart Grid. 2011. Vol. 2. Iss. 4. P. 645–658. https://doi.org/10.1109/TSG.2011.2163807.Kosut O., Jia Liyan, Thomas R.J., Tong Lang. Malicious data attacks on the smart grid. IEEE Transactions on Smart Grid. 2011;2(4):645-658. https://doi.org/10.1109/TSG.2011.2163807.Xie Le, Mo Yilin, Sinopoli Bruno. Integrity data attacks in power market operations // IEEE Transactions on Smart Grid. 2011. Vol. 2. Iss. 4. Р. 659–666. https://doi.org/10.1109/TSG.2011.2161892.Xie Le, Mo Yilin, Sinopoli Bruno. Integrity data attacks in power market operations. IEEE Transactions on Smart Grid. 2011;2(4):659-666. https://doi.org/10.1109/TSG.2011.2161892.Estay D.A.S., Sahay R., Barfod M.B., Jensen C.D. A systematic review of cyber-resilience assessment frameworks // Computers & Security. 2020. Vol. 97. Р. 101996. https://doi.org/10.1016/j.cose.2020.101996.Estay D.A.S., Sahay R., Barfod M.B., Jensen C.D. A systematic review of cyber-resilience assessment frameworks. Computers & Security. 2020;97:101996. https://doi.org/10.1016/j.cose.2020.101996.Tang Sirui, Liu Zhaoxi, Wang Lingfeng. Power system reliability analysis considering external and insider attacks on the SCADA system // IEEE/PES Transmission and Distribution Conference and Exposition. 2020. https://doi.org/10.1109/TD39804.2020.9299922.Tang Sirui, Liu Zhaoxi, Wang Lingfeng. Power system reliability analysis considering external and insider attacks on the SCADA system. IEEE/PES Transmission and Distribution Conference and Exposition. 2020. https://doi.org/10.1109/TD39804.2020.9299922.Chen Bo, Wang Jianhui, Shahidehpour M. Cyber–physical perspective on smart grid design and operation // IET Cyber-Physical Systems: Theory & Applications. 2018. Vol. 3. P. 129–141. https://doi.org/10.1049/iet-cps.2017.0143.Chen Bo, Wang Jianhui, Shahidehpour M. Cyber-physical perspective on smart grid design and operation. IET CyberPhysical Systems: Theory & Applications. 2018;3:129-141. https://doi.org/10.1049/iet-cps.2017.0143.Xie Le, Mo Yilin, Sinopoli B. False data injection attacks in electricity markets // First IEEE International Conference on Smart Grid Communications. 2010. https://doi.org/10.1109/SMARTGRID.2010.5622048.Xie Le, Mo Yilin, Sinopoli B. False data injection attacks in electricity markets. First IEEE International Conference on Smart Grid Communications. 2010. https://doi.org/10.1109/SMARTGRID.2010.5622048.Jia Liyan, Thomas R.J., Tong Lang. Impacts of malicious data on real-time price of electricity market operations // Proceedings of the IEEE Hawaii International Conference on System Sciences (Maui, HI, 4–7 January 2012). Maui, HI: IEEE, Р. 1907–1914. https://doi.org/10.1109/HICSS.2012.313.Jia Liyan, Thomas R.J., Tong Lang. Impacts of malicious data on real-time price of electricity market operations. In: Proceedings of the IEEE Hawaii International Conference on System Sciences. 4–7 January 2012, Maui, HI. Maui, HI: IEEE; р. 1907-1914. https://doi.org/10.1109/HICSS.2012.313.Deng Chao, Wang Yu, Wen Changyun, Xu Yan, Lin Pengfeng. Distributed resilient control for energy storage systems in cyber–physical microgrids // IEEE Transactions on Industrial Informatics. 2021. Vol. 17. Iss. 2. Р. 1331–1341. https://doi.org/10.1109/TII.2020.2981549.Deng Chao, Wang Yu, Wen Changyun, Xu Yan, Lin Pengfeng. Distributed resilient control for energy storage systems in cyber–physical microgrids. IEEE Transactions on Industrial Informatics. 2021;17(2):1331-1341. https://doi.org/10.1109/TII.2020.2981549.Sahoo S., Dragičević T., Blaabjerg F. Cyber security in control of grid-tied power electronic converters–challenges and vulnerabilities // IEEE Journal of Emerging and Selected Topics in Power Electronics. 2019. Vol. 9. Iss. 5. Р. 5326–5340. https://doi.org/10.1109/JESTPE.2019.2953480.Sahoo S., Dragičević T., Blaabjerg F. Cyber security in control of grid-tied power electronic converters–challenges and vulnerabilities. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2019;9(5):5326-5340. https://doi.org/10.1109/JESTPE.2019.2953480.Beg O.A., Johnson T.T., Davoudi A. Detection of false-data injection attacks in cyber-physical DC microgrids // IEEE Transactions on Industrial Informatics. 2017. Vol. 13. Iss. 5. P. 2693–2703. https://doi.org/10.1109/TII.2017.2656905.Beg O.A., Johnson T.T., Davoudi A. Detection of false-data injection attacks in cyber-physical DC microgrids. IEEE Transactions on Industrial Informatics. 2017;13(5):2693-2703. https://doi.org/10.1109/TII.2017.2656905.Arghandeh R., Meier A., Mehrmanesh L., Mili L. On the definition of cyber-physical resilience in power systems // Renewable and Sustainable Energy Reviews. 2016. Vol. 58. P. 1060–1069. https://doi.org/10.1016/j.rser.2015.12.193.Arghandeh R., Meier A., Mehrmanesh L., Mili L. On the definition of cyber-physical resilience in power systems. Renewable and Sustainable Energy Reviews. 2016;58:1060-1069. https://doi.org/10.1016/j.rser.2015.12.193.Lu Lin-Yu, Liu Hao Jan, Zhu Hao, Chu Chia-Chi. Intrusion detection in distributed frequency control of isolated microgrids // IEEE Transactions on Smart Grid. 2019. Vol. 10. Iss. 6. P. 6502–6515. https://doi.org/10.1109/TSG.2019.2906573.Lu Lin-Yu, Liu Hao Jan, Zhu Hao, Chu Chia-Chi. Intrusion detection in distributed frequency control of isolated microgrids. IEEE Transactions on Smart Grid. 2019;10(6):6502-6515. https://doi.org/10.1109/TSG.2019.2906573.Sahoo S., Mishra S., Peng Jimmy Chih-Hsien, Dragicevic T. A stealth cyber-attack detection strategy for DC microgrids // IEEE Transactions on Power Electronics. 2018. Vol. 34. Iss. 8. P. 8162–8174. https://doi.org/10.1109/TPEL.2018.2879886.Sahoo S., Mishra S., Peng Jimmy Chih-Hsien, Dragicevic T. A stealth cyber-attack detection strategy for DC microgrids. IEEE Transactions on Power Electronics. 2018;34(8):8162-8174. https://doi.org/10.1109/TPEL.2018.2879886.Abhinav S., Modares H., Lewis F.L., Ferrese F., Davoudi A. Synchrony in networked microgrids under attacks // IEEE Transactions on Smart Grid. 2017. Vol. 9. Iss. 6. P. 6731–6741. https://doi.org/10.1109/TSG.2017.2721382.Abhinav S., Modares H., Lewis F.L., Ferrese F., Davoudi A. Synchrony in networked microgrids under attacks. IEEE Transactions on Smart Grid. 2017;9(6):6731-6741. https://doi.org/10.1109/TSG.2017.2721382.Bidram A., Poudel B., Damodaran L., Fierro R., Guerrero J.M. Resilient and cybersecure distributed control of inverter-based islanded microgrids // IEEE Transactions on Industrial Informatics. 2020. Vol. 16. Iss. 6. P. 3881–3894. https://doi.org/10.1109/TII.2019.2941748.Bidram A., Poudel B., Damodaran L., Fierro R., Guerrero J.M. Resilient and cybersecure distributed control of inverter-based islanded microgrids. IEEE Transactions on Industrial Informatics. 2020;16(6):3881-3894. https://doi.org/10.1109/TII.2019.2941748.Dehkordi N.M., Baghaee H.R., Sadati N., Guerrero J.M. Distributed noise-resilient secondary voltage and frequency control for islanded microgrids // IEEE Transactions on Smart Grid. 2019. Vol. 10. Iss. 4. P. 3780–3790. https://doi.org/10.1109/TSG.2018.2834951.Dehkordi N.M., Baghaee H.R., Sadati N., Guerrero J.M. Distributed noise-resilient secondary voltage and frequency control for islanded microgrids. IEEE Transactions on Smart Grid. 2019;10(4):3780-3790. https://doi.org/10.1109/TSG.2018.2834951.Ding Lei, Han Qing-Long, Wang Le Yi, Sindi E. Distributed cooperative optimal control of DC microgrids with communication delays // IEEE Transactions on Industrial Informatics. 2018. Vol. 14. Iss. 9. P. 3924–3935. https://doi.org/10.1109/ TII.2018.2799239.Ding Lei, Han Qing-Long, Wang Le Yi, Sindi E. Distributed cooperative optimal control of DC microgrids with communication delays. IEEE Transactions on Industrial Informatics. 2018;14(9):3924-3935. https://doi.org/10.1109/TII.2018.2799239.Duan Jie, Chow Mo-Yuen. Robust consensus-based distributed energy management for microgrids with packet losses tolerance // IEEE Transactions on Smart Grid. 2020. Vol. 11. Iss. 1. P. 281–290. https://doi.org/10.1109/TSG.2019.2921231.Duan Jie, Chow Mo-Yuen. Robust consensus-based distributed energy management for microgrids with packet losses tolerance. IEEE Transactions on Smart Grid. 2020;11(1):281-290. https://doi.org/10.1109/TSG.2019.2921231.Kolosok I., Gurina L. Calculation of cyber security index in the problem of power system state estimation based on SCADA and WAMS measurements // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer, 2016. Vol. 8985. P. 172–177. https://doi.org/10.1007/9783-319-31664-2_18.Kolosok I., Gurina L. Calculation of cyber security index in the problem of power system state estimation based on SCADA and WAMS measurements. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer; 2016, vol. 8985, p. 172-177. https://doi.org/10.1007/9783-319-31664-2_18.Гурина Л.А. Повышение киберустойчивости SCADA и WAMS при кибератаках на информационно-коммуникационную подсистему ЭЭС // Вопросы кибербезопасности. 2022. Т. 2. № 46. С. 18–26. https://doi.org/10.21681/23113456-2022-2-18-26.Gurina L. Increasing cyber resilience of SCADA and WAMS in the event of cyber attacks on the information and communication subsystem of the electric power system. Voprosy kiberbezopasnosti = Cybersecurity issues. 2022;2(46):18-26. https://doi.org/10.21681/2311-3456-2022-2-18-26

The authors declare that there are no conflicts of interest present.