Data Object Modeling for Industrial Internet of Things and Its Efficient Implementation in a Cloud Test System for Relay Protection

[1] El-Naily, N., Saad, S. M., & Mohamed, F. A. (2020). Novel approach for optimum coordination of overcurrent relays to enhance microgrid earth fault protection scheme. Sustainable Cities and Society, 54, 102006. El-NailyN.SaadS. M. & MohamedF. A. (2020). Novel approach for optimum coordination of overcurrent relays to enhance microgrid earth fault protection scheme. Sustainable Cities and Society, 54, 102006.Search in Google Scholar

[2] Sleva, A. M. (2018). Protective relay principles. CRC Press. SlevaA. M. (2018). Protective relay principles. CRC Press.Search in Google Scholar

[3] Singh, M. (2017). Protection coordination in distribution systems with and without distributed energy resources-a review. Protection and Control of Modern Power Systems, 2(3), 1-17. SinghM. (2017). Protection coordination in distribution systems with and without distributed energy resources-a review. Protection and Control of Modern Power Systems, 2(3), 1-17.Search in Google Scholar

[4] Yazdaninejadi, A., Naderi, M. S., Gharehpetian, G. B., & Talavat, V. (2018). Protection coordination of directional overcurrent relays: new time current characteristic and objective function. IET Generation, Transmission & Distribution, 12(1), 190-199. YazdaninejadiA.NaderiM. S.GharehpetianG. B. & TalavatV. (2018). Protection coordination of directional overcurrent relays: new time current characteristic and objective function. IET Generation, Transmission & Distribution, 12(1), 190-199.Search in Google Scholar

[5] Salih, B. M., IBRAHIM, M. A., & Hamoodi, A. N. (2021). Differential relay protection for prototype transformer. PRZEGLĄD ELEKTROTECHNICZNY, ISSN, 0033-2097. SalihB. M.IBRAHIMM. A. & HamoodiA. N. (2021). Differential relay protection for prototype transformer. PRZEGLĄD ELEKTROTECHNICZNY, ISSN, 0033-2097.Search in Google Scholar

[6] Reimert, D. (2017). Protective relaying for power generation systems. CRC press. ReimertD. (2017). Protective relaying for power generation systems. CRC press.Search in Google Scholar

[7] Paithankar, Y. G., & Bhide, S. R. (2022). Fundamentals of power system protection. PHI Learning Pvt. Ltd.. PaithankarY. G. & BhideS. R. (2022). Fundamentals of power system protection. PHI Learning Pvt. Ltd..Search in Google Scholar

[8] Kulikov, A., Loskutov, A., & Bezdushniy, D. (2022). Relay protection and automation algorithms of electrical networks based on simulation and machine learning methods. Energies, 15(18), 6525. KulikovA.LoskutovA. & BezdushniyD. (2022). Relay protection and automation algorithms of electrical networks based on simulation and machine learning methods. Energies, 15(18), 6525.Search in Google Scholar

[9] Ghalei Monfared Zanjani, M., Mazlumi, K., & Kamwa, I. (2018). Application of μPMUs for adaptive protection of overcurrent relays in microgrids. IET Generation, Transmission & Distribution, 12(18), 4061-4068. Ghalei Monfared ZanjaniM.MazlumiK. & KamwaI. (2018). Application of μPMUs for adaptive protection of overcurrent relays in microgrids. IET Generation, Transmission & Distribution, 12(18), 4061-4068.Search in Google Scholar

[10] Gurevich, V. (2017). Cyber and electromagnetic threats in modern relay protection. Crc Press. GurevichV. (2017). Cyber and electromagnetic threats in modern relay protection. Crc Press.Search in Google Scholar

[11] Kiliçkiran, H. C., Şengör, İ., Akdemir, H., Kekezoğlu, B., Erdinç, O., & Paterakis, N. G. (2018). Power system protection with digital overcurrent relays: A review of non-standard characteristics. Electric Power Systems Research, 164, 89-102. KiliçkiranH. C.Şengörİ.AkdemirH.KekezoğluB.ErdinçO. & PaterakisN. G. (2018). Power system protection with digital overcurrent relays: A review of non-standard characteristics. Electric Power Systems Research, 164, 89-102.Search in Google Scholar

[12] Rezaei, N., & Uddin, M. N. (2021). An analytical review on state-of-the-art microgrid protective relaying and coordination techniques. IEEE Transactions on Industry Applications, 57(3), 2258-2273. RezaeiN. & UddinM. N. (2021). An analytical review on state-of-the-art microgrid protective relaying and coordination techniques. IEEE Transactions on Industry Applications, 57(3), 2258-2273.Search in Google Scholar

[13] Tian, M., Zhang, L., Guo, P., Zhang, H., Chen, Q., Li, Y., & Xue, A. (2020). Data dependence analysis for defects data of relay protection devices based on apriori algorithm. IEEE Access, 8, 120647-120653. TianM.ZhangL.GuoP.ZhangH.ChenQ.LiY. & XueA. (2020). Data dependence analysis for defects data of relay protection devices based on apriori algorithm. IEEE Access, 8, 120647-120653.Search in Google Scholar

[14] Suo, N., & Zhou, Z. (2021). Computer assistance analysis of power grid relay protection based on data mining. Computer-Aided Design and Applications, 18(S4), 61-71. SuoN. & ZhouZ. (2021). Computer assistance analysis of power grid relay protection based on data mining. Computer-Aided Design and Applications, 18(S4), 61-71.Search in Google Scholar

[15] Zhang, Q. (2021). Relay vibration protection simulation experimental platform based on signal reconstruction of MATLAB software. Nonlinear Engineering, 10(1), 461-468. ZhangQ. (2021). Relay vibration protection simulation experimental platform based on signal reconstruction of MATLAB software. Nonlinear Engineering, 10(1), 461-468.Search in Google Scholar

[16] El‐Naily, N., Saad, S. M., Hussein, T., & Mohamed, F. A. (2019). A novel constraint and non‐standard characteristics for optimal over‐current relays coordination to enhance microgrid protection scheme. IET Generation, Transmission & Distribution, 13(6), 780-793. El‐NailyN.SaadS. M.HusseinT. & MohamedF. A. (2019). A novel constraint and non‐standard characteristics for optimal over‐current relays coordination to enhance microgrid protection scheme. IET Generation, Transmission & Distribution, 13(6), 780-793.Search in Google Scholar

[17] Alam, M. N. (2018). Adaptive protection coordination scheme using numerical directional overcurrent relays. IEEE Transactions on Industrial Informatics, 15(1), 64-73. AlamM. N. (2018). Adaptive protection coordination scheme using numerical directional overcurrent relays. IEEE Transactions on Industrial Informatics, 15(1), 64-73.Search in Google Scholar

[18] Piesciorovsky, E. C., & Schulz, N. N. (2017). Fuse relay adaptive overcurrent protection scheme for microgrid with distributed generators. IET Generation, Transmission & Distribution, 11(2), 540-549. PiesciorovskyE. C. & SchulzN. N. (2017). Fuse relay adaptive overcurrent protection scheme for microgrid with distributed generators. IET Generation, Transmission & Distribution, 11(2), 540-549.Search in Google Scholar

[19] Byk, F., Frolova, Y., & Myshkina, L. (2019). The efficiency of distributed and centralized power system integration. In E3S Web of Conferences (Vol. 114, p. 05007). EDP Sciences. BykF.FrolovaY. & MyshkinaL. (2019). The efficiency of distributed and centralized power system integration. In E3S Web of Conferences (Vol. 114, p. 05007). EDP Sciences.Search in Google Scholar

[20] Haugli, F. B., & Heegaard, P. E. (2021, October). Modeling framework for study of distributed and centralized smart grid system services. In 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 321-326). IEEE. HaugliF. B. & HeegaardP. E. (2021, October). Modeling framework for study of distributed and centralized smart grid system services. In 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 321-326). IEEE.Search in Google Scholar

[21] López-Ramos, F., Nasini, S., & Sayed, M. H. (2020). An integrated planning model in centralized power systems. European Journal of Operational Research, 287(1), 361-377. López-RamosF.NasiniS. & SayedM. H. (2020). An integrated planning model in centralized power systems. European Journal of Operational Research, 287(1), 361-377.Search in Google Scholar

[22] Khatib, T., & Sabri, L. (2021). Grid Impact Assessment of Centralized and Decentralized Photovoltaic‐ Based Distribution Generation: A Case Study of Power Distribution Network with High Renewable Energy Penetration. Mathematical Problems in Engineering, 2021(1), 5430089. KhatibT. & SabriL. (2021). Grid Impact Assessment of Centralized and Decentralized Photovoltaic‐ Based Distribution Generation: A Case Study of Power Distribution Network with High Renewable Energy Penetration. Mathematical Problems in Engineering, 2021(1), 5430089.Search in Google Scholar

[23] Aoun, A., Adda, M., Ilinca, A., Ghandour, M., & Ibrahim, H. (2024). Centralized vs. Decentralized electric grid resilience analysis using Leontief’s input–output model. Energies, 17(6), 1321. AounA.AddaM.IlincaA.GhandourM. & IbrahimH. (2024). Centralized vs. Decentralized electric grid resilience analysis using Leontief’s input–output model. Energies, 17(6), 1321.Search in Google Scholar

[24] Martín-Martínez, F., Sánchez-Miralles, A., Rivier, M., & Calvillo, C. F. (2017). Centralized vs distributed generation. A model to assess the relevance of some thermal and electric factors. Application to the Spanish case study. Energy, 134, 850-863. Martín-MartínezF.Sánchez-MirallesA.RivierM. & CalvilloC. F. (2017). Centralized vs distributed generation. A model to assess the relevance of some thermal and electric factors. Application to the Spanish case study. Energy, 134, 850-863.Search in Google Scholar

[25] Lichtenegger, K., Leitner, A., Märzinger, T., Mair, C., Moser, A., Wöss, D., ... & Pröll, T. (2020). Decentralized heating grid operation: A comparison of centralized and agent-based optimization. Sustainable Energy, Grids and Networks, 21, 100300. LichteneggerK.LeitnerA.MärzingerT.MairC.MoserA.WössD. ... & PröllT. (2020). Decentralized heating grid operation: A comparison of centralized and agent-based optimization. Sustainable Energy, Grids and Networks, 21, 100300.Search in Google Scholar

[26] Mousavi, S. A. E., Chabanloo, R. M., Farrokhifar, M., & Pozo, D. (2020). Wide area backup protection scheme for distance relays considering the uncertainty of network protection. Electric Power Systems Research, 189, 106651. MousaviS. A. E.ChabanlooR. M.FarrokhifarM. & PozoD. (2020). Wide area backup protection scheme for distance relays considering the uncertainty of network protection. Electric Power Systems Research, 189, 106651.Search in Google Scholar

[27] Sabri, Y., El Kamoun, N., & Lakrami, F. (2019, October). A survey: Centralized, decentralized, and distributed control scheme in smart grid systems. In 2019 7th mediterranean congress of telecommunications (CMT) (pp. 1-11). IEEE. SabriY.El KamounN. & LakramiF. (2019, October). A survey: Centralized, decentralized, and distributed control scheme in smart grid systems. In 2019 7th mediterranean congress of telecommunications (CMT) (pp. 1-11). IEEE.Search in Google Scholar

[28] Novash I. V. (2017). MODELING OF POWER SYSTEMS AND TESTING OF RELAY PROTECTION DEVICES IN REAL AND MODEL TIME.ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations(3),198-210. Novash I. V. (2017). MODELING OF POWER SYSTEMS AND TESTING OF RELAY PROTECTION DEVICES IN REAL AND MODEL TIME.ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations(3),198-210.Search in Google Scholar

[29] John E. Efiong,Abiodun Akinwale,B. O. Akinyemi,Emmanuel Olajubu & Sola Aderounmu. (2025). CyberGrid: an IEC61850 protocol-based substation automation virtual cyber range for cybersecurity research in the smart grid. Cyber-Physical Systems(1),47-66. EfiongJohn E.AkinwaleAbiodunAkinyemiB. O.OlajubuEmmanuel & AderounmuSola. (2025). CyberGrid: an IEC61850 protocol-based substation automation virtual cyber range for cybersecurity research in the smart grid. Cyber-Physical Systems(1),47-66.Search in Google Scholar

[30] Xingcong Dong,Haitian Yang,Ming Qi,Di Zuo,Guixue Wang & Yiqian He. (2024). Quadtree SBFEM-based nonlocal damage analysis for soft biological tissues with interval parameters. Engineering Analysis with Boundary Elements(PA),105959-105959. DongXingcongYangHaitianQiMingZuoDiWangGuixue & HeYiqian. (2024). Quadtree SBFEM-based nonlocal damage analysis for soft biological tissues with interval parameters. Engineering Analysis with Boundary Elements(PA),105959-105959.Search in Google Scholar

[31] Tengbiao Li & Junsheng Qiao. (2025). A novel radial basis function neural network classifier based on three-way decisions. Engineering Applications of Artificial Intelligence109811-109811. LiTengbiao & QiaoJunsheng. (2025). A novel radial basis function neural network classifier based on three-way decisions. Engineering Applications of Artificial Intelligence109811-109811.Search in Google Scholar