TY - JOUR
T1 - Enabling architecture based Co-Simulation of complex Smart Grid applications
AU - Binder, C.
AU - Fischinger, M.
AU - Altenhuber, L.
AU - Draxler, D.
AU - Lastro, G.
AU - Neureiter, C.
N1 - Cited By :7
Export Date: 14 December 2023
Correspondence Address: Binder, C.; Salzburg University of Applied Sciences, Urstein Süd 1, Austria; email: [email protected]
Funding details: Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW
Funding details: Bundesministerium für Verkehr, Innovation und Technologie, BMVIT
Funding details: Salzburger Landesregierung
Funding text 1: The financial support by the Austrian Federal Ministry of Science, Research and Economy, the Austrian National Foundation for Research, Technology and Development and the Federal State of Salzburg is gratefully acknowledged. Publication of this supplement was funded by Austrian Federal Ministry for Transport, Innovation and Technology.
References: Andrén, F., Stifter, M., Strasser, T., Towards a semantic driven framework for smart grid applications: Model-driven development using cim, iec 61850 and iec 61499 (2013) Informatik-Spektrum, 36 (1), pp. 58-68; Binder, C., Gross, J.-A., Neureiter, C., Lastro, G., Investigating emergent behavior caused by electric vehicles in the smart grid using Co-Simulation (2019) 2019 14th Annual Conference System of Systems Engineering (SoSE), , IEEE, Anchorage: press; (2012) Smart Grid Reference Architecture; Conboy, K., Gleasure, R., Cullina, E., Agile Design Science Research (2015) New Horizons in Design Science: Broadening the Research Agenda: 10th International Conference (DESRIST), pp. 168-180. , Donnellan B, Helfert M, Kenneally J, VanderMeer D, Rothenberger M, Winter R, (eds), Springer, Dublin, Ireland; Council, T., Gridwise interoperability context-setting framework (2008) GridWise Archit Counc Battelle Memorial Inst, 11, pp. 1-52; Towards a model-driven-architecture process for smart grid projects. In: Benghozi P-J, Krob D., Lonjon A., Panetto H (eds)Digital Enterprise Design & Management, Advances in Intelligent Systems and Computing, 47–58 (2014) Springer, , Paris, France; DeLaurentis, D., Understanding transportation as a system-of-systems design problem (2005) 43rd AIAA Aerospace Sciences Meeting and Exhibit, p. 123. , Aerospace Research Central, Reno; Farhangi, H., The path of the smart grid (2010) IEEE Power Energy Mag, 8 (1), pp. 18-28; Fischinger, M., Neureiter, C., Binder, C., Egger, N., Renoth, M., Fredosar: Towards a security-aware open system architecture framework supporting model based systems engineering (2019) 8th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), , SciTePress, Heraklion, Crete - Greece: press; Godfrey, T., Mullen, S., Griffith, D.W., Golmie, N., Dugan, R.C., Rodine, C., Modeling smart grid applications with co-simulation (2010) 2010 First IEEE International Conference on Smart Grid Communications, pp. 291-296. , IEEE, Gaithersburg; Gomes, C., Thule, C., Broman, D., Larsen, P.G., Vangheluwe, H., (2017) Co-Simulation: State of the Art. Arxiv Preprint Arxiv, 1702, p. 00686; Greer, C., Wollman, D.A., Prochaska, D.E., Boynton, P.A., Mazer, J.A., Nguyen, C.T., Fitzpatrick, G.J., Hefner, A.R., Nist framework and roadmap for smart grid interoperability standards, release 3.0 (2014) Technical Report; Haberfellner, R., de Weck, O., Fricke, E., Vössner, S., Systems Engineering - Grundlagen und Anwendung, 13 edn (2015) Orell Füssli, , Zürich, Schweiz; Hevner, A., Chatterjee, S., (2010) Design Science Research in Information Systems - Theory and Practice, , Springer, Berlin Heidelberg; Knirsch, F., Engel, D., Neureiter, C., Frincu, M., Prasanna, V., Model-driven privacy assessment in the smart grid (2015) Proceedings of the 1st International Conference on Information Systems Security and Privacy (ICISSP), pp. 173-181. , SciTePress, Angers: Best Paper Award; Lampropoulos, I., Vanalme, G.M., Kling, W.L., A methodology for modeling the behavior of electricity prosumers within the smart grid (2010) 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), pp. 1-8. , IEEE, Gothenberg; Lopes, A.J., Lezama, R., Pineda, R., Model based systems engineering for smart grids as systems of systems (2011) Procedia Comput Sci, 6, pp. 441-450; Maier, M.W., (1998) Syst Eng J Int Counc Syst Eng, 1 (4), pp. 267-284; Neureiter, C., (2017) A Domain-Specific, Model Driven Engineering Approach for Systems Engineering in the Smart Grid, , MBSE4U - Tim Weilkiens, Hamburg, Germany; Neureiter, C., Engel, D., Trefke, J., Santodomingo, R., Rohjans, S., Uslar, M., Towards consistent smart grid architecture tool support: From use cases to visualization (2014) Proceedings of IEEE Innovative Smart Grid Technologies (ISGT) 2014, pp. 1-6. , IEEE, Istanbul, Turkey; Neureiter, C., Uslar, M., Engel, D., Lastro, G., A standards-based approach for domain specific modelling of smart grid system architectures (2016) Proceedings of International Conference on System of Systems Engineering (SoSE) 2016, pp. 1-6. , IEEE, Kongsberg,: Best Paper Award; (2014) Model Driven Architecture (MDA) MDA Guide Rev. 2, , Technical report, Object Management Group; Palensky, P., Van Der Meer, A.A., Lopez, C.D., Joseph, A., Pan, K., Cosimulation of intelligent power systems: Fundamentals, software architecture, numerics, and coupling (2017) IEEE Ind Electron Mag, 11 (1), pp. 34-50; Palensky, P., Widl, E., Elsheikh, A., Simulating cyber-physical energy systems: Challenges, tools and methods (2013) IEEE Trans Syst Man Cybern Syst, 44 (3), pp. 318-326; Sage, A.P., Cuppan, C.D., On the systems engineering and management of systems of systems and federations of systems (2001) Inf Knowl Syst Manag, 2 (4), pp. 325-345; Schmidt, D.C., Model-driven engineering (2006) Comput-IEEE Comput Soc, 39 (2), p. 25; Schütte, S., Scherfke, S., Tröschel, M., Mosaik: A framework for modular simulation of active components in smart grids (2011) Smart Grid Modeling and Simulation (SGMS), 2011 IEEE First International Workshop On, pp. 55-60. , IEEE, Brussels; Steinbrink, C., Lehnhoff, S., Rohjans, S., Strasser, T.I., Widl, E., Moyo, C., Lauss, G., Palensky, P., Simulation-based validation of smart grids–status quo and future research trends (2017) International Conference on Industrial Applications of Holonic and Multi-Agent Systems, pp. 171-185. , Springer, Cham; (2010) IEC Smart Grid Standardization Roadmap, pp. 1-136. , U.S. Department of Energy, Washington; (2010) Communications Requirements of Smart Grid Technologies, , Technical report; Whittle, J., Hutchinson, J., Rouncefield, M., The state of practice in model-driven engineering (2014) IEEE Softw, 31 (3), pp. 79-85; Wymore, A.W., (1993) Model-based Systems Engineering, , CRC press, Boca Raton; Yang, C.-H., Zhabelova, G., Yang, C.-W., Vyatkin, V., Cosimulation environment for event-driven distributed controls of smart grid (2013) IEEE Trans Ind Inf, 9 (3), pp. 1423-1435
PY - 2019/9/27
Y1 - 2019/9/27
N2 - The integration of decentralized prosumers into current energy systems leads to continuously increasing complexity in today‘s popular term of the Smart Grid. Since conventional engineering methods reach their limits when dealing with the challenges in developing such systems, model-driven approaches like Domain Specific Systems Engineering (DSSE) gain significant importance. Contributing to the agile development of such a System of Systems (SoS), the application of the DSSE approach is furthermore supported by the introduction of the Smart Grid Architecture Model (SGAM) and Mosaik. However, with both concepts being individual methodologies, their interconnection is missing specifications. Therefore, this paper proposes the development of an interface between architecting and simulating a complex Smart Grid. To achieve this, the concepts of SGAM and Mosaik are analyzed in the first place in order to set up a suitable architectural model of an energy system and the corresponding simulation scenario. Subsequently, the applicability of the present approach is demonstrated by utilizing an excerpt of a real-world case study, the charging behavior of an Electric Vehicle (EV). © 2019, The Author(s).
AB - The integration of decentralized prosumers into current energy systems leads to continuously increasing complexity in today‘s popular term of the Smart Grid. Since conventional engineering methods reach their limits when dealing with the challenges in developing such systems, model-driven approaches like Domain Specific Systems Engineering (DSSE) gain significant importance. Contributing to the agile development of such a System of Systems (SoS), the application of the DSSE approach is furthermore supported by the introduction of the Smart Grid Architecture Model (SGAM) and Mosaik. However, with both concepts being individual methodologies, their interconnection is missing specifications. Therefore, this paper proposes the development of an interface between architecting and simulating a complex Smart Grid. To achieve this, the concepts of SGAM and Mosaik are analyzed in the first place in order to set up a suitable architectural model of an energy system and the corresponding simulation scenario. Subsequently, the applicability of the present approach is demonstrated by utilizing an excerpt of a real-world case study, the charging behavior of an Electric Vehicle (EV). © 2019, The Author(s).
KW - Co-Simulation
KW - Domain specific systems engineering (DSSE)
KW - Electric vehicles
KW - Smart grid
KW - System architecture
KW - Architecture
KW - Electric power transmission networks
KW - Smart power grids
KW - System of systems
KW - Architecture modeling
KW - Architecture-based
KW - Cosimulation
KW - Domain specific
KW - Domain specific system engineering
KW - Energy systems
KW - Smart grid applications
KW - Smart grid architectures
KW - Systems architecture
KW - Computer architecture
U2 - 10.1186/s42162-019-0084-0
DO - 10.1186/s42162-019-0084-0
M3 - Conference article
SN - 2520-8942
VL - 2
JO - Energy. Inform.
JF - Energy. Inform.
M1 - 20
ER -