scalability analysis; information and communication technology; modeling; OMNeT++; smart grid architecture model
Résumé :
[en] Information and Communication Technology (ICT) infrastructures are at the heart of emerging Smart Grid scenarios with high penetration of Distributed Energy Resources (DER). The scalability of such ICT infrastructures is a key factor for the large scale deployment of the aforementioned Smart Grid solutions, which could not be ensured by small-scale pilot demonstrations. This paper presents a novel methodology that has been developed in the scope of the H2020 project InteGrid, which enables the scalability analysis of ICT infrastructures for Smart Grids. It is based on the Smart Grid Architecture Model (SGAM) framework, which enables a standardized and replicable approach. This approach consists of two consecutive steps: a qualitative analysis that aims at identifying potential bottlenecks in an ICT infrastructure; and a quantitative analysis of the identified critical links under stress conditions by means of simulations with the aim of evaluating their operational limits. In this work the proposed methodology is applied to a cluster of solutions demonstrated in the InteGrid Slovenian pilot. This pilot consists of a Large Customer Commercial Virtual Power Plant (VPP) that provides flexibility in medium voltage for tertiary reserve and a Traffic Light System (TLS) to validate such flexibility offers. This approach creates an indirect Transmission System Operator (TSO)—Distribution System Operator (DSO) coordination scheme.
Centre de recherche :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Energie Gestion des systèmes d’information Sciences informatiques
Auteur, co-auteur :
POTENCIANO MENCI, Sergio ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
Le Baut, Julien ✱
Matanza Domingo, Javier ✱
López López, Gregorio ✱
Cossent Arín, Rafael
Pio Silva, Manuel
✱ Ces auteurs ont contribué de façon équivalente à la publication.
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
A Novel Methodology for the Scalability Analysis of ICT Systems for Smart Grids Based on SGAM: The InteGrid Project Approach
Date de publication/diffusion :
2020
Titre du périodique :
Energies
ISSN :
1996-1073
Maison d'édition :
Multidisciplinary Digital Publishing Institute (MDPI), Suisse
H2020 Project InteGrid. Available online: https://integrid-h2020.eu/ (accessed on 21 July 2020).
Fris. How to Develop Scalable Business Model? A Study on the Scalability of Business Model in Finnish ICT & Software Industry. Master s Thesis, Oulu Business School, Oulu, Finland, 2014.
Rodríguez Calvo, A. Scalability and Replicability of the Impact of Smart Grid Solutions in Distribution Systems. Ph.D. Thesis, Universidad Pontificia Comillas, Madrid, Spain, 2017.
Sigrist, L.; May, K.; Morch, A.; Verboven, P.; Vingerhoets, P.; Rouco, L. On Scalability and Replicability of Smart Grid Projects A Case Study. Energies 2016, 9, 195.
Ma, S.; Zhang, H.; Xing, X. Scalability for Smart Infrastructure System in Smart Grid: A Survey. Wirel. Pers. Commun. 2017, 99. doi:10.1007/s11277-017-5045-y.
Nafi, N.; Ahmed, K.; Gregory, M.; Datta, M. A Survey of Smart Grid Architectures, Applications, Benefits and Standardization. J. Netw. Comput. Appl. 2016, 76. doi:10.1016/j.jnca.2016.10.003.
Hägerling, C.; Georg, H.;Wietfeld, C. A Modularized and Distributed Simulation Environment for Scalability Analysis of Smart Grid ICT Infrastructures. 2012, pp. 327-330. doi:10.4108/icst.simutools.2012.247729.
Bergmann, J.; Glomb, C.; Götz, J.; Heuer, J.; Kuntschke, R.;Winter, M. Scalability of Smart Grid Protocols: Protocols and Their Simulative Evaluation for Massively Distributed DERs. In Proceedings of the 2010 First IEEE International Conference on Smart Grid Communications, Desenzano del Garda, Italy, 6 October 2010; pp. 131-136.
Kroß, J.; Brunnert, A.; Prehofer, C.; Runkler, T.A.; Krcmar, H. Model-Based Performance Evaluation of Large-Scale Smart Metering Architectures. In Proceedings of the 4th International Workshop on Large-Scale Testing, Austin, TX, USA, 1 February 2015; Association for Computing Machinery: New York, NY, USA, 2015; pp. 9-12. doi:10.1145/2693182.2693184.
Gungor, V.; Lambert, F. A survey on communication networks for electric system automation. Comput. Netw. 2006, 50, 877-897. doi:10.1016/j.comnet.2006.01.005.
CEN-CENELEC-ETSI Smart Grid Coordination Group. Smart Grid Reference Architecture. Available online: https://www.cencenelec.eu/standards/Sectorsold/SustainableEnergy/SmartGrids/Pages/default. aspx (accessed on 21 July 2020).
H2020 Project InterFLEX . Available online: https://interflex-h2020.com/ (accessed on 21 July 2020).
H2020 Project Discern. Available online: https://cordis.europa.eu/project/rcn/106040/factsheet/en (accessed on 21 July 2020).
Fischer, L.; Uslar, M.; Morrill, D.; Doering, M.; Haesen, E. Study on the Evaluation of Risks of Cyber-Incidents and on Costs of Preventing Cyber-Incidents in the Energy Sector; European Commission: Berlin, Germany, 2018.
Uslar, M.; Rohjans, S.; Neureiter, C.; Pröstl Andrén, F.; Velasquez, J.; Steinbrink, C.; Efthymiou, V.; Migliavacca, G.; Horsmanheimo, S.; Brunner, H.; et al. Applying the smart grid architecture model for designing and validating system-of-systems in the power and energy domain: A European perspective. Energies 2019, 12, 258.
Santodominigo, R.; Uslar, M.; Göring, A.; Gottschalk, M.; Nordström, L.; Saleem, A.; Chenine, M. SGAM-based methodology to analyse Smart Grid solutions in DISCERN European research project. In Proceedings of the 2014 IEEE International Energy Conference (ENERGYCON), Cavtat, Croatia, 13-16 May 2014. doi:10.1109/ENERGYCON.2014.6850510.
Neureiter, Christian; Eibl, G.E.D.S.S.U.M. A concept for engineering smart grid security requirements based on SGAM models. Comput. Sci. Res. Dev. 2016, 31, 65-71. doi:10.1007/s00450-014-0288-2.
SGAM Toolbox, Modelling Aid for the Smart Grid Architecture Model. Available online: https://sgamtoolbox. org/ (accessed on 21 July 2020).
Le Baut, J.; Leimgruber, F.; Korner, C.; Gutschi, C. The Traffic Light System to support Flexibility Exploitation from stressed distribution grids. In CIRED 2019 Proceedings; AIM: Queensland, Australia, 2019.
Bessa, R.; Coelho, F.; Rodrigues, X.; Alonso, A.; Soares, T.; Pires, G.; Matos, P.; Prates, I.; Shahrokni, H.; Mäkivierikko, A. Grid And Market Hub: Empowering Local Energy Communities in Integrid. In Proceedings of the CIREDWorkshop, Ljubljana, Slovenia, 7-8 June 2018.
IEEE Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System (EPS), End-Use Applications, and Loads; IEEE Std 2030-2011; IEEE: Piscataway, NJ, USA, 2011; pp. 1-126.
López, G.; Moreno, J.; Amarís, H.; Salazar, F. Paving the road toward Smart Grids through large-scale advanced metering infrastructures. Electr. Power Syst. Res. 2015, 120, 194-205. doi:10.1016/j.epsr.2014.05.006.
OMNeT++ Discrete Event Simulator. Available online: https://omnetpp.org/ (accessed on 20 July 2020).
Matanza Domingo, J. Improvements in the PLC Systems for Smart Grids Environments. Ph.D. Thesis, Pontifical University of Comillas, Madrid, Spain, 2013.
Lopez Lopez, G. Contribution to Machine-To-Machine Architectures for Smart Grids. Ph.D. Thesis, University Carlos III, Madrid, Spain, 2014.
Smart Distribution System OperaTion for MAximizing the INtegration of RenewABLE Generation Project SUSTAINABLE. Available online: https://cordis.europa.eu/project/id/308755 (accessed on 21 July 2020).
López, G.; Matanza, J.; De La Vega, D.; Castro, M.; Arrinda, A.; Moreno, J.I.; Sendin, A. The Role of Power Line Communications in the Smart Grid Revisited: Applications, Challenges, and Research Initiatives. IEEE Access 2019, 7, 117346-117368.
Corchado, J.A.; Manero, E.; Cortés, J.A.; Sanz, A.; Díez, L. Application-layer performance analysis of PRIME in Smart Metering networks. In Proceedings of the 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), Sydney, NSW, Australia, 6-9 November 2016; pp. 332-337.
Uribe, N.; Angulo, I.; De la Vega, D.; Arzuaga, T.; Fernandez, I.; Arrinda, A. Smart Grid Applications for a Practical Implementation of IP over Narrowband Power Line Communications. Energies 2017, 10, 178.
Lopez, G.; Moreno, J.I.; Sanchez, E.; Martinez, C.; Martin, F. Noise Sources, Effects and Countermeasures in Narrowband Power-Line Communications Networks: A Practical Approach. Energies 2017, 10, 1238.
Mets, K.; Ojea, J.A.; Develder, C. Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis. IEEE Commun. Surv. Tutor. 2014, 16, 1771-1796. doi:10.1109/SURV.2014.021414.00116.
López, G.; Moura, P.; Moreno, J.; Camacho, J. Multi-Faceted Assessment of a Wireless Communications Infrastructure for the Green Neighborhoods of the Smart Grid. Energies 2014, 7, 3453-3483. doi:10.3390/en7053453.
López, G.; Moura, P.S.; Custodio, V.; Moreno, J.I. Modeling the neighborhood area networks of the smart grid. In Proceedings of the 2012 IEEE International Conference on Communications (ICC), Ottawa, ON, Canada, 10-15 June 2012; 2012; pp. 3357-3361.
SimPRIME Simulator. Available online: https://www.iit.comillas.edu/jmatanza/SimPRIME/ (accessed on 29 March 2019).
Matanza, J.; Alexandres, S.; Rodriguez-Morcillo, C. Automatic meter-reading simulation through power line communication. In Proceedings of the 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, San Francisco, CA, USA, 14-16 August 2013; pp. 283-287.
Matanza, J.; Alexandres, S.; Rodríguez-Morcillo, C. Advanced metering infrastructure performance using European low-voltage power line communication networks. IET Commun. 2014, 8, 1041-1047.
González-Sotres, L.; Mateo, C.; Frías, P.; Rodríguez-Morcillo, C.; Matanza, J. Replicability analysis of PLC PRIME networks for smart metering applications. IEEE Trans. Smart Grid 2018, 9, 827-835.
Seijo, M.; López, G.; Matanza, J.; Moreno, J.I. Planning and performance challenges in power line communications networks for smart grids. Int. J. Distrib. Sens. Netw. 2016, 2016, 28.
Seijo, M.; López, G.; Matanza, J.; Moreno, J.I. From the Lap(top) to the Jungle: Validating the PRIME Network Simulator SimPRIME with Data from the Field. In Proceedings of the 2019 IEEE International Symposium on Power Line Communications and its Applications (ISPLC), Praha, Czech Republic, 3-5 April 2019; pp. 1-6. doi:10.1109/ISPLC.2019.8693262.
Matanza, J.; Kiliccote, S.; Alexandres, S.; Rodríguez-Morcillo, C. Simulation of low-voltage narrow-band power line communication networks to propagate OpenADR signals. J. Commun. Networks 2015, 17, 656-664.
Hopkinson, K.;Wang, X.; Giovanini, R.; Thorp, J.; Birman, K.; Coury, D. EPOCHS: A platform for agent-based electric power and communication simulation built from commercial off-The-shelf components. IEEE Trans. Power Syst. 2006, 21, 548-558.
Lin, H.; Veda, S.S.; Shukla, S.S.; Mili, L.; Thorp, J. GECO: Global event-driven co-simulation framework for interconnected power system and communication network. IEEE Trans. Smart Grid 2012, 3, 1444-1456.
Chatzivasileiadis, S.; Bonvini, M.; Matanza, J.; Yin, R.; Nouidui, T.; Kara, E.; Parmar, R.; Lorenzetti, D.; Wetter, M.; Kiliccote, S. Cyber-physical modeling of distributed resources for distribution system operations. Proc. IEEE 2016, 104. doi:10.1109/JPROC.2016.2520738.
Funtional Mock-Up Interface for Model Exchange and Co-Simulation. Available online: https://www.fmistandard. org/ (accessed on 29 March 2019).
Nouidui, T.S.; Coignard, J.; Gehbauer, C.; Wetter, M.; Joo, J.Y.; Vrettos, E. CyDER An FMI-based co-simulation platform for distributed energy resources. J. Build. Perform. Simul. 2019, 12, 566-579.
Rotger-Griful, S.; Chatzivasileiadis, S.; Jacobsen, R.H.; Stewart, E.M.; Domingo, J.M.; Wetter, M. Hardware-in-The-loop co-simulation of distribution grid for demand response. In Proceedings of the 2016 Power Systems Computation Conference (PSCC), Genoa, Italy, 20-24 June 2016; pp. 1-7.
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. IEEE Ind. Electron. Mag. 2017, 11, 34-50.
Seijo, M.; López, G.; Moreno, J.I.; Matanza, J.; Alexandres, S.; Rodríguez-Morcillo, C.; Martín, F. Let there be light: Dissecting how PRIME networks work based on actual traffic traces. In Proceedings of the 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, USA, 2-5 November 2015; pp. 472-477.
Meyer, M. TCP performance over GPRS. In Proceedings of the WCNC, 1999 IEEEWireless Communications and Networking Conference (Cat. No.99TH8466), New Orleans, LA, USA, 21-24 September 1999; Volume 3, pp. 1248-1252 vol.3. doi:10.1109/WCNC.1999.796937.
Rendon, J.; Casadevall, F.; Serarols, D. Snoop TCP performance over GPRS. In Proceedings of the IEEE VTS 53rd Vehicular Technology Conference, Spring 2001, Proceedings (Cat. No.01CH37202), Rhodes, Greece, 6-9 May 2001; Volume 3, pp. 2103-2107 vol.3. doi:10.1109/VETECS.2001.945067.
Benko, P.; Malicsko, G.; Veres, A. A large-scale, passive analysis of end-To-end TCP performance over GPRS. In Proceedings of the IEEE INFOCOM 2004, Hong Kong, China, 7-11 March 2004, Volume 3, pp. 1882-1892. doi:10.1109/INFCOM.2004.1354598.
Todinca, D.; Pescaru, D.; Vi t?alariu, M. OMNeT++ Models for Resource Allocation in Wireless Networks. In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems Workshops, Marseille, France, 3-7 March 2008; ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering: Brussels, Belgium, 2008; pp. 84:1-84:8.
Shrestha, G.M.; Jasperneite, J. Performance evaluation of cellular communication systems for m2m communication in smart grid applications. In Proceedings of the International Conference on Computer Networks, Szczyrk, Poland, 19-23 June 2012; 2012; pp. 352-359.
NIST PAP 2. Wireless Functionality and Characteristics Matrix for the Identification of Smart Grid Domain Application. Available online: http://www.cs.cmu.edu/~jorjeta/Papers/NISTIR7761.pdf (accessed on 21 July 2020)
Matanza, J.; Alexandres, S.; Rodriguez-morcillo, C. Performance Evaluation of Two Narrowband PLC Systems: PRIME and G3. Comput. Stand. Interfaces 2013, 36, 198-208.