Abstract
Scalability refers to the capability of a system or network being expanded or upgraded easily to satisfy ever-increasing growing demand, the development of smart grid is anticipated to be highly desirable in realizing the scalability. In this paper, scalability of smart infrastructure system composed of smart power electricity, smart information as well as smart communication was emphasized, which may provide basis and foundation for all other systems. All scalability aspects in smart grid was taken into consideration and particular focus was directed on the three major parts of smart infrastructure system. Finally, issues regarding to future challenges and opportunities of scalability architectures together with protocols and algorithms in smart grid were also addressed.
Similar content being viewed by others
References
Bouhafs, F., Mackay, M., & Merabti, M. (2012). Links to the future: Communication requirements and challenges in the smart grid. Power and Energy Magazine, 10(1), 24–32.
GRID+: Study on scalability and replicability of smart grid projects. http://www.globalsmartgridfederation.org/.
Venayagamoorthy, G. K. (2011). Dynamic, stochastic, computational, and scalable technologies for smart grids. Computational Intelligence Magazine, 6(3), 22–35.
Fang, X., Misra, S., Xue, G. L., & Yang, D. J. (2012). Smart grid—The new and improved power grid: A survey. Communications Surveys & Tutorials, 14(4), 944–980.
Yan, Y., Qian, Y., Sharif, H., & Tipper, D. (2012). A survey on cyber security for smart grid communications. Communications Surveys & Tutorials, 14(4), 998–1010.
Venayagamoorthy, G. K. (2011). Innovative smart grid control technologies. In Power and energy society general meeting (pp. 1–5).
Ancillotti, E., Bruno, R., & Conti, M. (2014). Smoothing peak demands through aggregate control of background electrical loads. In Innovative smart grid technologies conference (pp. 1–5).
Mahnoosh, A., Anna, S., Jamie, D., & Kurani, K. S. (2014). A scalable stochastic model for the electricity demand of electric and plug-in hybrid vehicles. IEEE Transactions on Smart Grid, 5, 848–860.
Streekmann, N., Giesecke, S., Reents, G., Rohr, M., & Stadler, M. (2012). Towards a modular and scalable architecture for high-level smart grid applications. In International workshop on software engineering (pp. 15–18).
The Accenture Intelligent Network Data Enterprise. Achieving high performance in smart grid data management. http://www.accenture.com/SiteCollectionDocuments/PDF/Accenture_Utilities_INDE.
Toersche, H. A., Molderink, A., Hurink, J. L., & Smi, G. J. M. (2014). Cascaded column generation for scalable predictive demand side management. In Energy conference (pp. 1228–1235).
Asr, N. R., Zhang, Z. A., & Mo, Y. (2013). Consensus-based distributed energy management with real-time pricing. In Chow Power and Energy Society general meeting (pp. 1–5).
Zhabelova, G., Patil, S., Yang, C. W., & Vyatkin, V. (2013). Smart grid applications with IEC 61499 Reference architecture. IEEE International Conference on Industrial, 8255, 458–463.
Zhong, F., Bocus, Z., & Kulkarni, P. (2011). Opportunistic communications to improve reliability of AMI mesh networks. In Innovative smart grid technologies (pp. 1–8).
Et-Tolba, E. H., Maaroufi, M., & Ouassaid, M. (2013). Demand side management algorithms and modeling in smart grids: A customer’s behavior based study. In Renewable and sustainable energy conference (pp. 531–536).
Kim, S. J., & Giannakis, G. B. (2013). Scalable and robust demand response with mixed-integer constraints. IEEE Transactions on Smart Grid, 4(4), 2089–2099.
Liu, J., Yu, W., & Yang, X. (2016). Towards multistep electricity prices in smart grid electricity markets. IEEE Transactions on Parallel & Distributed, 27(1), 286–302.
Silva, P. G. D., Karnouskos, S., & Ilic, D. (2013). Evaluation of the scalability of an energy market for smart grid neighborhoods. IEEE International Conference on Industrial, 17(2), 380–385.
Ipakchi, A. (2011). Demand side and distributed resource management—A transactive solution. In Power and Energy Society general meeting (pp. 1–8).
Shenai, K., Shah, K., & Smart, D. C. (2011). Micro-grid for efficient utilization of distributed renewable energy. In Energytech (pp. 1–6).
Vaccaro, A., Velotto, G., & Zobaa, A. F. (2011). A decentralized and cooperative architecture for optimal voltage regulation in smart grids. IEEE Transactions on Industrial Electronics, 58(10), 4593–4602.
MelikeErol, K., & Mouftah, H. T. (2012). Supply and load management for the smart distribution grid using wireless networks. In IEEE Japan–Egypt conference on electronics, communications and computers (pp. 145–150).
Webster, R., & Munasinghe, K. (2013). A scalable distributed microgrid control structure. In 2013 IEEE TENCON spring conference (pp. 10–14).
Li, D., & Jayaweera, S. K. (2015). Distributed smart-home decision-making in a hierarchical interactive smart grid architecture. IEEE Transactions on Parallel & Distributed, 26(1), 75–84.
Vandael, S., Claessens, B., Hommelberg, M., Holvoet, T., & Deconinck, G. (2013). A scalable three-step approach for demand side management of plug-in hybrid vehicles. IEEE Transactions on Smart Grid, 4(2), 720–728.
Bashash, S., & Fathy, H. K. (2013). Optimizing demand response of plug-in hybrid electric vehicles using quadratic programming. American Control Conference, 45, 716–721.
Ruelens, F., Vandael, S., Leterme, W., Claessens, B. J., & Hommelberg, M. (2012). Demand side management of electric vehicles with uncertainty on arrival and departure times. In IEEE PES international conference & exhibition (pp. 1–8).
He, Y., Venkatesh, B., & Guan, L. (2012). Optimal scheduling for charging and discharging of electric vehicles. IEEE Transactions on Smart Grid, 3(3), 1095–1105.
Yaagoubi, N., & Mouftah, H. T. (2014). A game theoretic approach for plug-in hybrid electrical vehicle load management in the smart grid. Electrical Power & Energy Conference, 2(1), 1–6.
Carryl, C., Ilyas, M., Mahgoub, I., & Rathod, M. (2013). The PEV security challenges to the smart grid analysis of threats and mitigation strategies. In International conference on connected vehicles (pp. 300–305).
Kim, Y. J., Vladimir, K., & Marina, T. (2013). TSAF tamper-resistant and scalable mutual authentication framework for plug-in EV charging. IEEE International Conference on Smart Grid Communition, 143(6), 444–449.
Matta. N., Rahim-Amoud. R., Merghem-Boulahia. L., Jrad, A., & Nolot, F. (2013). PriBaCC: In network sensor data processing for efficient smart grid monitoring applications. In Global information infrastructure symposium (pp. 1–6).
Yin, J., Sharma, P., Gorton, I., & Akyoli, B. (2013). Large-scale data challenges in future power grids. In IEEE seventh international symposium on service (pp. 324–328).
Hargreaves, N., Taylor, G., Carter, A., & Mcmorran, A. (2011). Developing emerging standards for power system data exchange to enable interoperable and scalable operational modelling and analysis. In Universities power engineering conference (pp. 1–5).
Wu, Y. M., Saleem, A., & Nordstrom, L. (2014). 115 IEC61850 logical node lookup service using distributed hash tables. In Innovative smart grid technologies conference (pp. 1–5).
Karimi, B., Namboodiri, V., & Jadliwala, M. (2013). On the scalable collection of metering data in smart grids through message concatenation. IEEE International Conference on Smart Grid Communication, 143(6), 318–323.
Fernandez, R. C., Weidlich, M., Gal, A., & Pietzuch, P. (2014). Scalable stateful stream processing for smart grids. In DEBS'14 proceedings of 8th ACM international conference on distributed event-based systems (pp. 276–281).
Huang, X. Y., Liu, J. K., Tang, S. H., Xiang, Y., Kaitai, L., & Xu, L. (2015). Cost-effective authentic and anonymous data sharing with forward security. Computers IEEE Transactions on, 64(4), 971–983.
Smith, S. W. (2012). Cryptographic scalability challenges in the smart grid (extended abstract). In Innovative smart grid technologies (pp. 1–3).
Dimitriou, T. (2014). Secure and scalable aggregation in the smart grid. In International conference on new technologies (Vol. 50, pp. 1–5).
Bitzer, B., & Gebretsadik, E. S. (2013). Cloud computing framework for smart grid applications. In Power engineering conference (pp. 1–5).
Dan, G., Lui, K. S., Tabassum, R., & Zhu, Q. (2013). A secure, scalable and light-weight data collection protocol for smart grids. IEEE International Conference on Smart Grid Communication, 143(6), 480–485.
Kulkarni, P., Gormus, S., Zhong, F., & Motz, B. (2012). A mesh-radio-based solution for smart metering networks. Communications Magazine IEE, 50(7), 86–95.
Amin, R., Martin, J., & Zhou, X. (2012). Smart grid communication using next generation heterogeneous wireless networks. In IEEE third international conference on smart grid (pp. 229–234).
Saputro, N., & Akkaya, K. (2012). An efficient ARP for large-scale IEEE 802.11 s-based smart grid networks. Local Computer Networks, 129, 723–726.
Ma, R., Chen, H. H., Huang, Y. R., & Meng, W. (2013). Smart grid communication: Its challenges and opportunities. IEEE Transactions on Smart Grid, 4(1), 36–46.
Li, Y. X. (2012). Fully distributed state estimation of smart grids. In IEEE International conference on communications (pp. 6580–6585).
Aijaz, A., & Aghvami, A. H. (2015). PRMA based cognitive machine-to-machine communications in smart grid networks. IEEE Transactions on Vehicular Technology, 64(8), 3608–3623.
Mohamed, M. M. E. A., Mahmoud, J. M., & Xuemin, S. (2013). A scalable public key infrastructure for smart grid communications. In Global communications conference (pp. 784–789).
Lo, C. H., & Ansari, N. (2013). Decentralized controls and communications for autonomous distribution networks in smart grid. IEEE Transactions on Smart Grid, 4(1), 66–77.
Tabassum, R., Nahrstedt, K., Rogers, E., & Lui, K. S. (2013). SCAPHCH: Scalable password-changing protocol for smart grid device authentication. In International conference on computer communications (pp. 1–5).
Kathuria, V., Mohanasundaram, G., & Das, S. R. (2013). A simulation study of routing protocols for smart meter networks. IEEE International Conference on Smart Grid Communition, 143(6), 384–389.
Fateri, S., Ni, Q., Taylor, G. A., Panchadcharam, S., & Pisica, I. (2012). Design and analysis of multicast-based publisher subscriber models over wireless platforms for smart grid communications. In IEEE international conference on trust (pp. 1617–1623).
Rajalingham, G., Ho, Q. D., & Le-Ngoc, T. (2013). Attainable throughput, delay and scalability for geographic routing on smart grid neighbor area networks. In Wireless communications & networking conference (pp. 1121–1126).
Wang, Z., Scaglione, A., & Thomas, R. J. (2010). Generating statistically correct random topologies for testing smart grid communication and control networks. IEEE Transactions on Smart Grid, 1(1), 28–39.
Kallitsis, M. G., Michailidis, G., & Devetsikiotis, M. (2012). Optimal power allocation under communication network externalities. IEEE Transactions on Smart Grid, 3(1), 162–173.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflict of interest.
Rights and permissions
About this article
Cite this article
Ma, S., Zhang, H. & Xing, X. Scalability for Smart Infrastructure System in Smart Grid: A Survey. Wireless Pers Commun 99, 161–184 (2018). https://doi.org/10.1007/s11277-017-5045-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-017-5045-y