Abstract
Region outage is one of distribution system and most of time caused by weather or a fault in transmission lines. Smart grid is a new concept that can be a solution for few people existing in a far region to avoid islanded problem. Thanks to IT evolution and the integration of the renewable resources in the existing electrical grid and the bi-directional communication ensured in distribution network, we can distribute power smartly to response all demands or response the emergencies demands. In this paper we propose a potential outage management and a new approach of distribution based on some collected region parameters and based on the potential of distributed generation like solar panel, wind turbine and storage batteries. Islanding region can be detected with some existing islanding detection methods. Smart loads selection is done through an intelligent controller who collects information from different controllers and sensors. The regional data center analyzes and decides a layered tree that contains consumers who will be covered by the outage operation. An algorithm is developed to implement our approach with some distribution simulation to discuss and analyze results.
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References
Misra, S., Krishna, P.V., Saritha, V., Obaidat, M.S.: Learning automata as a utility for power management in smart grids. IEEE Commun. Mag. 51, 98–104 (2013)
Fang, X., Misra, S., Xue, G., Yang, D.: The new and improved power grid: A survey. IEEE Commun. Surv. Tutorials (2012)
Gellings, C.W.: The Smart Grid: Enabling Energy Efficiency and Demand Response. The Fairmont Press, Inc., Lilburn (2009)
Gillani, S., Laforest, F., Picard, G.: A generic ontology for prosumer-oriented smart grid. In: EDBT/ICDT Workshops, pp. 134–139 (2014)
Alepuz, S., Busquets-Monge, S., Bordonau, J., Martinez-Velasco, J.A., Silva, C.A., Pontt, J., Rodriguez, J.: Control strategies based on symmetrical components for grid-connected converters under voltage dips. IEEE Trans. Ind. Electron. 56(6), 2162–2173 (2009)
Alizadeh, M., Wang, A., Scaglione, A.: Demand side management trends in the power grid. In: International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 141–144 (2011)
Conejo, A.J., Morales, J.M., Baringo, L.: Real-time demand response model. IEEE Trans. Smart Grid 1(3), 236–242 (2010)
Sundar, D.J., Kumaran, M.S.: A comparative review of islanding detection schemes in distributed generation systems. Int. J. Renew. Energy Res. 5(4), 1016–1023 (2015)
Jayaweera, D., Galloway, S., Burt, G., McDonald, J.R.: A sampling approach for intentional islanding of distributed generation. IEEE Trans. Power Syst. 22(2), 514–521 (2007)
Fuangfoo, P., Meenual, T., Lee, W.J., Chompoo-inwai, C.: PEA guidelines for impact study and operation of DG for islanding operation. IEEE Trans. Ind. Appl. 44(5), 1348–1353 (2008)
Hamdaoui, Y., Maach, A.: A smart approach for intentional islanding based on dynamic selection algorithm in microgrid with distributed generation. In: 2017 International Conference on Big Data, Cloud and Application (BDCA), pp. 1–7. ACM (2017)
Haque, M.E., Negnevitsky, M., Muttaqi, K.M.: A novel control strategy for a variable-speed wind turbine with a permanent-magnet synchronous generator. IEEE Trans. Ind. Appl. 46(1), 331–339 (2010)
Hamdaoui, Y., Maach, A.: Prosumers Integration and the Hybrid Communication in Smart Grid Context. Networked Systems. LNCS, vol. 9466. Springer, Cham (2015)
Küfeoğlu, S., Lehtonen, M.: Interruption costs of service sector electricity customers, a hybrid approach. Int. J. Electr. Power Energy Syst. 64, 588–595 (2015)
Baarsma, B.E., Hop, J.P.: Pricing power outages in the Netherlands. Energy 34(9), 1378–1386 (2009)
Modarres, M.: Power outage planning. Eur. J. Oper. Res. 49(2), 254–265 (1990)
Hamdaoui, Y., Maach, A.: Smart islanding in smart grids. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 175–180. IEEE (2016)
Li, C., Cao, C., Cao, Y., Kuang, Y., Zeng, L., Fang, C.: A review of islanding detection methods for microgrid. Renew. Sustain. Energy Rev. 35, 211–220 (2014)
Papadimitriou, C.N., Kleftakis, V.A., Hatziargyriou, N.D.: A novel islanding detection method for microgrids based on variable impedance insertion. Electr. Power Syst. Res. 121, 58–66 (2015)
Teoh, W.Y., Tan, C.W.: An overview of islanding detection methods in photovoltaic systems In: International Conference of World Academy of Science, Engineering and Technology, WASET 2011, Bali (INDONESIA), pp. 674–682 (2011)
Hamdaoui, Y., Maach, A.: Dynamic balancing of powers in islanded microgrid using distributed energy resources and prosumers for efficient energy management. In: 2017 IEEE Smart Energy Grid Engineering (SEGE). IEEE (2017)
Kyritsis, A., Papanikolaou, N., Tselepis, S., Christodoulou, C.: Islanding detection methods for distributed PV systems overview and experimental study. In: Karampelas, P., Ekonomou, L., (eds.) Electricity Distribution, pp. 63–79. Springer, Heidelberg (2016)
Renewable Energy Policy Network for the 21st century (REN21). Renewables 2014 global status report (2014). http://www.ren21.net/Portals/0/documents/Resources/GSR/2014/GSR2014_full%20report_low%20res.pdf
Hamdaoui, Y., Maach, A.: An intelligent islanding selection algorithm for optimizing the distribution network based on emergency classification. In: Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1–7. IEEE (2017)
Li, C., Cao, C., Cao, Y., Kuang, Y., Zeng, L., Fang, B.: A review of islanding detection methods for microgrid. Renew. Sustain. Energy Rev. 35, 211–220 (2014)
Ma, T., Yang, H.X., Lin, L.: A feasibility study of a stand-alone hybrid solar-wind battery system for a remote island. Appl. Energy 121, 149–158 (2014)
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Hamdaoui, Y., Maach, A. (2018). A Novel Smart Distribution System for an Islanded Region. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds) Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-69137-4_24
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DOI: https://doi.org/10.1007/978-3-319-69137-4_24
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