Abstract
Technologies enable us to make buildings smarter, more energy-efficient, or in general more resource-efficient and sustainable. We design buildings with high-performance appliances that reduce the use of resources. We invest more in distributed energy resources that allow the building to produce more energy than it uses. And we install smart sensors/meters and integrate the Internet of Things to analyze big data on the efficiency of the building operation and process this information in the cyber-world to make smart decision for an efficient energy management. Smart buildings represent a prototypical cyber-physical system with deeply coupled embedded sensing and networked information processing that has increasingly become part of our daily lives. In this paper, a proposed smart building architecture based on main controller to resolve the issue of islanded building in outage case and to ensure a smart dynamic selection of costumer’s loads response through specific parameters like real time consumption measurements, batteries level charge, real time distributed energy production, costumer classification, uninterrupted loads, interrupted loads, costumer production. The cyber physical manager control information transmission with the main grid and also manages the power distribution into building based on parameters analyzing of some parameters. A simulation is done with results discussion for more optimization and to check the effectiveness and superiority of our autonomous power management system through on-site distributed generators within buildings to operate in islanding mode. Finally, This paper present a solution for new building generation that can have a self-supply based on distributed renewable energy and thereafter reduce costs for both government and costumers and create smart living space that becomes an important trend of future.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, Q., Zhang, C., Ding, Y., Xydis, G., Wang, J., Stergaard, J.: Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response. Appl. Energy 138, 695–706 (2015)
Zhabelova, G., Yang, C.-W., Patil, S., Pang, C., Yan, J.D., Shalyto, A., Vyatkin, V.: Cyber-physical components for heterogeneous modelling, validation and implementation of smart grid intelligence. In: 2014 12th IEEE International Conference on Industrial Informatics (INDIN), pp. 411–417. IEEE (2014)
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)
Guo, Y., Pan, M., Fang, Y.: Optimal power management of residential customers in the smart grid. IEEE Trans. Parallel Distrib. Syst. 23, 1593–1606 (2012)
Taktak, E., Abdennadher, I., Rodriguez, I., B.: An adaptation approach for smart buildings. In: 2016 IEEE 18th International Conference on High Performance Computing and Communications, IEEE 14th International Conference on Smart City, IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 1107–1114 (2016)
Weiss, M., Helfenstein, A., Mattern, F., Staake, T.: Leveraging smart meter data to recognize home appliances. In: Proceedings of 2012 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 190–197 (2012)
Hamdaoui, Y., Maach, A.: A novel smart distribution system for an islanded region. In: 2017 International Conference on Advanced Information Technology, Services and Systems (AIT2S) (2017)
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)
Guerrero, J.M., Vasquez, J.C., Matas, J., de Vicuna, L.G., Castilla, M.: Hierarchical control of droop-controlled AC and DC microgrids—a general approach toward standardization. IEEE Trans. Ind. Electron. 58, 158–172 (2011)
Hamdaoui, Y., Maach, A.: Smart islanding in smart grids. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 175–180. IEEE (2016)
Ge, Y., Dong, Y., Zhao, H.: A cyber-physical energy system architecture for electric vehicles charging application. In: 2012 12th International Conference on Quality Software (QSIC), pp. 246–250. IEEE (2012)
Gurgen, L., Gunalp, O., Benazzouz, Y., Gallissot, M.: Self-aware cyber-physical systems and applications in smart buildings and cities. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 1149–1154. EDA Consortium (2013)
Nallamothu, B.K., Selvam, C., Srinivas, K., Prabhakaran, S.: Study on energy savings by using efficient utilites in buildings. In: Communication, Control and Intelligent Systems (CCIS), 2015, pp. 477–481. IEEE (2015)
Hamdaoui Y., Maach A.: Energy efficiency approach for smart building in islanding mode based on distributed energy resources, advanced information technology, services and systems. In: Lecture Notes in Networks and Systems (LNNS), vol 25, pp 36–49. Springer, Cham (2018)
Komninos, N., Philippou, E., Pitsillides, A.: Survey in smart grid and smart home security: issues, challenges and countermeasures. IEEE Commun. Surv. Tutor. 16, 1933–1954 (2014)
Khanna, A.: Smart grid, smart controllers and home energy automation—creating the infrastructure for future. Smart Grid Renew. Energy 03, 165–174 (2012)
Hamdaoui, Y., Maach, A.: Ontology- based context agent for building energy management systems. In: Advanced Intelligent Systems for Sustainable Development, vol. 13. Springer, Cham (2018)
Hamdaoui, Y., Maach, A., El Hadri, A.: Autonomous power distribution system through smart dynamic selection model using islanded micro grid context parameters and based on renewable resources. Int. J. Mech. Eng. Technol. (IJMET) 9(11), 1755–1780 (2018)
Al-Sarawi, S., Anbar, M., Alieyan, K., Alzubaidi, M.: Internet of Things (IoT) communication protocols. In: 2017 8th International Conference on Information Technology (ICIT), pp. 685–690. IEEE (2017)
Hamdaoui, Y., Maach, A.: An intelligent islanding selection algorithm for optimizing the distribution network based on emergency classification. In: 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1–7. IEEE (2017)
Ma, T., Yang, H., Lu, L.: A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island. Appl. Energy 121, 149–158 (2014)
Pang, C., Dutta, P., Kezunovic, M.: BEVs/PHEVs as dispersed energy storage for V2B uses in the smart grid. IEEE Trans. Smart Grid 3, 473–482 (2012)
Kiviluoma, J., Meibom, P.: Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles. Energy 36, 1758–1767 (2011)
Hamdaoui, Y., Maach, A.: Prosumers integration and the hybrid communication in smart grid context. In: Networked Systems. LNCS, vol. 9466. Springer, Cham (2015)
Hamdaoui, Y., Maach, A.: A cyber-physical power distribution management system for smart buildings. In: Innovations in Smart Cities and Applications. Lecture Notes in Networks and Systems (LNNS), vol. 37, pp, 538–550 Springer, Cham (2017)
Hamdaoui, Y., Maach, A.: Optimized energy management of electric vehicles connected to microgrid. In: Advanced Intelligent Systems for Sustainable Development, vol. 34. Springer, Cham (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Bendriss, Y., Hamdaoui, Y., Guerouate, F. (2021). An Intelligent Power Distribution Management with Dynamic Selection in Smart Building Based on Prosumers Classification and an Intelligent Controller. In: Masrour, T., El Hassani, I., Cherrafi, A. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Lecture Notes in Networks and Systems, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-030-53970-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-53970-2_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-53969-6
Online ISBN: 978-3-030-53970-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)