Smart Grid System Using IoT

Sajad Ahmad Wani; Krishna Tomar

doi:10.55524/

Authors

Sajad Ahmad Wani M. Tech. Scholar, Department of Electrical Engineering, RIMT University, Mandi Gobindgarh, Punjab India Author
Krishna Tomar Assistant Professor, Department of Electrical Engineering, RIMT University, Mandi Gobindgarh, Punjab India Author

DOI:

https://doi.org/10.55524/

Keywords:

Smart Grid, Internet of things (IOT) Smart Grid, Data Security, Smart Buildings, Communication Technologies, Raspberry Pi

Abstract

Smart Grid is a flexible Electric Grid, Communication and IT systems that can monitor the flow of energy from production areas to utility areas (even down to the level of electrical equipment) and control the flow of energy or reduce load to keep pace with real or near generation. Real-time smart Grids can be achieved through effective transfer and distribution systems, system functionality, customer integration, and renewable integration. Intelligent grid solutions help to monitor, measure, and control the flow of energy in real-time which can contribute to the detection of losses and thus take appropriate technical and administrative measures to capture losses. Electricity is an important invention otherwise life on Earth would not be possible. It is therefore clear that there is a need to measure the electricity used. A wattmeter is achieved, but a person from TNEB should visit each customer's house to measure energy consumption and calculate customer debt. So it requires a lot of manual labor and is time-consuming. We aim to build an IoT-based power meter for each TNEB customer. So the proposed energy meter measures the amount of energy used and uploads it to the Thitspeak cloud the affected person can view the reading. Power reading is sent to the cloud using ESP 8266, a Wi-Fi module. Power readings in a digital wattmeter are read using coupler opt and transmitted digitally to Arduino. So it automatically performs the process of measuring domestic energy use using IoT and thereby enables remote access and digitalization for each TNEB customer.

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References

S. Li, L. Da Xu, and S. Zhao, “The internet of things: a survey,” Inf. Syst. Front., vol. 17, no. 2, pp. 243–259, 2015. [2] L. Atzori, A. Iera, and G. Morabito, “The Internet of Thinags: A survey,” Comput. Networks, vol. 54, no. 15, pp. 2787– 2805, 2010.

R. Khan, S. U. Khan, R. Zaheer, and S. Khan, “Future internet: The internet of things architecture, possible

applications and key challenges,” Proc. - 10th Int. Conf. Front. Inf. Technol. FIT 2012, pp. 257–260, 2012.

A. Whitmore, A. Agarwal, and L. Da Xu, “The Internet of Things. A survey of topics and trends,” Inf. Syst. Front., vol. 17, no. 2, pp. 261–274, 2015.

A. Chemudupati, S. Kaulen, M. Mertens, S. Murli Mohan,P. Reynaud, F. Robin, S. Zimmermann, White Paper “The convergence of IT and Operational Technology”,Atos Scientific Community’s IT/OT Convergence. 2012

Stamatis Karnouskos,"The cooperative Internet of Things enabled Smart Grid",SAP Research,Vincenz-Priessnitz Strasse 1, D-76131, Karlsruhe, Germany,2013.

V. Dehalwar, R. K. Baghel, M. Kolhe. Multi-Agent based Public Key Infrastructure for Smart Grid, The 7thInternational Conference on Computer Science & Education (ICCSE 2012) July, 2012. Melbourne, Australia.

Montoya M., Sherick R., Haralson P., Neal R., Yinger R, “ Islands in the storm. IEEE Power & Energy Magazine, pp.33-39” 2013.

C. Wang, X. Li, Y. Liu, and H. Wang, “The Research on Development Direction and Points in IoT in China Power Grid,” in International Conference on Information Science, Electronics and Electrical Engineering (ISEEE), vol. 1, 2014, pp. 245–248.

X. Chen, L. Sun, H. Zhu, Y. Zhen, and H. Chen, “Application of Internet of Things in Power-Line Monitoring,” in International Conference on Cyber Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012, pp. 423–426

A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internet of Things for Smart Cities,” IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22–32, 2014R. E. Sorace, V. S. Reinhardt, and S. A. Vaughn, “High-speed digital-to-RF converter,” U.S. Patent 5 668 842, Sept. 16, 1997.

Das, H.S., et al.: Electric vehicles standards, charging infrastructure, and impact on grid integration: a technological review. Renew. Sustain. Energy Rev. 120, 109618 (2020)

Reyes García, J.R., et al.: State of the art of mobility as a Service (MaaS) ecosystems and architectures—An overview of, and a definition, ecosystem and system architecture for electric mobility as a service (eMaaS).World Electr. Veh. J. 11(1), 7 (2020)

Liu, T., et al.: Adaptive hierarchical energy management design for a plug-in hybrid electric vehicle. IEEE Trans. Veh. Technol. 68(12), 11513–11522(2019)

Nunna, H.K., et al.: Multiagent-Based energy trading platform for energy storage systems in distribution systems with interconnected microgrids.IEEE Trans. Ind. Appl. 56(3), 3207–3217 (2020)

Gunduz, MZ., Das, R.: Cyber-security on smart grid: threats and potential solutions. Comput. Netw. 169, 107094 (2020) [17] Chhaya, L., et al.: Cybersecurity for smart grid: threats, solutions and standardization. In: Bhoi, A., Sherpa, K., Kalam, A., Chae, G.S. (eds.) Advances in Greener Energy Technologies, pp. 17–29. Springer, Singapore (2020) [18] Wang, K., et al.: IEEE access special section editorial: the internet of energy: architectures, cyber security, and applications. IEEE Access 679272–79275 (2018

Bauer, G., et al.: On-demand automotive fleet electrification can catalyze global transportation DE carbonization and smart urban mobility. Environ. Sci. Technol. 54, 7027–7033 (2020)