An Iot-Based Method for Managing Power Grids in Smart Way

Authors

  • Semra Gündüç Ankara University, computer Engineering Department.
  • Saif Ali Gaeed Ankara University, computer Engineering Department.

Keywords:

No Keywords

Abstract

System designers find it difficult to reduce power consumption. High power consumption leads to higher temperatures, affecting performance and reliability. Increasing energy prices and concerns regarding the impact of electronic systems on the environment highlight the importance of low power consumption. Smart grids are emerging as a new side of the power industry. They incorporate advanced technologies and solve many problems, but continue to face readiness challenges. A new technology called the Internet of Things (IoT) is making it possible to monitor and manage electricity consumption, wherever a variety of different technologies are utilized, including IoT cloud platforms. In this research, smart grid and IoT technologies are used to build a power management system. It is also discussed how the system functions and is automated. Through the design of a system that detects voltage, current, and weather conditions and gathers data to warn consumers in advance of power usage problems, A system is proposed to monitor power consumption by consumers and control power usage by electrical devices. According to the data, it is possible to enhance the system in the future according to the region in which it is located, and reduce loads by preparing the system accordingly.

Downloads

Download data is not yet available.

References

Al-Badi, Abdullah, Razzaqul Ahshan, Nasser Hosseinzadeh, Reza Ghorbani, and Eklas Hossain. 2020. “Survey of Smart Grid Concepts and Technological Demonstrations Worldwide Emphasizing on the Oman Perspective.” Applied System Innovation 3 (1): 5. https://doi.org/10.3390/asi3010005.

Bruno, S., S. Lamonaca, La Scala, M. Rotondo, and G. Stecchi. 2009. “Load Control through Smartmetering on Distribution Networks.” In Proceedings of The, 1–8.

Chen, Siyun, Ting Liu, Feng Gao, Jianting Ji, Zhanbo Xu, Buyue Qian, Hongyu Wu, and Xiaohong Guan. 2017. “Butler, Not Servant: A Human-Centric Smart Home Energy Management System.” IEEE Communications Magazine 55 (2): 27–33. https://doi.org/10.1109/mcom.2017.1600699cm.

Collotta, Mario, and Giovanni Pau. 2017. “An Innovative Approach for Forecasting of Energy Requirements to Improve a Smart Home Management System Based on BLE.” IEEE Transactions on Green Communications and Networking 1 (1): 112–20. https://doi.org/10.1109/tgcn.2017.2671407.

Dai, Renchang, Guangyi Liu, and Xing Zhang. 2020. “Transmission Technologies and Implementations: Building a Stronger, Smarter Power Grid in China.” IEEE Power & Energy Magazine 18 (2): 53–59. https://doi.org/10.1109/mpe.2019.2957623.

Danbatta, Salim Jibrin, and Asaf Varol. 2019. “Comparison of Zigbee, Z-Wave, WI-Fi, and Bluetooth Wireless Technologies Used in Home Automation.” In 2019 7th International Symposium on Digital Forensics and Security (ISDFS). IEEE.

Eridani, Dania, Adian Fatchur Rochim, and Faiz Noerdiyan Cesara. 2021. “Comparative Performance Study of ESP-NOW, WI-Fi, Bluetooth Protocols Based on Range, Transmission Speed, Latency, Energy Usage and Barrier Resistance.” In 2021 International Seminar on Application for Technology of Information and Communication (ISemantic). IEEE.

Fatima, Noshin, Tahseen Amin Qasuria, and Mohd Adib Ibrahim. 2020. “A Brief Review on Smart Grid Residential Network Schemes.” Sains Malaysiana 49 (12): 2989–96. https://doi.org/10.17576/jsm-2020-4912-10.

Grier, David Alan. 2020. “Pervasive Ideals.” Computer 53 (8): 68–70. https://doi.org/10.1109/mc.2020.2996696.

Hasan, Mohammad Kamrul, Musse Mohamud Ahmed, Bishwajeet Pandey, Hardik Gohel, Shayla Islam, and Izzul Fitrie Khalid. 2021. “Internet of Things-Based Smart Electricity Monitoring and Control System Using Usage Data.” Wireless Communications and Mobile Computing 2021: 1–16. https://doi.org/10.1155/2021/6544649.

Hu, Qinran, Fangxing Li, and Chien-Fei Chen. 2015. “A Smart Home Test Bed for Undergraduate Education to Bridge the Curriculum Gap from Traditional Power Systems to Modernized Smart Grids.” IEEE Transactions on Education 58 (1): 32–38. https://doi.org/10.1109/te.2014.2321529.

Kumar, Neeraj, Sherali Zeadally, and Subhas C. Misra. 2016. “Mobile Cloud Networking for Efficient Energy Management in Smart Grid Cyber-Physical Systems.” IEEE Wireless Communications 23 (5): 100–108. https://doi.org/10.1109/mwc.2016.7721748.

Li, Wen-Tai, Chau Yuen, Naveed Ul Hassan, Wayes Tushar, Chao-Kai Wen, Kristin L. Wood, Kun Hu, and Xiang Liu. 2015. “Demand Response Management for Residential Smart Grid: From Theory to Practice.” IEEE Access: Practical Innovations, Open Solutions 3: 2431–40. https://doi.org/10.1109/access.2015.2503379.

Luechaphonthara, Korakot, and Vijayalakshmi. 2019. “IOT Based Application for Monitoring Electricity Power Consumption in Home Appliances.” International Journal of Electrical and Computer Engineering (IJECE) 9 (6): 4988. https://doi.org/10.11591/ijece.v9i6.pp4988-4992.

Maharjan, Sabita, Quanyan Zhu, Yan Zhang, Stein Gjessing, and Tamer Basar. 2016. “Demand Response Management in the Smart Grid in a Large Population Regime.” IEEE Transactions on Smart Grid 7 (1): 189–99. https://doi.org/10.1109/tsg.2015.2431324.

Matusiak, B. E., and J. S. Zieliński. 2014. “Internet of Things in Smart Grid Environment.” Rynek Energii, no. 3: 115–19.

Meng, Ke, Zhao Yang Dong, Zhao Xu, Yu Zheng, and David J. Hill. 2019. “Coordinated Dispatch of Virtual Energy Storage Systems in Smart Distribution Networks for Loading Management.” IEEE Transactions on Systems, Man, and Cybernetics. Systems 49 (4): 776–86. https://doi.org/10.1109/tsmc.2017.2690911.

Ray, Partha Pratim. 2016. “A Survey of IoT Cloud Platforms.” Future Computing and Informatics Journal 1 (1–2): 35–46. https://doi.org/10.1016/j.fcij.2017.02.001.

Reddy, R. Ravinder, Ch Mamatha, and R. Govardhan Reddy. 2018. “A Review on Machine Learning Trends, Application and Challenges in Internet of Things.” In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE.

Sevier, Seth, and Ali Tekeoglu. 2019. “Analyzing the Security of Bluetooth Low Energy.” In 2019 International Conference on Electronics, Information, and Communication (ICEIC). IEEE.

Tagle, Sean, Rica Pena, Frances Oblea, Hans Benoza, Nadine Ledesma, Jeremias Gonzaga, and Laurence A. Gan Lim. 2018. “Development of an Automated Data Acquisition System for Hydroponic Farming.” In 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM). IEEE.

Yaqoob, Ibrar, Ibrahim Abaker Targio Hashem, Arif Ahmed, S. M. Ahsan Kazmi, and Choong Seon Hong. 2019. “Internet of Things Forensics: Recent Advances, Taxonomy, Requirements, and Open Challenges.” Future Generations Computer Systems: FGCS 92: 265–75. https://doi.org/10.1016/j.future.2018.09.058.

Zafar, Usman, Sertac Bayhan, and Antonio Sanfilippo. 2020. “Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid.” IEEE Access: Practical Innovations, Open Solutions 8: 119271–86. https://doi.org/10.1109/access.2020.3005244.

The elements of the IoT.

Downloads

Published

31.12.2022

How to Cite

Gündüç, S. ., & Gaeed, S. A. . (2022). An Iot-Based Method for Managing Power Grids in Smart Way. International Journal of Intelligent Systems and Applications in Engineering, 10(3s), 227–236. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2433

Issue

Section

Research Article