Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review

Year : 2024 | Volume : 02 | Issue : 02 | Page : 1 9
    By

    Prasad Bansode,

  • Debraj Bhowmick,

  • D. B. Pardeshi,

  1. Student, Department of Electrical Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India.
  2. Student, Department of Electrical Engineering Sanjivani College of Engineering, Kopargaon, Maharashtra, India.
  3. HOD, Department of Electrical Engineering Sanjivani College of Engineering, Kopargaon, Maharashtra,, India.

Abstract

Future-generation intelligent optimisation in electrical system design is essential for managing electrical networks and distribution systems. It also requires interoperability variations in the implementation of physical or graphical models. The Internet of Things (IoT) plays a significant role in smart grids and distributed electricity systems. IoT enables the monitoring of the smart grid’s electrical energy and facilitates the integration of real-time data into electrical grid architecture at various levels. Industrial automation is managed by IoT, making the Smart Grid and IoT reliable tools for analysing and tracking electrical statistics in the U.S. Currently, smart city technologies and infrastructure are leveraging IoT to upgrade SCADA systems and integrate remote controls based on microcontrollers. Smart grids offer enhanced grid reliability, efficient energy distribution, and real-time monitoring through IoT integration. This analysis examines the core components of IoT in smart grids, focusing on its applications, architecture, challenges, and operational conditions. Additionally, the report underscores the role of IoT in enabling a sustainable future and modernising energy infrastructure.

Keywords: Smart grid, IoT, smart city, power grid, microcontroller, electrical energy, sustainable development

[This article belongs to International Journal of Electrical Machine Analysis and Design ]

How to cite this article:
Prasad Bansode, Debraj Bhowmick, D. B. Pardeshi. Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review. International Journal of Electrical Machine Analysis and Design. 2024; 02(02):1-9.
How to cite this URL:
Prasad Bansode, Debraj Bhowmick, D. B. Pardeshi. Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review. International Journal of Electrical Machine Analysis and Design. 2024; 02(02):1-9. Available from: https://journals.stmjournals.com/ijemad/article=2024/view=185744


References

  1. Ghasempour Internet of things in smart grid: Architecture, applications, services, key technologies, and challenges. Inventions. 2019; 4(1): 22.
  2. Saleem Yasir, Noel Crespi, Mubashir Husain Rehmani, Rebecca Copeland. Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions. Ieee 2019; 7: 62962–63003.
  3. Burhade P, Khumkar G, Pardeshi DB, William Assessment based on Performance of Harmonics and Asymmetry in Extra High Voltage Systems. 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India. 2023; 01–03. doi: 10.1109/ICIRCA57980.2023.10220933.
  4. Chavan PK, Autade SB, Pardeshi DB, William Environmental Impact of Extra High Voltage Systems in Switch Yard Transmission Lines. 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India. 2023; 1714–1718. doi: 10.1109/ICIRCA57980.2023.10220635.
  5. Nikam TS, Pawar SA, Porwal D, Pardeshi DB, William Implementation of Bluetooth Based Cargobot Using Controlled Arduino Robocar. 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India. 2023; 1548–1553. doi: 10.1109/ICPCSN58827.2023.00258.
  6. Aher NA, Mulik CS, Porwal D, Pardeshi DB, William Hybrid Model to Address Software Controlled Arduino Robocar Using Advanced Computing Technique. 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India. 2023; 1651–1655. doi: 10.1109/ICPCSN58827.2023.00276.
  7. Kabalci Yasin, Ersan Kabalci, Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Frede Blaabjerg. Internet of things applications as energy internet in smart grids and smart environments. 2019; 8(9): 972.
  8. Fadlullah, Zubair Md, Al-Sakib Khan Pathan, Karan Singh. Smart grid internet of things. Mobile Netw 2018; 23(4): 879–880.
  9. Kirmani S, Mazid A, Khan IA, Abid M. A survey on IoT-enabled smart grids: Technologies, architectures, applications, and challenges. Sustainability. 2022;15:717. DOI: 10.3390/su15010717.
  10. William P, Singh R, Al-Samalek A, Hussain A, Badhoutiya A, Rao A Dynamic Energy-Aware Cloudlet-Based Mobile Cloud Computing Model for Green Computing. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024; 1–6. doi: 10.1109/ICIPTM59628.2024.10563792.
  11. SRS, Narayanan CSS, RG, PS, Alagarsamy M, William Fuel Quantity and Quality Detection in Automobiles Using IoT. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024; 1–6. doi: 10.1109/ICIPTM59628.2024.10563735.
  12. Dinesh PM, Alagarsamy M, AKA, Rameshkumar K, Pavithra G, William Gesture Controlled Vehicle for Armed Service. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024; 1–6. doi: 10.1109/ICIPTM59628.
    2024.10563743.
  13. Dinesh PM, Kumar Govindaraj K, Manivannan N, Paramasivam ME, William P, Alagarsamy Deep Learning-Based Prediction of Knee Innovative Practices. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024; 1–6. doi: 10.1109/ICIPTM59628.2024.10563465.
  14. Chen S, Wen H, Wu J, Lei W, Hou W, Liu W, Xu A, Jiang Y. Internet of things based smart grids supported by intelligent edge computing. IEEE Access. 2019 Jun 3; 7: 74089–
  15. William P, Akanksha Gupta, Darwante NK, Snehal Sumit Gondkar, Apurv Verma, Vijayant Verma. Applications of internet of things in smart grid intelligent systems. In 2022 IEEE International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). 2022; 1175–
  16. Moreno Escobar JJ, Morales Matamoros O, Tejeida Padilla R, Lina Reyes I, Quintana Espinosa H. A comprehensive review on smart grids: Challenges and opportunities. Sensors. 2021;21:6978. DOI: 10.3390/s21216978. PubMed: 34770285.
  17. Quwaider M, Jararweh Y. Cloudlet-based efficient data collection in wireless body area networks. Simulation Modelling Practice and Theory. 2015;50:57–71. DOI: 10.1016/j.simpat.2014.06.015.
  18. Sun H, Yang T, Ding H, Li J, Zhang W. Online measurement of gas and liquid flow rates in wet gas using vortex flowmeter coupled with conductance ring sensor. IEEE Trans Instrum Meas. 2022;71:1–14. DOI: 10.1109/TIM.2021.3129222.
  19. Sudha S, Suresh GR, Sukanesh R. Speckle noise reduction in ultrasound images using context-based adaptive wavelet thresholding. IETE J Res. 2009;55:135–43. DOI: 10.4103/0377-2063.
    54905.
  20. Wang J, Lee S. Attention mechanism in knee osteoarthritis prediction models. IEEE Trans Cybern. 2010;16:500–15.
  21. Srinivas Jangirala, Ashok Kumar Das, Xiong Li, Muhammad Khurram Khan, Minho Jo. Designing anonymous signature-based authenticated key exchange scheme for Internet of Things-enabled smart grid systems. IEEE Trans Industr 2020; 17(7): 4425–4436.
  22. Jiang Aihua, Huihong Yuan, Delong Li, Junyang Tian. Key technologies of ubiquitous power Internet of Things-aided smart grid. J Renewable Sustainable 2019; 11(6): 062702.
Regular Issue Subscription Review Article
Volume 02
Issue 02
Received 31/10/2024
Accepted 14/11/2024
Published 20/11/2024
329

Login


My IP

PlumX Metrics