Distributed Load Shedding in Energy Distribution System with IoT

Year : 2024 | Volume :14 | Issue : 02 | Page : –
By

Ananda Krishnan P. H.,

Defeo Sackson,

Hari Krishna K. S.,

Sreehari Prasad,

Reshma S.,

Sonima. M. P.,

  1. Student Department of Electrical and Electronics Engineering, College of Engineering, Kidangoor, Kottayam Kerala India
  2. Student Department of Electrical and Electronics Engineering, College of Engineering, Kidangoor, Kottayam Kerala India
  3. Student Department of Electrical and Electronics Engineering, College of Engineering, Kidangoor, Kottayam Kerala India
  4. Student Department of Electrical and Electronics Engineering, College of Engineering, Kidangoor, Kottayam Kerala India
  5. Assistant Professor Department of Electrical and Electronics Engineering, College of Engineering, Kidangoor, Kottayam Kerala India
  6. Assistant Professor Department of Electrical and Electronics Engineering, College of Engineering, Kidangoor, Kottayam Kerala India

Abstract

This project is designed to develop a modern power distribution and control system which is a very thoughtful one in reducing unwanted power usage in modern times. It is a microcontroller operated system where we fix a maximum power limit for each consumer. Night time is considered to be the peak time for energy consumption, to be precise from 6pm to 11 pm. Here we program the microcontroller to cut off the supply when someone uses more power than a pre-set threshold limit. If the consumer connects more load than the threshold limit, it will alert him for a certain time and then automatically cut off the supply. The system also has cloud access to the authority’s server so that they can monitor
each consumer and can manage the connection and disconnection of the power supply. We program the microcontroller to monitor the load, whether it is inside the set limit. Here, we use a current and voltage sensor to calculate the unit of power consumption which will be varied according to the load connected. Microcontroller calculates the unit and amount according to the input pulses from the sensors. An LCD is interfaced for the visual display of unity and amount. A buzzer is connected to the controller to alert the over usage and the load relay will cut off if the usage remains above threshold. The controller can access the server since it has Wi-Fi connectivity. Every second the reading from each consumer.

Keywords: LCD, Microcontroller, Wi-Fi connectivity, Buzzer, Modern power distribution, energy sources, environmental concerns, Electrical Base Station,

[This article belongs to Trends in Electrical Engineering(tee)]

How to cite this article: Ananda Krishnan P. H., Defeo Sackson, Hari Krishna K. S., Sreehari Prasad, Reshma S., Sonima. M. P.. Distributed Load Shedding in Energy Distribution System with IoT. Trends in Electrical Engineering. 2024; 14(02):-.
How to cite this URL: Ananda Krishnan P. H., Defeo Sackson, Hari Krishna K. S., Sreehari Prasad, Reshma S., Sonima. M. P.. Distributed Load Shedding in Energy Distribution System with IoT. Trends in Electrical Engineering. 2024; 14(02):-. Available from: https://journals.stmjournals.com/tee/article=2024/view=167483



References

  1. S. Saleh, P. Pijnenburg, and E. Castillo-Guerra, “Load Aggregation From Generation- Follows-Load to Load-Follows- Generation: Residential Loads,” IEEE Transactions on Industry Applications, vol. 53, pp. 833-842, 2017.
  2. Abhishek J Kumar, Hamal Thomas Paul, Muhammed Rasheed, Sudev V. K., Ninu Joy. “Dynamic Load Shedding Management with IoT”. IJCRT. June 2023; 11(6):2320-2882.
  3. P. Guo, V. O. Li, and J. C. Lam, “Smart demand response in China: Challenges and drivers,” Energy Policy, vol. 107, pp. 1- 10, 2017.
  4. Y. Tang, M. Li, and Q. Wang, “A framework of theoretical research on load control in grid cyber physical system,” in Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2016 IEEE International Conference on, 2016, pp. 72-76.
  5. Awad AS, El-Fouly TH, Salama MM. Optimal distributed generation allocation and load shedding for improving distribution system reliability. Electric Power Components and Systems. 2014 Apr 26;42(6):576-84.
  6. Hirodontis S, Li H, Crossley PA. Load shedding in a distribution network. In2009 International Conference on Sustainable Power Generation and Supply 2009 Apr 6 (pp. 1-6). IEEE.
  7. Mahat P, Chen Z, Bak-Jensen B. Underfrequency load shedding for an islanded distribution system with distributed generators. IEEE transactions on Power Delivery. 2009 Nov 17;25(2):911-8.
  8. Rwegasira D, Dhaou IB, Kakakhel S, Westerlund T, Tenhunen H. Distributed load shedding algorithm for islanded microgrid using fog computing paradigm. In2020 6th IEEE International Energy Conference (ENERGYCon) 2020 Sep 28 (pp. 888-893). IEEE.
  9. Gu W, Liu W, Zhu J, Zhao B, Wu Z, Luo Z, Yu J. Adaptive decentralized under-frequency load shedding for islanded smart distribution networks. IEEE Transactions on Sustainable Energy. 2014 Apr 9;5(3):886-95.
  10. Paul S, Padhy NP. A new real time energy efficient management of radial unbalance distribution networks through integration of load shedding and cvr. IEEE Transactions on Power Delivery. 2021 Sep 14;37(4):2571-86.
  11. Zheng GL, Zhang L, Chi JW. Study on internet of things electric system based on distributed smart terminals in demand side management. Технічна електродинаміка. 2016(2):69-77.
  12. Bashir N, Sharani Z, Qayyum K, Syed AA. Delivering smart load-shedding for highly stressed grids. In2015 IEEE International Conference on Smart Grid Communications (SmartGridComm) 2015 Nov 2 (pp. 852-858). IEEE.
  13. Faranda R, Pievatolo A, Tironi E. Load shedding: A new proposal. IEEE transactions on power systems. 2007 Oct 29;22(4):2086-93.

Regular Issue Subscription Original Research
Volume 14
Issue 02
Received June 19, 2024
Accepted July 19, 2024
Published August 16, 2024

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