Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Microwave Engineering and Technology
Received Date: 10/08/2024
Acceptance Date: 10/17/2024
Published On: 2024-10-27
First Page: 12
Last Page: 23

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By: Akshay Bharat Dimbar, Bhushan Kadam, and Dipesh Pardeshi

1.Akshay Bharat Dimbar, Student, Department of Electrical Engineering , Sanjivani College of Engineering, Kopargaon,Maharashtra, India
2. Bhushan Kadam ,Student, Department of Electrical Engineering , Sanjivani College of Engineering, Kopargaon,Maharashtra, India
3.Dipesh Pardeshi,HOD, Department of Electrical Engineering , Sanjivani College of Engineering, Kopargaon,Maharashtra, India

Abstract

Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be resolved electronically without human intervention. This project’s goal is to deliver a method for investigating electricity theft and surveillance that will enable criminals to be caught in remote locations. The design includes effective solutions to problems faced by many countries’ distribution models, such as electricity theft and liability. It includes microcontroller-based fixed technology and wireless communication methods to detect power theft and faulty transmission lines. Since collecting metrics from all users for the billing process is difficult and time-consuming, this process uses Global System for Mobile (GSM) based technology Urine to submit and send metrics. Many problems related to meter reading and theft detection are eliminated by issuing warnings through search warrants or notifications to specially authorized people. The proposed perfect was virtual and tested on the MATLAB/Simulink stage.

Keywords— Energy Meter, Proposed model, Latching Relay, GSM, Microcontroller, RF Receiver, Wireless Communication, smart energy metering, Power Theft, electricity theft control.

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Citation:

How to cite this article: Akshay Bharat Dimbar, Bhushan Kadam, and Dipesh Pardeshi, Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller. International Journal of Microwave Engineering and Technology. 2024; 10(02): 12-23p.

How to cite this URL: Akshay Bharat Dimbar, Bhushan Kadam, and Dipesh Pardeshi, Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller. International Journal of Microwave Engineering and Technology. 2024; 10(02): 12-23p. Available from:https://journalspub.com/publication/ijmet/article=12300

Refrences:

  1. Ask K, Singh NK, Singh AK, Singh DK, Anand K. Design and simulation of smart prepaid-postpaid energy meter with alarm and theft control. In 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). IEEE; 2018. pp. 1–6.
  2. Xia T, Liu C, Zheng X, Lei M, Wang S, Wang Y. Research on field testing method of digital energy meters based on digital reference meter with high accuracy. In 2018 2nd IEEE. 2018.
  3. Yip SC, Tan CK, Tan WN, Gan MT, Bakar AHA. Energy theft and defective meters detection in AMI using linear regression. In 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). IEEE; 2017. pp. 1–6.
  4. Dukare SI, Bankar AS, Chobe PS, Pardeshi DB, William P. Smart-Charge-Pro: Innovating energy metering and monitoring for sustainable EV stations. 2023 4th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India. 2023:119–123. doi: 10.1109/ICOSEC58147.2023.10275866.
  5. Salve R, Paik S, Kalaskar P, Urunkar R, Sable S, William P. Analysis of the Cloudlet’s performance using machine learning with cloud management system. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates. 2023:01–05. doi: 10.1109/ICCAKM58659.2023.10449634.
  6. Kolpe DR, Lakare SV, Narode SK, Kolpe PS, Vasant MP, William P. Enhancing trust and privacy in edge and cloud computing through blockchain technology. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates. 2023:1–6. doi: 10.1109/ICCAKM58659.2023.10449566.
  7. Chaudhari SA, Ahire NB, Jagtap VJ, Shinde PS, William P. design of blockchain models for the identifications of harmful attack activities in industrial internet of things (IIOT). 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates. 2023:01–07. doi: 10.1109/ICCAKM58659.2023.10449607.
  8. Young M. The Technical Writer’s Handbook. Mill Valley, CA: University Science; 1989.
  9. Prathik M, Anitha K, Anitha V. Smart energy meter surveillance using IoT. In 2018 International conference on power, energy, control and transmission systems (ICPECTS). IEEE; 2018. pp. 186–189.
  10. Ahmed NAS, Shaari H, Emhemmed AS. Design, modelling and implementation of smart grid using PROTEUS and Arduino. In 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA. IEEE; 2021. pp. 618–622.
  11. Gungor VC, Hancke GP, Hancke J. The role of smart grids in the renewable energy integration: An overview. IEEE Trans Industr Inform. 2010;7(4):589–599.
  12. William P, Chinthamu N, Chiranjivi M, Vijaya Lakshmi TR, Kumar R, Marriwala NK. Assessment of wireless sensor networks integrated with various cluster-based routing protocols. In: Marriwala NK, Dhingra S, Jain S, Kumar D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems; vol 915. Singapore: Springer; 2024. doi: 10.1007/978-981-97-0700-3_49.
  13. Ghige O, William P. Revolutionizing safety: An Arduino-IoT system for accident prevention based on innovative practices. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024:1–6. doi: 10.1109/ICIPTM59628.2024.10563964.
  14. Bhatane GA, Gond VJ, Chaudhari SV, William P. Real time performance monitoring of solar PV panel IoT system for energy optimization. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024:1–4. doi: 10.1109/ICIPTM59628.2024.10563559.
  15. William P, Chowdhury S, Falah A, Hussain A, Kumar R, Rao ALN. Security enhancement in Iot based smart grid system using cryptographic techniques. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024:1–6. doi: 10.1109/ICIPTM59628.2024.10563264.
  16. Lin L, Guo L, Lin H, Lu H. Electricity market equilibrium model considering retail price based on prepaid and postpaid tariff. IEEE Trans Power Syst. 2017;32(6):4674–4684.
  17. Ibarra D, Garramiola F, Arzuaga FJ, Alegre E, Olazabal J, López DJ. Development of an advanced system for non-technical losses detection. IEEE Trans Industr Inform. 2017;13(4):1983–1992.
  18. Zhang Y, Yin X, Chen X, Guo M, Li C. Novel smart grid anti-theft technology based on IEC 60870-5-104. IEEE Trans Industr Inform. 2018;14(7):3105–3115.
  19. Ghose D, Kar S, Chakraborty C. Implementation of smart prepaid energy meter using GSM technology. Procedia Comput Sci. 2018;132:96–102.
  20. Samui P, Kim D. A simulation model for prepaid electricity meter to reduce electricity theft in smart grids. Sustain Cities Soc. 2017;30:100–107.

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