Automatic Power Factor Enhancement System Utilizing Arduino

Year : 2024 | Volume :14 | Issue : 01 | Page : 19-24
By

Sonali Ghodake

Aishwarya Dhale

Arpita Dubal

Swapnali Ghogare

  1. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Korti, Pandharpur Maharashtra India
  2. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Korti, Pandharpur Maharashtra India
  3. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Korti, Pandharpur Maharashtra India
  4. Student Department of Electrical Engineering, SKN Sinhgad College of Engineering Korti, Pandharpur Maharashtra India

Abstract

This paper presents the design and implementation of an automatic power factor enhancement system using Arduino. The system is designed to improve the power factor of an AC load by automatically adjusting the connection of power factor correction capacitors based on real-time measurements. The Arduino microcontroller is used to measure the power factor of the load using a current sensor and a voltage sensor. Based on the measured power factor, the Arduino calculates the required capacitance for power factor correction and switches the appropriate capacitors into the circuit. The system is implemented and tested on a laboratory setup, and the results demonstrate significant improvement in power factor, leading to reduced reactive power consumption and improved overall efficiency of the system. The proposed system offers a cost-effective and efficient solution for power factor correction in various applications.

Keywords: Automatic power factor correction, arduino, embedded systems, system efficiency enhancement, power system performance improvement

[This article belongs to Journal of Nuclear Engineering & Technology(jonet)]

How to cite this article: Sonali Ghodake, Aishwarya Dhale, Arpita Dubal, Swapnali Ghogare. Automatic Power Factor Enhancement System Utilizing Arduino. Journal of Nuclear Engineering & Technology. 2024; 14(01):19-24.
How to cite this URL: Sonali Ghodake, Aishwarya Dhale, Arpita Dubal, Swapnali Ghogare. Automatic Power Factor Enhancement System Utilizing Arduino. Journal of Nuclear Engineering & Technology. 2024; 14(01):19-24. Available from: https://journals.stmjournals.com/jonet/article=2024/view=151694

References

  1. Swapnil Takale, and; Dr. Altaaf Mulani. (2022). DWT-PCA based Video Watermarking. Journal of Electronics, Computer Networking and Applied Mathematics (JECNAM) ISSN : 2799-1156, 2(06), 1–7.
  2. Swapnil Takale, Dr. Altaaf Mulani, “Video Watermarking System”, International Journal for Research in Applied Science and; Engineering Technology (IJRASET),
  3. Patale, J. P., Jagadale, A. B., Mulani, A. O., and; Pise, A. (2023). A Systematic survey on Estimation of Electrical Vehicle. Journal of Electronics, Computer Networking and Applied Mathematics (JECNAM) ISSN, 2799-1156.
  4. Mulani, A. O., Jadhav, M. M., and; Seth, M. (2022). Painless machine learning approach to estimate blood glucose level with non-invasive devices. In Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications (pp. 83-100). CRC Press.
  5. Kondekar, R. P., and; Mulani, A. O. (2017). Raspberry Pi based voice operated Robot. International Journal of Recent Engineering Research and Development, 2(12), 69-76.
  6. Maske, Y., Jagadale, A. B., Mulani, A. O., and; Pise, A. C. (2023). Development of BIOBOT System to Assist COVID Patient and Caretakers. European Journal of Molecular and Clinical Medicine, 3472-3480.
  7. Maske, Y., Jagadale, M. A., Mulani, A. O., and; Pise, M. A. (2021). Implementation of BIOBOT System for COVID Patient and Caretakers Assistant Using IOT. International Journal of Information Technology and;Amp, 30-43.
  8. Jadhav, H. M., Mulani, A., and; Jadhav, M. M. (2022). Design and development of chatbot based on reinforcement learning. Machine Learning Algorithms for Signal and Image Processing, 219-229.
  9. Gadade, B., and; Mulani, A. (2022). Automatic System for Car Health Monitoring. International Journal of Innovations in Engineering Research and Technology, 57-62.
  10. Kamble, A., and; Mulani, A. O. (2022). Google assistant based device control. Int. J. of Aquatic Science, 13(1), 550-555.
  11. Mandwale, A., and; Mulani, A. O. (2015, January). Different Approaches for Implementation of Viterbi decoder. In IEEE International Conference on Pervasive Computing (ICPC).
  12. Mulani, A. O., Jadhav, M. M., and; Seth, M. (2022). Painless Non‐invasive blood glucose concentration level estimation using PCA and machine learning. The CRC Book entitled Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications. Internet of Things (IoT) and Smart Materials for Energy Applications.
  13. Boxey, A., Jadhav, A., Gade, P., Ghanti, P., and; Mulani, A. O. (2022). Face Recognition using Raspberry Pi. Journal of Image Processing and Intelligent Remote Sensing (JIPIRS) ISSN 2815-0953.
  14. Takale, S., and; Mulani, D. A. Video Watermarking System. International Journal for Research in Applied Science and; Engineering Technology (IJRASET), 10.
  15. Shinde, M. R. S., and; Mulani, A. O. (2015). Analysisof Biomedical Image Using Wavelet Transform. International Journal of Innovations in Engineering Research and Technology, 2(7), 1-7.
  16. Mandwale, A., and; Mulani, A. O. (2014, December). Implementation of Convolutional Encoder and; Different Approaches for Viterbi Decoder. In IEEE International Conference on Communications, Signal Processing Computing and Information technologies.
  17. Ghodake, R. G., and; Mulani, A. O. (2018). Microcontroller Based Automatic Drip Irrigation System. In Techno-Societal 2016: Proceedings of the International Conference on Advanced Technologies for Societal Applications (pp. 109-115). Springer International Publishing.
  18. Mulani, A. O., and; Mane, P. B. (2016), “Fast and Efficient VLSI Implementation of DWT for Image Compression”, International Journal of Control Theory and Applications, 9(41), pp.1006-1011.
  19. Shinde, R., and; Mulani, A. O. (2015). Analysis of Biomedical Image‖. International Journal on Recent and; Innovative trend in technology (IJRITT).
  20. Patale, J. P., Jagadale, A. B., Mulani, A. O., and; Pise, A. (2022). Python Algorithm to Estimate Range of Electrical Vehicle. Telematique, 7046-7059.
  21. Utpat, V. B., Karande, D. K., and; Mulani, D. A. Grading of Pomegranate Using Quality Analysis‖. International Journal for Research in Applied Science and; Engineering Technology (IJRASET), 10.
  22. Mulani, A. O., Jadhav, M. M., and; Seth, M. (2022). Painless Non‐invasive blood glucose concentration level estimation using PCA and machine learning. The CRC Book entitled Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.
  23. Mandwale, A., and; Mulani, A. O. (2016). Implementation of High Speed Viterbi Decoder using FPGA. International Journal of Engineering Research and; Technology﴾ IJERT.
  24. Kambale, A. (2023). Home Automation Using Google Assistant. UGC care approved journal, 32(1).
  25. Sawant, R. A., and; Mulani, A. O. Automatic PCB Track Design Machine. International Journal of Innovative Science and Research Technology, 7(9).
  26. ABHANGRAO, M. R., JADHAV, M. S., GHODKE, M. P., and; MULANI, A. Design And Implementation Of 8-bit Vedic Multiplier. JournalNX, 24-26.
  27. Seth, M. (2022). Painless Machine learning approach to estimate blood glucose level of Non-Invasive device. Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications.
  28. Korake, D. M., and; Mulani, A. O. (2016). Design of Computer/Laptop Independent Data transfer system from one USB flash drive to another using ARM11 processor. International Journal of Science, Engineering and Technology Research.
  29. Mulani, A. O., Birajadar, G., Ivković, N., Salah, B., and; Darlis, A. R. (2023). Deep learning based detection of dermatological diseases using convolutional neural networks and decision trees. Treatment du Signal, 40(6), 2819-2825.
  30. Pathan, A. N., Shejal, S. A., Salgar, S. A., Harale, A. D., and; Mulani, A. O. (2022). Hand Gesture Controlled Robotic System. Int. J. of Aquatic Science, 13(1), 487-493.
  31. Altaf O. Mulani. (2024). A Comprehensive Survey on Semi-Automatic Solar-Powered Pesticide Sprayers for Farming. Journal of Energy Engineering and Thermodynamics (JEET) ISSN 2815-0945, 4(02), 21–28. https://doi.org/10.55529/jeet.42.21.28
  32. Sandeep Kedar and A. O. Mulani (2024), IoT Based Soil, Water and Air Quality Monitoring System for Pomegranate Farming, NATURALISTA CAMPANO, Vol. 28, Issue 1.
  33. Bhanudas Gadade, A O Mulani and A.D.Harale (2024). IOT Based Smart School Bus and Student Monitoring System. NATURALISTA CAMPANO, Vol. 28, Issue 1.
  34. Anil Dhanawade, A. O Mulani and Anjali. C. Pise. (2024). Smart farming using IOT based Agri BOT. NATURALISTA CAMPANO, Vol. 28, Issue 1.
  35. Shweta Sadanand Salunkhe and Dr. Altaf O. Mulani. (2024). Solar Mount Design Using High-Density Polyethylene. NATURALISTA CAMPANO, Vol. 28, Issue 1.
Regular Issue Subscription Review Article
Volume 14
Issue 01
Received May 4, 2024
Accepted June 3, 2024
Published June 10, 2024
Views: 41