Authors :
Bhong Bhagyashri Ashok; Thombare Ankita Dilip; Bandgar Namrata Manoj; T. V. Deokar
Volume/Issue :
Volume 10 - 2025, Issue 10 - October
Google Scholar :
https://tinyurl.com/2tvzxj7m
Scribd :
https://tinyurl.com/5635ttw6
DOI :
https://doi.org/10.38124/ijisrt/25oct125
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Abstract :
The increasing demand for electrical energy in modern distribution systems necessitates efficient monitoring of load
flow for reliable operation and energy management. This project focuses on the real-time load flow monitoring of a distribution
system by analyzing the behavior of two representative loads: a purely resistive load (incandescent bulb) and a resistive–
inductive (RL) load (single-phase table fan motor). The study aims to measure, monitor, and analyze key electrical parameters
such as voltage, current, power factor, real power, reactive power, and apparent power under varying operating conditions. By
comparing the characteristics of resistive and RL loads, the project highlights the impact of inductive components on power
factor and energy consumption in the distribution network. The proposed system employs sensors and microcontroller-based
data acquisition to provide accurate and real-time monitoring, enabling better decision-making for energy efficiency and power
quality improvement. This work is expected to serve as a reference model for load behavior analysis, demand side management,
and smart distribution system applications.
Keywords :
Real Time Load Flow Monitor (RTLFM); Distribution System; R Load; RL Load; Energy Efficiency; Power Quality.
References :
- S. Niloy, F. H. Sumona, M. H. Khan, M. Z. Islam, S. Ahmad, and S. Howlader, “Solar Powered Smart Irrigation System Based on Internet of Things (IoT) Using Microcontroller,” in Proc. 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 2023, pp. 259–263
- J. F. Riya, Md. T. H. Chowdhury, S. A. Usha, S. Howlader, S. Ahmad, and M. Z. Islam, “A Smart Helmet: Ensuring Safety of Bike Riders,” in Proc. 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 2023, pp. 305–31O.
- S. Ahmad, W. Chek Leong, M. Saad, S. Arghya, and A. Tariful, “IoTbased scalable Smart Home Automation System Design using Raspberry Pi,” in Proc. 11th AUN/SEED-Net Regional Conference on Computer and Information Engineering, Indonesia, 2018, pp. 1–6.
- S. Ahmad et al., “Smart home automation and security system design based on IoT applications,” ASEAN Engineering Journal, vol. 9, no. 2, pp. 57–71, Dec. 2019.
- Z. Tang and Y. Zou, “Condition Monitoring System for Circuit Breaker Based on Substation Automation System,” in Proc. 41st International Universities Power Engineering Conference, 2006.
The increasing demand for electrical energy in modern distribution systems necessitates efficient monitoring of load
flow for reliable operation and energy management. This project focuses on the real-time load flow monitoring of a distribution
system by analyzing the behavior of two representative loads: a purely resistive load (incandescent bulb) and a resistive–
inductive (RL) load (single-phase table fan motor). The study aims to measure, monitor, and analyze key electrical parameters
such as voltage, current, power factor, real power, reactive power, and apparent power under varying operating conditions. By
comparing the characteristics of resistive and RL loads, the project highlights the impact of inductive components on power
factor and energy consumption in the distribution network. The proposed system employs sensors and microcontroller-based
data acquisition to provide accurate and real-time monitoring, enabling better decision-making for energy efficiency and power
quality improvement. This work is expected to serve as a reference model for load behavior analysis, demand side management,
and smart distribution system applications.
Keywords :
Real Time Load Flow Monitor (RTLFM); Distribution System; R Load; RL Load; Energy Efficiency; Power Quality.