ESP32-Based Smart Power Factor Correction and Load Balancing

Project Code :TEMBMA3820

Objective

The main objective of this project is to develop an ESP32-Based Smart Power Factor Correction and Load Balancing System that enhances electrical efficiency by monitoring and automatically correcting the power factor in real time. It intelligently balances connected loads to reduce energy losses and prevent overloading. The project focuses on creating a prototype that demonstrates real-time monitoring, automatic correction, and smart power management using IoT technology.

Abstract

The ESP32-Based Smart Power Factor Correction and Load Balancing system is designed to monitor electrical parameters and improve energy efficiency. The system uses a PZEM sensor to measure voltage, current, power, energy consumption, and power factor. An ESP32 microcontroller processes the collected data and uploads it to an IoT platform for remote monitoring. Based on power factor variations and load conditions, relays automatically control connected loads such as 100W and 200W bulbs and a ventilation motor to achieve load balancing. A CPU fan is activated for cooling purposes when required, and a buzzer provides alerts during abnormal operating conditions. The system helps reduce power losses, improve energy utilization, and maintain stable electrical performance.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware components:                                                            

  • ESP32 Microcontroller
  • Arduino
  • LCD Display
  • PZEM Module
  • Relay Module
  • 100W Bulb
  • 200W Bulb
  • Ventilation Motor
  • CPU Fan
  • Buzzer
  • ESP32
  • Power Supply
  • 12V Adapter
  • Connectors – 30

Software components:

  • Embedded C
  • Arduino IDE

Learning Outcomes

·         Understanding ESP32 pin diagram and architecture

·         Installing and configuring Arduino IDE for ESP32

·         Setting up sensors and IoT platforms for autonomous robots

·         Introduction to programming and control using Arduino IDE

·         Basic coding for motor and sensor integration

·         Working with ultrasonic sensors and IP camera for navigation

·         Interfacing motor drivers and DC motors with ESP32

·         Implementing IoT-based monitoring and remote control

·         Understanding power management for mobile robotic systems

·         About Project Development Life Cycle:

o   Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)

o   Schematic preparation

o   Code development and debugging

o   Hardware development and debugging

o   Development of the Project and Output testing

·         Practical exposure to:

o   Hardware and software tools.

o   Solution providing for real time problems.

o   Working with team/ individual.

o   Work on Creative ideas.

·         Project development Skills:

o   Problem analyzing skills

o   Problem solving skills

o   Creativity and imaginary skills

o   Programming skills

o   Deployment

o   Testing skills

o   Debugging skills

o   Project presentation skills

o   Thesis writing skills

 

Demo Video

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