Abstract:

This project presents the design and implementation of a hybrid power generation system, incorporating a microcontroller for optimal energy management and automated control.

The system integrates multiple energy sources and features a mechanism to enhance efficiency by adjusting component positioning based on real-time measurements.

Battery voltage is monitored and displayed on an LCD screen. Additionally, energy usage is managed based on the time of day to ensure efficient power consumption.

This approach maximizes energy generation and optimizes the use of available resources, demonstrating a practical solution for renewable energy management in hybrid systems.

The implementation details, including sensor integration, control algorithms, and system performance, are discussed.

• Optimize Energy Generation: Develop a hybrid power generation system that effectively integrates solar and wind energy sources to maximize overall energy output. This includes designing mechanisms to ensure efficient operation of both solar panels and windmills.
• Enhance Solar Panel Efficiency: Implement a dynamic solar panel adjustment system that uses real-time light intensity measurements to automatically position the solar panel for optimal sunlight exposure throughout the day. This aims to improve the efficiency of solar energy capture and utilization.
• Monitor and Manage Battery Performance: Integrate a battery management system that continuously monitors the battery’s voltage and displays it in real time. This objective ensures that the battery operates within safe voltage limits and contributes to effective energy storage and utilization.
• Control Energy Consumption: Develop and implement automated control mechanisms to manage energy loads based on the time of day. This includes using relays to switch 12V LED loads on or off depending on daylight availability, thereby optimizing energy consumption and extending battery life.
• Evaluate System Performance: Assess the performance and reliability of the hybrid power generation system through comprehensive testing and analysis. This objective includes evaluating the efficiency of energy generation, solar panel adjustment, battery management, and load control to provide insights into the system's effectiveness and potential improvements.