Sliding Mode-based PSO MPPT
Simulink Model Overview
The Simulink model used for testing the sliding mode controller based PSO MPPT includes:
A 250 watts PV panel with specific characteristics: 37.3V open circuit voltage, 30.7V maximum power point voltage, 8.66A short circuit current, and 8.5A maximum power point current.
Boost converter interfacing the PV panel and load, acting as a power modulator for optimal power extraction.
PSO MPPT Controller Design
Description of PSO MPPT Controller Operation
Utilizes Particle Swarm Optimization algorithm to dynamically generate reference voltage based on PV panel voltage (Vpv) and current (Ipv).
Compares the generated reference voltage with actual PV panel voltage to determine error.
Sliding mode controller adjusts the duty cycle of the boost converter based on error and its rate of change, ensuring maximum power point tracking.
Key Features
Efficiently tracks maximum power across different irradiance levels (1000, 800, 600, and 400 watts per square meter) by adjusting reference voltage dynamically.
Maintains stability and optimizes power extraction even during rapid changes in irradiance.
Testing Conditions Explanation
The Simulink model is tested under two main conditions to evaluate its performance:
Change in Irradiance Condition with Constant Load
Irradiance levels vary every 0.2 seconds (from 1000 to 400 watts per square meter), while the load remains constant.
Analyzing PV voltage, current, and power to validate maximum power extraction under varying irradiance.
Change in Load Condition with Constant Irradiance
Irradiance level is kept constant, while the load is introduced into the system after 0.3 seconds.
Examining PV and load voltage, current, and power to assess the controller's response to sudden load changes.
Simulation Results
Results for Change in Irradiance Condition with Constant Load
PV Voltage: Maintains stability around 30.7V, varying slightly with changes in irradiance.
PV Current: Adjusts dynamically to optimize power extraction across different irradiance levels.
PV Power: Achieves maximum power output corresponding to each irradiance level (250.2W for 1000 watts per square meter, 199.9W for 800 watts per square meter, and so on).
Results for Change in Load Condition with Constant Irradiance
Demonstrates robust performance as the load is introduced, maintaining efficient power extraction.
PV and load currents adjust accordingly, ensuring maximum power point tracking despite load variations.
Conclusion
The sliding mode controller based PSO MPPT proves effective in optimizing solar PV system performance under dynamic conditions of irradiance and load. By integrating PSO algorithm with sliding mode control, it achieves stable and efficient power extraction from PV panels, enhancing overall system reliability and performance.
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