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Hybrid Fuzzy PO MPPT for Solar PV System

Hybrid Fuzzy PO MPPT for Solar PV System

System Overview

The model incorporates a 250-watt PV panel with specific electrical characteristics:

• Open circuit voltage: 37.3 volts

• Voltage at maximum power point: 30.7 volts

• Short circuit current: 8.6 amps

• Current at maximum power point: 8.15 amps

PV Panel Characteristics

• Maximum power output varies with irradiance levels:

• 1000 W/mÂ²: 250 watts

• 800 W/mÂ²: 199.9 watts

• 600 W/mÂ²: 149.6 watts

• 400 W/mÂ²: 98.97 watts

• 200 W/mÂ²: 48.37 watts

Hybrid Fuzzy P&O MPPT System Design

The hybrid system integrates two MPPT algorithms: Fuzzy MPPT and Perturb and Observe (P&O) MPPT, utilizing their respective strengths to optimize power extraction from the PV panel.

1. Components

• Boost Converter: Positioned between the PV panel and the load, serves as a modulator to adjust the power output.

• MPPT Algorithms:

• Fuzzy MPPT: Uses fuzzy logic to dynamically adjust the boost converter's duty cycle based on real-time PV panel voltage and current.

• P&O MPPT: Alters the duty cycle based on changes in PV panel voltage and power, aiming to track the maximum power point.

1. Hybridization Approach

• Combining Algorithms: The hybrid approach merges the outputs of Fuzzy MPPT and P&O MPPT through an averaging mechanism to optimize the boost converter's duty cycle.

• Manual Switching: Allows selection between pure Fuzzy MPPT, pure P&O MPPT, or the hybrid mode based on operational needs and environmental conditions.

Operation of Hybrid Fuzzy P&O MPPT

• Fuzzy MPPT Operation:

• Receives PV panel voltage and current.

• Applies fuzzy logic rules to determine the boost converter's duty cycle, adapting to varying irradiance levels and environmental conditions.

• P&O MPPT Operation:

• Perturbs the operating point to observe changes in power output.

• Adjusts the boost converter's duty cycle based on the direction of power change, aiming to track the maximum power point.

• Hybrid Mode:

• Combines outputs of Fuzzy and P&O MPPT algorithms.

• Averages the duty cycles to optimize power extraction efficiency under dynamic irradiance conditions.

Simulation and Comparison Results

• Hybrid Fuzzy P&O MPPT: Efficiently reaches and maintains the maximum power point.

• Fuzzy MPPT: Provides competitive performance but with higher transient effects.

• P&O MPPT: Demonstrates steady-state performance with occasional oscillations.

• Hybrid vs. Individual Algorithms: Hybrid system shows reduced transient effects and quicker response compared to standalone algorithms.

• Comparative Analysis: Evaluates rise time, steady-state behavior, and power extraction efficiency under changing conditions.

1. Simulation Insights:

• Transitional Dynamics: Hybrid system minimizes oscillations and transient responses during irradiance fluctuations.

• Steady-State Performance: Maintains stable power extraction closer to theoretical maximum under varying environmental conditions.

Conclusion

The Hybrid Fuzzy P&O MPPT system offers an advanced solution for maximizing power output from solar PV systems. By combining the adaptive capabilities of Fuzzy MPPT with the robust tracking mechanism of P&O MPPT, the system optimizes energy harvesting efficiency across different irradiance scenarios.