Perturb and Observe (P&O) MPPT in MATLAB
Автор: LMS Solution
Загружено: 2022-09-24
Просмотров: 16561
Perturb and Observe (P&O) MPPT in MATLAB/Simulink | Step-by-Step Implementation with PV Buck Converter
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This work presents the MATLAB/Simulink implementation of the Perturb and Observe (P&O) MPPT algorithm applied to a 250 W PV array integrated with a DC–DC buck converter. The PV array parameters and converter design values are derived from ripple-based equations. The P&O algorithm dynamically adjusts the duty cycle of the converter’s MOSFET to ensure continuous tracking of the maximum power point under variable irradiance. Simulation results demonstrate that the system extracts ~250 W at 1000 W/m² and ~125 W at 500 W/m², while regulating the DC load voltage to 15 V. The study confirms that P&O is simple and efficient but exhibits oscillatory behavior around MPP, suggesting scope for hybrid or adaptive MPPT enhancements.
⚡ Specifications Table
PV Panel (250 W)
Vmpp = 30.7 V, Impp = 8.15 A
Voc = 37.3 V, Isc = 8.66 A
Buck Converter
Input: 30.7 V
Output: 15 V
Switching frequency: 10 kHz
Inductor: 4.5×10⁻⁴ H
Capacitor: 1.392×10⁻⁵ F
Load Resistance: 0.898 Ω
MPPT Control
Algorithm: Perturb & Observe (P&O)
Duty cycle step (ΔD): 0.005
Initial Duty Cycle: 0.5
PWM: 10 kHz
📊 Simulation Results (Highlights)
At 1000 W/m²: ~250 W, Vmp = 30.7 V, I ≈ 8.1 A
At 500 W/m²: ~125 W, Vmp = 30.5 V, I ≈ 4 A
DC Load Voltage: Stable at 15 V across conditions
Dynamic Response: Oscillations observed at irradiance transitions; minimized with smaller ΔD and larger filter capacitor.
THD (FFT analysis): Voltage distortion less than0.2%; current ripple higher during irradiance change.
🔎 Discussion Points
✅ Advantages: Easy implementation, stable for slow-varying irradiance, near-maximum efficiency.
⚠️ Limitations: Oscillations near MPP, slower adaptation under fast irradiance change.
🚀 Future Scope: Hybrid P&O-INC, ANN-based MPPT, or fuzzy controllers for improved performance.
#mppt #mpptchargecontroller #pvsystem #solarpv #matlab #simulink
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