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MATLAB Simulation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT | 100 kW PV Array
MATLAB Simulation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT | 100 kW PV Array
Purchase Link: https://www.lmssolution.net.in/product-page/100-kw-grid-connected-pv-system-with-fuzzy-and-p-o-mppt-in-matlab
============================================================
100 kW grid-connected solar photovoltaic (PV) system, focusing on the performance comparison between Perturb & Observe (P&O) MPPT and Fuzzy Logic MPPT techniques.
The PV array is designed using 330 W solar panels, configured with 5 series modules and 66 parallel strings, delivering a peak power of approximately 100.7 kW under standard test conditions. The system employs a DC–DC boost converter controlled by MPPT algorithms and a three-level inverter for efficient grid integration.
🔹 What is covered in this video?
Detailed modeling of a 100 kW solar PV array
Fuzzy Logic MPPT design using error and change-in-error
P&O MPPT algorithm implementation
Boost converter duty-cycle generation
DC-link voltage regulation at 500 V
dq-axis decoupled inverter control
Power injection into a 25 kV utility grid
Performance analysis under variable irradiance and temperature
Comparative analysis of PV power, duty cycle, and grid power
Simulation results clearly demonstrate that Fuzzy MPPT achieves faster tracking, reduced oscillations, and higher power extraction compared to conventional P&O MPPT, especially under dynamic environmental conditions.
⚙️ Model Specifications
🔸 PV Array Specifications
Panel rating: 330 W
Series modules per string: 5
Parallel strings: 66
Total peak power: ≈100.7 kW
Irradiance range: 250–1000 W/m²
Temperature range: 25 °C to 50 °C
🔸 DC–DC Converter
Converter type: Boost Converter
Control methods: P&O MPPT / Fuzzy MPPT
Switching control: PWM Generator
Duty-cycle range: 0 – 0.9
🔸 Inverter & Grid Interface
Inverter type: Three-Level Inverter
DC-link voltage: 500 V
Filter: LCL Filter
Transformer: 260 V / 25 kV Step-Up
Control strategy: dq-axis decoupled PI control
Reactive power reference: Iq = 0
🔑 Key Highlights
⚡ 100 kW grid-connected solar PV system modeling
🧠 Advanced Fuzzy Logic MPPT implementation
🔄 Comparative study with P&O MPPT
📉 Reduced power oscillations with fuzzy control
🚀 Faster MPPT tracking under irradiance changes
🔌 Stable DC-link voltage regulation
🌍 Efficient power injection into utility grid
================================================
Whatsapp: https://wa.me/917904458501
Whatsapp: https://wa.me/918838943991
Email Id: support@lmssolution.net
https://www.lmssolution.net.in/contact
#matlabproject #projecteee #imageprocessing eee projects
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Видео MATLAB Simulation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT | 100 kW PV Array канала LMS Solution
Purchase Link: https://www.lmssolution.net.in/product-page/100-kw-grid-connected-pv-system-with-fuzzy-and-p-o-mppt-in-matlab
============================================================
100 kW grid-connected solar photovoltaic (PV) system, focusing on the performance comparison between Perturb & Observe (P&O) MPPT and Fuzzy Logic MPPT techniques.
The PV array is designed using 330 W solar panels, configured with 5 series modules and 66 parallel strings, delivering a peak power of approximately 100.7 kW under standard test conditions. The system employs a DC–DC boost converter controlled by MPPT algorithms and a three-level inverter for efficient grid integration.
🔹 What is covered in this video?
Detailed modeling of a 100 kW solar PV array
Fuzzy Logic MPPT design using error and change-in-error
P&O MPPT algorithm implementation
Boost converter duty-cycle generation
DC-link voltage regulation at 500 V
dq-axis decoupled inverter control
Power injection into a 25 kV utility grid
Performance analysis under variable irradiance and temperature
Comparative analysis of PV power, duty cycle, and grid power
Simulation results clearly demonstrate that Fuzzy MPPT achieves faster tracking, reduced oscillations, and higher power extraction compared to conventional P&O MPPT, especially under dynamic environmental conditions.
⚙️ Model Specifications
🔸 PV Array Specifications
Panel rating: 330 W
Series modules per string: 5
Parallel strings: 66
Total peak power: ≈100.7 kW
Irradiance range: 250–1000 W/m²
Temperature range: 25 °C to 50 °C
🔸 DC–DC Converter
Converter type: Boost Converter
Control methods: P&O MPPT / Fuzzy MPPT
Switching control: PWM Generator
Duty-cycle range: 0 – 0.9
🔸 Inverter & Grid Interface
Inverter type: Three-Level Inverter
DC-link voltage: 500 V
Filter: LCL Filter
Transformer: 260 V / 25 kV Step-Up
Control strategy: dq-axis decoupled PI control
Reactive power reference: Iq = 0
🔑 Key Highlights
⚡ 100 kW grid-connected solar PV system modeling
🧠 Advanced Fuzzy Logic MPPT implementation
🔄 Comparative study with P&O MPPT
📉 Reduced power oscillations with fuzzy control
🚀 Faster MPPT tracking under irradiance changes
🔌 Stable DC-link voltage regulation
🌍 Efficient power injection into utility grid
================================================
Whatsapp: https://wa.me/917904458501
Whatsapp: https://wa.me/918838943991
Email Id: support@lmssolution.net
https://www.lmssolution.net.in/contact
#matlabproject #projecteee #imageprocessing eee projects
project eee
matlab projects
phd projects
matlab eee projects
Видео MATLAB Simulation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT | 100 kW PV Array канала LMS Solution
MATLAB Simulation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT MATLAB Implementation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT Simulation of 100 kW Grid Connected PV System with Fuzzy and P&O MPPT 100 kW Grid Connected PV System with Fuzzy and P&O MPPT Fuzzy and P&O MPPT 100 kW PV system Grid Connected PV System with Fuzzy and P&O MPPT 100 kW Grid Connected PV solar pv grid connected pv array PO MPPT Fuzzy MPPT
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