𝐏&𝐎 𝐌𝐏𝐏𝐓 𝐟𝐨𝐫 𝐖𝐢𝐧𝐝 𝐄𝐧𝐞𝐫𝐠𝐲 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐰𝐢𝐭𝐡 𝐆𝐫𝐢𝐝 𝐢𝐧 𝐌𝐀𝐓𝐋𝐀𝐁

𝐏&𝐎 𝐌𝐏𝐏𝐓 𝐟𝐨𝐫 𝐖𝐢𝐧𝐝 𝐄𝐧𝐞𝐫𝐠𝐲 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐰𝐢𝐭𝐡 𝐆𝐫𝐢𝐝 𝐢𝐧 𝐌𝐀𝐓𝐋𝐀𝐁

𝐏&𝐎 𝐌𝐏𝐏𝐓 𝐟𝐨𝐫 𝐖𝐢𝐧𝐝 𝐄𝐧𝐞𝐫𝐠𝐲 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐰𝐢𝐭𝐡 𝐆𝐫𝐢𝐝 is a MATLAB/Simulink-based renewable energy model designed to extract maximum power from a wind turbine and inject the generated power into the grid.

This model is suitable for students, researchers, and engineers who want to understand wind energy conversion, PMSG operation, P&O MPPT control, DC-link regulation, grid inverter control, and power quality analysis in MATLAB.

𝐒𝐲𝐬𝐭𝐞𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

The system consists of a wind turbine, PMSG generator, diode rectifier, boost converter, DC link, single-phase inverter, LCL filter, and grid.

𝐒𝐞𝐜𝐭𝐢𝐨𝐧	𝐃𝐞𝐭𝐚𝐢𝐥𝐬
Software Platform	MATLAB/Simulink
Renewable Source	Wind Energy
Generator	PMSG
Rectifier	Diode Rectifier
Converter	Boost Converter
MPPT Method	P&O MPPT
DC Link	400 V
Inverter	Single-Phase Grid-Tied Inverter
Filter	LCL Filter
Grid Connection	Grid-Integrated Operation

𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬

1. The wind turbine receives wind speed, generator speed, and pitch angle as input signals.

2. The wind turbine is connected to a PMSG generator.

3. The PMSG converts mechanical wind energy into electrical energy.

4. The AC output of the PMSG is converted into DC using a diode rectifier.

5. The rectified DC output is given to the boost converter.

6. The boost converter is controlled using the P&O MPPT method.

7. The P&O MPPT controller extracts maximum available power from the wind energy system.

8. The boosted DC output is connected to the DC link.

9. The DC-link voltage is maintained around 400 V.

10. The grid-tied inverter converts DC power into AC power.

11. The inverter output is connected to the grid through an LCL filter.

12. The generated wind power is injected into the grid with sinusoidal current waveform.

𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲

The system uses two major control sections.

𝐏&𝐎 𝐌𝐏𝐏𝐓 𝐂𝐨𝐧𝐭𝐫𝐨𝐥

The P&O MPPT controller measures the following signals:

1. Rectifier voltage

2. Rectifier current

Based on these inputs, the controller generates a duty cycle. This duty cycle is processed through a PWM generator to control the MOSFET switch of the boost converter.

The main purpose of P&O MPPT control is:

1. Maximum power extraction from the wind turbine

2. Efficient power transfer to the DC link

3. Stable operation under changing wind speed

4. Better utilization of available wind energy

𝐆𝐫𝐢𝐝 𝐈𝐧𝐯𝐞𝐫𝐭𝐞𝐫 𝐂𝐨𝐧𝐭𝐫𝐨𝐥

The inverter is controlled using a feedforward decoupling control concept.

The inverter control process includes:

1. Grid voltage measurement

2. PLL-based phase angle generation

3. Inverter current conversion into d-q form

4. Grid voltage conversion into d-q form

5. DC-link voltage control

6. d-axis current control

7. q-axis current control

8. PWM pulse generation for inverter switches

The q-axis reference is maintained at zero. Therefore, the system mainly transfers real power to the grid, while the reactive power is maintained close to zero.

𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬

𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫	𝐕𝐚𝐥𝐮𝐞 / 𝐃𝐞𝐭𝐚𝐢𝐥
Software	MATLAB/Simulink
Wind Turbine Rating	3 kW
Generator Type	PMSG
MPPT Method	P&O MPPT
Converter	Boost Converter
Inverter	Single-Phase Grid-Tied Inverter
Filter	LCL Filter
DC-Link Voltage	400 V
Initial Wind Speed	12 m/s
Changed Wind Speed	10.8 m/s
Wind Speed Change Time	After 1 second
Pitch Angle	0
Grid Frequency	50 Hz
Reactive Power Reference	Zero
THD Analysis Start Time	0.3 seconds

𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬

The simulation results show that the grid-integrated wind energy conversion system works effectively under wind speed variation.

𝐎𝐮𝐭𝐩𝐮𝐭	𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐭𝐢𝐨𝐧
Rectifier Power	Around 3 kW before wind speed reduction
Boost Converter Power	Follows rectifier power response
DC-Link Voltage	Maintained around 400 V
Inverter Current	Reduces after wind speed reduction
Grid Current	In phase with grid voltage
Real Power	Injected into the grid
Reactive Power	Maintained close to zero
THD	Around 1.x%
Power Quality	THD less than 5%

𝐏𝐨𝐰𝐞𝐫 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

The THD is checked using the Powergui FFT Analysis Tool in MATLAB/Simulink.

𝐈𝐭𝐞𝐦	𝐃𝐞𝐭𝐚𝐢𝐥
Analysis Tool	Powergui FFT Analysis
Signal Checked	Inverter current or grid current
Fundamental Frequency	50 Hz
THD Value	Around 1.x%
THD Limit	Less than 5%
Result	Acceptable power quality

The inverter current and grid current are sinusoidal. The grid voltage and current are in phase, which confirms real power injection into the grid.

𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬

1. Complete grid-integrated wind energy system in MATLAB

2. PMSG-based wind energy conversion

3. Diode rectifier for AC to DC conversion

4. P&O MPPT-based boost converter control

5. Stable DC-link voltage regulation

6. Feedforward decoupling-based inverter control

7. PLL-based grid synchronization

8. Real power injection into the grid

9. Reactive power maintained close to zero

10. THD analysis using FFT tool

11. Suitable for learning grid-connected renewable energy control

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

1. Grid-connected wind energy system analysis

2. Renewable energy control system learning

3. P&O MPPT implementation for wind energy

4. PMSG-based wind turbine simulation

5. Grid-tied inverter control study

6. DC-link voltage regulation analysis

7. Power quality and THD evaluation

8. MATLAB/Simulink training for renewable energy systems

𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐨𝐝𝐞𝐥 𝐈𝐬 𝐔𝐬𝐞𝐟𝐮𝐥

This simulation model helps learners understand the complete operation of a grid-connected wind energy conversion system.

The model clearly explains:

1. How wind speed variation affects power generation

2. How P&O MPPT extracts maximum wind power

3. How the boost converter transfers power to the DC link

4. How DC-link voltage is maintained around 400 V

5. How the grid inverter injects power into the grid

6. How PLL and d-q control support grid synchronization

7. How THD can be checked using FFT analysis

𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧

𝐏&𝐎 𝐌𝐏𝐏𝐓 𝐟𝐨𝐫 𝐖𝐢𝐧𝐝 𝐄𝐧𝐞𝐫𝐠𝐲 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐰𝐢𝐭𝐡 𝐆𝐫𝐢𝐝 in MATLAB provides a clear and practical simulation platform for studying grid-connected wind energy systems.

The system maintains the DC-link voltage around 400 V, injects real power into the grid, reduces current according to wind speed variation, and achieves low THD below 5%.

This model is highly useful for learning PMSG wind generation, P&O MPPT, boost converter control, grid-tied inverter control, and power quality analysis in MATLAB/Simulink.

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