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Simulation of Grid Connected PV System with T Type Inverter

 

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Modeling and Simulation of Grid Connected PV System with T Type Inverter

 

Scenario 1: Using SMC Controller
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Step 1: Initially, we will construct the Simulink model of a PV system with boost DC-DC converter, three-level T-type inverter and three-phase grid.

Step 2: Then, we integrate the Sliding Mode Controller (SMC) along with MPPT control in the model.

Step 3: Then, we simulate the model and collect simulated data like voltage, current and powerdata.

Step 4: Next, we analyze system performance such as tracking ability, stability, and disturbance rejection based on collected data.

Step 5: Finally, we plot performance metrics vs. Time:

5.1: Time vs. Voltage (V)
5.2: Time vs. Current (A)
5.3: Time vs. Power (kW)
5.4: Time vs. THD (%)

 

Scenario 2: Using MPC Controller
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Step 1: Initially, we will construct the Simulink model of a PV system with boost DC-DC converter, three-level T-type inverter and three-phase grid.

Step 2: Then, we integrate the Model Predictive Controller (MPC) along with MPPT control in the model.

Step 3: Then, we simulate the model and collect simulated data like voltage, current and powerdata.

Step 4: Next, we analyze system performance such as tracking ability, stability, and disturbance rejection based on collected data.

Step 5: Finally, we plot performance metrics vs. Time:

5.1: Time vs. Voltage (V)
5.2: Time vs. Current (A)
5.3: Time vs. Power (kW)
5.4: Time vs. THD (%)

 

Scenario 3: Using ADRC Controller
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Step 1: Initially, we will construct the Simulink model of a 300 kW PV system with boost DC-DC converter, three-level T-type inverter, filter, and 400 V three-phase grid.

Step 2: Then, we integrate the Active Disturbance Rejection Controller (ADRC) along with MPPT control in the model.

Step 3: Then, we simulate the model and collect simulated data like voltage, current and powerdata.

Step 4: Next, we analyze system performance such as tracking ability, stability, and disturbance rejection based on collected data.

Step 5: Finally, we plot performance metrics vs. Time:

5.1: Time vs. Voltage (V)
5.2: Time vs. Current (A)
5.3: Time vs. Power (kW)
5.4: Time vs. THD (%)

Scenario 4: Using PI Controller
—————————————

 

Step 1: Initially, we will construct the Simulink model of a 300 kW PV system with boost DC-DC converter, three-level T-type inverter, filter, and 400 V three-phase grid.

Step 2: Then, we integrate the PI controller along with MPPT control in the model.

Step 3: Then, we simulate the model and collect simulated data like voltage, current and powerdata.

Step 4: Next, we analyze system performance such as tracking ability, stability, and disturbance rejection based on collected data.

Step 5: Finally, we plot performance metrics vs. Time:

5.1: Time vs. Voltage (V)
5.2: Time vs. Current (A)
5.3: Time vs. Power (kW)
5.4: Time vs. THD (%)

 

Software Requirements:

 

1. Development Tool: MATLAB R2023a/Simulink or above
2. Operating System: Windows-10 (64-bit) or above

 

Note:

 

1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.

2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.

3) If the plan satisfies your requirement, Please confirm with us.

4) Project based on Simulation only.

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