5 MW Grid Connected PV System With Incremental Conductance MPPT
System Overview:
Our simulation model features a PV array consisting of 11 modules connected in series. Each module has specific ratings, including voltage at maximum power point, current at maximum power point, open-circuit voltage, and short-circuit current. The PV array is integrated into the grid via a boost converter to regulate voltage and maximize power extraction.
Boost Converter Design: The boost converter design is crucial for efficiently managing the voltage output from the PV array. With a DC link voltage maintained at 800 volts, the boost converter is tasked with stepping up the voltage to match the requirements of the grid inverter. Parameters such as Ripple inductor current percentage and Ripple capacitor voltage are carefully selected to ensure optimal performance.
Incremental Conductance in PV Array: To ensure maximum power extraction from the PV array, we employ the incremental conductance method. By continuously monitoring changes in voltage and current, the system dynamically adjusts the operating point to track the maximum power point (MPP) under varying irradiation and temperature conditions.
Grid Inverter and Filter Design: The grid inverter plays a pivotal role in converting the DC output from the PV array into AC power suitable for grid integration. A filter is designed to mitigate harmonics and ensure smooth power delivery to the grid. Control algorithms are implemented to regulate voltage and current at the grid interface.
Simulation Results: During simulation, we observe the system's response to changes in irradiation and temperature. As irradiation increases, the PV array generates higher power output, reaching up to 5 megawatts. The boost converter and grid inverter efficiently manage power flow, maintaining stable grid voltage and current. Variations in modulating signals and power flow between the PV array and the grid are closely monitored.
Conclusion: Through this simulation, we gain valuable insights into the operation and control of large-scale PV systems. The integration of advanced control algorithms and optimization techniques ensures optimal power extraction and grid integration, contributing to the sustainable generation of renewable energy.