Three Phase grid connected PV wind Battery system in MATLAB | PV Wind battery system in matlab
Three Phase grid connected PV wind Battery system in MATLAB | PV Wind battery system in matlab
Introduction:
Welcome to LMS Solution! In today's discussion, we will delve into the intricacies of a three-phase connected solar PV, wind, and battery energy storage system. This comprehensive model encompasses various components, including PV panels, wind turbines, battery storage, a bidirectional converter, and a three-phase grid-connected inverter. Let's explore the key elements and control strategies implemented in this simulation model.
Wind Turbine and Permanent Magnet Synchronous Generator (PMSG):
The model features a wind turbine connected to a Permanent Magnet Synchronous Generator (PMSG). The PMSG's specifications include a rated torque of 24 Newton-meters, a rated voltage of 2300 RPM, and a maximum loading of 41.4 Newton-meters. The wind turbine pitch angle, wind speed, and generator speed are crucial inputs for generating the mechanical torque applied to the PMSG.
Boost Converter and Maximum Power Point Tracking (MPPT):
The PMSG output is connected to a boost converter, which increases the voltage from the diode rectifier's output to 700 volts. Additionally, MPPT algorithms are applied to both the wind and solar PV systems to extract maximum power efficiently. Incremental conductance MPPT is utilized for the wind turbine, while the solar PV system uses incremental conductance MPPT with a focus on voltage and current changes.
Solar PV System:
The solar PV system consists of panels connected in series and parallel to achieve a desired voltage. Incremental conductance MPPT is employed to optimize power extraction from the PV panels. The generated power is then fed into the common DC bus.
Battery Storage System and Bidirectional Converter:
The battery storage system comprises 35 batteries, each rated at 12 volts. A bidirectional converter is employed to manage the charging and discharging of the batteries. The converter is controlled by measuring the DC bus voltage, and the power direction is determined based on power balance conditions.
Three-Phase Grid Integration:
The common DC bus is connected to a three-phase inverter, which interfaces with the grid. DQ control is implemented for the inverter, with reference current generation based on the PV current and battery state of charge. Power is either drawn from the grid or fed back into the grid, depending on the system's power balance.
Control Strategies and Display:
The system utilizes various control strategies, including DQ current control for the inverter, voltage control for the bidirectional converter, and MPPT algorithms for both wind and solar systems. Irradiation and wind speed conditions are dynamically changed in the simulation to showcase the system's adaptability.
Results and Observations:
The simulation results demonstrate the system's ability to adapt to changing conditions, with power balance maintained between the grid, PV, wind, and battery components. The displayed measurements include PV and wind power, battery state of charge, DC bus voltage, and grid inverter currents.
Conclusion:
This integrated three-phase solar PV, wind, and battery system model exemplifies a comprehensive approach to renewable energy generation and storage. The effective utilization of control strategies ensures optimal power extraction and distribution. For a detailed understanding, refer to the simulation results in the accompanying video.
Closing Remarks:
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