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PV Wind Battery Based DC Microgrid PO MPPT in MATLAB

PV Wind Battery Based DC Microgrid PO MPPT in MATLAB


Introduction:

We delve into a simulation model featuring an integrated PV (Photovoltaic), wind, and battery-based DC microgrid. This model illustrates the dynamic behavior of a sustainable energy system, combining power generation from solar and wind sources with energy storage capabilities. Let's delve into the components and operational aspects of this simulation.

Simulation Model Components:

  1. Wind Power Generation:

  • Features a Permanent Magnet Synchronous Generator (PMSG) coupled with a wind turbine model.

  • Utilizes a Universal Bridge and Boost Converter to convert the generated AC power to DC.

  • Boost converter is controlled by a Perturb and Observe Maximum Power Point Tracking (P&O MPPT) algorithm to optimize wind power extraction.

  • Three inputs, including wind speed, generated speed, and pitch angle, influence the wind turbine model.

  1. Photovoltaic Power Generation:

  • Consists of an array of solar panels connected in series and parallel.

  • A Boost Converter is employed to step up the voltage from the PV panels.

  • Similar to wind power, a P&O MPPT algorithm is applied for maximum power extraction.

  1. Battery Energy Storage System:

  • A bidirectional converter connects the battery to the DC bus.

  • Voltage control of the converter is facilitated by a Proportional-Integral (PI) controller, maintaining the DC bus voltage at a set level.

  • The battery ensures power balance and continuity in supply during fluctuations in renewable energy generation.

  1. DC Microgrid:

  • The DC bus serves as the common platform for integrating power from wind, PV, and battery sources.

  • Load demand is met by the collective contribution of wind, PV, and battery systems.

Simulation Dynamics:

  1. Wind Power Operation:

  • Wind turbine model dynamically adjusts to wind speed variations.

  • P&O MPPT algorithm optimizes the boost converter for maximum power extraction.

  • The generated power is injected into the DC microgrid.

  1. PV Power Operation:

  • Solar panels respond to varying irradiation levels.

  • P&O MPPT algorithm adjusts the boost converter for optimal power conversion.

  • Extracted power contributes to the DC microgrid.

  1. Battery Operation:

  • Bidirectional converter ensures charging and discharging based on the power balance.

  • PI controller maintains DC bus voltage, supporting stability in the microgrid.

  1. System Response to Changing Conditions:

  • Simulation accounts for changes in wind speed and irradiation levels.

  • Results showcase the adaptability of the microgrid to varying environmental conditions.

Simulation Results:

  1. Power Generation:

  • PV and wind systems operate at maximum power points.

  • Battery operations demonstrate dynamic charging and discharging patterns.

  1. DC Bus Voltage Control:

  • PI controller effectively maintains the DC bus voltage at the desired level.

  1. Load Supply:

  • Load demand is met through the collective contribution of wind, PV, and battery systems.

Conclusion:

This simulation model exemplifies the efficacy of an integrated PV, wind, and battery-based DC microgrid. The combination of renewable energy sources and energy storage enhances grid stability and resilience.

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