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PSO Tuned ANFIS MPPT for Grid connected PV System

PSO Tuned ANFIS MPPT for Grid connected PV System

Introduction:

Greetings, viewers! Today, at LMS Solution, we're diving into the intricacies of a simulation model designed for a grid-connected Photovoltaic (PV) system using a Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm tuned by Particle Swarm Optimization (PSO). Let's explore the components, controls, and results of this fascinating system.


System Components:

PV Array:

  • Rating: 96 kW

  • Configuration: 18 parallel strings, each with 25 series-connected panels.

PV Inverter:

  • Single-stage converter for grid connection.

  • Controlled by PSO-tuned P&O MPPT and voltage/current control logic.

Coupling Inductor:

  • Essential for seamless power transfer between the PV array and the grid.

Grid and Local Load:

  • Integrates the grid for power exchange.

  • Local load draws power, and excess power is sent back to the grid.

PSO-Tuned P&O MPPT and Voltage/Current Control Logic:

MPPT Algorithm:

  • PSO Tuning: Utilizes PSO to optimize the P&O MPPT algorithm.

  • Parameters: Radiation and temperature.

Voltage and Current Control Logic:

  • Ensures efficient power extraction and grid integration.

  • Calculates DC link current, load current, and grid current.

Simulation Execution:

PSO Training:

  • PSO is employed to fine-tune the P&O MPPT algorithm.

  • Iterative process results in an optimized control system.

Simulation Results:

  • Initial conditions: Irradiation at 1000 W/m².

  • Power extraction: Achieves a maximum of 95.8 kW.

  • Voltage stability: Maintained around 725 volts.

  • Grid power exchange: 50 kW to local load, excess to the grid.

  • Irradiation changes to 500 W/m² after 2 seconds.

  • Power decreases to 48.5 kW due to reduced irradiation.

  • Voltage and grid power dynamically adjust.

In-Depth Analysis:

Grid Interaction:

  • Local load supplied with priority.

  • Excess power sent back to the grid.

  • Grid current dynamically adjusts based on load and irradiation.

Adaptive Control:

  • PSO-tuned P&O MPPT ensures optimal power extraction.

  • Voltage and current control logic adapts to varying conditions.

Conclusion:

This simulation model effectively demonstrates the synergy of PSO-tuned P&O MPPT and voltage/current control logic in a grid-connected PV system. The adaptive nature of the controls ensures efficient power extraction and optimal grid interaction.

Future Explorations:

Further exploration of control parameters, diff

erent irradiation scenarios, and load variations can provide insights into system behavior under diverse conditions. The MATLAB code provides a robust foundation for practical implementation and experimentation.

Thank you for joining us in unraveling the complexities of PSO-Tuned P&O MPPT in a grid-connected PV system. Subscribe to our channel and hit the bell icon for more insightful tutorials. Until next time, farewell!

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