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, different 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!