PSO Tuned ANFIS MPPT for Grid connected PV System
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.
Rating: 96 kW
Configuration: 18 parallel strings, each with 25 series-connected panels.
Single-stage converter for grid connection.
Controlled by PSO-tuned P&O MPPT and voltage/current control logic.
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:
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.
PSO is employed to fine-tune the P&O MPPT algorithm.
Iterative process results in an optimized control system.
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.
Local load supplied with priority.
Excess power sent back to the grid.
Grid current dynamically adjusts based on load and irradiation.
PSO-tuned P&O MPPT ensures optimal power extraction.
Voltage and current control logic adapts to varying conditions.
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.
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!