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PSO Tuned ANFIS MPPT for Grid-connected PV System

PSO Tuned ANFIS MPPT for Grid-connected PV System


Introduction:

In the pursuit of sustainable energy solutions, harnessing solar power for grid-connected systems has gained significant attention. In this blog post, we delve into a simulation model developed for a grid-connected photovoltaic (PV) system, employing PS4 and Face MPPT control strategies. This innovative approach optimizes power generation from PV panels, ensuring efficient utilization of solar energy.

System Overview:

The simulation model comprises essential components such as PV arrays, PV inverters, coupling inductors, and the grid. Additionally, local loads are integrated into the system to demonstrate practical applications. The PV inverter, controlled using PS4 and Face MPPT algorithms, plays a pivotal role in regulating power flow between the PV array and the grid.

PV Panel Configuration:

The PV array consists of individual panels with a rating of 213.5 watts each. These panels are organized into parallel strings, with each string comprising 18 panels arranged in series. This configuration allows for a maximum power output of approximately 96 kilowatts, ensuring efficient utilization of available solar irradiance.

PS4 and Face MPPT Control Logic:

To optimize power generation from the PV array, PS4 and Face MPPT algorithms are employed. The PS4 algorithm dynamically adjusts the duty cycle of the PV inverter based on irradiance and temperature inputs, maximizing power extraction from the PV panels. Additionally, Face MPPT ensures that the PV array operates at its maximum power point under varying environmental conditions.

Control Logic Implementation:

The control logic governing the PV inverter involves measuring various parameters such as PV voltage, PV current, and load current. These measurements are utilized to calculate reference currents for supplying power to the grid. The control logic dynamically adjusts inverter operation to maintain optimal power transfer between the PV array and the grid.

Performance Analysis:

The simulation model allows for comprehensive analysis of system performance under changing irradiance conditions. For instance, during periods of high irradiance (1000 watts per square meter), the PV array generates maximum power output, which is efficiently transferred to the grid. Conversely, during reduced irradiance (500 watts per square meter), the system dynamically adjusts power generation to match demand while minimizing grid dependency.

Conclusion:

The integration of PS4 and Face MPPT control strategies in grid-connected PV systems offers a promising avenue for maximizing solar power utilization. By employing advanced control algorithms, such as PS4 and Face MPPT, solar energy can be efficiently harvested and seamlessly integrated into the grid. This approach not only reduces reliance on traditional energy sources but also contributes to a greener and more sustainable future.

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