Advanced FCS-MPC strategy for optimized control and efficiency in photovoltaic inverters

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Control Theory

Background:

• Grid-connected photovoltaic (PV) systems require advanced control strategies for optimal performance and grid integration.
• Existing control methods face challenges in managing dynamic grid conditions and harmonic distortions.

Purpose of the Study:

• To propose and evaluate an enhanced Finite Control Set Model Predictive Control (FCS-MPC) for grid-connected PV systems.
• To improve control accuracy, reduce harmonic distortion, and enhance transient response.

Main Methods:

• Implementation of a two-step forward prediction scheme within the FCS-MPC framework.
• Optimization of cost functions for improved control performance.
• Simulation of a 1 MW industrial-scale PV system under realistic grid disturbances.

Main Results:

• Achieved an efficiency improvement from 97.63% to 97.73%.
• Reduced voltage Total Harmonic Distortion (THDv) to 2.08%.
• Shortened voltage stabilization time from 0.25s to 0.165s, demonstrating improved transient response.

Conclusions:

• The proposed FCS-MPC strategy offers superior performance compared to conventional methods.
• The enhanced FCS-MPC provides a scalable and robust solution for large-scale PV systems, ensuring grid code compliance and stability.
• The method effectively handles grid faults like voltage sags, maintaining reliable operation.