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Advanced control of split source inverter through finite control-set model predictive control for improved system

Ahmed Abdelaleem¹, Mohamed A Ismeil², M Nasrallah¹

¹Faculty of Engineering, Electrical Engineering Department, South Valley University, Qena, Egypt.

|July 10, 2024

Summary

This study introduces a finite control-set model predictive control (MPC) for split-source inverters (SSIs) in remote power systems. The proposed MPC ensures accurate load current tracking with fast response and minimal overshoot, enhancing system performance.

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Area of Science:

Electrical Engineering
Power Electronics
Control Systems

Background:

Distributed power generation systems require versatile converter topologies.
Impedance source converters, including the novel split-source inverter (SSI), offer single-stage buck-boost functionality.
Model predictive control (MPC) strategies are emerging as effective control techniques for power systems.

Purpose of the Study:

To propose a finite control-set MPC (FCS-MPC) for a three-phase single-stage SSI.
To support standalone loads in remote area applications.
To enhance the performance of SSI systems in terms of current tracking and transient response.

Main Methods:

Implementation of a finite control-set model predictive control (FCS-MPC) strategy.
Application to a three-phase single-stage split-source inverter (SSI) system.
Validation using Opal-RT OP-4510 hardware and explanation of the power loss model.

Main Results:

The proposed FCS-MPC achieves precise tracking of the output load current reference magnitude with minimized error.
The system demonstrates a fast settling time of 10 μs.
The output current exhibits minimal overshoot, indicating enhanced system stability and performance.

Conclusions:

The developed FCS-MPC is a suitable control technique for three-phase single-stage SSIs in standalone applications.
The proposed control strategy significantly improves SSI system performance, offering rapid response and high accuracy.
The research validates the effectiveness of FCS-MPC for remote power generation applications.