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Experimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor

Habib Benbouhenni¹, Nicu Bizon^2,3, Mourad Yessef⁴

¹Laboratoire LAAS, Ecole Nationale Polytechnique d'Oran, Bp 1523, EL M'naouer, Algeria. habib.benbouhenni@enp-oran.dz.

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Summary

A new genetic algorithm-based proportional-integral controller improves power quality in doubly-fed induction generators. This method significantly reduces power ripples and overshoot compared to direct power control, enhancing system stability and current quality.

Keywords:

Direct power control Doubly-fed inductive generator Genetic algorithm Multi-rotor wind systems Processor-in-the-loop test Proportional-integral regulator Pulse width modulation

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Area of Science:

Electrical Engineering
Control Systems
Renewable Energy

Background:

Direct Power Control (DPC) is a common linear control technique for generators, valued for its simplicity and speed.
However, DPC can lead to reduced current quality and network disturbances.
Doubly-fed induction generators (DFIGs) are widely used in multi-rotor wind systems.

Purpose of the Study:

To present a simple and efficient solution to improve power quality in DFIG-based wind systems.
To address the drawbacks of DPC, specifically power quality degradation and network disturbances.
To enhance the performance and stability of multi-rotor wind systems.

Main Methods:

A proportional-integral (PI) regulator optimized by a genetic algorithm (GA) was designed for power quality regulation.
Pulse Width Modulation (PWM) was employed to generate control pulses for the DFIG's rotor inverter.
Simulations were conducted in MATLAB, followed by Processor-in-the-Loop (PIL) testing using dSPACE 1104.

Main Results:

The GA-optimized PI controller significantly reduced active power ripples by up to 71.42% compared to DPC.
Reactive power overshoot was reduced by up to 92.85% compared to DPC.
PIL tests confirmed the enhancement in energy and current quality, validating the controller's effectiveness.

Conclusions:

The proposed GA-optimized PI controller offers a superior alternative to DPC for DFIG-based wind systems.
This approach effectively improves power quality, reduces power ripples and overshoot, and enhances current quality.
The developed control strategy is a suitable solution for improving the performance of wind power systems.