Experimental Verification of the Performance of a Nonlinear Regulator Based on Genetic Algorithms in Improving the Power Quality of DFIG

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Abstract
This experimental work investigates the energy control of the doubly fed induction generator. The energy control is performed using a direct power control based on a fractional‐order proportional‐integral (FOPI) regulator. The PI regulator parameters are calculated using a genetic algorithm. The use of this strategy ensures stable operation of the DFIG, superior performance, and higher reliability of the power supply. This strategy utilizes two FOPI controllers to control power and employs pulse width modulation to regulate the generator’s inverter operation. The FOPI controllers generate the voltage reference values. The use of a FOPI improves power quality and reduces the current total harmonic distortion compared to the PI regulator. First, the effectiveness of the FOPI regulator is tested in a multirotor turbine system using simulation. The efficacy of the FOPI regulator is then verified experimentally. The results of this study offer valuable insights into the potential of the designed controller in other industrial applications and its effectiveness in enhancing system performance.
Funding Information
  • King Khalid University (RGP.2/108/46)

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