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Multi-Objective Ant Colony Optimization for Enhancing the Maximum Power of Variable-Speed Wind Turbines Based on PMSG


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DOI: https://doi.org/10.15866/irecon.v11i5.24121

Abstract


The research work presented in this study focuses on the construction and the analysis of a Maximum Power Point Tracking (MPPT) control system for a Wind Energy Conversion System (WECS) based on a Permanent Magnet Synchronous Generator (PMSG). The PMSG is a commonly used generator for direct-drive and variable-speed wind energy conversion. The study focuses on controlling the generator and the converter on the DC load side to follow the wind speed reference set by the MPPT algorithm. The paper presents the formulation of the optimisation problem, including the optimisation space, the restrictions, and the goals. The design improvement incorporates the use of Ant Colony Optimisation (ACO) to extract the maximum power of the WECS. In this study, both Proportional Integral Derivative (PID) controllers and the ACO heuristic approach are employed for controlling and stabilising the MPP of the power generated by the Wind Turbine (WT). The ACO approach is utilized to determine the optimal settings (Kp, Ki, Kd) based on five performance indicators: Integrated Squared Error (ISE), Integrated Absolute Error (IAE), Integrated Time Absolute Error (ITAE), Integrated Time Squared Error (ITSE), and the Mean Squared Error (MSE). The suggested system is modelled and simulated in Matlab/Simulink by using a 12.3 kW PMSG. The results show generated power, DC bus voltage, electromagnetic torque, and currents. The results of the simulation demonstrate that the WT can successfully track the necessary MPP.
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Keywords


Wind Turbine (WT); PMSG; MPPT; PID Controller; ACO Optimization

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References


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