Title: Sensorless Control of Switched Reluctance Generator with Maximum Power Extraction Wind Driven Based on MO-PSO
Authors: Mohamed E. Metally, Naggar H. Saad, Ahmed A. El-Sattar
Volume: 1
Issue: 10
Pages: 13-24
Publication Date: 2017/12/28//
Abstract:
The maximum Power Extraction wind energy conversion system (WECS) and sensorless control are considered the most important issues in the Switched Reluctance Generator (SRG) derived by variable speed wind turbine. This paper proposes an improved method for the rotor position estimation for controlling the variable speed SRG driven by wind system of variable speed. The rotor position estimation criterion depends on constant current per constant flux and it is taken into account linear characteristics of the SRG when the excitation current and flux linkages are small. The paper, also, proposes a modified Multi-Objective Particle Swarm Optimization (MOPSO) for the wind maximum power point tracking (MPPT). The modified MOPSO technique is based on the minimization of the integrated time weighted absolute error of torque ripples. The modified MOPSO improves the overall efficiency of the system and minimizes the torque ripples. The model has been investigated and simulated using MATLAB/SIMULINK for grid connected SRG. The simulation results show good agreement and support the feasibility of the proposed torque ripple minimization and maximum power extracting techniques with sensorless control technique.