Abstract
In order to meet the requirements of high precision and fast response of permanent magnet direct drive (PMDD) wind turbines, this paper proposes a fuzzy proportional integral (PI) controller associated with a new control strategy for wind turbine converters. The purpose of the control strategy is to achieve the global optimization for the quantization factors, ke and kec, and scale factors, kup and kui, of the fuzzy PI controller by an improved particle swarm optimization (PSO) method. Thus the advantages of the rapidity of the improved PSO and the robustness of the fuzzy controller can be fully applied in the control process. By conducting simulations for 2 MW PMDD wind turbines with Matlab/Simulink, the performance of the fuzzy PI controller based on the improved PSO is demonstrated to be obviously better than that of the PI controller or the fuzzy PI controller without using the improved PSO under the situation when the wind speed changes suddenly.
Highlights
With the decrease in conventional energy reserves and increased concerns about environment pollution in recent years, it has become a primary mission for most countries to take actions to find new kinds of clean and renewable energy for use
A novel control strategy based on fractional-order PIμ controller for the variable-speed operation of wind turbines with permanent magnet synchronous generators (PMSGs) and full-power converters is given in [30] where the sliding mode control (SMC) strategy is applied as it can present some attractive features in wind turbine control and operation
In order to meet the requirements of high precision and fast response of permanent magnet direct drive (PMDD) wind turbines, this present paper proposes a fuzzy proportional integral (PI) controller based on an improved particle swarm optimization (PSO)
Summary
With the decrease in conventional energy reserves and increased concerns about environment pollution in recent years, it has become a primary mission for most countries to take actions to find new kinds of clean and renewable energy for use. A sliding mode voltage control strategy was proposed in [28] for capturing the maximum wind energy based on fuzzy logic control, which was illustrated to have higher overall control efficiency than the conventional proportional integral derivative (PID) control. A novel control strategy based on fractional-order PIμ controller for the variable-speed operation of wind turbines with PMSG and full-power converters is given in [30] where the SMC strategy is applied as it can present some attractive features in wind turbine control and operation One of these features is the robustness to parametric uncertainties of the WECS as well as to grid disturbances [31]. The validity of the control algorithm developed has been verified through simulation for a 2 MW PMSG-WECS
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