Adaptive Grid-type Converter Control Strategy Based on Improved Particle Swarm Algorithm
The grid-type control is a technical means to improve the stability of the power system under the high penetration rate of new energy sources.In view of the fact that the traditional grid-type converter is controlled by fixed parameters,which makes it unable to play the best frequency regulation effect,based on the adjustable control parameters of the grid-type converter,the adaptive control is proposed to optimize the output of the grid-type converter and to improve the dynamic characteristics of the power system.Firstly,the effect on dynamic characteristics of typical grid-type converter virtual inertia and damping coefficient under high-power events are obtained through simulation experiments.Afterwards,an adaptive grid-type converter control strategy including frequency deviation and frequency change rate is proposed by studying the frequency curve and power angle curve of typical grid-type converter.Then,the parameters involved in the adaptive control strategy are calibrated by the improved particle swarm algorithm.Finally,the stability and robustness of the proposed method is verified by a microgrid model built based on MATLAB/Simulink.The simulation results show that the proposed method can adaptively change the control parameters so that the output of the grid-type converter can meet different demands of the system at various stages and optimize the dynamic characteristics of the power system.
grid-type converteradaptive controlimproved particle swarm algorithm,parameter settingpower system stability
万方数据
维普
