Research On Maximum Wind Power Point Tracking In Wind-power Generation System Based On Two Stage Matrix Converter

With the increase consumption of world energy, new renewable energy shouldbe found, instead of fuel sources such as fossil fuels. Wind power caused more andmore attention because of its advantages of clean, non-polluting and renewable. Dueto the randomness and uncertainty of wind speed, generator cannot track the variablewind speed quickly. It is necessary to take some methods to track the wind speed.Two new maximum power point tracking (MPPT) algorithms are put forward fordirect-driven wind power system based on two-stage matrix converter (TSMC).First of all, the topology and double space vector modulation strategy of TSMCare analyzed in this paper. Comparing with several common wind power systems andpower electronic converters, highlighting the advantages of TSMC used in windpower generation system. Second, the mathematical model of TSMC wind powersystem is established, inferring and analyzing the integrated power control of TSMC.For obtaining the maximum power from variable wind speed，the new algorithmtracks maximum power point through three modes. Mode0detects and achievesmaximum power point and keeps its correct maximum; mode1retains the system atthe detected maximum; mode2implements the adaptive step based on hill climbsearch. Considering the tracking speed of mode2is a little slow, using fuzzy controlalgorithm to track wind speed quickly. Through taking sample of the power-rotorspeed curve to get P and P/ω, then using P and P/ω as input of fuzzy controlto get the next moment disturbance, realizing maximum power point tracking.According to analyzing the transfer function of P and ω, obtaining therelationship between output power and moment of inertia, a proportional controllerMPPT algorithm is proposed, the difference between wind turbine and generatortorque increases, speeding up the dynamic response of the system, realizing maximumpower point tracking.The wind power system model is established in the Matlab, the two algorithmsare simulated. Compared with the waves of conventional hill climbing search andpower signal feedback, simulation results show that the proposed algorithm is fasterand more accurate than hill climbing search and power feedback.