Active Power Smoothing Control Strategy Research Of Direct-driven Permanent Magnet Synchronous Wind-power Generator Based On TSMC

Wind power generation is an effective way to solve the problem of the worldenergy crisis, while grid-connected wind generation is the driving force to promoterapid development of wind power industry. But due to stochastic volatility of the windpower and nature of wind turbine, the output active power of the wind powergenerators fluctuates along with the change of wind speed, which influences outputpower quality of wind turbine. With the rapid expansion of wind generation scaleyearly, it is necessary to take some measures to suppress volatility of output power forgenerator. Two-stage matrix converter for the power converter of permanent magnetsynchronous generator is chosen as the research object in this paper. In view of thecontradiction of wind power system’s stability, smoothness and utilization efficiencyof wind power in the existing smooth control strategy of active power. Two kinds ofmethods have been proposed to restrain random fluctuation of active power.Firstly, the double space vector modulation strategy of the TSMC is analyzedsimply in the paper, and the mathematical model of grid-connected inverter stage ofTSMC has been established, which could realize integrated control of TSMC. Thenbased on deducing wind power unit transfer function, the stability of wind generatorhas been analyzed. And in the light of the existing contradiction between thesmoothness of output power and the stability of the system, an active powersmoothing control method is proposed, which use a fuzzy controller to self-correct thesetting active power of TSMC inverter stage. The method give attention to thesmoothness of active power output and the stability of wind turbine, which canguarantee wind generator steady operation in wind speed decreasing faster.In allusion to the above method, it has defect in wind energy utilizationefficiency. An active power smoothing control strategy based on fuzzy EMAalgorithm has been proposed. The smoothness power reference value is improved onthe basis of EMA algorithm. In the traditional EMA algorithms, the number of cyclesis a constant, while the number of cycles is the output of the fuzzy controller inproposed control strategy. Therefore, the number of cycles is adjusted dynamicallyaccording to the change of wind speed in real time. The method gives attention tostability of the system, the smoothness of active power and utilization efficiency ofwind power. As the result, utilization efficiency of wind power increase when windspeed is steady, The safe and stable operation is ensured at the moment of wind speed rapidly drooping, More smooth active power is obtained during the period when windspeed has sharply fluctuate.Finally, the TSMC wind power system model has been established in theMATLAB/simulink, the above two methods are simulated respectively. Simulinkresults show that the two kinds of methods can ensure the stability of wind powersystem and output smooth power at the same time, while the utilization efficiency ofwind power is higher by using fuzzy EMA algorithm smoothing control strategy.