Researches On The Model Selection Of Wind Power Generator Based On The Capacity Factor

The wind energy features green and renewable properties and huge reserves.Compared with other energy sources such as coal, oil and natural gas, the wind energyresource will not be reduced with the utilization and conversion of itself. In essence,it is converted from the solar energy. Therefore, wind power generation brings onalmost zero pollution and zero emission. Today, it serves as the largest source ofenvironment-friendly power generation. Meanwhile, compared with other energiesthat do not exert negative impact on nature such as tide, waves and solar energy, theefficiency of wind power generation is the highest, which is of similarcompetitiveness with conventional power generation methods.The design of wind farm centers on the efficient utilization of wind energy andthe production of the greatest economic benefits with the minimum investment. Thebest way of realizing these goals is to match the wind power generator with theoptimal wind farm, namely, the reasonable model selection of the wind powergenerator. Currently, there are a variety of model selection methods available at homeand abroad. Based on the existing research methods, the author takes into account thedirect influence of the capacity factor on the wind energy utilization ratio and costs ofwind power generation and probes into the principles and calculation methodsconcerning the model selection of wind power generator based on the capacity factor.Through actual calculations and analysis on the capacity factor calculation principles,the author fully demonstrates the convenience, accuracy and high practical value ofthe model selection of wind power generator by means of the capacity factor. Theexample simulation reveals that parameters of the wind power generator exert hugeinfluence on the capacity factor. For particular wind speed observation spots, themodel selection of wind power generator can not be based on the mere capacity ofitself; otherwise, economic benefits of the wind farm will be severely influenced.In the computational analysis of the capacity factor, the influence of differentoutput characteristic functions on capacity factor calculations has not been paidsufficient attention to in traditional methods of calculation, resulting in the lessaccurate model selection of wind power generator. Based on this, the author takes theinitiative to give full consideration to the relatively huge influence of different outputcharacteristic functions on capacity factor calculations. In the calculation of the capacity factor, the author conducts calculations and comparisons to22representativewind power generators in10typical wind speed observation spots in Yunnan Provincewith three kinds of output characteristic functions, namely, linear function, quadraticfunction and cubic function. The simulation reveals that different output characteristicfunctions in the capacity factor calculation of the wind power generator lead to hugelydifferent calculations and indirectly demonstrates that the actual wind speed-powerrelation curve varies within a relatively wide range rather than remaining a singlecurve. The above calculation and analysis are of certain theoretical significance andpractical value for researches on wind power generation technologies.