Mountainous region wind power farm model blower fan mechanical power calculating method based on wind speed variation coefficient

Abstract

The invention discloses a mountainous region wind power farm model blower fan mechanical power calculating method based on wind speed variation coefficient. The mountainous region wind power farm model blower fan mechanical power calculating method includes the steps: 1) according to the wind energy data, constructing a mountainous region wind power farm wind speed space-time characteristic parameter list; 2) selecting one condition S, and acquiring a wind speed non-consistency index (wind speed variation coefficient) sigma s and the confidence level CL, so as to calculate the upper quantile sigma u and the lower quantile sigma l; 3) combining with the wind speed space distribution type WSD in the mountainous region wind power farm wind speed space-time characteristic parameter list to respectively calculate the wind speed of each unit corresponding to the sigma s confidence interval; 4) selecting the wind speed time distribution type WTD, and determining the correlated parameters; and5) respectively calculating the mechanical output power of the units corresponding to the sigma s confidence interval. The mountainous region wind power farm model blower fan mechanical power calculating method based on wind speed variation coefficient solves the technical problems that the prior art is short of the index reflecting the mountainous region wind power farm wind speed non-consistency, and cannot realize quantitative evaluation and usage of the wind speed non-consistency space distribution characteristics, and the like.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and in particular relates to a method for calculating the mechanical power of a wind turbine in a mountain wind farm model based on the coefficient of variation of wind speed. Background technique [0002] With the prominence of environmental problems in my country, wind power generation, as one of the effective means to solve environmental problems, has been increasing continuously in the past ten years, and has become the third largest power source in my country after coal power and hydropower. By the end of 2016, my country's wind power installed capacity had reached more than 100,000 units, with a cumulative installed capacity of 169 million kilowatts. According to my country's wind power planning goals, by the end of 2020, the cumulative annual power generation of wind power will reach 420 billion kWh, accounting for about 6% of the country's total power generation. It can be s...

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Problems solved by technology

[0003] In the existing technology, the side wind speed simulation of the prime mover model of the wind farm generally uses the average wind speed of a single unit, the wind measuring tower or even all the units of the entire wind farm within a period of time, resulting in the accuracy of the output power characteristics of the model when it is applied to a mountainous wind farm. It is difficult to meet the needs of the analysis of the dynamic characteristics of power systems with complex terrain mountainous wind farms; in addition, recent studies have proposed the construction of electromechanical transient models for mountainous wind farms considering weakly consistent wind speed distribution, but no research on the weakly consistent wind speed distribution has been proposed. Therefore, it is impossible to quantitatively evaluate and use the non-uniform spatial distribution characteristics of wind speed in mountainous wind farms

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