A method for evaluating wind farm output characteristics

Abstract

The invention relates to a method for evaluating the output characteristic of a wind power plant, and the method comprises the steps: selecting a reference unit in the wind power plant, and measuring the wind power data of a cabinet front of the reference unit through a laser radar; collecting the operation data of the reference unit, and carrying out the time synchronization of the above two pieces of data; calibrating the landform of a place where a reference unit is located through a computational fluid mechanics calculation method, and correcting the wind power data according to a calibration result; obtaining a wind speed distribution probability density function following a three-parameter Weibull distribution through the corrected wind power data; calibrating an anemorumbometer of a tested unit; building an extrapolation function of other units and the tested unit; building a cabin front wind resource distribution database of each unit arrangement place of the wind power plant; importing the database into a wind power evaluation system database; and evaluating the output characteristics of each unit or the whole wind power plant. According to the embodiment of the invention, the operation conditions of the unit can be mastered and evaluated in real time, and the method can provide reliable wind power plant information for power scheduling, and is high in practicality.

Description

technical field [0001] The invention relates to the technical field of wind power generation monitoring, in particular to a method for evaluating the output characteristics of a wind farm. Background technique [0002] The output characteristics of the wind farm refer to the electric power generated by the wind turbines of the current wind farm, usually the active power delivered by the current wind farm to the grid. By obtaining the wind energy resource data after the wind farm is connected to the grid, the output characteristics of a single wind turbine or the whole wind turbine in the wind farm are evaluated, and it provides a reference for wind farm benefit analysis and wind farm scheduling projects. [0003] Existing wind farm output characteristics evaluation methods are mainly applicable to wind farms with flat terrain. In wind farms with flat terrain, since the units are arranged in a large area, the tower shadow effect or wake interference is required when estimatin...

AI Technical Summary

Problems solved by technology

Due to the long extension range of the entire wind farm, the wind resource data obtained by relying on single-point anemometer towers cannot represent the actual situation of the wind resources of the entire wind farm. There are objective differences in the wind energy input and capture capabilities of wind turbines. Therefore, on the one hand, in the prior art, the output characteristics of wind turbines are only measured by macro indicators such as annual utilization hours and power generation, and only a certain wind turbine can be known. The size of the power generation cannot obtain the actual theoretical maximum output upper limit of each wind turbine, nor can it obtain the optimal space size and optimization direction of the wind turbine, which leads to the inability to fully utilize the power generation potential of the wind turbine; on the other hand, Due to the large differences in the distribution of wind resources among the units, the wind resource data in most cases does not satisfy the Weibull distribution with a shape parameter of 2, resulting in a large discrepancy between the annual average power generation calculated according to the method of IEC61400-12-1 and the actual difference, which in turn leads to low accuracy in evaluating the output characteristics of wind farms in complex terrain in the prior art

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