A wind power plant abandoned wind power assessment method based on a hierarchical clustering method

Abstract

The invention discloses a wind power plant abandoned wind power assessment method based on a hierarchical clustering method. The method comprises the following steps: step S10, performing standardization moment flattening on actually measured wind speed data of a wind power plant; step S20, subjecting a wind speed matrix after the standardization moment flattening to empirical orthogonal function decomposition; step S30, based on the empirical orthogonal function decomposition result, calculating the variance contribution rate and the cumulative variance contribution rate of each spatial type; step S40, performing clustering analysis on the spatial matrix obtained by decomposing the empirical orthogonal function using the hierarchical clustering method; step S50, drawing a clustering dendrogram based on the result of hierarchical clustering analysis; step S60, dividing wind turbine generators based on the clustering dendrogram, selecting a mark post draught fan and determining distribution coefficients; and step S70, using the mark post draught fan method to calculate the amount of the abandoned wind power. The method of the invention can reduced errors in a mark post draught fan method, and relatively accurately reflect abandoned wind conditions in the wind power plant.

Description

technical field [0001] The invention belongs to the field of new energy power generation, and more specifically relates to a method for evaluating abandoned wind power of a wind farm based on a hierarchical clustering method. Background technique [0002] The large-scale concentrated development of wind farms in my country generally has the problem of curtailment of wind power. In 2013, my country's wind power generation capacity was 135 billion kwh, and the abandoned wind power was 16.2 billion kwh, with a wind abandonment rate of 11%; in 2014, my country's wind power generation was 153.4 billion kwh, with a wind abandonment rate of 8%; The capacity is 186.3 billion kwh, and the average wind abandonment rate is 15%. The high wind curtailment rate has caused a waste of energy resources and huge economic losses. How to calculate the theoretical power of wind farms more accurately and scientifically evaluate the amount of abandoned wind power has attracted more and more atten...

AI Technical Summary

Problems solved by technology

The benchmark wind turbine method can accurately count the curtailed wind power of wind farms, but the selection of wind farm benchmark wind turbines and the determination of the distribution coefficient are the key to this method, and the errors caused by different selection methods are significantly different

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