Harmonic source affine modeling method adopting interval monitoring data dimension reduction regression

Abstract

The invention relates to a harmonic source affine modeling method adopting interval monitoring data dimension reduction regression. The harmonic source affine modeling method comprises the following steps of S1, obtaining a harmonic voltage interval sample set; s2, according to the obtained harmonic voltage interval sample set, interval midpoint principal component analysis is carried out to obtain an affine expression of a harmonic voltage principal component; s3, based on the obtained affine expression of the harmonic voltage principal component, performing least square fitting on the affinecenter of the harmonic source model variable and the noise source part, and identifying parameters; and S4, combining the affine center and the noise source parameters to obtain an uncertain harmonicsource affine model. According to the method, expansion of interval arithmetic addition and subtraction operation can be inhibited, the ultra-width problem is solved, more accurate uncertain harmonicsource modeling is realized, and when the method is applied to harmonic load flow calculation, the calculation efficiency is high, and the convergence speed is high.

Description

technical field [0001] The invention relates to the field of harmonic power flow, in particular to a harmonic source affine modeling method using interval monitoring data dimension reduction regression. Background technique [0002] In recent years, the rapid development of renewable energy and power electronic converter technology has promoted the continuous increase of the scale of new energy development. While improving the operation mode of the grid, the access of distributed new energy generation also brings new challenges to the research of grid harmonic problems. On the one hand, the injection of large inter-harmonics increases the harmonic fluctuations of the system; on the other hand, the randomness and volatility of distributed new energy interact with the volt-ampere characteristics of nonlinear equipment, making harmonic analysis more accurate. complex. Harmonic power flow is one of the important technical support means for analyzing harmonic propagation charac...

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Problems solved by technology

When using stochastic theory or fuzzy set theory to solve problems, it is necessary to know the probability density function or membership function of the uncertain parameters, but these functions are often difficult to determine in practical problems, and are often artificially set or approximated, resulting in large calculation results. deviation

Interval analysis to solve uncertainty problems can reduce the influence of human factors and improve the reliability of analysis results, but the interval width of the operation results obtained by using interval arithmetic will be larger than the actual interval width, and there is an over-width problem; in long calculation chains, This over-width problem will cause "error explosion" and greatly reduce the accuracy of calculation results

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