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Method for predicting power quality of power distribution network including distributed generation based on support vector machine

A technology of support vector machine and distributed power supply, which is used in forecasting, computer parts, character and pattern recognition, etc. It can solve the problem that power quality cannot be detected in advance and deal with it in time, so as to achieve a smooth optimization process and speed up convergence. Effect

Active Publication Date: 2018-11-23
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] The present invention aims to overcome the problem that potential problems in the power quality of the existing DG distribution network cannot be detected and dealt with in advance due to the lack of situational awareness of the power quality of the existing DG distribution network, and provides a support vector machine-based power distribution network with distributed power distribution network. quality prediction method

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  • Method for predicting power quality of power distribution network including distributed generation based on support vector machine
  • Method for predicting power quality of power distribution network including distributed generation based on support vector machine
  • Method for predicting power quality of power distribution network including distributed generation based on support vector machine

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[0072] The present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto. The overall block diagram of the DG distribution network power quality prediction method in the embodiment is as attached figure 1 As shown, a kind of support vector machine-based power quality prediction method of distributed power distribution network of the present invention comprises the following steps:

[0073] 1. Data input and test set division: Input n vector arrays containing 8 eigenvalues ​​to form a data matrix X, where the 8 eigenvalues ​​are historical time, temperature, light, load, voltage deviation, frequency deviation, three-phase Unbalance degree and harmonic distortion rate; among these 8 eigenvalues, the first four eigenvalues ​​are defined as input eigenvalues, and the last four are defined as output eigenvalues; among them, d vector arrays are taken as t...

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Abstract

The invention discloses a method for predicting the power quality of a power distribution network including distributed generation based on a support vector machine. The method comprises the steps ofinputting a PQ data matrix, and dividing the data matrix into a test set matrix and a verification training set; further dividing the verification training set into a training set and a verification set; performing data normalization processing; obtaining optimal c and g parameters in each set division mode based on a grid searching method, obtaining an optimal set division mode based on a K-foldcross verification method, and finishing parameter optimization of a support vector machine model; carrying out power quality prediction on the basis of a built optimal PQ prediction model; and calculating a relative error value of a prediction result.

Description

technical field [0001] The invention relates to a method for predicting power quality of a distribution network containing distributed power sources based on a support vector machine, belonging to the fields of electrical engineering and power quality. Background technique [0002] Distributed Generator (DG) usually refers to small-scale modularized and distributed power generation units with a generating power of several kilowatts to hundreds of megawatts, which are generally distributed near users. It has low investment, small footprint, short construction period, energy saving and environmental protection, and is more economical and effective than traditional methods during peak load periods. However, after the distributed power generation is connected to the grid, it may cause problems such as frequency deviation, voltage fluctuation, voltage flicker, voltage unbalance, harmonic distortion and DC injection. Accurately and comprehensively extracting, understanding and pr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62G06N99/00
CPCG06Q10/04G06Q50/06G06F18/2411G06F18/214
Inventor 翁国庆马泰屹王腾志
Owner ZHEJIANG UNIV OF TECH
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