Simplified load model identification method based on global sensitivity analysis

A sensitivity analysis, load model technology, applied in design optimization/simulation, instrumentation, electrical digital data processing, etc., can solve problems such as low identification efficiency

Pending Publication Date: 2020-09-29
RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +2
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Problems solved by technology

[0004] The main purpose of the present invention is to provide a simplified identification method of load model based on global sensitivity analysis, aiming to solve the problem of low identification efficiency when performing parameter identification after the existing sensitivity analysis method analyzes the input parameters of the load model

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  • Simplified load model identification method based on global sensitivity analysis
  • Simplified load model identification method based on global sensitivity analysis
  • Simplified load model identification method based on global sensitivity analysis

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Embodiment Construction

[0059] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0060] The invention proposes a simplified identification method of a load model based on global sensitivity analysis.

[0061] as attached figure 1 As shown, in the first embodiment of a load model simplified identification method based on global sensitivity analysis proposed by the present invention, the following steps are included:

[0062] Step S110: Obtain the parameters to be identified of the load model.

[0063] Step S120: According to the global sensitivity analysis based on variance analysis, perform sensitivity analysis on the parameter to be identified, so as to obtain the first-order sensitivity coefficient and the total sensitivity coefficient of the parameter to be identified.

[0064] Step S130: Mark the parameters to be identified whose absolute value of the total sensitivity coefficient is smaller...

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Abstract

The invention discloses a simplified load model identification method based on global sensitivity analysis. The simplified load model identification method comprises the steps of obtaining to-be-identified parameters of a load model; according to global sensitivity analysis based on variance analysis, carrying out sensitivity analysis on the to-be-identified parameter to obtain a first-order sensitivity coefficient and a total sensitivity coefficient of the to-be-identified parameter; marking the to-be-identified parameters of which the absolute value of the total sensitivity coefficient is smaller than a preset value as first parameters, and marking the remaining to-be-identified parameters as second parameters; fixing the first parameter, and performing parameter identification on the load model by adopting a genetic algorithm according to the second parameter to obtain a simplified load model. According to the simplified load model identification method based on global sensitivity analysis provided by the invention, the identification parameters of the load model can be simplified, the identification complexity of the load model is reduced, the identification efficiency is improved, and the accuracy of the load model can be ensured.

Description

technical field [0001] The invention relates to the technical field of electric load decomposition, in particular to a simplified identification method of a load model based on global sensitivity analysis. Background technique [0002] Load model is one of the most important links in power system simulation and control. Although the importance of load modeling in dynamic systems is widely known and its research results are abundant, it is still a very challenging problem due to the continuous complexity of load components with the development of industry; as the research continues to deepen the load model And the modeling method is constantly improved, and the accuracy is continuously improved. [0003] Sensitivity analysis can characterize the influence degree of the input parameters of the load model on the output results. Because sensitivity analysis has predictive and diagnostic properties, it is usually used as the first condition for modeling and model analysis. Howe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F30/3323H02J3/00
CPCG06F30/27G06F30/3323H02J3/00H02J2203/20
Inventor 杨斌鉴庆之李文升罗姝晨曹相阳魏佳张家宁王丰贺声涛汪湲张杰薄其滨张栋梁汪鑫王宪刘冬牟颖张玉跃袁振华孙毅黎灿兵程佩芬李勃
Owner RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER
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