Online structure and parameter identification method for dynamic power load model

A technology of electric load and model structure, applied in the direction of electric digital data processing, special data processing applications, instruments, etc., can solve the problem that the structure and parameters of the dynamic electric load model cannot be optimized at the same time

Inactive Publication Date: 2017-04-26
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0005] The existing dynamic power load modeling methods mainly have the following problems: first select a dynamic power load model structure based on experience, and then c

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  • Online structure and parameter identification method for dynamic power load model
  • Online structure and parameter identification method for dynamic power load model
  • Online structure and parameter identification method for dynamic power load model

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Embodiment Construction

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings and embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them.

[0065] see figure 1 , is the specific implementation process of the method of the present invention, the structure and parameter online identification method of a dynamic power load model of the present invention, the method includes:

[0066] Step 1, establishing a dynamic power load model structure library, which includes at least two dynamic power load model structures; the dynamic power load model structure is a structure described by a state vector and a measurement vector;

[0067] Step 2. Read each dynamic power load model structure in the dynamic power load model structure library in parallel. For each dynamic power load model structure, the parameters to be identified and their state v...

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Abstract

The invention discloses an online structure and parameter identification method for a dynamic power load model. The method comprises the steps of 1, establishing a dynamic power load model structure library, which comprises at least two dynamic power load model structures; 2, reading the dynamic power load model structures in the dynamic power load model structure library in parallel, forming extended state vectors by to-be-identified parameters and state vectors of the dynamic power load model structures, and estimating the to-be-identified parameters by utilizing unscented Kalman filtering; 3, calculating posteriori probabilities of the dynamic power load model structures; and 4, comparing the posteriori probabilities of the dynamic power load model structures, taking the dynamic power load model structure with the highest posteriori probability as an optimal dynamic power load model structure, and taking a parameter identification result of the dynamic power load model structure as an optimal parameter. According to the method, dynamic power load characteristics are more accurately described from two aspects of the model structures and parameters through simultaneous online identification of the model structures and parameters.

Description

technical field [0001] The invention relates to the field of electric load simulation, in particular to an online identification method for the structure and parameters of a dynamic electric load model. Background technique [0002] The electric load model can be described as a certain mathematical relationship between the voltage or frequency and the power consumed by the integrated electric load node, which can be regarded as a system identification problem. Electric load modeling generally has two steps: to determine an appropriate electric load model structure; to identify the parameter values ​​of the model structure. [0003] The current power load model structure can be mainly divided into two categories: static power load model structure and dynamic power load model structure. Among them, the ZIP model is the most widely used static electric load model structure, which includes three parts: constant impedance, constant current and constant power. The advantage of t...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 朱建全黄俊铭易江文刘明波庄远灿朱涛王晨曦
Owner SOUTH CHINA UNIV OF TECH
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