Two-stage parameter estimation method

A power grid parameter and stage technology, applied in the field of power system parameter identification, can solve problems such as non-convergence, decrease in numerical stability, and decrease in system redundancy, and achieve the effects of avoiding missed detection, reducing mutual influence, and high calculation accuracy

Inactive Publication Date: 2019-11-08
DALIAN POWER SUPPLY COMPANY STATE GRID LIAONING ELECTRIC POWER +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the increase of the dimension of the state quantity, this type of method reduces the redundancy of the system, reduces the numerical stability, and even leads to non-convergence in severe cases.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Two-stage parameter estimation method
  • Two-stage parameter estimation method
  • Two-stage parameter estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] Such as figure 1 As shown, the present invention provides a two-stage parameter estimation method, including the following steps performed in sequence:

[0031] Step 1) Establish a suspicious error parameter detection model based on the optimal measurement section to detect suspicious error parameters in the power grid:

[0032]

[0033] In the formula, t is the optimal number of measuring sections; P e is the error parameter vector of the N-dimensional network; n is the total number of all measurement sections; λ ∑i is the cumulative Lagrange multiplier of the error parameter, and its calculation formula is:

[0034] lambda ∑i =λ i,1 +λ i,2 +L+λ i,N

[0035]

[0036] where x i is the state quantity of the i-th measurement section; J i (x i P e ) is the objective function of the i-th measurement section; λ i,1 +λ i,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a two-stage parameter estimation method, which comprises the following steps: 1) a suspicious error parameter detection model based on an optimal measurement section is established, and suspicious error parameters in a power grid are detected; and 2) the suspicious error parameters are used as augmentation state variables, a staged augmentation state estimation model is built, and correction of suspicious error parameters is realized. Compared with the prior art, the two-stage parameter estimation method has the advantages that bad data interference is resisted, the calculation precision is high, the application prospect is broad and the like.

Description

technical field [0001] The invention relates to the technical field of power system parameter identification, in particular to a two-stage parameter estimation method. Background technique [0002] With the continuous expansion of the power grid, the power system model has become more complex, and the number of various system parameters has also increased explosively. The normal operation of the system puts forward higher requirements for the accuracy of the parameters. At the same time, due to the artificial setting errors of parameters and the occasional parameter drift of various equipment due to periodic power grid maintenance and transformation, advanced applications based on system parameters have large calculation errors, or even fail to converge. Therefore, how to accurately identify and correct network parameter errors is an important issue in the precise modeling of power systems. [0003] The existing parameter identification methods can be roughly divided into s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00
Inventor 王顺江张昱潘美艳潘鹏飞黄佳伟孙乔侯验秋肖黎丽李论郭奉李蔚
Owner DALIAN POWER SUPPLY COMPANY STATE GRID LIAONING ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products