Method for estimating state of large power grid based on Givens orthogonal increment line transformation

A technique of quadrature incremental, state estimation, applied in the direction of AC network circuits, computation, electrical components, etc., can solve problems such as limiting the performance of state estimation

Active Publication Date: 2014-07-09
STATE GRID CORP OF CHINA +2
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] However, in the practical application of state estimation, local measurement changes, local network topology changes, branch parameter changes, etc. frequently occur, resulting in state estimation having to be recalculated due to local changes in the power grid model, which greatly limits the state estimation performance. play

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
  • Method for estimating state of large power grid based on Givens orthogonal increment line transformation
  • Method for estimating state of large power grid based on Givens orthogonal increment line transformation
  • Method for estimating state of large power grid based on Givens orthogonal increment line transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0135] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0136] Explanation of terms:

[0137] 1) Givens orthogonal row transformation: Perform Givens orthogonal decomposition on a non-singular matrix, and use row transformation to decompose all rows row by row.

[0138] 2) Givens orthogonal incremental row transformation: When performing Givens orthogonal decomposition on a non-singular matrix, when the matrix changes locally, inherit the calculated results before the matrix change, continue to decompose by adding element rows, and finally get a fast matrix with correct results Orthogonal decomposition technique.

[0139] 3) Incremental row: the newly added element row constructed during Givens orthogonal incremental row transformation.

[0140] 4) Incremental matrix: a matrix formed by all newly added element rows constructed during the Givens orthogonal incremental row transformation process.

[0141] 5) Forw...

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 provides a method for estimating the state of a large power grid based on Givens orthogonal increment line transformation. The method for estimating the state of the large power grid based on the Givens orthogonal increment line transformation comprises the following steps that the Givens orthogonal increment line transformation is conducted, local correction of a factor table is conducted, and the state of the large power grid is estimated. According to the method for estimating the state of the large power grid based on the Givens orthogonal increment line transformation, on the premise that the stability of a state estimation algorithm is guaranteed, the calculation speed for state estimation is greatly increased, the method can be flexibly adapted to the change of a power grid model, a previous factor table calculation result can be used continuously under the condition that the topology, measurement and parameters change, fast estimation of the state of the power grid at present can be achieved, the practicability level of state estimation is further improved, and the technical support is provided for the development of intelligent regulation and control systems and construction of intelligent power grids.

Description

technical field [0001] The invention relates to a state estimation method, in particular to a large power grid state estimation method based on Givens orthogonal incremental row transformation. Background technique [0002] Power system state estimation is an important part of modern energy management systems. The concept of power system state estimation was proposed in the early 1970s. The application effect of its theory and calculation methods in power systems has been affirmed by the end of the 1970s. Power grids in various countries in the world The control system has entered the practical stage and has been continuously improved in practical applications. Power system state estimation has been developed for more than 40 years, and a lot of achievements have been made both in theory and in application. [0003] Least squares state estimation. This algorithm has a large amount of calculation and uses a large amount of memory, which is difficult to apply to real-time ca...

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): H02J3/00G06F19/00
Inventor 赵昆贾育培张印罗雅迪邹昱徐杰郎燕生郭子明张昊
Owner STATE GRID CORP OF CHINA
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap