Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Fast Three-Phase State Estimation Method for Decomposed Distribution Network Based on Sparse Restoration

A sparse recovery and state estimation technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as high resistance-to-reactance ratio and inability to apply fast decomposition methods

Active Publication Date: 2019-05-21
TSINGHUA UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The fast decomposition method is a very mature and efficient algorithm used in the power flow calculation of the transmission network. However, due to the high ratio of resistance to reactance in the distribution network, the fast decomposition method is often not applicable.

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
  • A Fast Three-Phase State Estimation Method for Decomposed Distribution Network Based on Sparse Restoration
  • A Fast Three-Phase State Estimation Method for Decomposed Distribution Network Based on Sparse Restoration
  • A Fast Three-Phase State Estimation Method for Decomposed Distribution Network Based on Sparse Restoration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0126] The three-phase state estimation method of fast decomposing distribution network based on sparse restoration proposed by the present invention comprises the following steps:

[0127] (1) Establish a distribution network robust state estimation model based on sparse restoration:

[0128] The functional relationship between the quantity measurement of the distribution network and the state quantity of the distribution network is expressed as:

[0129] z=h(y)+o+e

[0130] Among them, y is the state quantity of the distribution network, z is the quantity measurement of the distribution network, o is the bad data deviation in the distribution network quantity measurement, e is the random error of the distribution network measurement system, h(y) is The functional relationship between the distribution network state quantity and the real value of the distribution network quantity measurement;

[0131] According to the functional relationship between the quantity measurement ...

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, which belongs to the technical field of power system operation, relates to a sparse-recovery-based quick decomposing method for three-phase state estimation of a distribution network. With consideration of sparsity of bad data in a power system state estimation problem, modeling is carried out based on a sparse recovery theory, so that a state estimation value becomes accurate. Current magnitude measurement is expressed in a net loss mode, so that the state estimation model is simplified. A ratio of a resistance parameter to a reactance parameter in a distribution network is adjusted by using a complex power as a basic value, so that the three-phase power relation in the distribution network can be written in a PQ decomposition mode; calculation is carried out by using a quick decomposing method; and the efficiency of the state estimation is improved substantially because the Jacobian matrix in the quick decomposing method does not need updating in each iteration. Therefore, the sparse-recovery-based quick decomposing method is based on a state estimation model having high anti-error performance and high efficiency.

Description

technical field [0001] The invention relates to a method for estimating a three-phase state of a rapidly decomposed distribution network based on sparse recovery, and belongs to the technical field of power system operation. Background technique [0002] As the core function of the energy management system (EMS) of the dispatch center, the state estimation of the power system can effectively use the measurement of the power system to estimate the operating state of the system. The result of the state estimation is the basis for subsequent decision-making and control. Once the state The estimation deviation is large, and the follow-up work will not be carried out normally. However, due to various reasons (such as damage to measuring equipment or sensing equipment, and interference to signal transmission channels), there are often a small amount of bad data in the measurement of power systems. If bad data is not considered in the state estimation process, the state estimation ...

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 Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 吴文传张伯明孙宏斌杨俊炜巨云涛郭庆来王彬
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com