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

Distribution network reactive power optimization data processing method

A technology for optimizing data and data processing, applied in the field of distribution network, can solve problems such as difficulty in fully utilizing big data

Active Publication Date: 2017-01-04
CHINA ELECTRIC POWER RES INST +2
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The traditional reactive power optimization method has strict data limitations, and it is difficult to fully utilize the advantages of big data. However, the application of big data technology in the field of distribution network is used for the global optimization of the power grid based on theoretical analysis based on data modeling, which breaks through the previous Random factor assumptions and simplifications

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
  • Distribution network reactive power optimization data processing method
  • Distribution network reactive power optimization data processing method
  • Distribution network reactive power optimization data processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The technical solution provided by the present invention will be further described in detail below with reference to the accompanying drawings.

[0045] The DG output and load data in the reactive power optimization of distribution network have the characteristics of randomness and uncertainty. Different from the traditional single numerical representation method, big data tends to be described in the way of interval or probability density function. Provide more systematic and comprehensive data support. Distributed power generation and load forecasting in distribution network are special, and the statistical characteristics of the data are complex, so it is difficult to directly fit the probability density function. The invention aims to process the DG output and load data of the distribution network, convert them into a data format represented by a probability density function, and establish data support for reactive power optimization of the distribution network.

...

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 distribution network reactive power optimization data processing method which comprises the steps of determining the sampling data of distribution network reactive power optimization, initializing a distribution network reactive power optimization mixed component parameter, optimizing the distribution network reactive power optimization mixed component parameter, judging the convergence of a data processing process, adding 1 to the number of iterations if not converging, further optimizing the distribution network reactive power optimization mixed component parameter, and calculating a probability density function after data processing process convergence. According to the technical scheme provided by the invention, the reasonable configuration of reactive resources is realized, a more systematic and comprehensive data support is provided for power optimization network reactive power optimization, and the economy, safety and stability of a power system are greatly improved.

Description

technical field [0001] The invention relates to a data processing method in the field of distribution network, in particular to a data processing method for reactive power optimization of a distribution network. Background technique [0002] The distribution of reactive power flow in a power system not only directly affects the safety and stability of the power system, but is also closely related to economic benefits. Insufficient reactive power flow leads to system voltage reduction, and in severe cases, voltage collapse accidents are caused; while excessive reactive power flow leads to deterioration of system voltage quality, endangering the safety of the system and equipment, and too much reactive power reserve will waste unnecessary investment. Reasonable allocation of reactive power input and withdrawal can effectively reduce network loss, ensure voltage quality, prevent accidents, and prevent accidents from expanding, thereby improving the economy, safety and stability...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 何开元盛万兴刘科研孟晓丽贾东梨胡丽娟叶学顺刁赢龙唐建岗董伟杰李雅洁
Owner CHINA ELECTRIC POWER RES INST
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