Artificial neural network-based global power flow calculation method of transmission network

A technology of artificial neural network and global power flow, applied in the field of global power flow calculation of power transmission and distribution based on artificial neural network method, can solve the problem of few power flow calculations, and achieve the goals of accelerating the convergence speed of power flow, high calculation speed, and good calculation accuracy Effect

Active Publication Date: 2018-09-28
FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In recent years, the application of artificial neural network theory in power systems has been widely explored, but there are few studies on power flow calculation

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
  • Artificial neural network-based global power flow calculation method of transmission network
  • Artificial neural network-based global power flow calculation method of transmission network
  • Artificial neural network-based global power flow calculation method of transmission network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention is described in detail below in conjunction with accompanying drawing and specific embodiment:

[0044] Please refer to figure 1 , figure 2 and image 3 A method for calculating the global power flow of a transmission and distribution network based on an artificial neural network provided by the present invention includes the following steps:

[0045] S1. Obtain a large number of distribution network samples, and use a large number of distribution network samples to train the artificial neural network so that it can accurately predict the power at the boundary points of the transmission and distribution network;

[0046] Training the artificial neural network using samples from the distribution network includes the following steps:

[0047] (1) The head-end voltage of each distribution network (the initial voltage is 1pu), the total load of the distribution network, the total impedance, and the proportion of different power factor segments in ...

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 an artificial neural network-based global power flow calculation method of a transmission network. The artificial neural network is trained by using a large quantity of samples of distribution networks, so as to predict an accurate power at a boundary of the transmission network, then a global power flow calculation method with the predicted boundary power and a voltage amplitude as coordinational variables is built, therefore, the number of power flow iteration of the transmission network is lowered. Under the conditions of a normal power grid and distributed power supply, the number of power flow iteration of the transmission network is lowered remarkably, power flow convergence speed is improved, and the method is suitable for global power flow calculation of the large-scale transmission network at present.

Description

technical field [0001] The invention relates to the field of power flow calculation methods, in particular to a global power flow calculation method for power transmission and distribution based on an artificial neural network method. Background technique [0002] Power flow calculation is the basis of grid operation analysis and planning management. With the development of the power grid, the coupling relationship between the transmission network and the distribution network is strengthened, and the power grids at all levels support and influence each other. Therefore, the traditional method of separating the transmission network and the distribution network for power flow calculation is no longer sufficient. In order to meet the needs of modern power system operation analysis and planning management, the power flow of transmission network and distribution network must be analyzed in a unified manner. In the actual power grid, the number of distribution networks is huge, a...

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): H02J3/06
CPCH02J3/06H02J2203/20
Inventor 刘若愚龙雪涛黄翡陈辉欧明秀杨勇
Owner FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
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