An Estimation Method of Cable Load Curve Based on Meteorological Information and Entropy Weight Theory

A technology of meteorological information and cable load, which is applied in the field of power system to ensure safe and stable operation and optimal utilization.

Active Publication Date: 2018-01-05
SOUTH CHINA UNIV OF TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the commonly used cable load estimation method often performs mathematical simple fitting on the load conditions of each day without screening, which is far from the actual cable load operation.

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
  • An Estimation Method of Cable Load Curve Based on Meteorological Information and Entropy Weight Theory
  • An Estimation Method of Cable Load Curve Based on Meteorological Information and Entropy Weight Theory
  • An Estimation Method of Cable Load Curve Based on Meteorological Information and Entropy Weight Theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention will be further described below in conjunction with specific examples.

[0048] The method for estimating the cable load curve based on meteorological information and entropy weight theory described in this embodiment takes quarters as a unit to obtain the cable reference daily load curve that is basically followed by each working day in a quarter, making full use of the A variety of meteorological information is used to select representative representative working days in the working day, and the load information of each month in each season is weighted by combining the meteorological information with the entropy weight theory, and finally the cable load information of the quarter is obtained. Daily load benchmark curve. The details are as follows:

[0049]1) Draw the meteorological coordinate map and determine the meteorological quadrant corresponding to the reference load (abbreviated as the reference meteorological quadrant). Since the load of...

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 discloses a cable load curve estimation method based on weather information and an entropy weight theory. The cable load curve estimation method includes the following steps that 1, a weather coordinate graph is drawn, and a weather quadrant (called a standard weather quadrant for short) corresponding to standard loads is determined; 2, representative days located in the standard weather quadrant are determined; 3, based on the entropy weight theory, the weight which load information of each month in one quarter accounting for is determined; 4, a cable standard day load curve of one quarter is obtained. The load fluctuation conditions of all cable lines can be learned easily, loads on the cables can be predicted reasonably and conveniently, which is beneficial for reasonably deploying the loads on the existing cable lines to achieve the optimal use ratio of a whole power grid, and safe and stable operation of the power grid is ensured in a more economical mode.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a cable load curve estimation method based on meteorological information and entropy weight theory. Background technique [0002] With the rapid development of economy and society and the improvement of people's living standards, the fluctuation of power load is becoming more and more obvious. Knowing the load fluctuations on each cable line is conducive to the reasonable allocation of load on the existing cable lines. In this way, the optimal utilization rate of the entire power grid can be achieved, and the safe and stable operation of the power grid can be guaranteed in a more economical way. [0003] The load fluctuation of the cable is affected by many factors such as working days and non-working days, time periods, and weather conditions. Since weekdays are more likely to exceed cable load ratings, it is more practical to estimate cable loads on weekdays. However, t...

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): G06F19/00
CPCY04S10/50
Inventor 刘刚陈艺璇王鹏
Owner SOUTH CHINA UNIV OF TECH
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