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

Multi-scale spatial load predicting method balancing spatial heterogeneity

A technology for spatial load forecasting and spatial heterogeneity, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of ignoring spatial heterogeneity, lack of important factors in load forecasting accuracy, and affecting power grid system investment and operation Reasonability and other issues to achieve the effect of improving accuracy

Inactive Publication Date: 2014-01-29
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF1 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are two significant problems in this method: on the one hand, this method ignores the spatial heterogeneity of land use type changes, and the accuracy of load forecasting directly affects the rationality of grid system investment and operation; on the other hand , the use of a single scale may lead to the loss of some factors that affect the accuracy of load forecasting, even important factors, because some geographical phenomena or laws that affect load changes will only appear at a specific scale

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
  • Multi-scale spatial load predicting method balancing spatial heterogeneity
  • Multi-scale spatial load predicting method balancing spatial heterogeneity
  • Multi-scale spatial load predicting method balancing spatial heterogeneity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0038] figure 1 It is a flowchart of a multi-scale spatial load forecasting method considering spatial heterogeneity provided by the present invention. figure 1 Among them, a multi-scale spatial load forecasting method that takes into account spatial heterogeneity is characterized in that the method specifically includes the following steps:

[0039] Step 1: Divide the research area irregularly according to the size of the spatial variation coefficient in the research area, so as to obtain irregular partitions under a single scale;

[0040] The steps of dividing the research area irregularly according to the size of the spatial variation coefficient include:

[0041] Step 101: Set N initial central starting points i...

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 multi-scale spatial load predicting method balancing spatial heterogeneity, and relates to the field of electric planning and load predicting. According to the technical scheme, the method includes firstly dividing a study region irregularly according to spatial variation coefficients in the study region, performing cluster integration on irregular regions in a single scale according to similarity of the adjacent regions, and obtaining the irregular regions in multiple scales; adopting the C 5.0 decision tree algorithm, and obtaining conversion rules of the irregular regions in each multiple scale so as to drive cellular automata model simulating region land types to change; accordingly obtaining predicted load density of each lank type. The multi-scale spatial load predicting method balancing the spatial heterogeneity is provided on the basis of the spatial heterogeneity of geographical phenomena, distribution of power load in the space can be simulated in more reasonable and realistic manners, and accuracy of spatial load prediction is improved.

Description

technical field [0001] The invention belongs to the field of electric power planning and load forecasting, and in particular relates to a multi-scale spatial load forecasting method considering spatial heterogeneity. Background technique [0002] Spatial Load Forecasting (SLF) is the basis of power grid planning. The land use simulation method is currently the most accurate spatial load forecasting model. It simulates the future development of the community by establishing a land use simulation model, and finally predicts the total load. The results are assigned to the plots. However, there are two significant problems in this method: on the one hand, this method ignores the spatial heterogeneity of land use type changes, and the accuracy of load forecasting directly affects the rationality of grid system investment and operation; on the other hand , the use of a single scale may lead to the loss of some factors that affect the accuracy of load forecasting, even important f...

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
IPC IPC(8): G06F19/00G06F17/50
CPCY02E60/76Y04S40/22Y04S10/50
Inventor 赵强冯建朋李涛靳琳
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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