Regional source network load system evaluation method based on cloud model

A cloud model, source network load technology, applied in information technology support systems, resources, data processing applications, etc., can solve the problem of lack of effective decision-making evaluation methods in the source network load system, and achieve the effect of improving operation efficiency

Inactive Publication Date: 2021-01-15
SOUTHEAST UNIV +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: The purpose of this invention is to solve the problem that the current source-grid-load system lacks an effective decision-making evaluation method, and propose a regional-level source-grid-load system evaluation method based on the cloud model. By constructing an evaluation system, the cloud model and the max-min method are combined Process the system evaluation index data, and use the multi-attribute decision-making method to obtain the evaluation values ​​of different decision-making schemes

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
  • Regional source network load system evaluation method based on cloud model
  • Regional source network load system evaluation method based on cloud model
  • Regional source network load system evaluation method based on cloud model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be further described below in conjunction with accompanying drawing:

[0033] Such as figure 1 As shown, the present invention discloses a cloud model-based regional source network load system evaluation method, including the following steps:

[0034] First, build system evaluation indicators, the indicators are shown in Table 1:

[0035] Table 1 Index content

[0036]

[0037] Among them, index A 2 ,A 4 is the data that can be directly obtained by the system, and the remaining indicators are the evaluation data based on semantics of experts. For the data obtained by the direct system, we convert it into a cloud model for unified calculation. Taking the constant c as an example, its conversion into a cloud model can be expressed as (c,0,0).

[0038] After that, the most important index and the least important index are determined, and the corresponding matrix is ​​generated, as shown in the formula (1)-(2), and the weight w of each ind...

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 regional-level source network load system evaluation method based on a cloud model, and the method comprises the steps: firstly building an evaluation system for a regional-level source network load system, and obtaining an evaluation result of an expert for each index; secondly, converting semantic evaluation of experts in the indexes by utilizing a cloud model to generate corresponding clouds, then calculating weights of the indexes in the evaluation system by adopting a max-min method to obtain accurate index weights, and finally calculating evaluation results of the experts by utilizing a multi-attribute decision-making method to finish accurate evaluation of the system at different moments. According to the regional source network load system evaluation method based on the cloud model, different decision schemes of the source network load system can be effectively evaluated, support is provided for source network load cooperative scheduling in a power grid, meanwhile, the operation efficiency of the regional source network load system can be improved, and a guarantee is provided for safe and reliable operation of the power grid.

Description

technical field [0001] The invention relates to a cloud model-based evaluation method for regional source-network-load systems, which belongs to the field of interaction between source-network-load systems of power systems. According to the current operating status of regional-level source-network-load systems, it is accurately evaluated to improve the operating efficiency of the system . Background technique [0002] As human beings are increasingly worried about the depletion of fossil energy and the deterioration of the environment, the replacement of traditional energy by renewable energy will continue to accelerate, more renewable energy will be connected to the grid, and the traditional distribution network will become more and more active. . At the same time, intermittent loads are gradually connected to the power grid, which greatly improves the flexibility of the distribution network. Therefore, regional-level source-network-load systems are being gradually launch...

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): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06Y04S10/50
Inventor 陈嘉琛杜璞良刘丰陈轩马子文冷钊莹方国权陈中
Owner SOUTHEAST UNIV
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