Mixed multiattribute group decision making method for network frame reconstruction scheme evaluation

A technology for program evaluation and network structure reconstruction, which is applied in data processing applications, forecasting, instruments, etc., and can solve problems such as failure, unfavorable decision-making, and loss of information

Active Publication Date: 2014-08-20
SHANDONG UNIV
View PDF2 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This processing method will bring a lot of unnecessary workload, prolong the decision-making time, and will lose part of the information in the process of attribute unification, which is not conducive to the decision-making, and the decisio

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
  • Mixed multiattribute group decision making method for network frame reconstruction scheme evaluation
  • Mixed multiattribute group decision making method for network frame reconstruction scheme evaluation
  • Mixed multiattribute group decision making method for network frame reconstruction scheme evaluation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0070] Such as figure 1 As shown, the main steps of the mixed multi-attribute group decision-making method for network structure reconfiguration scheme evaluation are as follows:

[0071] S1: Determine the network and equipment status of each subsystem in the power system partition, dynamically determine the current recovery target, set the line weight as one of the line length, electrical distance, line charging capacitance or line operation time, and use the Dijkstra algorithm to obtain the restored network and Recover the weighted shortest paths between targets;

[0072] S2: Carry out simulation according to the network parameters and status of the subsystem to determine the value of the quantitative attribute. If the value of each attribute can pass the security check, the scheme meets the requirements; if a certain attribute does not meet the safe...

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 mixed multiattribute group decision making method for network frame reconstruction scheme evaluation. The mixed multiattribute group decision making method comprises the steps that the quantitative attribute and the qualitative attribute of each subsystem in power system subareas are determined, a decision matrix is built, and the object weight of the attributes is determined according to the decision matrix; different decision makers in the group decision making process judge the relative importance of the attributes by using a pairwise comparison matrix or a fuzzy complementary judgment matrix respectively, the subjective weight is obtained, the subjective weight and the objective weight are combined to form a combination weight, a network frame reconstruction scheme is evaluated based on the combination weight and the decision matrix, and an optimal scheme and an alternative scheme are obtained. The method has the advantages that certain variables incapable of being given precisely and variables incapable of being precisely quantized in the restoring process are fully considered, the reliability and flexibility of the decision are improved, and restoring delay or even restoring failures caused by immature quantification methods and attribute precision are avoided.

Description

technical field [0001] The invention belongs to the field of electric power system restoration, and in particular relates to a mixed multi-attribute group decision-making method used for grid reconfiguration scheme evaluation in the electric power system restoration stage. Background technique [0002] Grid reconfiguration is an important stage of power system recovery. The main goal is to use the black start power supply to build a stable backbone grid and prepare for the full restoration of load. At this stage, it is necessary to strengthen the connection between power plants, improve the reliability of power supply for power plants, and carry out the paralleling of subsystems and the closing of loops within the system. Power system restoration is a multi-stage, multi-variable, multi-objective, and multi-constraint combinatorial optimization problem. In the restoration process with tight time, high pressure and heavy tasks, operation dispatchers urgently need a reliable au...

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): G06Q10/04G06Q50/06
Inventor 刘玉田孙蓬勃
Owner SHANDONG 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