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

Distribution network resource and information first-aid repair optimization scheduling method

A technology for optimizing scheduling and resources, applied in resources, instruments, data processing applications, etc., can solve problems such as difficult design of genetic codes, failure to meet multiple scheduling objectives, and short repair paths

Inactive Publication Date: 2016-02-10
STATE GRID CORP OF CHINA +1
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Existing optimal scheduling strategies for emergency repair resources are mainly aimed at single-objective functions, such as the shortest emergency repair path, the smallest power grid outage load, etc., which cannot meet the requirements of multi-objective dispatching
After comprehensive consideration of various resource constraints, genetic coding is difficult to design and algorithms are difficult to implement
When the emergency repair fault problem is complicated, it involves a large number of individual calculations, and the algorithm is difficult to converge in a short time
And the algorithm is easy to be premature, it is difficult to achieve global convergence, and it is easy to obtain a local optimal solution
[0008] Such a traditional genetic algorithm-based optimal scheduling strategy for emergency repair resources cannot meet the requirements of power supply companies for emergency repair resource scheduling

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
  • Distribution network resource and information first-aid repair optimization scheduling method
  • Distribution network resource and information first-aid repair optimization scheduling method
  • Distribution network resource and information first-aid repair optimization scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] As shown in the figure, the present invention includes the following steps:

[0047] 1) Set the variable:

[0048]

[0049] t ik It is the time for the repair team k to reach the fault point i; no later than t dik , t dik It is the longest time allowed for emergency repair teams to arrive at the scene.

[0050] e kij is the flow time from position i to position j for emergency repair team k;

[0051] q k is the emergency repair ability of the emergency repair team k; (the better the equipment of the emergency repair team, the q k higher value)

[0052] faultType i is the fault type of fault point i;

[0053] faultGrade i is the emergency degree of fault point i;

[0054] Objective function: min y = f ( x ) = min ( Σ k = 1 K ...

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 belongs to the technical field of first-aid repair optimization scheduling, and especially relates to a distribution network resource and information first-aid repair optimization scheduling method. The method provided by the invention is high in work efficiency of fault first-aid repair, and is high in resource utilization rate. The method comprises the following steps: 1) setting a variable (shown in the description), wherein tik is the time when a first-aid repair group k arrives at a fault point I, and is not less than tdik; tdik is the maximum time for allowing the first-aid repair group k to arrive at a scene; ekij is a passing time of the first-aid repair group k from the position i to the position j; qk is the first-aid repair capability of the first-aid repair group k; faultTypei is the type of a fault point i; faulGradei is the emergency degree of the fault point i; a target function is shown in the description; the optimization objective is to carry out the first-aid repair of an emergent fault in a preferential manner, and enables the first-aid repair time to be the shortest.

Description

technical field [0001] The invention belongs to the technical field of emergency repair optimization scheduling, and in particular relates to a distribution network resource and information emergency repair optimization scheduling method. Background technique [0002] At present, the optimal scheduling method for emergency repair resources of distribution network is mainly genetic optimal scheduling method. The fault location is genetically encoded, and then the population is crossed, selected, mutated, and the fitness is calculated. Iteratively obtains the best repair method. Finally, the genetic code is decoded to generate an optimal scheduling method for repair resources, so that the power failure load of the power grid is minimized or The repair path is the shortest. This optimization scheduling method is mainly aimed at the size of the power loss load, but less comprehensive consideration is given to various factors, such as the degree of urgency, the location of emerg...

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): G06Q10/06G06Q50/06
Inventor 黄哲洙李明林李胜
Owner STATE GRID CORP OF CHINA
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