Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm

A discrete particle swarm and fault recovery technology, applied in instrumentation, data processing applications, forecasting, etc., can solve the problems that the algorithm performance is greatly affected, and the calculation time cannot meet the real-time requirements of the micro-distribution network system.

Inactive Publication Date: 2014-10-22
ZHEJIANG UNIV OF TECH
View PDF2 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the PSO algorithm has good convergence and accuracy, its calculation time still cannot meet the real-time requirements

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
  • Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm
  • Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm
  • Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] Refer to attached picture

[0064] The intelligent fault recovery method based on the multi-objective discrete particle swarm intelligent optimization algorithm includes the following steps:

[0065] Step 1, initialize parameters.

[0066] 1-1) Determine the maximum number of iterations, the number of particles, the number of dimensions, the learning factor, the value of inertia weight in the discrete particle swarm optimization algorithm, as well as the calculation formulas and corresponding parameters of various objective functions. The method of the present invention-the fault recovery method based on the discrete particle swarm intelligent distribution network includes three aspects of the objective function:

[0067] i) Restoring as many de-energized loads as possible

[0068] max f 1 = Σ ...

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 an intelligent power distribution network fault recovery method based on a multi-target discrete particle swarm. The method comprises the following steps: 1), initializing parameters; 2), initializing a position and a speed of a discrete particle swarm optimization algorithm, and according to intelligent power distribution network island dividing and load recovery algorithms, calculating each fitness value fitness k relative to a multi-target function for each particle; 3), based on a fitness control concept, performing classification of a control population and a non-control population; 4), according to a corresponding updating rule, updating a particle position and a particle speed in the control population; 5), performing dynamic exchange between the control population and the non-control population; 6), detecting whether a maximum iteration frequency is reached, and if the maximum iteration frequency is reached, skipping to step (4), and otherwise, entering step 7); and 7), outputting a final optimization result.

Description

technical field [0001] The invention relates to a fault recovery method including distributed generation and distribution, in particular to a fault recovery method for an intelligent distribution network based on multi-objective discrete particle swarms. Background technique [0002] Smart distribution network is the direction of future power grid planning and construction. "Smart grid" refers to a modern power supply system that monitors, protects and automatically optimizes the operation of its internal interconnected components to effectively meet users' safe, reliable and diverse power supply needs. The intelligentization of power distribution and consumption is the focus of smart grid research, and the future intelligent distribution network will be the main component of smart grid. An intelligent distribution network requires a transformation from a traditional passive distribution network to an active one. This kind of distribution network is conducive to the access ...

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 陈明军冯杰陈俊宇
Owner ZHEJIANG 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