Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Distribution network reconfiguration optimization method based on improved particle swarm optimization

A technology for improving particle swarm and distribution network reconfiguration, applied to electrical components, circuit devices, AC network circuits, etc., to achieve the effect of simplifying topology inspection, retaining high efficiency and robustness, and avoiding infeasible solutions

Active Publication Date: 2017-02-22
永春县产品质量检验所福建省香产品质量检验中心国家燃香类产品质量监督检验中心福建
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art, to provide a distribution network reconfiguration optimization method based on the improved particle swarm optimization algorithm, which can improve the global optimization ability of reconfiguration optimization, and solve the problem of a large number of problems in the distribution network reconfiguration. unsolvable technical problem

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 reconfiguration optimization method based on improved particle swarm optimization
  • Distribution network reconfiguration optimization method based on improved particle swarm optimization
  • Distribution network reconfiguration optimization method based on improved particle swarm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings.

[0048] Step 1: Simplify the power distribution network and perform particle swarm coding. The specific method is as follows:

[0049] S1-1: Coding does not consider branches that are not on the loop;

[0050] S1-2: Branches with the same ring-breaking effect are merged into a branch group, which is called a generalized branch;

[0051] S1-3: Use a particle dimension to represent a generalized branch in the network, and the size of the particle represents the branch number in the original network corresponding to this generalized branch.

[0052] Step 2: Particle swarm decoding, and the fitness function fitness corresponding to each particle is obtained through distribution network power flow calculation;

[0053]Step 3: Set the parameters of the improved particle swarm optimization algorithm, including particle swarm size M, learning factor c 1 and c 2 , the maximu...

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 improved particle swarm optimization based power distribution reconstruction optimization method. The improved particle swarm optimization based power distribution reconstruction optimization method comprises simplifying a power distribution network and encoding a particle swarm; decoding a particle swarm and calculating a fitness function which is corresponding to every particle; randomly initializing the particle swarm and giving a feasible solution for every particle; performing topology detection on the simplified network which is corresponding to every particle until all particles confirm to a power distribution network topology requirement; updating a position of every particle through algorithm iteration and performing simplified network topology detection; calculating a fitness value of every particle after position updating; assigning the position to Pi if the fitness value of the particle I is superior to the fitness value which is corresponding to an original individual extreme value position Pi; assigning the position to Pg if the fitness value of a current extreme value position Pi is superior to the fitness value of an original global extreme value Pg until a preset maximum number of iterations is achieved and enabling Pg to be an optimal solution. The improved particle swarm optimization based power distribution reconstruction optimization method has a rapid and efficient global optimization capability.

Description

technical field [0001] The invention relates to a distribution network reconfiguration optimization method based on an improved particle swarm algorithm. Background technique [0002] The distribution network system has the characteristics of closed-loop system and open-loop operation. Distribution network reconfiguration is an effective means to optimize the operation of distribution system. It mainly changes the network topology by switching the opening and closing states of tie switches and section switches to change the power flow in the network. Under normal operating conditions, the switching operation is performed according to the operating conditions to adjust the network structure. On the one hand, it can balance the load, eliminate overload, and improve the quality of the power supply voltage; on the other hand, it can improve the economy of the system operation. [0003] Distribution network reconfiguration is to ensure that the distribution network presents a ra...

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 Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 何小栋张强左智勇
Owner 永春县产品质量检验所福建省香产品质量检验中心国家燃香类产品质量监督检验中心福建
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
Eureka Blog
Learn More
PatSnap group products