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

Improved binary particle swarm optimization algorithm-based power distribution network reconfiguration method

A technology of particle swarm optimization and distribution network reconfiguration, applied in calculation, calculation model, electrical components, etc., can solve problems such as endangering network stability and large network loss, and achieve fast calculation speed, reduced number of iterations, and convergence Good results

Inactive Publication Date: 2017-01-04
NANJING INST OF TECH
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A network with unbalanced load not only has a large loss, but may even endanger the stability of the entire network

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
  • Improved binary particle swarm optimization algorithm-based power distribution network reconfiguration method
  • Improved binary particle swarm optimization algorithm-based power distribution network reconfiguration method
  • Improved binary particle swarm optimization algorithm-based power distribution network reconfiguration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0089] The test system is simplified as image 3 As shown, including 13 distribution transformers and 16 branches, powered by 3 substations, it is assumed that each branch is equipped with a switch. The network contains three loops: the loop formed by branches 3,4,5,6; the loop formed by branches 7,8,9; the loop formed by branches 10,11,12,13,14. For each set of branches, only one switch can be turned on to maintain the radial structure of the network. Since branch 15 does not belong to any loop, it must remain closed to guarantee power. In this example, the dimension of the search space is 16, the number of particles in the population is 100, and the maximum number of iterations is 100, c 1 = 2.0, c 2 = 2.0.

[0090] Since the initial population is generated randomly, each iteration process will be slightly different. In order to test the convergence of the algorithm, the present invention has carried out 10 operations, and each operation converges to the same solution: n...

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 binary particle swarm optimization algorithm-based power distribution network reconfiguration method. According to the method, load equalization is adopted as an objective; a power distribution network reconfiguration problem is expressed as a nonlinear optimization problem with minimizing a load equalization index as an objective function; the topological structure model of a power distribution network is simplified according to the structure features of the open-loop operation of the power distribution network; a binary particle swarm optimization algorithm is improved; and therefore, the radial structure of the power distribution network can be ensured, at the same time, the number of iterations is greatly reduced. With the method of the invention adopted, a power distribution network reconfiguration problem in load equalization can be effectively solved. The method has fast calculation speed and excellent convergence.

Description

technical field [0001] The invention relates to a distribution network reconfiguration method based on an improved binary particle swarm optimization algorithm, and belongs to the technical field of distribution network reconfiguration. Background technique [0002] The balance of distribution network load is of great significance to reduce network loss and improve network stability and reliability. A network with unbalanced load not only has a large loss, but may even endanger the stability of the entire network. The distribution network is composed of a radial feeder system, and a section switch and a tie switch are installed on the feeder. By changing the state of the switch to change the network structure, the system can operate more flexibly, safely and economically. At present, scholars have used mathematical programming, genetic algorithm (Genetic Algorithm, GA), simulated annealing method, etc. to study the distribution network reconfiguration problem aimed at redu...

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): H02J3/00G06N3/00
CPCG06N3/006H02J3/00H02J2203/20
Inventor 陆文涛陆文伟顾佳易王蒙马寿虎
Owner NANJING INST OF TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com