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

Distribution network reactive power optimization method based on multi-objective mixed big bang algorithm

An optimization method, multi-objective technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, circuit devices, etc., can solve problems such as poor convergence and accuracy, and inability to optimize reactive power in distribution networks , to achieve the effect of improving the convergence speed and calculation accuracy, improving the diversity, and improving the convergence speed

Inactive Publication Date: 2017-12-15
GUANGDONG UNIV OF TECH
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, for the reactive power optimization method of the distribution network containing DG, in the process of reactive power optimization calculation of the distribution network, its convergence and accuracy are not very good, and the distribution network containing DG cannot be accurately and quickly Perform reactive power optimization

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 reactive power optimization method based on multi-objective mixed big bang algorithm
  • Distribution network reactive power optimization method based on multi-objective mixed big bang algorithm
  • Distribution network reactive power optimization method based on multi-objective mixed big bang algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] Please refer to figure 1 , figure 1 It is a flow chart of a reactive power optimization method for a distribution network based on a multi-objective hybrid Big Bang algorithm provided by an embodiment of the present invention. The method can include:

[0051] Step 101: Acquire raw data; wherein, the raw data includes population size...

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 distribution network reactive power optimization method and a device based on a multi-objective mixed big bang algorithm. The method comprises steps: the objective function value of each fragment solution in the current population is calculated and acquired, and the first non-dominating set in the current population is determined; whether the number of iterations corresponding to the current population is smaller than the maximum iteration number is judged; if yes, an updating formula based on the multi-objective mixed big bang algorithm is used to carry out converge explosion on the current population, a new population is generated, and the objective function value of each fragment solution in the new population is calculated and acquired; and a second non-dominating set is updated. The updating formula based on the multi-objective mixed big bang algorithm is used to carry out converge explosion on the current population, the new population is generated, the population diversity can be improved by using the multi-objective mixed big bang algorithm, the fragment solution is guided to jump out of local optimum, the convergence speed is improved, and the convergence speed and the calculation accuracy of the distribution network reactive power optimization calculation are further improved.

Description

technical field [0001] The invention relates to the technical field of power electronics, in particular to a reactive power optimization method and device for a distribution network based on a multi-objective hybrid Big Bang algorithm. Background technique [0002] With the rapid development of my country's power industry, the number of power equipment nationwide has increased rapidly, and the installed capacity of power generation has continued to increase. However, at the same time, users have higher and higher requirements for the quality and stability of power supply. However, reactive power is an important factor affecting the voltage quality of power systems. Insufficient reactive power will cause a voltage drop, and if it falls below a critical value, it may even cause the system to crash. If the reactive power is excessive, the system voltage may be high, which will affect the service life of electrical equipment and cause waste of reactive equipment. [0003] In r...

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): H02J3/18H02J3/16H02J3/50
CPCH02J3/16H02J3/18H02J3/50H02J2203/20Y02E40/30
Inventor 杜敏智曹永军张学习
Owner GUANGDONG UNIV 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