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

Electric power system multi-target reactive power optimization method based on DNA fuzzy genetic algorithm

A fuzzy genetic algorithm and power system technology, applied in the field of multi-objective reactive power optimization of power systems based on DNA fuzzy genetic algorithm, can solve problems such as multi-objective reactive power optimization, and achieve improved convergence speed and calculation accuracy, small static voltage The effect of stability margin and strong population diversity

Inactive Publication Date: 2018-05-18
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a multi-objective reactive power optimization method for power systems based on DNA Fuzzy Genetic Algorithm (DNA-FGA), which effectively solves the problems of the existing genetic algorithm in solving multi-objective reactive power optimization problems. defect

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
  • Electric power system multi-target reactive power optimization method based on DNA fuzzy genetic algorithm
  • Electric power system multi-target reactive power optimization method based on DNA fuzzy genetic algorithm
  • Electric power system multi-target reactive power optimization method based on DNA fuzzy genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The following describes the technical solutions of the present invention clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0018] The multi-objective reactive power optimization method of power system based on DNA fuzzy genetic algorithm provided by the present invention includes the following steps:

[0019] (1) Taking the minimum active power loss of the system and the maximum static voltage stability margin as the goal, considering the equality constraints and inequality constraints, a multi-objective reactive power optimization model of the power system is established.

[0020] ...

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 electric power system multi-target reactive power optimization method based on a DNA fuzzy genetic algorithm, and relates to the electric power system multi-target reactivepower optimization technical field; the electric power system multi-target reactive power optimization method based on the DNA fuzzy genetic algorithm can code the control variables of the system in aDNA chain form, and can carry out genetic operations for individuals of population on said basis; the method combines the fuzzy control theory with the DNA genetic algorithm, can adjust the intersecting rate, the variation rate and inversion operation rate online according to the evolution condition of the algorithm, thus effectively improving the algorithm convergence speed and calculation precision; compared with a normal genetic algorithm, the DNA fuzzy genetic algorithm is faster in convergence speed, higher in calculation speed and stronger in population diversity when carrying out multi-target reactive power optimization, thus providing very well applicability for high dimension, multi-constraint and non-linear complex reality problems, such as electric power system reactive power optimization.

Description

Technical field [0001] The invention belongs to the technical field of power system multi-objective reactive power optimization, and in particular relates to a power system multi-objective reactive power optimization method based on DNA fuzzy genetic algorithm. Background technique [0002] Power system reactive power optimization is an important way to improve voltage quality, reduce network losses, and improve voltage stability. Mathematically, reactive power optimization is a typical nonlinear programming problem, which has the characteristics of nonlinearity, discontinuity, multi-variable and multi-constraint. [0003] As a global optimization method, genetic algorithm is an effective means to solve reactive power optimization problems. However, the binary coding method of conventional genetic algorithm cannot express rich genetic information, and during the evolution process, the crossover rate and mutation rate are fixed, resulting in When solving multivariable optimization ...

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): H02J3/18
CPCH02J3/18H02J2203/20Y02E40/30
Inventor 刘光时孙志媛窦骞梁水莹刘默斯王晓明丘浩张翌晖
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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