Proportion variation particle swarm algorithm-based reactive power optimization method for power distribution network

A technology of mutation particle swarm and optimization method, applied in the field of reactive power optimization of distribution network, can solve the problems of insufficient optimization degree, local optimization, poor convergence and so on

Active Publication Date: 2016-08-24
NANJING INST OF TECH
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the above algorithm, such as easy to

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
  • Proportion variation particle swarm algorithm-based reactive power optimization method for power distribution network
  • Proportion variation particle swarm algorithm-based reactive power optimization method for power distribution network
  • Proportion variation particle swarm algorithm-based reactive power optimization method for power distribution network

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0055] The reactive power optimization method of distribution network based on the proportion variation particle swarm algorithm, the specific implementation is as follows:

[0056] Establish a reactive power optimization mathematical model of the distribution network, that is, select the active power loss of the system as the fitness function, the formula is as follows:

[0057] min P L = X i , j ( V i 2 + V j 2 - 2 V i V j cosδ i j ) G i j

[0058] In the above formula: P L Is the active power loss of the network, V i , V j Respectively represent the voltages of nodes i and j, δ ij Represents the phase angle difference between node i and node j, G ij Represents the conductance between node i and node j; control variables include control variables such as generator terminal voltage, transformer gear, and reactive power compensation.

[0059] Then proceed as follows:

[0060] S1: Initialize the reac...

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 relates to a proportion variation particle swarm algorithm-based reactive power optimization method for a power distribution network. A method of proportion variation is added on the basis of a traditional particle swarm algorithm; when a certain condition is met during search for an optimal solution, variation can be carried out on a particle position according to the condition of each particle, so that the particle is prevented from falling into local optimum in the search process; in addition, the inertia weight of traditional linear change is also improved, the inertia weight is dynamically changed according to a feedback value, a w value becomes larger when the feedback value is greater than an average value, the particle search range is expanded, otherwise, the particle is searched in a relatively small range; and therefore, the whole particle space can be more accurately searched, and the convergence speed is also increased. Through verification, the proportion variation particle swarm-based reactive power optimization method for the power distribution network can be used for efficient management of the power distribution network when combined with an existing controllable device of the power distribution network, and higher convergence and optimization degree can be ensured during running.

Description

technical field [0001] The invention relates to a reactive power optimization method of a distribution network, in particular to a reactive power optimization method of a distribution network based on a particle swarm algorithm. Background technique [0002] In recent years, my country has vigorously advocated the use and development of renewable energy, and the access of distributed power sources and the construction of electric vehicle charging piles have gradually increased. These new changes have adverse effects on the voltage, loss, and reliability of the grid system. In order to reduce these influences and ensure the power supply quality of the power grid and the economic and safe operation of the system, it is necessary to regulate and control the on-load voltage regulation transformers and reactive power compensation devices that have been installed in my country's power grid. According to the requirements of the algorithm, the controllable on-load adjustable transf...

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): H02J3/18
CPCH02J3/00H02J3/18H02J2203/20Y02E40/30
Inventor 范广博王青云胡清
Owner NANJING INST 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