PSO (Particle Swarm Optimization)-based wind energy capturing method of VSVF (Variable-speed Variable-frequency) wind power system

A particle swarm algorithm and wind power system technology, applied in computing, electrical digital data processing, computer-aided design, etc., can solve problems such as collaborative optimization of the pitch angle of wind turbines without variable frequency transformer speed

Inactive Publication Date: 2016-06-01
GUANGDONG UNIV OF TECH
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no co-optimization method for the variable fre

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
  • PSO (Particle Swarm Optimization)-based wind energy capturing method of VSVF (Variable-speed Variable-frequency) wind power system
  • PSO (Particle Swarm Optimization)-based wind energy capturing method of VSVF (Variable-speed Variable-frequency) wind power system
  • PSO (Particle Swarm Optimization)-based wind energy capturing method of VSVF (Variable-speed Variable-frequency) wind power system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Such as figure 1 As shown, the maximum wind energy capture method of variable speed and variable frequency wind power system based on particle swarm optimization, the variable speed and variable frequency wind power system includes multiple permanent magnet synchronous wind turbines and variable frequency transformers connected to them, and the variable frequency transformers are connected at power frequency In the power grid, the variable frequency transformer includes a double-fed motor and a DC motor mechanically connected to the double-fed motor, the DC motor is electrically connected to a drive circuit, and the drive circuit is connected to a transformer. It is characterized in that its work includes the following step:

[0036] Step 1: Collect the real-time wind speed of each permanent magnet synchronous wind turbine in the variable-speed and variable-frequency wind power system, and assign it to the M-dimensional wind speed vector V ...

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 PSO (Particle Swarm Optimization)-based maximum wind energy capturing method of a VSVF (Variable-speed Variable-frequency) wind power system. Aiming at the VSVF wind power system which is formed by a variable-frequency transformer and multiple parallel-running permanent magnetic synchronous wind power generation units, cooperative optimization can be carried out on the rotating speed of the variable-frequency transformer and the pitch angles of all permanent magnetic synchronous wind power generation units through PSO, so that the capturing of maximum wind energy of the VSVF wind power system is realized. Compared with a univariate optimization method aiming at the rotating speed of the variable-frequency transformer, a PSO-based multivariate optimization method provided by the invention is capable of obtaining more wind energy.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for capturing wind energy of a variable-speed and variable-frequency wind power system based on a particle swarm algorithm. Background technique [0002] Offshore wind power has the advantages of high wind speed, low turbulence intensity, and stable wind speed and direction, and is the main trend of the development of the wind power industry. However, the difficulty of offshore operation leads to high maintenance costs of offshore wind turbines. The constraints of weather and marine environment make it difficult to repair wind turbines in time after failure, which will reduce the effective power generation time. Therefore, the reliability of offshore wind turbines has a great impact on wind power The economic benefits of the field have a great impact. [0003] Using variable frequency transformers to control multiple permanent magnet synchronous wind turbi...

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): G06F17/50G06Q50/06
CPCG06F30/20G06F2119/06G06Q50/06Y02E60/00
Inventor 陈思哲熊国专唐雄民章云孟安波
Owner GUANGDONG UNIV 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