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

Multi-target model predictive control method of double-feed wind generating set

A double-fed wind power generation, multi-objective model technology, applied in wind power generation, electrical components, circuit devices, etc., can solve problems such as poor flexibility, high precision requirements, and limitations

Active Publication Date: 2019-04-26
HEFEI UNIV OF TECH
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1) The designed control strategy requires positive and negative sequence decomposition and coordinate transformation of unbalanced voltage and current, which requires a large amount of calculation and high precision requirements;
[0005] 2) Closed-loop control of the proportional-integral regulator of the current loop in the synchronous rotating coordinate system can only achieve one control target
[0007] 1) In the reference command of closed-loop control, each current command value can only correspond to a unique control target, and the flexibility is poor;
[0008] 2) The command value calculation rules in the suppression strategy are complex and limited in actual operation control

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
  • Multi-target model predictive control method of double-feed wind generating set
  • Multi-target model predictive control method of double-feed wind generating set
  • Multi-target model predictive control method of double-feed wind generating set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] Such as figure 1 As shown, in this embodiment, the multi-objective model control structure of the doubly-fed wind turbine under the unbalanced grid voltage includes exactly the control objects: figure 1 Rotor side converter, rotor winding current Hall element, photoelectric speed measuring encoder, stator terminal voltage Hall element, delay compensation link, DSOGI positive and negative sequence decomposition, DSOGI-PLL, vector selection optimization, predictive control, error Function J.

[0069] Basic parameter setting when the present invention is implemented is as follows:

[0070] Rated power P of doubly-fed wind turbine s 11kW, rated frequency f is 50Hz, grid voltage U abc 190V, DC bus voltage U dc is 300V, the number of motor pole pairs P is 3, and the stator resistance R s 0.7Ω, the rotor resistance R r is 0.59Ω, the stator and rotor mutual inductance L m is 0.1089H, the stator winding self-inductance L s is 0.0021H, the rotor winding is fully self-indu...

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 multi-target model predictive control method of a double-feed wind generating set. The multi-target model predictive control method comprises the steps: 1, the stator voltageand a rotor current are sampled, discreted, and subjected positive and negative sequence decomposition; 2, positive and negative sequence components of the stator voltage and the rotor current are predicted in two steps through a predictive equation; 3, the result is calculated according to a proposed error function equation, and suitable switching vector sa (k), sb (k) and sc (k) are selected through finite control set model predictive control (FCS-MPC); and 4, alternative switching vectors for the next moment are determined according to an optimized voltage vector selection method. The capability of stable operation of the double-feed wind generating set under an unbalanced fault can be enhanced, meanwhile, complex coordinate transformation and rotor current instruction value calculation are avoided, and unified control over the rotor current of the double-feed wind generating set is achieved.

Description

technical field [0001] The invention focuses on the technical field of new energy power generation and studies the control method of the doubly-fed wind power generating set, relates to a control strategy of the doubly-fed wind power generating set under unbalanced grid voltage, and in particular relates to a multi-objective model predictive control method. Background technique [0002] With the continuous development of wind power generation technology, wind energy has become one of the most promising renewable energy sources for large-scale application. Among them, the wind power generation system based on double-fed induction generator has the advantages of variable speed constant frequency and four-quadrant operation capability, independent adjustment of active and reactive power, small converter capacity, etc., and has been widely used in the field of wind power generation. However, because the stator of the DFIG is directly connected to the grid, it is easily affected ...

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): H02J3/38
CPCH02J3/386H02J2203/20Y02E10/76
Inventor 谢震冯艳涛牛立凡张兴杨淑英
Owner HEFEI 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