A Predictive Control Method for Optimal Power of Doubly-fed Induction Power Generation System

A technology for optimizing power and predictive control, applied in wind power generation, electrical components, circuit devices, etc., to achieve the effect of improving operation control performance, strong robustness, and simple control structure

Active Publication Date: 2015-10-07
ZHEJIANG UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above control methods have certain defects in the dynamic response of the system or in the steady-state operation, and cannot achieve ideal results at the same time. Therefore, in-depth research on the control of doubly-fed induction power generation systems has practical significance

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
  • A Predictive Control Method for Optimal Power of Doubly-fed Induction Power Generation System
  • A Predictive Control Method for Optimal Power of Doubly-fed Induction Power Generation System
  • A Predictive Control Method for Optimal Power of Doubly-fed Induction Power Generation System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings, and the purpose and effect of the present invention will be more obvious.

[0030] figure 1 It is a schematic diagram of a doubly-fed asynchronous wind turbine, including a wind turbine, a gearbox, a doubly-fed asynchronous wind generator DFIG18, a rotor-side converter RSC1, a grid-side converter GSC12, a filter inductor 15, a DC bus capacitor 16 and a step-up transformer .

[0031] figure 2 It is a principle diagram of a coordinated optimization power prediction control method for a doubly-fed asynchronous wind power generation system proposed by the present invention. Taking a 2KW variable-speed constant-frequency DFIG as an example, the method for coordinated and optimized power predictive control of a doubly-fed asynchronous wind power generation system proposed by the present invention is adopted, wherein the optimized power predictive control of RSC1 is in the d...

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 double-fed wind power generation system coordinative optimization power prediction control method. The method includes the following steps: discretizing the mathematical models of a double-fed asynchronous wind power generator and convertors of a grid side and a rotor side of the double-fed asynchronous wind power generator based on the mathematical models of the double-fed asynchronous wind power generator and convertors of the grid side and the rotor side of the double-fed asynchronous wind power generator, predicting the change situation of controlled variable when different control behaviors are imposed, setting a target function to choose an optimum control behavior, and achieving independent and effective control of active power and reactive power of a double-fed asynchronous wind power generation system. With the consideration of control delay effect existing in a real system, delay compensation can be achieved through two-step prediction. According to the double-fed induction power generation system optimization power prediction control method, optimizing control effects of the double-fed wind power generation system can be achieved. The double-fed induction power generation system optimization power prediction control method has the following advantages which are not possessed by traditional vector control and direct power control based on a switch list: the control structure is very simple, no complex coordinate transformation or controller parameter setting is needed, no hysteresis control and section judgment is needed, and no selecting method of vectors is needed to be considered. The double-fed induction power generation system optimization power prediction control method has a fast dynamic response function and good steady-state performance.

Description

technical field [0001] The invention relates to a variable-speed constant-frequency double-fed asynchronous wind power generation system grid-side and rotor-side voltage-type converter PWM control method in the field of wind power generation, in particular to a doubly-fed asynchronous wind power generation system coordinated optimization power prediction control method. Background technique [0002] Modern large-scale wind power generation systems mainly adopt two types of doubly-fed asynchronous generators (DFIG) and permanent magnet synchronous generators. In order to improve power generation efficiency, both adopt variable-speed constant-frequency power generation operation modes. Among them, DFIG has the most applications and the most mature technology, and is the current mainstream model. The double-fed wind power generation scheme can realize variable speed and constant frequency control, reduce the capacity of the converter, and can also realize decoupling control of ...

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 Patents(China)
IPC IPC(8): H02J3/00H02J3/01H02J3/38
CPCY02E10/763Y02E10/76Y02E40/40
Inventor 孙丹王霄鹤邓伦杰孙士涛
Owner ZHEJIANG UNIV
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