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

Turbine flow curve identification and optimization method based on feature flow area

A technology of flow area and optimization method, applied in mechanical equipment, engine components, machines/engines, etc., can solve problems such as insufficient response load, excessive load, and fluctuation of valve switching load.

Active Publication Date: 2016-02-10
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +3
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Steam turbine is the most widely used prime mover in modern thermal power plants, and the flow characteristic curve of its regulating valve group is determined according to the original design. In overhauled units, it often happens that the flow characteristic setting curve of the valve group is inconsistent with the actual curve
As the main actuator of the DEH system, the steam turbine valve group is the main actuator of the DEH system. If the deviation of its flow characteristics is too large, the throttling loss of the steam turbine will increase, the response load of primary frequency regulation will be insufficient or too large, the AGC response will be slow, and the valve switching load will fluctuate. Safe and stable operation of the unit

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
  • Turbine flow curve identification and optimization method based on feature flow area
  • Turbine flow curve identification and optimization method based on feature flow area
  • Turbine flow curve identification and optimization method based on feature flow area

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Such as figure 1 As shown, the steam turbine flow curve identification and optimization method based on the characteristic flow area of ​​the present invention comprises the following steps:

[0028] A. Set several sampling measuring points in the steam turbine unit, and set the sampling cycle and sampling time, collect the real-time working condition data of the steam turbine unit, and analyze whether the parameter types contained in the real-time working condition data of each sampling measuring point are complete. If the parameters If the type is missing, it will be collected again. If the parameter type is not missing, go to step B.

[0029] B. For all sampling points, if within the same sampling period, the real-time working condition data of one or more sampling measuring points has a parameter size of zero, that is, there is a blank working condition data, or the parameter size exceeds the constraints of its physical meaning In other words, when there is abnorma...

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 turbine flow curve identification and optimization method based on the feature flow area. The method comprises the following steps that A, multiple sampling measurement points are set, and real-time working condition data are collected; B, vacant working condition data and abnormal working condition data are cleared; C, the real-time working condition data of multiple sampling periods with the output power value, main steam pressure value and total valve position value continuous and stable are selected, and various parameters are subjected to equalization processing ; D, a target data set is mined through a K-medoids algorithm; E, a turbine control valve set flow feature curve under the specific main steam pressure is identified based on the feature flow area; and F, a turbine control valve set flow feature curve under the rated main steam pressure is extracted, and sections with unreasonable linearity are analyzed and optimized. The actual flow feature curve of a turbine control valve set under the specific main steam pressure can be identified and optimized, so that the set curve of the flow feature of the control valve set and the actual curve are consistent, and safe and stable operation of a turbine unit is ensured.

Description

technical field [0001] The invention relates to the technical field of steam turbine power generation, in particular to a steam turbine flow curve identification and optimization method based on a characteristic flow area. Background technique [0002] Steam turbine is the most widely used prime mover in modern thermal power plants, and the flow characteristic curve of its regulating valve group is determined according to the original design. In overhauled units, it often happens that the flow characteristic setting curve of the regulating valve group is inconsistent with the actual curve. As the main actuator of the DEH system, the steam turbine valve group is the main actuator of the DEH system. If the deviation of its flow characteristics is too large, the throttling loss of the steam turbine will increase, the response load of primary frequency regulation will be insufficient or too large, the AGC response will be slow, and the valve switching load will fluctuate. The s...

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): F01D17/00
Inventor 粱正玉杨涛王刚郭为民王宏伟李存文代凤霞段松涛朱峰唐耀华
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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