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

Multi-model predictive control design method for coordinated control system of supercritical thermal power units

A technology for coordinating control systems and thermal power units, applied in general control systems, control/regulation systems, electrical program control, etc., and can solve problems such as heavy computational load, complex controller structure, and difficult engineering applications.

Active Publication Date: 2021-05-11
LIAOCHENG XINYUAN GRP CO LTD
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are nonlinear problems in the coordinated system. If the coordinated control strategy adopts nonlinear predictive control technology, there are problems such as complex controller structure and heavy calculation load, which is not easy for engineering application.

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-model predictive control design method for coordinated control system of supercritical thermal power units
  • Multi-model predictive control design method for coordinated control system of supercritical thermal power units
  • Multi-model predictive control design method for coordinated control system of supercritical thermal power units

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] Considering that the dynamic characteristic relationship between each sub-circuit in the coordination system is a self-balancing process but there are some inverse response characteristics, a perfect second-order model is used to simplify the controlled process, the model has zero points, and the coordination object of the supercritical thermal power unit A 3×3 multi-input and multi-output object can be used, and the range of local load point cells can be represented by the model shown in formula (1):

[0084]

[0085] In formula (1), k ij (i, j=1, 2, 3) is the gain coefficient, T ij (i,j=1,2,3), T abc (a, b=1,2,3; c=1,2) is the time constant, τ ij (i, j=1, 2, 3) is the delay time, and S is the Laplacian operator. Based on formula (1), the estimated prediction of the coordinated system output can use the following expression:

[0086]

[0087] In formula (2), y 1 (s), y 2 (s), y 3 (s) is the system output, u 1 (s), u 2 (s), u 3 (s) is the system input. ...

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-model predictive control design method for a coordinated control system of a supercritical thermal power unit based on a space metric algorithm, which is used for the control of the coordinated control system of a supercritical coal-fired unit and belongs to the field of thermal power engineering and automatic control. At present, the coordinated control system of machines and furnaces in most power plants is based on the conventional PID design. When operating in a wide range of variable operating conditions, the characteristics of large hysteresis, nonlinearity, and time-varying characteristics of the controlled objects in the machine-boiler coordination degrade the performance of the coordinated control system, resulting in the unit running During the process, problems such as low load regulation rate, poor precision, and large fluctuations in main steam pressure and steam temperature occurred. The present invention appropriately simplifies the traditional predictive control to realize the simplified design of linear predictive control, secondly combines the space metric algorithm to realize the selection of specific sub-models, and finally proposes a weighted soft switching strategy with simple calculation for the synthesis of multiple sub-controllers, which can significantly Improve the load regulation performance and unit operation stability of the 660MW unit to meet the needs of the project.

Description

technical field [0001] The invention relates to a multi-model predictive control design method for a coordinated control system of a supercritical thermal power unit based on a space metric algorithm, and belongs to the fields of thermal power engineering and automatic control. Background technique [0002] At present, the theme of my country's energy development is to achieve energy transformation while ensuring energy supply. It is imperative for thermal power units to participate in deep peak regulation of the power grid to accept new energy. The controlled object of an ultra-supercritical unit has the characteristics of large inertia, nonlinearity, time-varying, and strong coupling. At the same time, frequent and large-scale variable load adjustments further aggravate the nonlinear influence of the unit. In order to achieve the strategic goal of national energy transformation, thermal power units, which are the most reliable and bear the largest load share among the exis...

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): G05B19/418G05B13/04
CPCG05B13/0275G05B13/042G05B19/418Y02P90/02
Inventor 张玉雷王宗民宋世伟张正领林凡举张正玉张道林韩铁岭张德领李吉涛王晓冰
Owner LIAOCHENG XINYUAN GRP CO LTD
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