Supercharge Your Innovation With Domain-Expert AI Agents!

Thermal power generation boiler main steam temperature control system based on hybrid intelligent optimization algorithm

An intelligent optimization algorithm and technology of control system, applied in control system, steam generation, biological neural network model, etc., can solve the problem of large temperature fluctuation of main steam, increased labor intensity of operators, inability to adapt to variable parameters of main steam temperature control system, etc. Problems such as large inertia and large time delay

Pending Publication Date: 2022-06-28
HUATIAN ENG & TECH CORP MCC
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the main steam temperature control system of thermal power units generally adopts the traditional PID cascade control. Although this control scheme is easy to debug on site, it cannot adapt to the characteristics of variable parameters, large inertia, and large time delay of the main steam temperature control system, which leads to the main The steam temperature automatic control system generally has a good automatic control quality when the load is stable, but in the process of load changes, start / stop coal mills, etc., the main steam temperature fluctuates greatly, and even the automatic cannot be put into operation, resulting in increased labor intensity for operators and unit output. and reduced safety and economics
[0004] Aiming at the problem that the control of the main steam temperature in the existing technology can not take into account the control of the main steam temperature of the boiler and its application in the actual industrial field, in order to solve the above-mentioned production technical problems, the present invention provides a method for controlling the main steam temperature of a power generation boiler , this method is applicable to the DCS system, which can reduce the work intensity of the on-site operators, improve the operating economy of the unit, and make the system have strong stability

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
  • Thermal power generation boiler main steam temperature control system based on hybrid intelligent optimization algorithm
  • Thermal power generation boiler main steam temperature control system based on hybrid intelligent optimization algorithm
  • Thermal power generation boiler main steam temperature control system based on hybrid intelligent optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] The main steam temperature control system of the thermal power boiler based on the hybrid intelligent optimization algorithm of the present invention is mainly divided into the following steps:

[0028] 1) RBF network model construction

[0029] Set the RBF network model input as: flue gas heat, main steam flow, desuperheating water flow. However, in the actual simulation process, since the heat of the flue gas cannot be measured directly, this paper uses the two variables of fuel amount and oxygen content of the flue gas to indirectly replace the heat of the flue gas as the input variable; Desuperheating water flow and secondary desuperheating water flow. Therefore, the input parameters of the RBF network model are: fuel volume, flue gas oxygen content, main steam flow, primary desuperheating water flow, secondary desuperheating water flow, among which the control variable desuperheating water flow, disturbance variables are the main steam flow, fuel volume, Oxygen c...

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 thermal power generation boiler main steam temperature control system based on a hybrid intelligent optimization algorithm. The system comprises a boiler main steam temperature cascade control system and an RBF-hybrid optimization algorithm controller serving as a main regulator for main steam temperature control. According to the boiler main steam temperature cascade control system, a leading area steam temperature PID controller serves as an auxiliary regulator and is used for coarse regulation of main steam temperature and quick response to generated interference; the RBF-hybrid optimization algorithm controller is formed by combining an RBF neural network boiler main steam temperature identification model and a hybrid optimization algorithm. And the main steam temperature is finely adjusted, so that the interference of the characteristics of strong hysteresis quality, large inertia and the like of the main steam temperature on the system can be quickly eliminated.

Description

technical field [0001] The invention relates to the technical field of combustion optimization of thermal power generation boilers, in particular to a main steam temperature control system of a power generation boiler. Background technique [0002] The superheater of a power generation boiler operates in a high temperature and high pressure environment, and the temperature of the superheated steam at the outlet is one of the main parameters of the boiler operation, which has a significant impact on the safe and economic operation of the power plant. If the main steam temperature is too high, the operation safety of the unit will be reduced. If the main steam temperature is too low, the thermal efficiency of the unit will be reduced, and the economy will not be guaranteed. At the same time, the low temperature of the main steam will increase the water content of the steam, thereby shortening the service life of the steam turbine. Therefore, the main steam temperature of the...

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): F22B35/18G06N3/04
CPCF22B35/18G06N3/045
Inventor 许治顺龙建荣韩洪涛
Owner HUATIAN ENG & TECH CORP MCC
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More