Efficiency dynamic optimizing operation closed-loop optimization control method based on optimum operating conditions of thermal generator set

A technology for thermal power generating units and optimal working conditions, which is applied in the direction of electrical program control, comprehensive factory control, etc., and can solve the problem of not realizing closed-loop optimization control of efficiency automatic control system.

Active Publication Date: 2012-08-01
内蒙古自治区电力科学研究院
View PDF4 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing generator set operation optimization system still only stays at the stage of providing optimization guidance and suggestions to op

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
  • Efficiency dynamic optimizing operation closed-loop optimization control method based on optimum operating conditions of thermal generator set
  • Efficiency dynamic optimizing operation closed-loop optimization control method based on optimum operating conditions of thermal generator set
  • Efficiency dynamic optimizing operation closed-loop optimization control method based on optimum operating conditions of thermal generator set

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0014] Example 1

[0015] Such as figure 1 As shown, the present invention is based on the flow chart of the closed-loop optimization control method for dynamic optimization of efficiency dynamic optimization operation of thermal power generating units based on optimal working conditions. The operating parameters of thermal power generating units are read from the DCS to the smart plug-in system through the network, and the smart plug-in system passes Optimize the control algorithm to obtain the operating parameter guide values ​​that optimize the efficiency of the unit and achieve the best operating conditions, and then return some valuable optimized parameter operating guide values ​​to the DCS system through the network, and introduce these optimized parameters to the unit automatic In the control system DCS, as the given value (command) of each automatic control system, the unit operating parameters are consistent with the optimized parameters through the adjustment of the aut...

Example Embodiment

[0028] Embodiment 2. Optimize the calculation process

[0029] 2.1 Forecast of unit operating parameters

[0030] Some key parameters of thermal power units, such as steam turbine exhaust enthalpy and fly ash carbon content, are difficult to accurately measure, and these parameters are necessary for the calculation of economic performance and optimization of unit operation. In recent years, the soft-sensing online monitoring technology has been greatly developed. This technology uses some variables that are easy to measure in real time and are closely related to the measured variable. Through online analysis, the method of estimating the unmeasurable or difficult to measure The core is the soft measurement model. At present, soft sensor modeling methods can generally be divided into: mechanism modeling, regression analysis, state estimation, pattern recognition, artificial neural networks, fuzzy mathematics, methods based on support vector machines and kernel functions, and modern...

Example Embodiment

[0111] Example 3

[0112] 1 Self-optimization mode to determine the target value

[0113] 1.1 Fuzzy comprehensive evaluation decision

[0114] Fuzzy comprehensive evaluation decision-making is to apply the fuzzy set method to make a single decision on the factors involved in the object, and then synthesize all aspects of the situation to give an overall decision for the object.

[0115] The mathematical model of fuzzy comprehensive evaluation and decision-making is composed of three elements, and its steps are divided into four steps:

[0116] (1) Factor set U={u 1 , U 2 ,...U n }, the set of factors of the judged object;

[0117] (2) Judgment set (evaluation set or decision set) V = {v 1 , V 2 ,...V m }, a collection of comments;

[0118] (3) Single factor judgment, that is, for a single factor u i (i=1,...,n), the fuzzy set (r i1 , R i2 ,...R im ), so it is a fuzzy mapping from U to V

[0119] f : U → F ( V ) u i → ( r i 1 , r i 2 ...

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 an efficiency dynamic optimizing operation closed-loop optimization control method based on optimum operating conditions of a thermal generator set, which includes the following steps: A1 reading set operation data from a generator set data communication system (DCS) to an intelligent plug-in system; A2 in the intelligent plug-in system, achieving integrated modeling and set efficiency optimizing operation according to the set operation data obtained by reading, and obtaining a set operation data guidance value of efficiency optimizing; A3 backward reading the set operation data guidance value to the DCS through a network, and achieving data filtering of an operation reference value in the DCS; A4 switching data commands in an automatic control system to the processed operation reference value, and achieving undisturbed switching of the system through logic programming; and A5 achieving efficiency automatic optimizing process of the system. Parameter automatic optimizing of the set can be achieved by means of automatic correction of the automatic control system commands and regulation of the automatic control system, and accordingly operating conditions of the set and efficiency of a generator set boiler and a steam turbine can be improved.

Description

technical field [0001] The invention relates to the technical field of thermal power generation, in particular to a closed-loop optimization control method for efficiency dynamic optimization operation based on the optimal working condition of a thermal power generating set. Background technique [0002] In the form of increasingly scarce fossil energy and increasingly serious environmental pollution, while accelerating the development of renewable energy, human beings are paying more attention to energy saving and consumption reduction in traditional industries. Thermal power plants are not only power generation enterprises but also energy-consuming enterprises. How to improve the operating economy of thermal power plants and reduce energy loss and pollutant emissions has become a hot topic of research at home and abroad. The thermal power plant operation optimization system is increasingly showing its importance as a function of guiding the optimal operation of the power p...

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): G05B19/418
Inventor 辛晓钢王彪李斌陈世慧周鹏杨建蒙陈起李卫华霍红岩李建强
Owner 内蒙古自治区电力科学研究院
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap