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

Optimization method of online thermal process identification and control algorithm of thermal power plant based on dual-objective parallel island-hfc hybrid model genetic programming algorithm

A hybrid model and genetic programming technology, applied in thermal automation intelligent control and evolutionary computing, can solve problems such as reduced efficiency and increased algorithmic operation cost

Active Publication Date: 2018-06-26
STATE GRID HEBEI ENERGY TECH SERVICE CO LTD +2
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the cost of doing so is that the calculation cost of the algorithm is greatly increased, and the efficiency is seriously reduced.

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
  • Optimization method of online thermal process identification and control algorithm of thermal power plant based on dual-objective parallel island-hfc hybrid model genetic programming algorithm
  • Optimization method of online thermal process identification and control algorithm of thermal power plant based on dual-objective parallel island-hfc hybrid model genetic programming algorithm
  • Optimization method of online thermal process identification and control algorithm of thermal power plant based on dual-objective parallel island-hfc hybrid model genetic programming algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0198] Attached below figure 1 - attached Figure 15 And embodiment further illustrate the present invention.

[0199] The concrete steps of embodiment are as follows:

[0200] 1. Build a hardware platform (see figure 1 )

[0201] The hardware platform includes a field distributed control system DCS and an industrial control computer; the distributed processing unit DPU in each cabinet of the field distributed control system DCS is connected by a DCS field bus double-redundant communication network; the field distributed The distributed processing unit DPU, input and output modules or communication cards in each cabinet of the control system DCS are connected through the communication bus in the DCS cabinet; the communication card in the first cabinet is connected to the RS485 serial communication port of the industrial control computer; The industrial control computer has a dual-core or above CPU; the communication card adopts a MODBUS communication card;

[0202] In t...

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 optimization method for a heat-engine plant thermal on-line process identification and control algorithm based on a dual-objective parallel ISLAND-HFC mixed model genetic programming algorithm. The steps comprise: 1, establishing a hardware platform; 2, the optimization method being completed by executing foreground interface software and background software by the hardware platform, the background software being formed by field test and data acquisition software, process identification software, and PID controller parameter optimization software. The method makes an ISLAND model and a HFC model organically combine together, anti-prematurity convergence property is good, multi-core CPU resources of an industrial control computer are fully used, multithreading run concurrently, evolution speed is fast, and the method is suitable to solve comprehensive problems. On one hand, dual-objective evolution controls errors between an evolution model and an ideal model, and on the other hand, the structure of an evolution individual is controlled, and finally, optimal individual structure and parameters satisfy requirements. For process identification, a field process model is accurately matched, and for parameter optimization of a PID controller, optimal proportion, integral, and differential parameters are obtained.

Description

technical field [0001] The invention relates to a thermal power plant thermal on-line process identification and optimization method for a control algorithm based on a dual-objective parallel ISLAND-HFC hybrid model genetic programming algorithm, and belongs to the technical fields of thermal automation intelligent control and evolutionary calculation. Background technique [0002] 1. Current status of thermal power plant control optimization [0003] Modern large-scale thermal power generation units operate with large capacity and high parameters, and the potential for energy saving and consumption reduction of coal-fired power generation is huge. At the same time, the country has increasingly stringent requirements for environmental protection such as zero emissions and low pollution. Energy saving is realized through on-site distributed control system (DCS) control optimization Environmental protection goals are already an urgent need for thermal power plants. More than ...

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): G05B19/418
CPCG05B19/41875Y02P80/10Y02P90/02
Inventor 袁晓磊彭钢马瑞徐新航
Owner STATE GRID HEBEI ENERGY TECH SERVICE 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com