Thermoelectric load optimization scheduling system for multiple sets of gas-steam combined cycle units

A combined cycle unit and load optimization technology, which is applied in the field of electric power production and intelligent heating, can solve the problems of unit deviation from the optimal operation mode, unreasonable load distribution, and unit performance deterioration, so as to improve the quality of heat supply, realize economical operation, The effect of promoting intelligent development

Inactive Publication Date: 2019-07-30
SOUTHEAST UNIV
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Unreasonable load distribution causes the unit to deviate from the optimal operation mode, which not only increases energy consumption, but even deteriorates unit performance and affects safe operation

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
  • Thermoelectric load optimization scheduling system for multiple sets of gas-steam combined cycle units
  • Thermoelectric load optimization scheduling system for multiple sets of gas-steam combined cycle units
  • Thermoelectric load optimization scheduling system for multiple sets of gas-steam combined cycle units

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0039] With the rapid development of technologies such as computer, industrial control, thermal measurement and data processing, conditions have been provided for the optimal scheduling of thermal and electrical loads of multiple sets of gas-steam combined cycle units. The pressure, temperature, flow and other parameters of various equipment and pipeline working medium on site are measured by advanced thermal measuring instruments and transmitted to the DCS system of the power plant in real time. ...

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

Based on big data analysis and energy balance principles, the invention provides a thermoelectric load optimization scheduling system for multiple sets of gas-steam combined cycle units. The system obtains and uploads operating parameters of the gas-steam combined cycle unit measured and uploaded by field measurement instruments from a power plant DCS system; analyzes the operation parameters to obtain an actual operation trend curve of the equipment; combines the thermal demand and the power generation load demand as the total energy demand of the unit; the method aims at minimizing the totalconsumption of natural gas, thermal power and power generation load requirements of the thermal power plant are optimally distributed in all units through an optimization method, and the purposes that under the condition that the same thermal power and power generation load conditions are met, the comprehensive energy consumption of power generation and heat supply of the thermal power plant is the lowest, and the energy efficiency level is the optimal can be achieved. The system can effectively guide operating personnel to reasonably adjust the operating state, meet the production requirement, improve the heat supply quality, reduce the operating cost, achieve economic operation and improve the overall operating benefit of the thermal power plant.

Description

technical field [0001] The invention relates to the field of intelligent heat power and electric power production, in particular to a thermal and electric load optimization scheduling system for multiple sets of gas-steam combined cycle units based on big data analysis. Background technique [0002] Due to pressure from energy and the environment, more and more high-pollution, high-energy-consumption small thermal power plants have been shut down and replaced by gas-steam power plants characterized by high efficiency, low pollution, low cost, and quick start-stop. The combined cycle thermal power plant supplies external heat. Gas-steam combined cycle thermal power plants are generally equipped with more than two sets of combined heat and power units. The exhaust gas of the gas turbine passes through the waste heat boiler to generate steam and enters the steam turbine. Part of it generates electricity, and part of it is extracted or back-pressure exhausted into the heat netwo...

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): G06Q50/06F01K23/10
CPCF01K23/101G06Q50/06Y04S10/50
Inventor 王秋颖祖航钱星翔
Owner SOUTHEAST UNIV
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