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Coal blending combustion intelligent management method and system

A technology of intelligent management and coal blending, applied in information technology support systems, data processing applications, forecasting, etc.

Inactive Publication Date: 2019-09-13
HUADIAN POWER INTERNATIONAL CORPORATION LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above problems, the present invention provides an intelligent management method for coal blending and blending, which adopts a multi-objective global optimization model based on knowledge base, has strong generalization ability, and can calculate suitable It is based on the coal blending plan of the power plant and automatically executed. At the same time, based on the non-dominated sorting genetic algorithm with elite strategy, the result can be quickly calculated when there are many types of coal. In any case, the waiting time for coal blending calculation is less than 5s

Method used

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  • Coal blending combustion intelligent management method and system
  • Coal blending combustion intelligent management method and system
  • Coal blending combustion intelligent management method and system

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Embodiment 1

[0086] Such as figure 1 , figure 2 As shown, step 100 is executed, and the model construction module 200 establishes a coal blending rule library, and builds a coal blending and blending model. The coal blending model includes a set containing p independent variable parameters, a set containing K objective functions and A combination of L constraints is mathematically described as follows: Among them, x is the independent variable vector, y=y 1 +y 2 is the target vector, y 1 The indices in are called negative indices, y 2 The index in is called positive index, f(x) is the objective function, and the restriction condition is: g(x)=(g 1 (x), g 2 (x),...,g L (x))≤0, g(x) is a constraint condition, which is used to limit the feasible domain. Under the framework of the multi-objective optimization mathematical model, the multi-objective coal blending model includes basic parameters, constraints and objective functions. The basic parameters include the calorific value Q...

Embodiment 2

[0090] The present invention provides an intelligent management system for coal blending and blending combustion. Through the established coal blending and blending decision-making model, system process library, and coal blending rule library, the intelligent management system receives equipment-level perception signals and coal storage dynamics in coal yards. Information, coal quality information, boiler combustion demand information, and preset process library and other external interactive information are integrated and calculated, and the program-controlled operation plan of the coal-burning island is automatically generated according to the intelligent management requirements of the coal-burning island (coal receiving and unloading storage plan, distribution plan, etc.) Coal blending plan, sampling plan, etc.), early warning prompt information, event evaluation report and other decision-making and analysis instructions, and the instructions are issued to the program control...

Embodiment 3

[0168] Coal blending and combustion management system, through accurate calculation of fuel blending and coal blending, lean implementation, fine management, comprehensive intelligent blending optimization model, boiler design parameters, incoming coal information, power generation plan, load distribution, coal yard inventory, historical historical distribution Coal blending evaluation, equipment operating conditions and other factors generate a comprehensive and optimal blending plan for safety, economy, and environmental protection indicators, and guide coal procurement to improve support for production and operation decisions. The coal blending and burning module is mainly composed of coal yard coal extraction rule library, coal blending and burning rule library, raw coal bunker dynamic monitoring, coal blending process management, combustion evaluation feedback, coal handling system process flow library and other modules.

[0169] The coal-fired intelligent blending system ...

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Abstract

The invention provides a coal blending combustion intelligent management method and system, and the method comprises the steps: obtaining coal blending data, further comprising the following steps: building a coal blending rule base, and building a coal blending combustion model; obtaining an optimal coal blending scheme by utilizing a coal blending optimal solution algorithm according to the objective function; finely adjusting the optimal coal blending scheme according to the real-time data; and automatically implementing the optimal coal blending scheme, and acquiring combustion real-time data in the implementation of the optimal coal blending scheme. The invention provides a coal blending combustion intelligent management method. A multi-objective global optimization model based on a knowledge base is adopted; the method has powerful generalization ability, the coal blending scheme suitable for the power plant can be calculated and automatically executed under the condition that the coal type is complex and variable, meanwhile, on the basis of the non-dominated sorting genetic algorithm with the elitist strategy, the result can be rapidly calculated when the coal type is various, and the waiting time of coal blending calculation under any condition is shorter than 5 s.

Description

technical field [0001] The invention relates to the technical field of fuel management, in particular to an intelligent management method and system for coal blending and combustion. Background technique [0002] Fuel cost is the most important operating cost in the production and operation of thermal power plants or units. Coal consumption for power supply reflects the energy efficiency level of thermal power plants or units, and is usually a relatively stable value under stable coal quality conditions. Subject to the influence of supply and demand in the coal market, the price difference of fuel purchased from different coal mines is a real-time Fluctuating variables make the operating cost of thermal power plants vary greatly under different coal blending ratios, which is also the fundamental motivation for coal blending in thermal power plants. [0003] At present, boilers in thermal power plants are selected according to the corresponding design coal type. When the coa...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06
CPCG06Q10/04G06Q10/0631G06Q10/06315G06Q50/06Y04S10/50
Inventor 崔修强赵学山李其浩侯德安郭德宇
Owner HUADIAN POWER INTERNATIONAL CORPORATION LTD
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