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Multi-target coal distribution method based on uniform design

A uniform design and multi-objective technology, which is applied in neural learning methods, calculations, biological neural network models, etc., can solve the problems that single-objective models cannot simultaneously meet the requirements of economy, environmental protection, and resource-saving boiler efficient operation.

Active Publication Date: 2014-04-16
萍乡弘源煤化工有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] The purpose of the present invention is to provide a multi-objective coal blending method based on uniform design, which solves the problem that the single-objective model cannot simultaneously meet the requirements of economy, environmental protection, resource conservation, and efficient boiler operation.

Method used

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  • Multi-target coal distribution method based on uniform design
  • Multi-target coal distribution method based on uniform design
  • Multi-target coal distribution method based on uniform design

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Experimental program
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Embodiment

[0140] In this embodiment of the method, 3 phases of 10 single coals are used for mixing. With single coal, mixed coal (Q net,v,ar 、A ar , M ad , V daf , S t,ar 、C ar 、H ar , N ar , O ar , ST, SiO 2 、Al 2 o 3 , Fe 2 o 3 , CaO, MgO, Na 2 O, K 2 O, TiO 2 content) data were simulated on MATLAB. coal quality analysis see

[0141] Table 1.

[0142] Table 1 Coal quality analysis

[0143]

[0144]

[0145] The main design parameters of a thermal power plant boiler are used for calculation, including the pressure, temperature, flow rate, boiler calculation efficiency, excess air coefficient, etc. of main steam and reheat steam under different working conditions, as shown in Table 2.

[0146] Table 2 Main design parameters of boilers used for calculation

[0147]

[0148] Step 1: Establishment of parameter prediction model

[0149] A three-layer BP network is used to predict parameters. The input layer contains 3 neurons, the hidden layer contains 40 neuro...

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Abstract

The invention provides a multi-target coal distribution method based on uniform design. The method is carried out according to the following steps that the non-linear mapping relation between single-coal-type information and multiple-coal-type information is built through a BP neural network, and coal quality information of mixed coal is predicted; target factors are selected, corresponding weights are designed through uniform design, and a multi-target function is established; the predicted coal quality information of the mixed coal is substituted into the multi-target function to obtain target function values, the maximum target function value is found out through the genetic algorithm, and an optimal coal mixing plan is acquired; the fuel coal consumption corresponding to the optimal plan is calculated. The multi-target coal distribution method based on uniform design solves the problems that a single-target model can not meet the requirements of being economical and environmentally friendly, saving resources, achieving efficient operation of boilers and the like.

Description

technical field [0001] The invention belongs to the technical field of intelligent optimization methods, and relates to a coal-fired boiler optimization coal blending method, in particular to a multi-objective coal blending optimization method based on uniform design. Background technique [0002] Energy is the material basis for social development. Coal is the most abundant fossil fuel on earth, accounting for about 28% of the world's total energy consumption. my country is very rich in coal resources and is the largest coal producer and consumer in the world. Coal provides my country with more than 70% of fuel for power generation, 60% of chemical raw materials and 80% of civil fuel. Sulfur dioxide (SO 2 ), its emissions account for SO 2 More than 90% of the total emissions, the quality of coal combustion is uneven, and the content of ash and sulfur is high. The ash content is usually higher than 22%, and sometimes it can reach more than 40%; the sulfur content is genera...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/08
Inventor 张海英刘玉娇关海盈
Owner 萍乡弘源煤化工有限公司
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