CN104200285A - Optimization method for mixed fire coal blending in power plant - Google Patents

Optimization method for mixed fire coal blending in power plant Download PDF

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CN104200285A
CN104200285A CN201410455146.5A CN201410455146A CN104200285A CN 104200285 A CN104200285 A CN 104200285A CN 201410455146 A CN201410455146 A CN 201410455146A CN 104200285 A CN104200285 A CN 104200285A
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coal
ratio
cost
mixed
price
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CN201410455146.5A
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王桂林
周连升
张宇
周义刚
王森
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国家电网公司
国网天津市电力公司
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Publication of CN104200285A publication Critical patent/CN104200285A/en

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    • Y02E40/76
    • Y04S10/545

Abstract

The invention relates to an optimization method for mixed fire coal blending in a power plant. The optimization method comprises the following steps of: (1) carrying out an element analysis and an industrial analysis on various single coals forming combustion mixed coal in the power plant, in a laboratory; (2) predicating the NOx generation amounts of the single coals and the denitration efficiency of SCR according to a support vector machine, so as to obtain the cost of NOx; (3) predicating the cost of generating SO2 in the mixed coal; (4) predicating the price of the mixed coal; (5) calculating the cost of generating NOx by the mixed coal, the cost of generating SO2 by the mixed coal, and the price of the mixed coal respectively; (6) determining a constraint condition for optimizing the ratio of mixed coal blending; (7) obtaining the optimization ratio of each single coal from above; (8) obtaining the cost of the optimized mixed coal. The coal mixing scheme with the lowest cost is obtained by the method disclosed by the invention, thus achieving the purposes of controlling the emissions of pollutants, saving the running cost, and improving the enterprise economical efficiency.

Description

Coal-fired coal blending optimizing method is mixed by a kind of power plant

Technical field

The invention belongs to coal-burning power plant's technical field of power generation, coal-fired coal blending optimizing method is mixed by especially a kind of power plant.

Background technology

Along with the intensification of modernization and the enhancing of people's environmental protection consciousness, country gets up to environmental protection work pay attention to day by day, and pressure and the responsibility of fossil plant environment protection also grow with each passing day.Energy crisis in recent years has directly raised coal, oil and natural gas price.Raising and country " upper large pressure is little " policy to unit installed capacity due to operating personnel's level, increases the capacity of boiler, causes coal-supplying amount also to increase gradually.How, in the situation that guaranteeing that the normal operation of unit meets generated energy, reducing the cost of coal blending, thereby obtain minimum coal-fired coal blending cost, is a problem demanding prompt solution.

At present, for power plant's scheme of the fairly perfect coal-fired coal blending optimizing of neither one also, this scheme need to be considered the factor of environmental protection, the factor of boiler operatiopn, and can make enterprise obtain best benefit.

Summary of the invention

The object of the invention is in order to overcome the deficiencies in the prior art, provide a kind of power plant to mix coal-fired coal blending optimizing method.

The present invention solves its technical matters and takes following technical scheme to realize:

A coal-fired coal blending optimizing method is mixed by power plant, it is characterized in that comprising that step is as follows:

(1) in laboratory, to forming each single coal of planting of power plant's burning mixed coal, carry out ultimate analysis and technical analysis, specifically comprise: coal dust nitrogen content is analyzed, coal dust sulfur content is analyzed, and coal dust volatile content is analyzed, and coal powder fraction content analysis and coal dust net calorific value are analyzed;

(2), according to support vector machine, prediction list is planted the NOx growing amount of coal and the denitration efficiency of SCR, draws the cost of NOx;

Generate NOx growing amount * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx] of cost=Σ coal i ratio * coal i of NOx;

(3) in prediction mixed coal, produce SO 2cost:

The conversion ratio of SO2 cost=Σ 2 * S * coal i ratio * coal i sulfur content * [FGD desulfuration efficiency * lime stone price+(1-FGD desulfuration efficiency) * discharge SO 2fine];

(4) prediction mixed coal price:

The price of mixed coal price=Σ coal i ratio * coal i;

(5) mixed coal is produced to the cost of NOx, the SO that mixed coal produces 2cost, and mixed coal price calculates respectively, objective function is:

Conversion ratio * coal i ratio * coal i sulfur content * [FGD desulfuration efficiency * lime stone price+(1-FGD desulfuration efficiency) * discharge SO of the NOx growing amount of minf (x)=Σ coal i ratio * coal i * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx]+Σ 2 * S 2fine] price of+Σ coal i ratio * coal i;

(6) determine the constraint condition of optimizing Coal Blending ratio;

(7) by drawing above each single optimized proportion of planting coal;

(8) by each single optimized proportion of planting coal of gained, the price according to price=Σ coal i ratio * coal i of mixed coal, can draw the mixed coal cost after optimization.

And the concrete grammar step of described step (2) is:

1. set up support vector machine kernel function:

Choose the N group data of different load section and train, input parameter and the output parameter of modeling sample are expressed as { x i, y i} n, x ibe i group input parameter, y ibe i group output parameter, N is sample size,

Adopt support vector machine method training pattern, select radial basis function as support vector machine kernel function:

K ( x i , x j ) = φ ( x i ) · φ ( x j ) = exp | ( | | x i - x j | | 2 2 σ 2 ) |

Parameter σ is nuclear parameter, and φ (x) is mapping function, and establishing required objective function is f (x i)=w φ (x i)+b, f (x i) be model predication value, w is weight coefficient vector, b is intercept.Introduce relaxation factor ξ i *and ξ iand permission error of fitting ε, ξ i *>=0, ξ i>=0, constraint condition is:

y i - w · φ ( x i ) - b ≤ ϵ + ξ i w · φ ( x i ) + b - y i ≤ ϵ + ξ i * ξ i * ≥ 0 ξ i ≥ 0 , i = 1 , . . . . . . N

2. set up model:

min R ( w , ξ , ξ * ) = 1 2 w · w + c Σ i = 1 k ξ + ξ *

Wherein constant c is penalty coefficient, c >=0,

Introduce Lagrangian function:

L ( w , b , ξ , ξ * , α , α * , γ , γ * ) = 1 2 w · w + C Σ i = 1 N ( ξ + ξ * ) - Σ i = 1 N α i [ y i - ( ξ i + ϵ + f ( x i ) ) ] - Σ i = 1 N α i * [ ξ i * + ϵ + f ( x i ) - y i ] - Σ i = 1 N ( γ i ξ i + γ i * ξ i * )

Wherein, α i, α i *, γ i, γ i *for Lagrange multiplier, be all greater than zero,

Ask function about w, b, ξ i, ξ i *minimum point, obtain:

∂ ∂ w L = 0 ⇒ w = Σ i = 1 N ( α i - α i * ) φ ( x i ) ∂ ∂ b L = 0 ⇒ Σ i = 1 N ( α i - α i * ) = 0 ∂ ∂ ξ i L = 0 ⇒ C - α i - γ i = 0 ∂ ∂ ξ i * L = 0 ⇒ C - α i * - γ i * = 0

Draw Lagrangian dual function:

ω ‾ ( α , α * ) w , b , ξ , ξ * = - 1 2 Σ i , j = 1 N ( α i - α i * ) ( α j - α j * ) K ( x i , x j ) - Σ i = 1 N ( α i + α i * ) ϵ + Σ i = 1 N ( α i + α i * ) y i

Now:

w = Σ i = 1 N ( α i - α i * ) φ ( x i ) , f ( x ) = Σ i = 1 N ( α i - α i * ) K ( x , x i ) + b

According to KKT conditional theorem, at extreme point, place has:

α i[ε+ξ i-y i+f(x i)]=0

α i*[ε+ξ i+y i-f(x i)]=0i=1,……,N

With this, draw:

ξ iγ i=0、ξ i *γ i *=0i=1,……,N

Thereby draw b, obtain model;

3. draw the cost of NOx:

Generate NOx growing amount * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx] of cost=Σ coal i ratio * coal i of NOx.

And, described step (6) specifically satisfy condition into:

The nitrogen content that Σ coal i ratio * coal i nitrogen content < sets;

The sulfur content that Σ coal i ratio * coal i sulfur content < sets;

The net calorific value that Σ coal i ratio * coal i net calorific value > sets;

The volatile content that Σ coal i ratio * coal i volatile content < sets.

Advantage of the present invention and good effect are:

1, the object of the present invention is to provide the prioritization scheme of a kind of power plant operation Coal Blending, on the basis of the technical analysis of the single kind coal that can measure in laboratory, ultimate analysis etc., under the condition of the actual state of power plant's operation and safe operation, by the minimum of cost, determine various single blending ratios of planting coal formation mixed coal, thereby draw the Coal Blending scheme after optimizing.

2, the invention provides a kind of method of coal blending optimizing, the method draws the Optimized Coal Blending scheme of economic benefit maximum by different Coal Blending modes.

3, the optimization method of Coal Blending scheme of the present invention adopts each single the kind on the ultimate analysis of coal and the basis of technical analysis obtaining in laboratory, the NOx and the SO that according to burning, produce 2cost, and the cost of mixed coal, then according to different requirements, thus draw the mixed coal scheme of cost minimization, both reached the discharge of controlling pollutant, save again the object that operating cost improves business economic.

Embodiment

Below the invention process is further described, following examples are descriptive, are not determinate, can not limit protection scope of the present invention with this.

Coal-fired coal blending optimizing method is mixed by a kind of power plant, experimental determination single, plant in the technical analysis, ultimate analysis basis of coal, under the condition of the actual state of power plant's operation and safe operation, by the minimum principle of cost, determine each single blending ratio of planting coal formation mixed coal, thereby draw the Coal Blending scheme after optimizing

The present invention includes following steps:

(1) in laboratory, to forming each single coal of planting of power plant's burning mixed coal, carry out ultimate analysis and technical analysis, specifically comprise: coal dust nitrogen content is analyzed, coal dust sulfur content is analyzed, and coal dust volatile content is analyzed, and coal powder fraction content analysis and coal dust net calorific value are analyzed;

(2), according to support vector machine, prediction list is planted the NOx growing amount of coal and the denitration efficiency of SCR, draws the cost of NOx;

1. support vector machine kernel function: get total coal-supplying amount and each layer of coal-supplying amount; Coal characteristic gets nitrogen; Each layer first and second baffle ventilation door aperture; Represent the burner hearth oxygen amount of excess air coefficient; Represent unburned carbon in flue dust and the ash content carbon of fuel after-flame degree; Feed temperature and exhaust gas temperature, ammonia spraying amount, output quantity is NO xgrowing amount and SCR denitration efficiency,

Choose the N group data of different load section and train, input parameter and the output parameter of modeling sample are expressed as { x i, y i} n, x ibe i group input parameter, y ibe i group output parameter, N is sample size,

Adopt support vector machine method training pattern, select radial basis function as support vector machine kernel function:

K ( x i , x j ) = &phi; ( x i ) &CenterDot; &phi; ( x j ) = exp | ( | | x i - x j | | 2 2 &sigma; 2 ) |

Parameter σ is nuclear parameter, and φ (x) is mapping function, and establishing required objective function is f (x i)=w φ (x i)+b, f (x i) be model predication value, w is weight coefficient vector, b is intercept.Introduce relaxation factor ξ i *and ξ iand permission error of fitting ε, ξ i *>=0, ξ i>=0, constraint condition is:

y i - w &CenterDot; &phi; ( x i ) - b &le; &epsiv; + &xi; i w &CenterDot; &phi; ( x i ) + b - y i &le; &epsiv; + &xi; i * &xi; i * &GreaterEqual; 0 &xi; i &GreaterEqual; 0 , i = 1 , . . . . . . N

2. model is established as:

min R ( w , &xi; , &xi; * ) = 1 2 w &CenterDot; w + c &Sigma; i = 1 k &xi; + &xi; *

Wherein constant c is penalty coefficient, c >=0,

Introduce Lagrangian function:

L ( w , b , &xi; , &xi; * , &alpha; , &alpha; * , &gamma; , &gamma; * ) = 1 2 w &CenterDot; w + C &Sigma; i = 1 N ( &xi; + &xi; * ) - &Sigma; i = 1 N &alpha; i [ y i - ( &xi; i + &epsiv; + f ( x i ) ) ] - &Sigma; i = 1 N &alpha; i * [ &xi; i * + &epsiv; + f ( x i ) - y i ] - &Sigma; i = 1 N ( &gamma; i &xi; i + &gamma; i * &xi; i * )

Wherein, α i, α i *, γ i, γ i *for Lagrange multiplier, be all greater than zero,

Ask function about w, b, ξ i, ξ i *minimum point, obtain:

&PartialD; &PartialD; w L = 0 &DoubleRightArrow; w = &Sigma; i = 1 N ( &alpha; i - &alpha; i * ) &phi; ( x i ) &PartialD; &PartialD; b L = 0 &DoubleRightArrow; &Sigma; i = 1 N ( &alpha; i - &alpha; i * ) = 0 &PartialD; &PartialD; &xi; i L = 0 &DoubleRightArrow; C - &alpha; i - &gamma; i = 0 &PartialD; &PartialD; &xi; i * L = 0 &DoubleRightArrow; C - &alpha; i * - &gamma; i * = 0

Draw Lagrangian dual function:

&omega; &OverBar; ( &alpha; , &alpha; * ) w , b , &xi; , &xi; * = - 1 2 &Sigma; i , j = 1 N ( &alpha; i - &alpha; i * ) ( &alpha; j - &alpha; j * ) K ( x i , x j ) - &Sigma; i = 1 N ( &alpha; i + &alpha; i * ) &epsiv; + &Sigma; i = 1 N ( &alpha; i + &alpha; i * ) y i

Now:

w = &Sigma; i = 1 N ( &alpha; i - &alpha; i * ) &phi; ( x i ) , f ( x ) = &Sigma; i = 1 N ( &alpha; i - &alpha; i * ) K ( x , x i ) + b

According to KKT conditional theorem, at extreme point, place has:

α i[ε+ξ i-y i+f(x i)]=0

α i *[ε+ξ i+y i-f(x i)]=0i=1,……,N

With this, draw:

ξ iγ i=0、ξ i *γ i *=0i=1,……,N

Thereby draw b, obtain model;

3. draw the cost of NOx:

Generate NOx growing amount * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx] of cost=Σ coal i ratio * coal i of NOx;

(3) in prediction mixed coal, produce SO 2cost:

SO 2the conversion ratio of cost=Σ 2 * S * coal i ratio * coal i sulfur content * [FGD desulfuration efficiency * lime stone price+(1-FGD desulfuration efficiency) * discharge SO 2fine];

(5) prediction mixed coal price:

The price of mixed coal price=Σ coal i ratio * coal i;

(5) mixed coal is produced to the cost of NOx, the SO that mixed coal produces 2cost, and mixed coal price calculates respectively, objective function is:

Conversion ratio * coal i ratio * coal i sulfur content * [FGD desulfuration efficiency * lime stone price+(1-FGD desulfuration efficiency) * discharge SO of the NOx growing amount of minf (x)=Σ coal i ratio * coal i * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx]+Σ 2 * S 2fine] price of+Σ coal i ratio * coal i;

(6) optimize the constraint condition of Coal Blending ratio, meet following relation:

The nitrogen content that Σ coal i ratio * coal i nitrogen content < sets;

The sulfur content that Σ coal i ratio * coal i sulfur content < sets;

The net calorific value that Σ coal i ratio * coal i net calorific value > sets;

The volatile content that Σ coal i ratio * coal i volatile content < sets;

(7) by drawing above each single optimized proportion of planting coal;

(8) by each single optimized proportion of planting coal of gained, the price according to price=Σ coal i ratio * coal i of mixed coal, can draw the mixed coal cost after optimization.

The optimization method of Coal Blending scheme of the present invention adopts each single the kind on the ultimate analysis of coal and the basis of technical analysis obtaining in laboratory, the NOx and the SO that according to burning, produce 2cost, and the cost of mixed coal, then according to different requirements, thus draw the mixed coal scheme of cost minimization, both reached the discharge of controlling pollutant, save again the object that operating cost improves business economic.

Example

Yi Mou power plant is example, and single coal of planting that this power plant supplies mainly contains: bag is mixed, she is mixed, the mixed four kinds of coals in mixed luxuriant state, Shanxi.

Single ultimate analysis, technical analysis and coal price of planting coal:

According to actual conditions, the conversion ratio of sulphur is 85%; The denitration efficiency of SCR is through prediction, and the desulfuration efficiency that can be derived as 88.4%, FGD gets 95%; The fine of discharge NOx is 8.50 yuan/kg, discharge SO 2fine be 6.30 yuan/kg; The price of ammoniacal liquor is 2680 yuan/t, and the price of lime stone is 285 yuan/t.

At the nitrogen content of restriction mixed coal, not higher than 0.75%, sulfur content is higher than 0.78%, and volatile matter is higher than 29.5%, and net calorific value is not less than under the condition of 18002.6KJ/kg, draws each single ratio of planting coal in mixed coal, and the cost of mixed coal:

Claims (3)

  1. Coal-fired coal blending optimizing method is mixed by 1.Yi Zhong power plant, it is characterized in that comprising that step is as follows:
    (1) in laboratory, to forming each single coal of planting of power plant's burning mixed coal, carry out ultimate analysis and technical analysis, specifically comprise: coal dust nitrogen content is analyzed, coal dust sulfur content is analyzed, and coal dust volatile content is analyzed, and coal powder fraction content analysis and coal dust net calorific value are analyzed;
    (2), according to support vector machine, prediction list is planted the NOx growing amount of coal and the denitration efficiency of SCR, draws the cost of NOx;
    Generate NOx growing amount * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx] of cost=Σ coal i ratio * coal i of NOx;
    (3) in prediction mixed coal, produce SO 2cost:
    SO 2the conversion ratio of cost=Σ 2 * S * coal i ratio * coal i sulfur content * [FGD desulfuration efficiency * lime stone price+(1-FGD desulfuration efficiency) * discharge SO 2fine];
    (4) prediction mixed coal price: the price of mixed coal price=Σ coal i ratio * coal i;
    (5) mixed coal is produced to the cost of NOx, the SO that mixed coal produces 2cost, and mixed coal price calculates respectively, objective function is:
    Conversion ratio * coal i ratio * coal i sulfur content * [FGD desulfuration efficiency * lime stone price+(1-FGD desulfuration efficiency) * discharge SO of the NOx growing amount of minf (x)=Σ coal i ratio * coal i * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx]+Σ 2 * S 2fine] price of+Σ coal i ratio * coal i;
    (6) determine the constraint condition of optimizing Coal Blending ratio;
    (7) by drawing above each single optimized proportion of planting coal;
    (8) by each single optimized proportion of planting coal of gained, the price according to price=Σ coal i ratio * coal i of mixed coal, can draw the mixed coal cost after optimization.
  2. 2. coal-fired coal blending optimizing method is mixed by power plant according to claim 1, it is characterized in that: the concrete grammar step of described step (2) is:
    1. set up support vector machine kernel function:
    Choose the N group data of different load section and train, input parameter and the output parameter of modeling sample are expressed as { x i, y i} n, x ibe i group input parameter, y ibe i group output parameter, N is sample size,
    Adopt support vector machine method training pattern, select radial basis function as support vector machine kernel function:
    Parameter σ is nuclear parameter, and φ (x) is mapping function, and establishing required objective function is f (x i)=w φ (x i)+b, f (x i) be model predication value, w is weight coefficient vector, b is intercept.Introduce relaxation factor ξ i *and ξ iand permission error of fitting ε, ξ i *>=0, ξ i>=0, constraint condition is:
    2. set up model:
    Wherein constant c is penalty coefficient, c >=0,
    Introduce Lagrangian function:
    Wherein, α i, α i *, γ i, γ i *for Lagrange multiplier, be all greater than zero,
    Ask function about w, b, ξ i, ξ i *minimum point, obtain:
    Draw Lagrangian dual function:
    Now:
    According to KKT conditional theorem, at extreme point, place has:
    α i[ε+ξ i-y i+f(x i)]=0
    α i *[ε+ξ i+y i-f(x i)]=0???i=1,……,N
    With this, draw:
    ξ iγ i=0、ξ i *γ i *=0i=1,……,N
    Thereby draw b, obtain model;
    3. draw the cost of NOx:
    Generate NOx growing amount * [fine of SCR denitration efficiency * ammoniacal liquor price+(1-SCR denitration efficiency) * discharge NOx] of cost=Σ coal i ratio * coal i of NOx.
  3. 3. coal-fired coal blending optimizing method is mixed by power plant according to claim 1, it is characterized in that: described step (6) specifically satisfy condition into:
    The nitrogen content that Σ coal i ratio * coal i nitrogen content < sets;
    The sulfur content that Σ coal i ratio * coal i sulfur content < sets;
    The net calorific value that Σ coal i ratio * coal i net calorific value > sets;
    The volatile content that Σ coal i ratio * coal i volatile content < sets.
CN201410455146.5A 2014-09-09 2014-09-09 Optimization method for mixed fire coal blending in power plant CN104200285A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106873381A (en) * 2017-04-10 2017-06-20 内蒙古瑞特优化科技股份有限公司 Spray ammonia control system

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CN101422691A (en) * 2008-11-20 2009-05-06 武汉凯迪电力环保有限公司 Multi-pollutant removing technique and device of fuel coal smoke
CN101498457A (en) * 2009-03-02 2009-08-05 杭州电子科技大学 Boiler combustion optimizing method
US20110224830A1 (en) * 2006-04-25 2011-09-15 Pegasus Technologies, Inc. Control system for operation of a fossil fuel power generating unit
CN103885337A (en) * 2014-03-20 2014-06-25 国家电网公司 Low-nitrogen burning optimum NOx emission control method based on cost calculation

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110224830A1 (en) * 2006-04-25 2011-09-15 Pegasus Technologies, Inc. Control system for operation of a fossil fuel power generating unit
CN101422691A (en) * 2008-11-20 2009-05-06 武汉凯迪电力环保有限公司 Multi-pollutant removing technique and device of fuel coal smoke
CN101498457A (en) * 2009-03-02 2009-08-05 杭州电子科技大学 Boiler combustion optimizing method
CN103885337A (en) * 2014-03-20 2014-06-25 国家电网公司 Low-nitrogen burning optimum NOx emission control method based on cost calculation

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Publication number Priority date Publication date Assignee Title
CN106873381A (en) * 2017-04-10 2017-06-20 内蒙古瑞特优化科技股份有限公司 Spray ammonia control system
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