Furnace-entering blending combustion coal blending optimization method for thermal power generating unit

Abstract

The invention relates to the technical field of coal blending combustion, in particular to a coal blending optimization method for in-furnace blending combustion of a thermal power generating unit. Comprising the following steps: S1, acquiring historical operation data and historical blending combustion coal blending data of a thermal power generating unit, and calculating and acquiring an assessment index of corresponding blending combustion coal blending according to the acquired data; s2, re-screening out an optimal historical index according to the obtained historical assessment indexes; s3, in the optimization period, according to the assessment index of the prepared blending combustion coal, determining the optimization result of the blending combustion coal in the period; s4, in the next optimization period, the steps S2 to S3 are repeated, and the blending combustion coal blending scheme is optimized; the fuel purchase cost can be reduced to the maximum extent, and the overall economic benefit of the thermal power generating unit is improved; meanwhile, a coal blending scheme which is more friendly to the environment can be actively selected, pollutant emission is reduced, the environmental protection requirement is better met, and in addition, through dynamic adjustment of coal blending in each optimization period, optimization of in-furnace blending combustion coal blending can be rapidly achieved.

Description

Technical Field

[0001] The invention relates to the technical field of coal blending and combustion, and in particular to a method for optimizing coal blending and combustion in a thermal power unit. Background Art

[0002] With the continuous development of the economy, the demand for electricity is growing. As an important part of the power supply, thermal power units play a key role in ensuring the stable supply of energy. However, thermal power units face many challenges in operation, especially in terms of fuel cost, environmental protection and operational stability. There is an urgent need to optimize and improve them through scientific and effective means. The optimization of coal blending is an important research and practice direction.

[0003] Coal prices are constantly fluctuating due to factors such as market supply and demand, mining costs, etc. In order to control fuel costs, thermal power plants need to reasonably mix and match coal of different prices, and try to choose a more cost-effective coal blending plan while meeting the heat demand of normal power generation.

[0004] As a major energy consumer, the power industry is also actively transforming towards low-carbon and environmentally friendly development. Optimizing coal blending is an important measure for thermal power units to implement the concept of green development and enhance their sustainable development capabilities.

[0005] Based on this, the present invention provides a method for optimizing the blended coal for combustion in a thermal power unit to solve the above-mentioned technical problems. Summary of the invention

[0006] The purpose of the present invention is to provide a method for optimizing the blending of coal into the furnace of a thermal power unit. By calculating economic indicators and screening and optimizing coal blending schemes, the fuel procurement cost can be reduced to the greatest extent, fuel expenses can be significantly saved, and the overall economic benefits of the thermal power unit can be improved. At the same time, a more environmentally friendly coal blending scheme can be actively selected to reduce pollutant emissions and better meet environmental protection requirements. In addition, by dynamically adjusting the coal blending within each optimization cycle, the optimization of the blending of coal into the furnace can be quickly achieved.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The present invention provides a method for optimizing the blended coal for combustion in a thermal power unit, comprising the following steps:

[0009] S1. Obtain historical operation data and historical coal blending data of thermal power units, and calculate and obtain corresponding assessment indicators of coal blending based on the acquired data;

[0010] S2. Re-screen the best historical indicators based on the historical assessment indicators obtained;

[0011] S3. Determine the optimization result of the blended coal in the optimization cycle according to the evaluation index of the blended coal;

[0012] S4. In the next optimization cycle, repeat steps S2 to S3 to optimize the blended coal burning scheme.

[0013] The present invention is further configured as follows: in the step S1, the assessment indicators include economic indicators and environmental protection indicators.

[0014] The present invention is further configured as follows: the calculation formula of the economic index is: In the formula, α and β are economic coefficients, X i is the blending ratio of the i-th coal, P i is the price of the i-th type of coal, n is the number of coals, P A is the market coal price, and Q is the calorific value of the mixed coal.

[0015] The present invention is further configured as follows: the calculation formula of the environmental protection index is: In the formula, γ is the environmental protection coefficient, S1 is the ash content of the mixed coal, and S2 and S3 are the minimum and maximum moisture values ​​corresponding to all single coals.

[0016] The present invention is further configured as follows: in step S2, the process of screening out the best historical indicator is as follows:

[0017] Obtain various historical assessment indicators, and compare and obtain the historical assessment indicators corresponding to various historical blended coals;

[0018] Select the best economic and environmental indicators respectively;

[0019] If the optimal economic index and environmental index are the same historical blended coal, then this assessment index shall be used as the basic index;

[0020] Otherwise, calculate the values ​​of each assessment indicator and select the assessment indicator corresponding to the largest assessment indicator value as the basic indicator.

[0021] The present invention is further configured as follows: the assessment index value A=αF1+βF2, wherein α and β are weight coefficients.

[0022] The present invention is further configured as follows: in step S3, the process of determining the optimization result of coal blending within the cycle is as follows:

[0023] Calculate the assessment indicators of the blended coal prepared in this period respectively;

[0024] An optimized assessment indicator greater than the basic indicator will be selected;

[0025] Then, the values ​​of each optimization assessment index are calculated, and the assessment index corresponding to the value of the maximum optimization assessment index is selected as the optimization index;

[0026] The blended coal prepared according to the optimization index is used as the blended coal to be blended.

[0027] The present invention is further configured as follows: in the step S3, it also includes updating the coal blending database.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention can accurately consider the impact of factors such as prices of different types of coal, blending ratios and calorific value on costs through the calculation of economic indicators and the screening and optimization of coal blending schemes. It can find a solution that can meet the heat demand of unit operation and minimize fuel procurement costs by optimizing coal blending, thereby avoiding excessive use of high-priced coal. In the long run, it can significantly save fuel expenses and improve the overall economic benefits of thermal power units. At the same time, factors such as the ash content of mixed coal and the moisture content of coal are taken into consideration, so that the impact of coal blending on the environment can be quantitatively evaluated, which helps thermal power units to actively choose coal blending schemes that are more environmentally friendly, reduce pollutant emissions, and better meet environmental protection requirements. In addition, in the face of changes in external factors such as changes in coal supply and fluctuations in coal quality, through dynamic adjustment of coal blending within each optimization cycle, it is possible to quickly find a suitable combination of alternative coal types and coal blending ratios to maintain the heat supply, combustion efficiency and other parameters required for the normal operation of the unit within a reasonable range. DETAILED DESCRIPTION

[0030] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Example 1

[0032] This embodiment provides a method for optimizing the blending of coal into a thermal power unit, comprising the following steps:

[0033] S1. Obtain historical operation data and historical coal blending data of thermal power units, and calculate and obtain corresponding assessment indicators of coal blending based on the acquired data.

[0034] Among them, the assessment indicators include economic indicators and environmental protection indicators.

[0035] The calculation formula of economic indicators is: In the formula, α and β are economic coefficients, X i is the blending ratio of the i-th coal, Pi is the price of the i-th type of coal, n is the number of coals, P A is the market coal price, and Q is the calorific value of the mixed coal.

[0036] The calculation formula for environmental protection indicators is: In the formula, γ is the environmental protection coefficient, S1 is the ash content of the mixed coal, and S2 and S3 are the minimum and maximum moisture values ​​corresponding to all single coals.

[0037] In this embodiment, it should be noted that by obtaining the historical operating data of the thermal power unit and the historical coal blending data, the original data is provided for the subsequent accurate calculation of the assessment indicators; these data cover the past unit operation conditions and the data corresponding to different coal blending schemes. Based on the collected data, two important assessment indicators, economic indicators and environmental protection indicators, are calculated, so that the advantages and disadvantages of different coal blending schemes can be measured in a quantitative manner; economic indicators can intuitively reflect the cost performance of coal blending schemes, help enterprises control fuel procurement costs, and improve economic benefits; while environmental protection indicators focus on the impact of coal blending on the environment, meet current environmental protection requirements, and promote thermal power units to achieve green production during operation. The combination of the two can comprehensively evaluate the feasibility of coal blending schemes, which can ensure optimized economy and environmental protection.

[0038] S2. Re-screen the best historical indicators based on the historical assessment indicators obtained.

[0039] The process of selecting the best historical indicators is as follows:

[0040] Obtain various historical assessment indicators, and compare and obtain the historical assessment indicators corresponding to various historical blended coals;

[0041] Select the best economic and environmental indicators respectively;

[0042] If the optimal economic index and environmental index are the same historical blended coal, then this assessment index shall be used as the basic index;

[0043] Otherwise, calculate the values ​​of each assessment indicator and select the assessment indicator corresponding to the largest assessment indicator value as the basic indicator.

[0044] Furthermore, the assessment index value A=αF1+βF2, where α and β are weight coefficients.

[0045] In this embodiment, it should be noted that this embodiment finds the best indicator from a large number of historical assessment indicators, and can sort out and identify the effects of all past coal blending schemes, and extract the relevant indicators of the best performing scheme. By comparing the historical assessment indicators corresponding to each historical coal blending, and determining the basic indicators according to established rules (such as the same historical coal blending corresponding to the optimal economic and environmental indicators, or selecting by calculating the assessment indicator value), it provides a basis for comparison for subsequent judgment of whether the new coal blending scheme is optimized.

[0046] S3. During the optimization period, the optimization results of the blended coal are determined according to the assessment indicators of the prepared blended coal.

[0047] The process of determining the optimization results of coal blending within this period is as follows:

[0048] Calculate the assessment indicators of the blended coal prepared in this period respectively;

[0049] An optimized assessment indicator greater than the basic indicator will be selected;

[0050] Then, the values ​​of each optimization assessment index are calculated, and the assessment index corresponding to the value of the maximum optimization assessment index is selected as the optimization index;

[0051] The blended coal prepared according to the optimization index is used as the blended coal to be blended.

[0052] In addition, it also includes updating the coal blending database.

[0053] In this embodiment, it should be noted that, in a specific optimization cycle, by calculating the assessment index of the blended coal prepared in the cycle and comparing it with the basic index, a better assessment index and a corresponding coal blending scheme are screened out, thereby optimizing the coal blending in the current cycle and finding a better blended coal blending method than previous experience. This embodiment is optimized based on the blended coal prepared in the current cycle, taking into full account the currently available coal types, price fluctuations, and real-time operation requirements of the unit, and avoiding the problem of always using a fixed coal blending scheme and being unable to adapt to changes.

[0054] S4. In the next optimization cycle, repeat steps S2 to S3 to optimize the blended coal burning scheme.

[0055] In this embodiment, it should be noted that this embodiment constructs a continuous and periodic coal blending optimization cycle, so that the coal blending plan can be dynamically adjusted according to actual conditions and historical experience, ensuring the consistency and continuity of the optimization process. As the database is continuously updated, the data used for each subsequent indicator calculation, screening and optimization is richer and more accurate, making the entire optimization decision process more scientific and accurate, and reducing the possibility of decision-making errors.

[0056] The present invention can accurately consider the impact of factors such as prices of different types of coal, blending ratios and calorific value on costs through the calculation of economic indicators and the screening and optimization of coal blending schemes. It can find a solution that can meet the heat demand of unit operation and minimize fuel procurement costs by optimizing coal blending, thereby avoiding excessive use of high-priced coal. In the long run, it can significantly save fuel expenses and improve the overall economic benefits of thermal power units. At the same time, factors such as the ash content of mixed coal and the moisture content of coal are taken into consideration, so that the impact of coal blending on the environment can be quantitatively evaluated, which helps thermal power units to actively choose coal blending schemes that are more environmentally friendly, reduce pollutant emissions, and better meet environmental protection requirements. In addition, in the face of changes in external factors such as changes in coal supply and fluctuations in coal quality, through dynamic adjustment of coal blending within each optimization cycle, it is possible to quickly find a suitable combination of alternative coal types and coal blending ratios to maintain the heat supply, combustion efficiency and other parameters required for the normal operation of the unit within a reasonable range.

[0057] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0058] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for optimizing the blending of coal into a thermal power unit, characterized in that: The following steps are involved: S1. Obtain historical operation data and historical coal blending data of thermal power units, and calculate and obtain corresponding assessment indicators of coal blending based on the acquired data; S2. Re-screen the best historical indicators based on the historical assessment indicators obtained; S3. Determine the optimization result of the blended coal in the optimization cycle according to the evaluation index of the blended coal; S4. In the next optimization cycle, repeat steps S2 to S3 to optimize the blended coal burning scheme.

2. The method for optimizing the blending of coal into a thermal power plant according to claim 1, characterized in that: In the step S1, the assessment indicators include economic indicators and environmental protection indicators.

3. A method for optimizing coal blending for thermal power units according to claim 2, characterized in that: The calculation formula of the economic indicator is: In the formula, α and β are economic coefficients, X i is the blending ratio of the i-th coal, P i is the price of the i-th type of coal, n is the number of coals, P A is the market coal price, and Q is the calorific value of the mixed coal.

4. A method for optimizing coal blending for thermal power generation according to claim 2, characterized in that: The calculation formula of the environmental protection index is: In the formula, γ is the environmental protection coefficient, S1 is the ash content of the mixed coal, and S2 and S3 are the minimum and maximum moisture values ​​corresponding to all single coals.

5. The method for optimizing the blended coal for a thermal power unit according to claim 1, characterized in that: In step S2, the process of screening out the best historical indicators is as follows: Obtain various historical assessment indicators, and compare and obtain the historical assessment indicators corresponding to various historical blended coals; Select the best economic and environmental indicators respectively; If the optimal economic index and environmental index are the same historical blended coal, then this assessment index shall be used as the basic index; Otherwise, calculate the values ​​of each assessment indicator and select the assessment indicator corresponding to the largest assessment indicator value as the basic indicator.

6. A method for optimizing the blending of coal into a thermal power unit according to claim 5, characterized in that: The assessment index value A=αF1+βF2, where α and β are weight coefficients.

7. A method for optimizing coal blending for thermal power generation according to claim 1, characterized in that: In step S3, the process of determining the optimization result of coal blending in the cycle is as follows: Calculate the assessment indicators of the blended coal prepared in this period respectively; An optimized assessment indicator greater than the basic indicator will be selected; Then, the values ​​of each optimization assessment index are calculated, and the assessment index corresponding to the value of the maximum optimization assessment index is selected as the optimization index; The blended coal prepared according to the optimization index is used as the blended coal to be blended.

8. The method for optimizing the blended coal for a thermal power unit according to claim 1, characterized in that: In the step S3, it also includes updating the coal blending database.

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