A dynamic control system and method for flexible ammonia injection in an ammonia-doped coal-fired power plant

Abstract

The application discloses a kind of dynamic regulation and control system and method of ammonia-doped coal-fired power plant flexible ammonia injection, including ammonia injection port valve opening degree prediction model construction module, ammonia injection port valve opening degree prediction model training module, ammonia injection port valve opening degree prediction module, first judging module, ammonia input quantity adjustment module;The application takes the required working state change of coal-fired unit as trigger condition, realizes the dynamic regulation and control to the injection position and injection amount of ammonia, ensures that ammonia-doped coal-fired unit can also be safely and stably operated under variable load condition, to utilize BP neural network to realize specified optimal ammonia injection scheme, improve combustion environment, reduce the generation of NO x .

Description

Technical Field

[0001] This invention belongs to the field of ammonia-coal co-firing power generation technology, specifically relating to a dynamic control system and method for flexible ammonia injection in ammonia-coated coal-fired power plants. Background Technology

[0002] With rising global temperatures, controlling carbon dioxide (CO2) emissions has become an urgent priority. In the long road to carbon reduction, the carbon emissions from the power industry are significant. While the output of renewable energy sources such as wind and solar power is increasing year by year as dual-carbon goals are continuously pursued, the proportion of renewable energy generation remains relatively low due to the increasing electricity demand across society. Therefore, high-carbon fossil fuel coal-fired power units will continue to dominate China's power industry for a considerable period. To promote the development of dual-carbon goals, many scholars have proposed co-firing zero-carbon energy, ammonia, with fossil fuels. Ammonia has a high volumetric calorific value, and its combustion can significantly reduce CO2 emissions without changing the overall calorific value of the furnace. However, due to ammonia's low combustion rate and high ignition temperature, high ammonia-to-coal co-firing can lead to furnace flameout. Furthermore, ammonia is rich in nitrogen (N), and it poses serious health risks to humans and the atmosphere. Therefore, nitrogen oxides (NOx) must be carefully monitored during combustion. x The emissions of NH3 and the escape of NH3 from the tail end are among the phenomena that occur.

[0003] Currently, extensive research has found that NO2 is present during the ammonia-coal co-fired process. x The generation of NO is largely related to factors such as the mixing ratio of ammonia injected into the furnace, the position of the ammonia injection point from the burner, the injection rate of ammonia gas, and the excess air coefficient. Meanwhile, due to the instability of clean energy, thermal power generation needs to be used as a backup power source, requiring adjustments to its load as needed. However, methods for adjusting the load during ammonia-coal co-combustion are currently lacking, and the resulting NO... x The control and escape of NH3 cannot be precisely regulated. Summary of the Invention

[0004] To ensure more stable combustion of coal-fired power units under ammonia-coal mixed combustion conditions, the power generation load is adjusted according to the required power output, while reducing NOx emissions. x To address the generation of NH3 and suppress NH3 escape, this invention proposes a dynamic control method and system for flexible ammonia injection in ammonia-blended coal-fired power plants.

[0005] A dynamic control system for flexible ammonia injection in a coal-fired power plant, which achieves one of the objectives of this invention, includes a first judgment module, an ammonia injection valve opening prediction module, and an ammonia input adjustment module.

[0006] The first judgment module is used to determine whether it is necessary to adjust the amount of ammonia gas supplied to each pipeline based on the current operating data of the ammonia-blended coal-fired unit;

[0007] The ammonia nozzle valve opening prediction module is used to input the current operating data of the ammonia-blended coal-fired unit into the ammonia nozzle valve opening prediction model when it is necessary to adjust the amount of ammonia gas supplied to each pipeline to obtain the ammonia nozzle valve opening at multiple locations of the ammonia-blended coal-fired unit.

[0008] The ammonia input adjustment module is used to adjust the first and second parameters related to ammonia supply to target values, and adjust the opening of ammonia nozzle valves at multiple locations to the opening of ammonia nozzle valves output by the ammonia nozzle valve opening prediction module, thereby adjusting the ammonia supply of the ammonia-blended coal-fired unit.

[0009] Furthermore, it also includes a module for constructing a prediction model for ammonia nozzle valve opening and a module for training a prediction model for ammonia nozzle valve opening.

[0010] The ammonia nozzle valve opening prediction model construction module is used to obtain the mapping relationship between the operating data of the ammonia-blended coal-fired unit and the opening of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the BP neural network, thereby constructing the ammonia nozzle valve opening prediction model; the ammonia nozzle valve opening prediction model is used to predict the opening of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the current operating data of the ammonia-blended coal-fired unit, so as to adjust the amount of ammonia gas supplied to each pipeline;

[0011] The ammonia nozzle valve opening prediction model training module is used to train the prediction model based on the acquired historical operating data of the ammonia-blended coal-fired unit, and obtain the trained ammonia nozzle valve opening prediction model.

[0012] A dynamic control method for flexible ammonia injection in a coal-fired power plant, which achieves the second objective of this invention, includes the following steps:

[0013] Determine whether it is necessary to adjust the amount of ammonia supplied to each pipeline based on the current operating data of the ammonia-blended coal-fired power unit.

[0014] When it is necessary to adjust the amount of ammonia gas supplied to each pipeline, the opening degree of the ammonia injection valve at multiple locations of the ammonia-blended coal-fired unit is obtained based on the current operating data of the ammonia-blended coal-fired unit.

[0015] The ammonia supply of the ammonia-blended coal-fired unit is adjusted by adjusting the first and second parameters related to the ammonia supply to the target values ​​and adjusting the opening of the ammonia nozzle valves at multiple locations to the opening of the ammonia nozzle valves output by the ammonia nozzle valve opening prediction module.

[0016] Methods for obtaining the ammonia injection valve openings at multiple locations of an ammonia-blended coal-fired power unit based on current operating data include:

[0017] The mapping relationship between the operating data of the ammonia-blended coal-fired unit and the opening degree of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit is obtained by using a BP neural network, thereby constructing an ammonia nozzle valve opening degree prediction model; the ammonia nozzle valve opening degree prediction model is used to predict the opening degree of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the current operating data of the ammonia-blended coal-fired unit, so as to adjust the amount of ammonia gas supplied to each pipeline.

[0018] The prediction model is trained based on the historical operating data of the ammonia-blended coal-fired power unit, resulting in a trained prediction model for the opening degree of the ammonia nozzle valve.

[0019] Beneficial effects:

[0020] This invention uses changes in the required operating state of a coal-fired power unit as a trigger condition to dynamically control the injection location and amount of ammonia, ensuring safe and stable operation of the ammonia-blended coal-fired power unit under varying load conditions. It utilizes a BP neural network to determine the optimal ammonia injection scheme, improving the combustion environment and reducing NO. x The generation of . Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the system described in this invention;

[0022] Figure 2 This is a schematic diagram of the ammonia nozzle valve opening prediction model described in this invention;

[0023] Figure 3 This is a schematic diagram of the ammonia injection system described in this invention;

[0024] 1. Liquid ammonia storage tank 2. Liquid ammonia vaporizer 3. Boiler 4. Ammonia nozzle of pulverized coal burner 5. Pulverized coal burner 6. Electric valve 7. Ammonia nozzle of main combustion zone 8. Ammonia nozzle of burnout air section 9. Burnout air nozzle 10. Flue gas composition analysis and monitoring device 11. Denitrification equipment 12. Ammonia nozzle of denitrification equipment 13. Chimney. Detailed Implementation

[0025] The following detailed embodiments are provided to explain the technical solutions of the claims of this invention, so that those skilled in the art can understand the claims. The scope of protection of this invention is not limited to the following specific embodiments. Any modifications made by those skilled in the art that incorporate the technical solutions of the claims but differ from the following detailed embodiments are also within the scope of protection of this invention.

[0026] In the description of this invention, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0027] like Figure 1As shown, the embodiments of this application include a dynamic control system for flexible ammonia injection in a coal-fired power plant with ammonia blending, including an ammonia injection valve opening prediction model construction module, an ammonia injection valve opening prediction model training module, an ammonia injection valve opening prediction module, a first judgment module, and an ammonia input adjustment module.

[0028] The ammonia nozzle valve opening prediction model construction module is used to obtain the mapping relationship between the operating data of the ammonia-blended coal-fired unit and the opening of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the BP neural network, thereby constructing the ammonia nozzle valve opening prediction model; the ammonia nozzle valve opening prediction model is used to predict the opening of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the current operating data of the ammonia-blended coal-fired unit, so as to adjust the amount of ammonia gas supplied to each pipeline;

[0029] The ammonia nozzle valve opening prediction model training module is used to train the prediction model based on the acquired historical operating data of the ammonia-blended coal-fired power unit, and obtain the trained ammonia nozzle valve opening prediction model.

[0030] The first judgment module is used to determine whether the amount of ammonia gas supplied to each pipeline needs to be adjusted based on the current operating data of the ammonia-blended coal-fired power unit.

[0031] The ammonia nozzle valve opening prediction module is used to obtain the ammonia nozzle valve opening at multiple locations of the ammonia-blended coal-fired unit by inputting the current operating data of the ammonia-blended coal-fired unit into the ammonia nozzle valve opening prediction model when it is necessary to adjust the amount of ammonia gas supplied to each pipeline.

[0032] The ammonia input adjustment module is used to adjust the first and second parameters related to ammonia supply to target values, and adjust the opening of ammonia nozzle valves at multiple locations to the opening of ammonia nozzle valves output by the ammonia nozzle valve opening prediction module, thereby adjusting the ammonia supply of the ammonia-blended coal-fired unit.

[0033] In the above technical solution, the first parameter is the ammonia supply rate V. A Based on the target value of the required furnace volumetric heat load Q and the target value of the ammonia blending ratio R... A Furnace volume V, ammonia volumetric calorific value Q A The opening degree of the ammonia injection port valve at the denitrification equipment (k) 60 Calculate the ammonia supply rate V A Its calculation methods include:

[0034]

[0035] In the above technical solution, the second parameter is the powder feeding rate V of the powder mill. C According to the lower heating value Q of the coal type C Calculate the powder feeding rate V of the powder feeder C Its calculation methods include:

[0036]

[0037] When based on the calculated V A and V C Adjust the value of the total ammonia supply rate V. A And the powder feeding rate V of the powder feeder C Subsequently, the system transmits signals k1 to k6 to the electric valves controlled by each branch, thereby controlling the amount of ammonia gas supplied to each pipeline by controlling the opening degree of the electric valves. The injection locations of the target ammonia gas include the pulverized coal burner, the three nozzles in the main combustion zone, the nozzle near the burnout air, and the nozzle of the denitrification equipment. This ensures that during the ammonia combustion process, some ammonia gas is injected into the main combustion zone of the furnace and plays a role in denitrification in conjunction with coke.

[0038] NO + Char → N2 + CO2

[0039] NO + NH3 → N2 + H2O

[0040] In the above technical solution, the ammonia nozzle valve opening prediction model is based on a BP neural network, and its structure is as follows: Figure 2 As shown, the neural network has one input layer, one output layer and two hidden layers. The number of hidden layer nodes l is calculated according to an empirical formula, and a is a constant with a value range of [1, 10].

[0041]

[0042] In the formula: m is the number of input layer nodes; n is the number of output layer nodes;

[0043] The training dataset is normalized and divided into training and test sets in a 7:3 ratio.

[0044] The Levenberg-Marquardt algorithm was used to optimize the weights and thresholds of the artificial neural network.

[0045] The training process continues by continuously modifying the weights and thresholds of the BP neural network until it converges, at which point the training ends.

[0046] After training, the BP neural network uses test set samples from the dataset to verify the reliability of the test model, ultimately obtaining the best-performing prediction model. If the accuracy of the BP neural network exceeds a preset accuracy threshold, the training of the BP neural network is complete; otherwise, the training process is repeated until the accuracy exceeds the preset accuracy threshold.

[0047] The evaluation indicators, namely the correlation coefficient R and the mean squared error (MSE), are calculated as follows:

[0048]

[0049]

[0050] The above technical solution also includes a second judgment module, used to, when the first judgment module determines that the ammonia supply to each pipeline needs to be adjusted, calculate the sum of the opening values ​​Σk of the ammonia nozzle valve openings at multiple locations output by the ammonia nozzle valve opening prediction module. i The sum of the opening degrees and values ​​Σk of the ammonia nozzle valves at the currently described multiple locations. i0 The opening degrees of the ammonia nozzle valves at the multiple locations are compared as follows: Figure 3 As shown, this includes: the ammonia nozzle valve opening k1 at the pulverized coal burner; the ammonia nozzle valve openings k2 to k4 at three locations in the main combustion zone (bottom, middle, and top); the ammonia nozzle valve opening k5 in the burnout zone; and the denitrification equipment nozzle valve opening k6; when |Σk i -Σk i0 | / Σk i0 If the value exceeds the first set value (10% in this embodiment), it is considered that the ammonia supply of the ammonia-blended coal-fired unit needs to be adjusted.

[0051] The above technical solution also includes an air volume adjustment module, used to adjust the air supply volume A according to multiple parameters related to the air supply volume after adjusting the ammonia supply to each pipeline, in order to optimize the combustion environment; the multiple parameters related to the air supply volume include the excess air coefficient α, the proportion of carbon, hydrogen, sulfur, and oxygen in the coal according to the basic elemental analysis, that is, when V is performed... A and V C After adjustment, the required air supply A for the fuel is recalculated based on the fuel parameters and the excess air coefficient α.

[0052]

[0053] In the formula:

[0054] C ar H ar S ar O ar : These represent the proportions of carbon, hydrogen, sulfur, and oxygen in the coal according to the basic elemental analysis.

[0055] In the above technical solution, the current operating data of the ammonia-blended coal-fired unit includes: the current furnace volumetric heat load Q0 of the unit, and the current ammonia blending ratio R of the unit. A0 NO. of denitrification equipment exports X Concentration C Nout Excess air coefficient α, burnout air ratio B, flue gas temperature T, flue gas flow rate q, NO at the inlet of the denitrification equipment X Concentration C Nin NH3 concentration C at the inlet of the denitrification equipment AinNH3 concentration C at the outlet of denitrification equipment Aout It is obtained through the power plant's DCS system and flue gas analysis and monitoring devices.

[0056] The current ammonia blending ratio R of the unit A0 The calculation methods include:

[0057]

[0058] In the formula:

[0059] Q A This indicates the volumetric calorific value of ammonia, obtained through a DCS system, in kJ / m³. 3 ;

[0060] V A0 : Indicates the ammonia supply flow rate, obtained through DCS system detection, unit: m 3 / h;

[0061] k 60 This indicates the valve opening at the ammonia injection port of the denitrification equipment, obtained through DCS system monitoring. Unit: m 3 / h;

[0062] Q0: Represents the current furnace volumetric heat load of the unit, obtained through DCS system monitoring, unit: kW / m³ 3 ;

[0063] V: Furnace volume, unit: m³ 3 .

[0064] Current NOx on denitrification equipment exports X Concentration C Nout Data is obtained through flue gas analysis and monitoring devices.

[0065] In the above technical solution, the method for determining whether the amount of ammonia gas supplied to each pipeline needs to be adjusted in the first judgment module includes: obtaining the current furnace volumetric heat load Q0 of the ammonia-blended coal-fired unit and the current ammonia blending ratio R of the unit. A0 NO. of denitrification equipment exports X Concentration C Nout Each of these values ​​is compared with the target value Q of the set furnace volume heat load and the target value R of the set ammonia blending ratio. A And setting the NO outlet of the denitrification equipment x Target concentration C N Calculate the differences, and calculate the ratio of each difference to the corresponding target value or the ratio of each difference to the current value; that is, calculate the following ratios:

[0066] (Q0-Q) / Q0、(R A0 -R A ) / R A0(C) Nout -C N ) / C Nout

[0067] Alternatively, calculate the following ratio:

[0068] (Q0-Q) / Q、(R A0 -R A ) / R A (C) Nout -C N ) / C N

[0069] When the absolute value of any ratio is greater than the second set value (10% in this embodiment), it is considered that the amount of ammonia gas supplied to each pipeline needs to be adjusted.

[0070] This application also includes a dynamic control method for flexible ammonia injection in a coal-fired power plant, comprising the following steps:

[0071] The mapping relationship between the operating data of the ammonia-blended coal-fired unit and the opening degree of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit is obtained by using a BP neural network, thereby constructing an ammonia nozzle valve opening degree prediction model; the ammonia nozzle valve opening degree prediction model is used to predict the opening degree of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the current operating data of the ammonia-blended coal-fired unit, so as to adjust the amount of ammonia gas supplied to each pipeline.

[0072] The prediction model is trained based on the historical operating data of the ammonia-blended coal-fired power unit to obtain the trained ammonia nozzle valve opening prediction model.

[0073] Determine whether it is necessary to adjust the amount of ammonia supplied to each pipeline based on the current operating data of the ammonia-blended coal-fired power unit.

[0074] When it is necessary to adjust the amount of ammonia gas supplied to each pipeline, the current operating data of the ammonia-blended coal-fired unit is input into the ammonia nozzle valve opening prediction model to obtain the ammonia nozzle valve opening at multiple locations of the ammonia-blended coal-fired unit.

[0075] The ammonia supply of the ammonia-blended coal-fired unit is adjusted by adjusting the first and second parameters related to the ammonia supply to the target values ​​and adjusting the opening of the ammonia nozzle valves at multiple locations to the opening of the ammonia nozzle valves output by the ammonia nozzle valve opening prediction module.

[0076] In another embodiment, after adjusting the ammonia supply to each pipeline, the following steps are also included:

[0077] The air supply is adjusted based on several parameters related to the air supply to optimize the combustion environment; these parameters include the excess air coefficient α and the proportions of carbon, hydrogen, sulfur, and oxygen in the coal as determined by the basic elemental analysis.

[0078] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0079] like Figure 3 The diagram shows an ammonia injection system provided in an embodiment of the present invention. Liquid ammonia in the liquid ammonia storage tank 1 is vaporized into ammonia gas by the liquid ammonia vaporizer 2 and then enters the boiler 3 for combustion. The ammonia gas nozzles are located as follows: 4 (coal pulverizer ammonia nozzle) on the pulverized coal burner 5; 8 (ammonia nozzle in the burnout air section) below the three main combustion zones and the burnout air nozzle 9. The flue gas generated by combustion is denitrified by the denitrification equipment 11 and then discharged through the chimney 13. The reducing agent used for denitrification is also ammonia gas, injected through the ammonia nozzle 12 of the denitrification equipment. When the system detects a change in the set value of the operating status information, it compares it with the actual operating status information of the unit. When the deviation exceeds ±10%, the system obtains the current actual operating status information of the unit through the power plant's DCS system and the flue gas composition analysis and monitoring device 10. The system will automatically input the set parameters and some actual parameters under the current operating conditions. Through the constructed BP neural network model, it will calculate the opening degree of the electric valves at the six nozzle positions (i.e. the specific ammonia injection amount of each bypass). Based on the sum of the electric valve opening degrees of each bypass, it will calculate the total ammonia injection demand, automatically adjust the ammonia vaporization rate of the liquid ammonia vaporizer 2, change the total ammonia input, and then adjust the opening degree of the electric valves 6 on the six branches to regulate the ammonia injection amount at each position.

[0080] Preferably, special ammonia guns are installed at the ammonia nozzle 4 of the pulverized coal burner, the ammonia nozzles 7 of the three main combustion zones, and the ammonia nozzle 8 of the burnout air section to inject ammonia into the furnace. The ammonia injected into the furnace through the ammonia nozzles 7 of the three main combustion zones can serve as fuel to provide heat to the furnace, and can also serve as a reducing agent to reduce the NO produced in the front. X Perform the restoration.

[0081] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

Claims

1. A dynamic control system for flexible ammonia injection in a coal-fired power plant with ammonia blending, characterized in that, This includes a first judgment module, an ammonia nozzle valve opening prediction module, and an ammonia input adjustment module; The first judgment module is used to determine whether it is necessary to adjust the amount of ammonia gas supplied to each pipeline based on the current operating data of the ammonia-blended coal-fired unit; The ammonia nozzle valve opening prediction module is used to obtain the ammonia nozzle valve opening at multiple locations of the ammonia-blended coal-fired unit based on the current operating data of the unit when it is necessary to adjust the amount of ammonia gas supplied to each pipeline. The ammonia input adjustment module is used to adjust the first and second parameters related to ammonia supply to the target value, and adjust the opening of ammonia nozzle valves at multiple locations to the opening of ammonia nozzle valves output by the ammonia nozzle valve opening prediction module, thereby adjusting the ammonia supply of the ammonia-blended coal-fired unit. It also includes an air volume adjustment module, which is used to adjust the air supply volume according to multiple parameters related to the air supply volume after the ammonia supply to each pipeline has been adjusted. It also includes a module for building ammonia nozzle valve opening prediction model and a module for training ammonia nozzle valve opening prediction model; The ammonia nozzle valve opening prediction model construction module is used to obtain the mapping relationship between the operating data of the ammonia-blended coal-fired unit and the opening of the ammonia nozzle valve at multiple locations of the ammonia-blended coal-fired unit based on the BP neural network, thereby constructing the ammonia nozzle valve opening prediction model; the ammonia nozzle valve opening prediction model training module is used to train the prediction model based on the acquired historical operating data of the ammonia-blended coal-fired unit, thereby obtaining the trained ammonia nozzle valve opening prediction model. The first parameter is the ammonia supply rate; the second parameter is the powder feeding rate of the powder mill.

2. The dynamic control system for flexible ammonia injection in a coal-fired power plant as described in claim 1, characterized in that, The ammonia nozzle valve opening prediction model is used to predict the opening of ammonia nozzle valves at multiple locations of the ammonia-blended coal-fired unit based on the current operating data of the unit, so as to adjust the amount of ammonia gas supplied to each pipeline.

3. The dynamic control system for flexible ammonia injection in a coal-fired power plant as described in claim 1, characterized in that, It also includes a second judgment module, used to, when the first judgment module determines that the ammonia supply to each pipeline needs to be adjusted, calculate the sum of the opening values ​​Σk of the ammonia nozzle valve openings at multiple locations output by the ammonia nozzle valve opening prediction module. i The sum of the opening degrees and values ​​Σk of the ammonia nozzle valves at the currently described multiple locations. i0 When comparing, when |Σk i -Σk i0 | / Σk i0 If the value exceeds the first set value, it is considered that the ammonia supply of the ammonia-blended coal-fired unit needs to be adjusted.

4. The dynamic control system for flexible ammonia injection in a coal-fired power plant as described in any one of claims 1 to 3, characterized in that, The opening degrees of the ammonia nozzle valves at the multiple locations include: the opening degree k1 of the ammonia nozzle valve at the pulverized coal burner, the opening degrees k2~k4 of the three ammonia nozzle valves at the main combustion zone, the opening degree k5 of the ammonia nozzle valve at the burnout zone, and the opening degree k6 of the nozzle valve at the denitrification equipment.

5. The dynamic control system for flexible ammonia injection in a coal-fired power plant as described in any one of claims 1 to 3, characterized in that, In the first judgment module, the method for determining whether the amount of ammonia gas supplied to each pipeline needs to be adjusted includes: obtaining the current furnace volumetric heat load Q0 of the ammonia-blended coal-fired unit and the current ammonia blending ratio R of the unit. A0 NO. of denitrification equipment exports X Concentration C Nout Each value is compared with the target value Q of the set furnace volume heat load and the target value R of the set ammonia blending ratio. A And setting the NO outlet of the denitrification equipment x Target concentration C N Calculate the difference and the ratio of the difference to the corresponding target value or the ratio of the difference to the current value. When the absolute value of either ratio is greater than the second set value, it is considered that the amount of ammonia gas delivered to each pipeline needs to be adjusted.

6. The dynamic control system for flexible ammonia injection in a coal-fired power plant as described in claim 1, characterized in that, In the ammonia input adjustment module, the target value Q of the required furnace volumetric heat load and the target value R of the ammonia blending ratio are used as the basis for adjustment. A Furnace volume V, ammonia volumetric calorific value Q A The opening degree of the ammonia injection port valve at the denitrification equipment (k) 60 Calculate the ammonia supply rate V A .

7. The dynamic control system for flexible ammonia injection in a coal-fired power plant as described in claim 1, characterized in that, In the ammonia input adjustment module, the lower heating value Q of the coal type is used as the basis for adjustment. C Calculate the powder feeding rate V of the powder feeder C。 8. A dynamic control method for flexible ammonia injection in a coal-fired power plant using the system described in claim 1, characterized in that, Includes the following steps: Determine whether it is necessary to adjust the amount of ammonia supplied to each pipeline based on the current operating data of the ammonia-blended coal-fired power unit. When it is necessary to adjust the amount of ammonia gas supplied to each pipeline, the opening degree of the ammonia injection valve at multiple locations of the ammonia-blended coal-fired unit is obtained based on the current operating data of the ammonia-blended coal-fired unit. The ammonia supply of the ammonia-blended coal-fired unit is adjusted by adjusting the first and second parameters related to the ammonia supply to the target values ​​and adjusting the opening of the ammonia nozzle valves at multiple locations to the opening of the ammonia nozzle valves output by the ammonia nozzle valve opening prediction module.

9. The dynamic control method for flexible ammonia injection in a coal-fired power plant as described in claim 8, characterized in that, After adjusting the ammonia supply to each pipeline, the following steps are also included: The air supply is adjusted by modifying several parameters related to the air supply to optimize the combustion environment.

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