Intelligent combustion stabilization control method for thermal power generating unit

Abstract

The application discloses a kind of intelligent combustion stabilization control methods of thermal power generating unit, and relates to combustion stabilization control technical field.The method includes the following steps: real-time monitoring thermal power generating unit operating parameter by sensor group;Gasification efficiency model is constructed to evaluate and calculate gasification process energy efficiency in real time;Gasification agent ratio is dynamically controlled by dynamic load rate and gasification process energy efficiency;Combustion stability index is constructed to quantify the dynamic stability of combustion process;Combustion stability index threshold is set to carry out hierarchical control.The method of the application can maximize the efficiency in the operation process of thermal power generating unit by controlling gasification agent ratio of gasification process energy efficiency and dynamic load rate;At the same time, by constructing combustion stability index to quantify the dynamic stability of combustion process, and carrying out hierarchical control, the stability and safety of thermal power generating unit operation are guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of stable combustion control, and in particular to an intelligent stable combustion control method for a thermal power generating unit. BACKGROUND

[0002] With the continuous growth of power demand and the gradual evolution of power system structure, the automatic control technology of thermal power generating units has undergone significant development. Early thermal power generating unit control mainly focused on stabilizing basic operating parameters, such as maintaining steam pressure, temperature, and unit load within a certain range through simple feedback control loops. With the rise of electronic technology and computer technology, control systems began to be digitized, enabling more precise control algorithms and more complex logical operations. This enabled thermal power generating units to optimize operation to some extent, improving power generation efficiency and safety guarantees. To improve the utilization efficiency of low-quality coal and environmental performance, fixed-bed gasification technology was introduced into thermal power generating units. The core of this technology is to generate synthesis gas rich in CO and H2 by chemically reacting coal with gasifying agents (oxygen / steam) in a fixed bed, and then sending the synthesis gas and semi-coke particles generated by incomplete gasification into the boiler for combustion. This technology has the advantages of strong fuel adaptability and high carbon conversion rate, and is particularly suitable for high-ash, low-calorific-value coal types.

[0003] The current technology has the defects of insufficient gasification-combustion collaborative control and lag in combustion instability monitoring and regulation. Traditional gasifiers and boilers operate independently, and the gasifying agent ratio is fixed, which cannot be dynamically optimized according to load changes. During variable load processes, the gasification reaction lags behind the boiler demand, exacerbating combustion fluctuations. Existing technologies rely on a single parameter (such as oxygen content or main steam pressure) to judge the combustion state, lack multi-dimensional fusion indicators, and have a high misjudgment rate. The control is extensive, using "on-off" regulation, which exacerbates parameter oscillation.

[0004] A Chinese patent with publication number CN120010318A discloses a thermal power generating unit performance optimization control system and method, which includes: a data acquisition module that acquires various types of real-time data during the operation of the thermal power generating unit; a load prediction module that establishes a load prediction model to predict the load change trend by comprehensively considering historical load conditions, load change rates, load change accelerations, and external disturbance factors; an optimization control module that dynamically adjusts fuel, dampers, and air quantities according to control strategies in combination with load prediction results and unit operating states; controls the actions of control valves, damper actuators, and feedwater regulating valves; a monitoring feedback module that realizes closed-loop control and self-correction; the invention uses a load prediction model based on time series analysis and physical mechanism, and a control strategy that comprehensively considers multi-parameter collaborative optimization, to realize rapid response to load changes, balance of steam quality and combustion efficiency, adaptive stable operation under complex conditions, and improvement of overall performance.

[0005] A power station intelligent control system and method based on a thermal power generating unit are disclosed in Chinese Patent No. CN118795830B, which includes a power grid feedback module, a cabin separation module, a quality monitoring module, a steam output module, and a feeding control module. The power grid feedback module is used to evaluate power grid demand and calculate boiler air pressure. The cabin separation module is used to recover tail gas and separate the boiler cabin. The quality monitoring module is used to calculate a steam output function and drive steam volume. The steam output module is used to mix the steam of two cabins. The feeding control module is used to adjust the feeding speed of fuel and the parameters of steam in the cabin. The invention can optimize the energy consumption of the thermal power generating unit, improve energy utilization efficiency, enable the generating unit to achieve stable and reliable power supply, and help improve the power generation efficiency of the thermal power station and reduce the operating cost of the power station.

[0006] The above patents all have the problems proposed in the background art: the gasification agent ratio is fixed and cannot be dynamically optimized according to load changes; the existing technology relies on a single parameter (such as oxygen content and main steam pressure) to judge the combustion state, lacking multi-dimensional fusion indicators; the combustion control is extensive and cannot be controlled according to the indicators. SUMMARY

[0007] The technical problem to be solved by the present application is to provide an intelligent stable combustion control method for a thermal power generating unit to overcome the shortcomings of the prior art.

[0008] To achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows:

[0009] An intelligent stable combustion control method for a thermal power generating unit, comprising the following steps:

[0010] Step S1, real-time monitoring of thermal power generating unit operating parameters by a sensor group, wherein the thermal power generating unit operating parameters include gasification furnace operating parameters and boiler combustion parameters;

[0011] Step S2, constructing a gasification efficiency model to evaluate and calculate the energy efficiency of the gasification process in real time;

[0012] Step S3, dynamically controlling the gasification agent ratio by the dynamic load rate and the energy efficiency of the gasification process;

[0013] Step S4, constructing a combustion stability index to quantify the dynamic stability of the combustion process;

[0014] Step S5, setting a combustion stability index threshold for hierarchical control.

[0015] Further, the gasification furnace operating parameters include synthetic gas mass flow, coal mass flow into the furnace, and average temperature of the oxidation layer.

[0016] The boiler combustion parameters include furnace temperature, CO reference concentration, and furnace pressure.

[0017] Further, the specific formula of the gasification efficiency model is:

[0018]

[0019] wherein, represents the energy efficiency of the gasification process, and respectively represent the mass flow of the synthesis gas and the mass flow of the coal into the furnace, and respectively represent the low heat value of the synthesis gas and the low heat value of the coal into the furnace, represents the temperature correction coefficient, represents the average temperature of the oxidation layer of the fixed bed gasification.

[0020] Further, the dynamic control of the gasification agent ratio by the dynamic load rate and the energy efficiency of the gasification process specifically includes:

[0021] The calculation of the adjusted gasification agent ratio specifically has the formula:

[0022]

[0023] wherein, represents the oxygen / steam ratio in the gasification agent, represents the optimal oxygen / steam ratio under the reference load, represents the load correction coefficient, represents the exponential function with the natural constant e as the base, represents the efficiency feedback gain, represents the target gasification efficiency;

[0024] The dynamic adjustment of the adjusted gasification agent ratio parameters specifically has the formula:

[0025]

[0026] wherein, represents the temperature fluctuation in the last one minute;

[0027] According to the calculated gasification agent ratio, the oxygen valve opening degree and the steam flow are adjusted.

[0028] Further, the specific calculation formula of the combustion stability index is:

[0029]

[0030] wherein, represents the combustion stability index, represents the standard deviation of the cross-section temperature of the furnace, represents the average temperature of the cross-section of the furnace, represents the reference concentration of CO, Indicates the rate of change of the furnace pressure.

[0031] Further, the grading sets the combustion stability index threshold and performs grading trigger control, specifically including:

[0032] When the combustion stability index is greater than 2 and less than 3.5, trigger the first level of combustion stabilization control;

[0033] When the combustion stability index is greater than 3.5, trigger the second level of combustion stabilization control;

[0034] Wherein, when the second level of combustion stabilization control is triggered, the first level of combustion stabilization control instruction is immediately overridden to ensure that the emergency control takes effect.

[0035] Further, the first level of combustion stabilization control specifically includes:

[0036] Adjust the syngas injection speed, specifically the formula is:

[0037]

[0038] Wherein, Indicates the adjusted syngas injection speed, Indicates the reference syngas injection speed;

[0039] Increase the wall surface cooling air volume, specifically the formula is:

[0040]

[0041] Wherein, Indicates the increased wall surface cooling air volume, Indicates the reference wall surface cooling air volume, wherein the increased wall surface cooling air volume .

[0042] Further, the second level of combustion stabilization control specifically includes:

[0043] Stop coal supply and switch to pure syngas combustion mode;

[0044] Inert gas injection control, specifically the formula is:

[0045]

[0046] Wherein, Indicates the flow of inert gas injection, Indicates the reference inert gas injection flow, Indicates the combustion stabilization gain coefficient, Indicates the highest temperature of the furnace;

[0047] Implement grading pressure equalization control in the furnace pressure partition, specifically the formula is:​​

[0048]

[0049] wherein, represents the target differential pressure of the jth partition, represents the reference differential pressure, represents the total number of partitions, represents a sinusoidal function;

[0050] The burner swing angle is dynamically adjusted based on the real-time temperature field distribution.

[0051] Further, the burner swing angle is dynamically adjusted based on the real-time temperature field distribution, and specifically includes:

[0052] Step S110, collecting a real-time temperature field distribution through an infrared temperature measurement array;

[0053] Step S111, deriving actual high-temperature zone center coordinates based on the real-time temperature field distribution;

[0054] Step S112, calculating an offset amount of the actual high-temperature zone center from a designed high-temperature zone center;

[0055] Step S113, dynamically adjusting the burner swing angle based on the offset amount.

[0056] Further, the offset amount of the actual high-temperature zone center from the designed high-temperature zone center is calculated according to the following formula:

[0057]

[0058] wherein, represents the coordinates of the actual high-temperature zone center, represents the coordinates of the designed high-temperature zone center, represents the offset amount;

[0059] The burner swing angle is dynamically adjusted based on the offset amount, and the calculation formula is:

[0060]

[0061] wherein, represents the burner swing angle adjustment amount at time t, represents a proportional coefficient, represents an integral coefficient, represents the offset amount at time t, represents the depth of the furnace, represents an inverse tangent function, represents the integral of .

[0062] Compared with the prior art, the present application has the following advantages:

[0063] 1、The application realizes the coupling mechanism of the reference ratio driven by the load rate and the dynamic correction of the efficiency feedback, ensures the maximization of the gasification efficiency, and considers the system safety and response speed.

[0064] 2、The application reflects the combustion state through multi-parameter fusion, including the standard deviation of the furnace cross-section temperature, the average temperature of the furnace cross-section, the reference concentration of CO, and the furnace pressure change rate, which can more accurately quantify the combustion index and avoid misjudgment of the combustion state by a single index.

[0065] 3、The application predefines the threshold to trigger the hierarchical control strategy, dynamically adjusts the combustion parameters to restore stability, and responds hierarchically from gradual optimization to emergency intervention, considering efficiency and safety.

[0066] 4、The application quantifies the abnormal temperature field distribution as the burner swing angle adjustment instruction through the logic chain of geometric offset amount-angle conversion-command control, reducing the influence of abnormal temperature in the combustion process. BRIEF DESCRIPTION OF DRAWINGS

[0067] Other features, objects and advantages of the application will become more apparent after reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0068] Figure 1 The flowchart of the embodiment of the application is shown;

[0069] Figure 2 The stable combustion control structure diagram of the embodiment of the application is shown;

[0070] Figure 3 The dynamic adjustment of the burner swing angle flowchart of the embodiment of the application is shown. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical scheme and advantages of the application more clear, the application will be described in detail below with reference to the drawings and specific embodiments.

[0072] As shown in the drawings, an intelligent stable combustion control method for a thermal power unit includes the following steps: Figure 1

[0073] Step S1, real-time monitoring of thermal power unit operating parameters through a sensor group, wherein the thermal power unit operating parameters include gasification furnace operating parameters and boiler combustion parameters;

[0074] Step S2, constructing a gasification efficiency model to evaluate and calculate the energy efficiency of the gasification process in real time;

[0075] Step S3, dynamically controlling the gasification agent ratio through the dynamic load rate and the energy efficiency of the gasification process;

[0076] ​Step S4, constructing combustion stability index to quantify combustion process dynamic stability;

[0077] Step S5, setting combustion stability index threshold value for hierarchical control.

[0078] The gasification furnace operation parameters include: syngas mass flow, coal mass flow into the furnace and average temperature of oxidation layer;

[0079] The boiler combustion parameters include: furnace temperature, CO reference concentration and furnace pressure.

[0080] The syngas mass flow uses a thermal mass flow meter, which is suitable for gas flow measurement, has fast response and requires high precision. The monitoring index is mass flow, with unit kg / s, and the sampling frequency needs to be once per second to ensure real-time control and reflect the gas production efficiency of the gasification furnace.

[0081] The coal mass flow into the furnace usually uses an impulse flow meter, which is suitable for powdery materials. The monitoring index is kg / s, and the sampling frequency is slightly lower, once every 5 seconds. The coal powder flow is relatively stable, and the parameters must be accurately controlled to affect the stability and efficiency of the gasification process.

[0082] The average temperature of the oxidation layer requires a high-temperature thermocouple array. The oxidation layer temperature is very high, and multiple-point measurement is required to take the average. The sampling frequency is once per second to monitor the reaction state in real time. Temperature fluctuations directly affect the gasification efficiency and safety.

[0083] The furnace temperature usually uses an infrared temperature measurement array, which is non-contact and suitable for high-temperature environments. It monitors the temperature distribution, and the sampling frequency is once per second to ensure timely detection of temperature abnormalities and reflect the uniformity and stability of combustion.

[0084] The CO reference concentration uses a laser gas analyzer, which can quickly and accurately measure gas concentration. The sampling frequency is once per second. High CO concentration indicates incomplete combustion, affecting efficiency and environmental protection indicators.

[0085] The furnace pressure uses a high-frequency pressure sensor to monitor the pressure change rate, with unit kPa / s and sampling frequency of 50 times per second. Because the pressure changes quickly, high-frequency monitoring is required. Pressure fluctuations reflect the stability of combustion to prevent deflagration or flameout.

[0086] The specific formula of the gasification efficiency model is:

[0087]

[0088] wherein, represents the energy efficiency of the gasification process, and represent the syngas mass flow and the coal mass flow into the furnace, and LHV of syngas and LHV of coal fed into the gasifier, respectively, temperature correction coefficient, average temperature of oxidation zone of fixed-bed gasification.

[0089] reflects the influence of temperature on carbon conversion, usually 0.0025.

[0090] temperature correction term, which functions as:

[0091] when greater than 1250℃, the temperature correction term decreases, indicating that high temperature leads to a decrease in carbon conversion, which needs to be adjusted by reducing oxygen concentration or increasing steam flow.

[0092] The dynamic control of the gasification agent ratio through the dynamic load rate and the energy efficiency of the gasification process specifically includes:

[0093] The calculation of the adjusted gasification agent ratio is specifically as follows:

[0094]

[0095] wherein, represents the oxygen / steam ratio in the gasification agent, represents the optimal oxygen / steam ratio under the reference load, represents the load correction coefficient, represents the exponential function with the natural constant e as the base, represents the efficiency feedback gain, represents the target gasification efficiency;

[0096] The dynamic adjustment of the adjusted gasification agent ratio parameter is specifically as follows:

[0097]

[0098] wherein, represents the temperature fluctuation in the last minute;

[0099] According to the calculated gasification agent ratio, the opening degree of the oxygen valve and the steam flow are adjusted.

[0100] wherein, is the optimal oxygen / steam ratio under the reference load, usually 0.3-0.5;

[0101] The load correction coefficient reflects the sensitivity of the ratio to load changes;

[0102] The efficiency feedback gain controls the dynamic adjustment amplitude;

[0103] The target gasification efficiency Generally set to 88-92%.

[0104] The combustion stability index, specifically calculated as:

[0105]

[0106] Wherein, represents the combustion stability index, represents the standard deviation of the cross-section temperature of the furnace, represents the average temperature of the cross-section of the furnace, represents the reference concentration of CO, represents the rate of change of furnace pressure.

[0107] Wherein, represents the temperature fluctuation term, reflecting the uniformity of temperature distribution and a direct indicator of combustion intensity, represents the combustion efficiency term, reflecting the sign of incomplete combustion, represents the pressure disturbance term, reflecting the pressure fluctuation reflecting the sudden change of combustion rate or air flow turbulence.

[0108] As shown in Figure 2 , the hierarchical setting combustion stability index threshold and hierarchical triggering control, specifically including:

[0109] When the combustion stability index is greater than 2 and less than 3.5, triggering the first level of stable combustion control;

[0110] When the combustion stability index is greater than 3.5, triggering the second level of stable combustion control;

[0111] Wherein, when the second level of stable combustion control is triggered, the first level of stable combustion control instruction is immediately overridden to ensure the emergency control takes effect.

[0112] The first level of stable combustion control is characterized by mild instability of combustion, which requires active intervention.

[0113] The second level of stable combustion control is characterized by severe instability of combustion, which may cause deflagration.

[0114] The first level of stable combustion control, specifically including:

[0115] Adjusting the syngas injection speed, specifically formula:

[0116]

[0117] Wherein, represents the adjusted syngas injection speed, The reference syngas injection velocity is represented, and the method enhances the turbulent mixing of fuel and air, shortens the ignition delay, and suppresses the risk of local extinction by increasing the syngas injection velocity, and the upper limit of the velocity is 32 m / s to prevent the gas flow from washing the furnace wall.

[0118] The wall surface cooling air volume is increased, and the specific formula is:

[0119]

[0120] The increased wall surface cooling air volume is represented, The reference wall surface cooling air volume is represented, wherein the increased wall surface cooling air volume The method enhances the convective heat transfer of the wall surface, suppresses the slagging trend, and maintains the structural integrity of the burner.

[0121] The secondary stable combustion control specifically includes:

[0122] The pulverized coal supply is stopped, and the pure syngas combustion mode is switched to eliminate the semi-coke combustion hysteresis and quickly stabilize the flame.

[0123] The inert gas injection control is specifically formulated as:

[0124]

[0125] The inert gas injection flow rate is represented, The reference inert gas injection flow rate is represented, The stable combustion gain coefficient is represented, The maximum temperature of the furnace is represented, and nitrogen / CO2 is injected in the secondary stable combustion mode to dilute the combustible gas concentration and reduce the temperature;

[0126] The stable combustion gain coefficient The calibration value is 2.0-3.0.

[0127] The hierarchical pressure equalization control is implemented in the furnace pressure partition, and the specific formula is:

[0128]

[0129] The target pressure difference of the jth partition is represented, The reference pressure difference is represented, The total number of partitions is represented, The sinusoidal function is represented, and the differential stable pressure is implemented in the six pressure partitions (j=1, 2,..., 6) of the furnace;

[0130] The pressure difference is reduced by about 10% for each increase of 1, which relieves the gas flow impact; ​​​​

[0131] Adjusting the burner swing angle based on real-time temperature field distribution.

[0132] As Figure 3 shown, the method of adjusting the burner swing angle based on real-time temperature field distribution specifically includes:

[0133] Step S110, collecting real-time temperature field distribution through infrared temperature measurement array;

[0134] Step S111, deriving actual high-temperature zone center coordinates based on real-time temperature field distribution;

[0135] Step S112, calculating the offset between actual high-temperature zone center and designed high-temperature zone center;

[0136] Step S113, dynamically adjusting the burner swing angle based on the offset.

[0137] Temperature field data collection process

[0138] Step 1: Space calibration

[0139] Establishing the furnace coordinate system: origin: burner nozzle center three-dimensional coordinates (0, 0, 0), Z-axis: along the depth direction of the furnace (pointing to the back wall), X / Y-axis: width / height direction of the furnace;

[0140] Sensor coordinate registration: laser positioner calibrates the spatial position of each probe (accuracy ±2mm);

[0141] Generating position matrix.

[0142] Step 2: Temperature data preprocessing

[0143] Time synchronization filtering: 32-channel data is sampled at 10Hz, using sliding average filtering (window width 5 points).

[0144] Step 3: High-temperature zone center coordinate calculation algorithm

[0145] 1. Temperature field gridding reconstruction

[0146] Input: 32-point discrete temperature and coordinates

[0147] Output: Furnace cross-section temperature distribution matrix

[0148] Algorithm: inverse distance weighted interpolation

[0149] 2. High-temperature zone identification

[0150] Threshold segmentation:

[0151] Extracting areas with temperature >1200℃ (combustion core area)

[0152] Connected component labeling:

[0153] Identify the maximum continuous high temperature area (avoid local hot spot interference)

[0154] 3. Center coordinate calculation

[0155] The center of the high temperature area is calculated by the centroid method according to the shape of the high temperature area.

[0156] The offset between the actual high temperature area center and the design high temperature area center is calculated, and the specific formula is:

[0157]

[0158] Where, represents the coordinates of the actual high temperature area center, represents the coordinates of the design high temperature area center, represents the offset;

[0159] The burner swing angle is dynamically adjusted based on the offset, and the calculation formula is:

[0160]

[0161] Where, represents the burner swing angle adjustment amount at time t, represents the proportional coefficient, represents the integral coefficient, represents the offset at time t, represents the depth of the furnace, represents the inverse tangent function, represents the integral of .

[0162] Proportional coefficient Calibration:

[0163] Step response method: apply a 100mm artificial offset, adjust to make the swing angle reach the target value within 3 seconds;

[0164] Typical value: .

[0165] Integral coefficient Calibration:

[0166] Steady-state error elimination: under constant load, adjust to make tend to zero within 60 seconds.

[0167] Typical value: (the deeper the furnace, the weaker the integral effect).

[0168] The swing angle rate limit is less than 5° per second to prevent mechanical overload.

[0169] 32-point temperature measurement array along the height of the furnace;

[0170] Convolutional Neural Network (CNN) is used to identify temperature anomaly areas;

[0171] Dynamic adjustment of burner swing angle (±15° range) to shift the high-temperature zone by <200mm.

[0172] 1. Fixed-bed gasification furnace module

[0173] Feed system:

[0174] Coal bunker → coal feeder (pulverized coal / block coal inlet)

[0175] Gasifier inlet (oxygen / steam mixing pipeline, proportional control valve)

[0176] Reaction layer distribution (from top to bottom):

[0177] Drying layer: coal dewatering area (temperature range: 200-400℃)

[0178] Pyrolysis layer: volatile release area (temperature range: 400-800℃)

[0179] Oxidation layer: carbon and oxygen combustion heat release (temperature range: 1100-1300℃)

[0180] Reduction layer: CO / H2 generation area (temperature range: 800-1000℃)

[0181] Deslagging system: rotary grate → ash bucket (deslagging rate adjustment mechanism)

[0182] Synthesis gas outlet: connected to cyclone separator (separate semicoke particles, particle size ≤200μm)

[0183] 2. Combustion and energy conversion module

[0184] Synthesis gas burner:

[0185] Synthesis gas injection port (speed control valve, 25-35m / s)

[0186] Semi-coke particle inlet (mixed with pulverized coal, mixing ratio 1:3~1:1)

[0187] Boiler body:

[0188] Furnace (infrared temperature measurement array position, 32-point monitoring)

[0189] Water wall (wall temperature sensor, over-temperature alarm point 600℃)

[0190] Superheater / reheater

[0191] 3. Key sensors and control systems

[0192] Gasifier monitoring points:

[0193] Oxidant temperature (K-type thermocouple array, 8-point distribution)

[0194] Synthesis gas composition (laser gas analyzer, real-time detection of CO / H2 / CH4)

[0195] Boiler monitoring points:

[0196] Flame temperature field (infrared thermal imager, 10 Hz sampling)

[0197] Furnace pressure (high-frequency sensor, 50 Hz sampling)

[0198] Control actuators:

[0199] Gasification agent ratio valve (oxygen / steam dynamic adjustment)

[0200] Burner swing angle servo motor (±15° adjustable)

[0201] Emergency inerting system (nitrogen / CO2 injection nozzle)

[0202] 4. Material flow

[0203] Coal path (coal bunker→gasifier→semicoke particles→burner)

[0204] Synthesis gas flow (gasifier→cyclone separator→burner)

[0205] The computer readable storage medium of the embodiment can be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal; the computer readable storage medium of the embodiment can also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, etc. equipped on the terminal; further, the computer readable storage medium can include both an internal storage unit and an external storage device of the terminal.

[0206] The computer readable storage medium of the embodiment is used to store a computer program and other programs and data required by the terminal, and can also be used to temporarily store data that has been output or will be output.

[0207] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware, and the program can be stored in a computer readable storage medium. When the program is executed, the program can include the processes of the above-mentioned embodiment methods. The storage medium can be a magnetic disc, an optical disc, a read-only memory (ROM) or a random access memory (RAM) and the like.

[0208] The examples described in the present application are merely used to describe the preferred embodiments of the present application, and are not used to limit the concept and scope of the present application. Without departing from the design idea of the present application, various modifications and improvements of the technical solutions of the present application made by the engineers and technicians in the art should fall within the protection scope of the present application.

Claims

1. A method for intelligent combustion stabilization control of a thermal power unit, characterized in that, The method comprises the following steps: Step S1, real-time monitoring of the thermal power unit operation parameters by a sensor group, wherein the thermal power unit operation parameters comprise gasification furnace operation parameters and boiler combustion parameters; Step S2, constructing a gasification efficiency model to evaluate and calculate the energy efficiency of the gasification process in real time, wherein the specific formula of the gasification efficiency model is: ； wherein, represents the gasification process energy efficiency, and respectively represent the syngas mass flow rate and the coal mass flow rate into the furnace, and respectively represent the syngas lower heating value and the coal lower heating value into the furnace, represents the temperature correction factor, represents the average temperature of the oxidation zone of the fixed bed gasification; Step S3, dynamically controlling the gasification agent ratio by the dynamic load rate and the energy efficiency of the gasification process, specifically comprising: calculating the adjusted gasification agent ratio, and the specific formula is: ； wherein, represents the oxygen / steam ratio in the gasification agent, represents the optimum oxygen / steam ratio at the reference load, represents the load correction factor, represents the exponential function with the natural constant e as base, represents the efficiency feedback gain, represents the target gasification efficiency; dynamically adjusting the gasification agent ratio parameter, and the specific formula is: ； wherein, represents the temperature fluctuation of the last minute; adjusting the oxygen valve opening degree and the steam flow according to the calculated gasification agent ratio; Step S4, constructing a combustion stability index to quantify the dynamic stability of the combustion process; Step S5, setting a combustion stability index threshold value for hierarchical control.

2. The method of claim 1, wherein, The gasification furnace operation parameters comprise syngas mass flow, coal mass flow into the furnace, and average temperature of the oxidation layer; The boiler combustion parameters comprise furnace temperature, CO reference concentration, and furnace pressure.

3. The method of claim 2, wherein, The combustion stability index, and the specific calculation formula is: ； wherein, represents a combustion stability index, represents a standard deviation of the cross-sectional temperature of the hearth, represents an average temperature of the cross-sectional temperature of the hearth, represents a reference concentration of CO, represents a rate of change of the hearth pressure.

4. The method of claim 3, wherein, The hierarchical setting of the combustion stability index threshold value and the hierarchical triggering control, specifically comprising: When the combustion stability index is greater than 2 and less than 3.5, a first stage of the stable combustion control is triggered; When the combustion stability index is greater than 3.5, triggering a secondary combustion stabilization control; When the secondary combustion stability control is triggered, the primary combustion stability control instruction is immediately covered to ensure the emergency control takes effect.

5. The method of claim 4, wherein, The primary combustion stability control, specifically comprising: adjusting the syngas injection speed, and the specific formula is: ； wherein, represents the adjusted syngas injection velocity, represents the reference syngas injection velocity; increasing the wall surface cooling air volume, and the specific formula is: ； wherein, represents the wall surface cooling air amount after the increase, represents the reference wall surface cooling air amount, wherein the wall surface cooling air amount after the increase .

6. The method of claim 5, wherein, The secondary combustion stability control, specifically comprising: stopping the supply of pulverized coal and switching to a pure syngas combustion mode; inert gas injection control, and the specific formula is: ； wherein, represents a flow rate of inert gas injection, represents a reference inert gas injection flow rate, represents a stable combustion gain coefficient, represents a maximum temperature of the hearth; implementing hierarchical pressure equalization control in the furnace pressure partition, and the specific formula is: ； wherein, represents a target differential pressure of the jth partition, represents a reference differential pressure, represents a total number of partitions, represents a sine function; dynamically adjusting the burner swing angle based on the real-time temperature field distribution.

7. The method of claim 6, wherein, The dynamically adjusting the burner swing angle based on the real-time temperature field distribution, specifically comprising: Step S110, collecting the real-time temperature field distribution by an infrared temperature measurement array; Step S111, obtaining the actual high-temperature zone center coordinates based on the real-time temperature field distribution; Step S112, calculating the offset amount of the actual high-temperature zone center and the designed high-temperature zone center; Step S113, dynamically adjusting the burner swing angle based on the offset amount.

8. The method of claim 7, wherein, The calculation of the offset amount of the actual high-temperature zone center and the designed high-temperature zone center, and the specific formula is: ； wherein, represents the coordinates of the actual high-temperature zone center, represents the coordinates of the design high-temperature zone center, represents the offset amount; The dynamically adjusting the burner swing angle based on the offset amount, and the calculation formula is: ； wherein, represents a burner swing angle adjustment amount at time t, represents a proportional coefficient, represents an integral coefficient, represents an offset amount at time t, represents a hearth depth, represents an arc tangent function, represents an integral of .

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