Fuel control method, device and equipment for thermal power generating unit and medium

Abstract

The invention discloses a thermal power generating unit fuel control method, device and equipment and a medium, and relates to the technical field of automation control, and the method comprises the steps that rated parameters and actual operation parameters of a thermal power generating unit are obtained, the actual operation parameters comprise at least one of boiler feed water parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters and steam turbine flow parameters; based on the rated parameters and the actual operation parameters, the fuel reference supply quantity, the fuel supply dynamic change coefficient and the fuel supply correction value are determined; determining a target fuel supply amount based on the reference fuel supply amount, the fuel supply dynamic change coefficient and the fuel supply correction value; and controlling the fuel machine to convey fuel to the boiler based on the target fuel supply quantity. And an intelligent fuel control strategy based on multivariable collaborative optimization is adopted, so that each key operation parameter is always maintained in an optimal working interval, and the overall control precision and the adjustment quality of the thermal power generating unit are improved.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, and in particular to a fuel control method, device, equipment and medium for thermal power units. Background Technology

[0002] Fuel control in thermal power units is one of the core aspects affecting the stable operation of the unit. Currently, the mainstream control strategy mainly adopts the PID (Proportional-Integral-Derivative) regulation method based on single-variable feedback of main steam pressure. This method directly corrects the fuel supply through the pressure deviation signal. However, during boiler combustion, parameters such as main steam pressure, steam temperature, fuel-water ratio, and wall temperature have strong coupling relationships. Traditional single-variable control strategies are difficult to coordinate the dynamic interaction of these parameters, resulting in problems such as regulation lag, significant overshoot, and energy efficiency loss, affecting the overall control accuracy and operational reliability of thermal power units. Summary of the Invention

[0003] In view of this, the present invention provides a fuel control method, device, electronic equipment and medium for thermal power units, in order to solve the technical problems that traditional single-variable control strategies have difficulty coordinating the dynamic interaction of these parameters, resulting in problems such as adjustment lag, significant overshoot and energy efficiency loss, which affect the overall control accuracy and operational reliability of thermal power units.

[0004] Firstly, a fuel control method for thermal power units is provided, applicable to thermal power units including fuel engines, boilers, superheaters, and steam turbines. The method includes:

[0005] Obtain the rated parameters and actual operating parameters of the thermal power unit, wherein the actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters;

[0006] Based on rated parameters and actual operating parameters, determine the fuel baseline supply, fuel supply dynamic variation coefficient, and fuel supply correction value;

[0007] The target fuel supply is determined based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value.

[0008] Based on the target fuel supply, the fuel engine is controlled to deliver fuel to the boiler.

[0009] Secondly, a fuel control device for a thermal power unit is provided, applicable to a thermal power unit including a fuel engine, boiler, superheater, and turbine. The device includes:

[0010] The acquisition module is used to acquire the rated parameters and actual operating parameters of the thermal power unit. The actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters.

[0011] The first determining module is used to determine the fuel base supply, the fuel supply dynamic change coefficient, and the fuel supply correction value based on the rated parameters and actual operating parameters.

[0012] The second determining module is used to determine the target fuel supply based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value.

[0013] The control module is used to control the fuel engine to deliver fuel to the boiler based on the target fuel supply.

[0014] Thirdly, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described thermal power unit fuel control method.

[0015] Fourthly, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the steps of the above-described thermal power unit fuel control method.

[0016] The above-mentioned schemes implemented by the fuel control methods, devices, electronic equipment and storage media for thermal power units adopt an intelligent fuel control strategy based on multivariate collaborative optimization. By dynamically correcting the fuel supply in real time, the system simultaneously controls multiple parameters such as steam temperature regulation, fuel-water ratio optimization and wall temperature protection while ensuring the stability of the main steam pressure. This keeps the key operating parameters in the optimal operating range, significantly improving the automation level and operational reliability of the thermal power unit, thereby improving the overall control accuracy and regulation quality of the thermal power unit. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0018] Figure 1 This is a schematic flowchart of a fuel control method for thermal power units in one embodiment of the present invention;

[0019] Figure 2 This is a schematic diagram of the structure of a thermal power unit fuel control device in one embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in the present invention are only for illustrative and descriptive purposes and are not intended to limit the scope of protection of the present invention.

[0021] Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this invention illustrate operations implemented according to some embodiments of the invention. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or performed simultaneously. Moreover, those skilled in the art, guided by the content of this invention, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0022] Furthermore, the embodiments described herein are merely some, not all, of the embodiments of the invention. The components of the embodiments of the invention described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0023] It should be noted that the term "comprising" will be used in the embodiments of the present invention to indicate the presence of a feature subsequently declared, but does not exclude the addition of other features. It should also be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0024] The following is a detailed description of this case, in conjunction with the relevant accompanying drawings in the instruction manual.

[0025] In the embodiments of this specification, when a thermal power unit participates in peak shaving and frequency regulation, a coordinated control strategy with the boiler following is typically adopted. The turbine is primarily responsible for unit load regulation, while the boiler is responsible for controlling the main steam pressure. Except for the use of advance fuel quantity control during load changes, the boiler fuel quantity is mainly adjusted based on changes in main steam pressure under conventional control methods. However, during normal operation of a thermal power unit, the main system parameters are affected by various factors. While the traditional single-parameter following control strategy can effectively maintain stable main steam pressure, it has significant limitations: on the one hand, it cannot comprehensively consider other key operating parameters; on the other hand, it limits the unit's load regulation margin. Based on these problems, this application proposes a fuel control method for thermal power units. It comprehensively considers key parameters such as coal-to-water ratio, steam temperature, wall temperature, and load regulation margin during unit operation, and adopts a multi-variable coordinated control strategy to achieve intelligent real-time correction of boiler coal quantity. By introducing a multi-variable correction fuel quantity control strategy, the regulation quality of other important operating parameters can be optimized while ensuring stable main steam pressure. It can not only significantly reduce the frequency of manual intervention by operators in fuel quantity, but also effectively improve the reliability and automation level of unit operation.

[0026] Based on the above problems, this application proposes a fuel control method for thermal power units.

[0027] Please see Figure 1 This specification provides a fuel control method for thermal power units, applicable to thermal power units including fuel engines, boilers, superheaters, and steam turbines. The method specifically includes the following steps:

[0028] S10: Obtain the rated parameters and actual operating parameters of the thermal power unit, wherein the actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters.

[0029] It is understood that the executing entity of this invention can be a fuel control device for thermal power units, or it can be a terminal or a server; no specific limitation is made here. This embodiment of the invention will be described using a server as an example.

[0030] In this step, a thermal power unit is a set of power generation equipment in a thermal power plant, consisting of a boiler, steam turbine, generator, and auxiliary equipment. It is mainly used to convert the thermal energy generated from fossil fuels (such as coal, oil, and natural gas) into electrical energy. During the operation of the thermal power unit, its rated parameters are clearly defined; these parameters serve as the standard reference for the unit's design and operation.

[0031] Furthermore, under steady-state operating conditions, the core parameters of thermal power units exhibit multi-source dynamic change characteristics. By acquiring multiple actual operating condition parameters of the unit in real time, this comprehensive data acquisition system provides reliable data support for unit performance analysis and optimized control.

[0032] Optionally, the actual operating parameters include at least one of the following: the flow rate of the boiler feedwater system, the real-time load data of the unit, the temperature distribution of each heating surface of the boiler, the steam temperature parameters of each stage of the superheater outlet, and the main steam flow rate of the turbine.

[0033] By using the above methods, various parameters affecting the stable operation of the unit are collected, taking into account parameters such as coal-water ratio, steam temperature, wall temperature, and load regulation margin during unit operation, and the boiler coal quantity is adjusted in real time.

[0034] S20: Based on rated parameters and actual operating parameters, determine the fuel base supply quantity, fuel supply dynamic variation coefficient, and fuel supply correction value.

[0035] In this step, multi-dimensional calculations and analyses are performed based on the designed rated parameters and collected real-time operating parameters. First, the baseline fuel supply is determined, serving as the basis for fuel control during steady-state operation. Second, combined with dynamic characteristic analysis of the unit, a dynamic response coefficient for fuel supply is derived. This coefficient accurately reflects the fuel adjustment needs of the unit under transient conditions such as load changes and frequency regulation. Furthermore, through real-time parameter deviation calculations, a fuel supply correction value is generated for adaptive optimization of the current fuel quantity, ensuring that the unit maintains optimal combustion under various operating conditions.

[0036] Alternatively, the fuel can be coal.

[0037] By accurately calculating the fuel baseline supply, dynamic variation coefficient, and correction value using the above methods, the fuel supply can be precisely matched with the actual needs of the unit, ensuring that the boiler and turbine operate in optimal condition, improving the unit's thermal efficiency, and thus improving the overall power generation efficiency of the thermal power unit.

[0038] In one embodiment of this application, a specific multi-parameter coupled calculation scheme is provided. In S20, based on the rated parameters and actual operating parameters, the fuel base supply quantity, the fuel supply dynamic change coefficient, and the fuel supply correction value are determined, specifically including the following steps S21-S25:

[0039] S21: Determine the baseline fuel supply based on boiler feedwater parameters and rated parameters.

[0040] In practical applications, due to factors such as operating conditions, equipment performance, and external factors, the rated feedwater flow rate of a thermal power unit boiler differs from the actual feedwater flow rate. The rated feedwater flow rate is the feedwater flow rate corresponding to the boiler under its designed rated load. However, in actual operation, thermal power units need to adjust their power generation capacity according to the grid demand, i.e., change the unit's load, thereby adjusting the unit's feedwater flow rate. For example, a thermal power unit with a rated load of 600MW may only need to operate at a load of 300MW during off-peak electricity demand. In this case, the actual feedwater flow rate of the boiler may only be 50%-60% of the rated feedwater flow rate.

[0041] In formulating the fuel control strategy, a comprehensive analysis is conducted based on the real-time operating parameters of the boiler feedwater and the unit's design rated parameters to calculate the baseline fuel supply. This provides a basic control value for subsequent fuel supply, ensuring that the subsequent adjustment process has a reasonable starting point.

[0042] In one embodiment of this application, a specific scheme for determining the baseline fuel supply is provided. In S21, the baseline fuel supply is determined based on the boiler feedwater parameters and rated parameters, specifically including the following steps S211-S212:

[0043] S211: Obtain the actual feedwater flow rate, rated feedwater flow rate, and rated fuel supply of the thermal power unit.

[0044] In this step, the boiler feedwater flow rate is collected in real time. This parameter directly reflects the actual water intake under the current operating conditions of the unit, and it changes in real time as the unit's operating conditions change. Simultaneously, the boiler's rated feedwater flow rate is determined, which is the standard feedwater flow rate under the boiler's design operating conditions. Furthermore, the rated fuel supply of the thermal power unit must also be obtained, i.e., the amount of fuel required by the unit under rated operating conditions.

[0045] S212: Determine the base fuel supply for thermal power units based on rated water supply flow, actual water supply flow, and rated fuel supply.

[0046] In this step, after obtaining the aforementioned data, the baseline fuel supply for the thermal power unit is calculated based on this data. The specific calculation formula is as follows:

[0047]

[0048] Among them, C 基 Q is the baseline fuel supply. 实 Q represents the actual water supply flow rate. 额 C is the rated water supply flow rate; 额 This is the rated fuel supply.

[0049] By using the above method, a reasonable baseline fuel supply can be determined based on the actual feedwater conditions of the boiler. This baseline fuel supply provides a basis and reference for further precise adjustments to the fuel supply to adapt to different operating conditions of the unit.

[0050] S22: Determine the dynamic variation coefficient of fuel supply based on unit load parameters and rated parameters.

[0051] In this step, based on the dynamic comparison analysis between the unit's real-time load parameters and design rated parameters, an adaptive control algorithm is used to accurately calculate the dynamic variation coefficient of fuel supply. This coefficient reflects the fuel demand variation characteristics of the unit under dynamic operating conditions such as peak shaving and frequency regulation, providing a quantitative basis for precise adjustment of fuel supply and ensuring that the unit can maintain optimal combustion control quality under various operating conditions.

[0052] In one embodiment of this application, a specific scheme for calculating the dynamic variation coefficient of fuel supply is provided. In S22, that is, based on the unit load parameters and rated parameters, the dynamic variation coefficient of fuel supply is determined, which specifically includes the following steps S221-S227:

[0053] S221: Obtain the actual unit load and rated unit load of the thermal power unit.

[0054] In this step, relevant operating data of the thermal power units are collected to obtain the actual unit load and rated unit load. The actual unit load reflects the current operating status of the unit, while the rated unit load represents the maximum load capacity of the unit under design conditions.

[0055] S222: Determine the load change threshold based on the rated unit load.

[0056] In this step, based on the rated unit load, and taking into account the unit's characteristics, operating experience, and relevant industry standards, a load change threshold is set.

[0057] Optionally, 10% of the unit's rated load can be set as the threshold for judging load changes. That is, when the load fluctuation reaches 10% of the rated load, the fluctuation range is used as the boundary standard for judgment.

[0058] S223: Determine the real-time unit load change based on the actual unit load.

[0059] In this step, the real-time load change is calculated based on the actual unit load data. This change reflects the dynamic change of the unit load in the current time period.

[0060] S224: Compare the real-time unit load change with the load change threshold;

[0061] S225: If the real-time unit load change is greater than or equal to the load change threshold, the load change coefficient is obtained by dividing the actual unit load by the rated unit load.

[0062] For steps S224-S225, the calculated real-time unit load change is compared with a pre-determined load change threshold. If the comparison shows that the real-time unit load change is greater than or equal to the load change threshold, a correction factor needs to be calculated. At this time, the load change factor is accurately calculated by dividing the actual unit load by the rated unit load. This factor directly reflects the degree of change of the actual load relative to the rated load.

[0063] In practical applications, using the rated unit load as a benchmark, a correction factor needs to be calculated when the actual unit load changes by 10% compared to the current state. For example, if the rated load is 1000MW, the correction factor calculation process is initiated every time the load changes by 100MW. The initial correction factor is 1. The coal consumption required for each 10% change in rated load is divided by the designed coal consumption for the same load change, resulting in a load change factor K1. For example, if the actual coal consumption for a 10% change in rated load is 10 tons, and the designed coal consumption is 8 tons, then the load change factor K1 = 10 / 8 = 1.25. This factor reflects the difference between the actual coal consumption and the designed coal consumption during operation.

[0064] S226: The load change coefficient is adjusted by a preset coefficient change rate to obtain the dynamic change coefficient of fuel supply.

[0065] In this step, the dynamic change coefficient of fuel supply is determined by comprehensively calculating the load change coefficient and the rate of change of the preset coefficient. This coefficient can reflect the dynamic adjustment needs of fuel supply in real time according to the fluctuations in the group load.

[0066] Optionally, to ensure the stability of fuel quantity adjustment, the coefficient change rate is preset to 0.001 / s, that is, the value of k1 will change by 0.001 every second, so as to achieve linear and gradual change of fuel quantity and ensure smooth load transition.

[0067] Furthermore, the trend of load change coefficient adjustment based on the preset coefficient change rate is caused by various factors such as the gradual change in equipment performance and fluctuations in coal quality. Specifically, a coal consumption characteristic curve is established based on the unit design specifications, and the theoretical coal demand is calculated in conjunction with the current load conditions. The baseline correction coefficient k0 is determined through function mapping. When the actual calculated coefficient k1 > k0, it is determined that the coal quality fed into the furnace is better than the design value, and the coefficient is adjusted downward; when k1 < k0, it is determined that the coal quality is worse than the design value, and the coefficient is adjusted upward. The coefficient adjustment must follow the preset change rate limit (0.001 / s) to ensure a smooth adjustment process. For example, if there is an increasing trend, K1 will increase by 0.001 per second; if there is a decreasing trend, K1 will decrease by 0.001 per second. For example, if K1 is calculated to be 1.2 at a certain moment, after 1 second, if it is increasing, K1 will become 1.2 + 0.001 = 1.201; if it is decreasing, K1 will become 1.2 - 0.001 = 1.199.

[0068] S227: Limit the dynamic change coefficient of fuel supply based on the preset change coefficient limit.

[0069] In this step, to ensure the safe and stable operation of the fuel supply system and prevent over- or under-adjustment of fuel supply, strict amplitude limits must be imposed on the dynamic variation coefficient of fuel supply based on preset coefficient variation limits. This control strategy ensures that the dynamic variation coefficient of fuel supply remains within the optimal operating range, thereby guaranteeing the stability and economy of the thermal power unit operation.

[0070] Optionally, the preset range of the variation coefficient limit is 1.2-0.8.

[0071] By using the above methods, the dynamic change coefficient of fuel supply can be accurately calculated, and the fuel demand caused by load changes can be quantified in real time. This avoids safety hazards such as unstable combustion and pressure fluctuations caused by supply lag or excess, and ensures the reliable operation of the unit under variable load conditions.

[0072] S23: Determine the first fuel supply correction value based on boiler temperature parameters and rated parameters.

[0073] In this step, based on real-time monitoring data of the boiler's heating surface temperature and combined with the design rated parameters, a multi-dimensional thermodynamic deviation analysis is performed to calculate the first fuel supply correction value. This correction value, by establishing a dynamic mapping relationship between the temperature field distribution and the fuel quantity, can accurately compensate for local overheating or underheating phenomena during the boiler combustion process, effectively improving the uniformity of the temperature field inside the furnace, thereby ensuring that the boiler can maintain optimal combustion stability and thermal efficiency under different load conditions.

[0074] In one embodiment of this application, a specific scheme for calculating the first fuel supply correction value is provided. In S23, that is, based on the boiler temperature parameters and rated parameters, the first fuel supply correction value is determined, specifically including the following steps S231-S236:

[0075] S231: Obtain the actual maximum temperature value of the boiler wall.

[0076] In this step, temperature data of the boiler wall is collected, and the actual maximum temperature value is extracted. This value is a key indicator reflecting the current thermal state of the boiler.

[0077] S232: Calculate the real-time temperature change rate based on the actual maximum temperature value.

[0078] In this step, based on the obtained actual maximum temperature value, the actual temperature change rate is calculated. This change rate reflects the dynamic change of the boiler wall temperature at the current moment, which helps to grasp the thermal dynamic characteristics of the boiler in a timely manner.

[0079] S233: Compare the real-time temperature change rate with the preset temperature change rate threshold;

[0080] S234: If the real-time temperature change rate is greater than the preset temperature change rate threshold, determine the first fuel supply correction value corresponding to the actual maximum temperature value and the real-time temperature change rate in the preset fuel supply correction value mapping table. The preset fuel supply correction value mapping table includes the correspondence between the actual temperature value, the temperature change rate and the fuel supply correction value.

[0081] For steps S233-S234, the preset temperature change rate threshold is determined based on the boiler's design parameters, safety operation requirements, and past operating experience. It is an important standard for judging whether the boiler temperature change is normal. The calculated real-time temperature change rate is compared with the preset temperature change rate threshold. If the comparison shows that the real-time temperature change rate is greater than the preset temperature change rate threshold, it indicates that the boiler wall temperature is rising too quickly. If the wall temperature rises too quickly and is too high, it may damage the boiler wall material and affect the safe operation of the boiler. In this case, it is necessary to look up the first fuel supply correction corresponding to the actual maximum temperature value and the real-time temperature change rate in the preset fuel supply correction value mapping table to reduce the amount of coal, thereby reducing the combustion intensity and alleviating the upward trend of the wall temperature.

[0082] Optionally, a large amount of historical operating data can be extracted from the boiler's operation monitoring system. This data should include the actual temperature value of the boiler's inner wall, the rate of temperature change, and the corresponding fuel supply under different operating conditions. The data collection time span should be long enough to cover various possible operating scenarios, such as the start-up phase, stable operation phase, and load change phase. The collected data should be preprocessed. Statistical methods should be used to analyze the correlation between the actual temperature value, the rate of temperature change, and the fuel supply. By calculating indicators such as correlation coefficients, the degree of correlation between them should be determined. Based on the characteristics of the data and the analysis results, an appropriate modeling method should be selected. Common methods include linear regression models, nonlinear regression models, decision tree models, and neural network models. Taking a neural network model as an example, the actual temperature value and the rate of temperature change are used as variables in the input layer, and the fuel supply correction value is used as a variable in the output layer. The model is trained with a large amount of data, and the model parameters are adjusted so that it can accurately reflect the relationship between the input and output. The actual temperature value and the rate of temperature change are discretized and divided into different intervals. For example, the actual temperature value is divided into multiple temperature ranges, such as 0-100℃, 100-200℃, etc., and the temperature change rate is also divided into different ranges, such as 0-1℃ / min, 1-2℃ / min, etc. For each combination of actual temperature value range and temperature change rate range, the corresponding fuel supply correction value is calculated according to the established model. These combinations and corresponding correction values ​​are organized into a table, which is the preset fuel supply correction value mapping table. For example, when the actual temperature value is in the 100-200℃ range and the temperature change rate is in the 1-2℃ / min range, the fuel supply correction value calculated according to the model is 5%, and this correspondence is recorded in the mapping table.

[0083] S235: Determine a first correction limit based on the rated fuel supply and a first preset limit ratio.

[0084] S236: Limit the first fuel supply correction value based on the first correction limit.

[0085] For steps S235-S236, to ensure the safety and effectiveness of fuel supply adjustment and avoid excessive or insufficient fuel supply, a first correction limit is calculated based on the rated fuel supply amount and a first preset limit ratio. The first fuel supply correction value needs to be strictly limited based on the first correction limit.

[0086] In practical applications, the boiler wall is the outer wall of the boiler, and the temperature may vary at different locations during boiler operation. To more effectively monitor the thermal state of the boiler wall, the temperature value with the highest value is selected from all measured boiler wall temperature data. This is because the maximum wall temperature often reflects the most dangerous thermal conditions of the boiler wall and plays a crucial indicative role in determining whether the boiler is operating safely. The rate of change of the selected maximum boiler wall temperature over time is calculated continuously. This rate of change reflects how quickly the wall temperature rises or falls, and the calculation formula is: Rate of change = (Maximum wall temperature at current moment - Maximum wall temperature at previous moment) / Time interval. For example, if the maximum wall temperature at the current moment is 500℃, and the previous moment (1 minute ago) was 497℃, then the rate of temperature change within 1 minute is (500-497) / 1 = 3℃ / minute. When the rate of temperature change exceeds 3℃ / minute, and the current maximum wall temperature is greater than a pre-set temperature value, the system will activate corresponding control measures. Once the above triggering conditions are met, the amount of coal supplied to the boiler will be reduced. The amount of coal to be reduced is not fixed, but is adjusted for both the actual temperature and the rate of change of the wall temperature. A higher actual temperature and a greater rate of change of the wall temperature indicate a more dangerous thermal state of the boiler, potentially requiring a larger reduction in coal. For example, when the rate of change of the wall temperature reaches 5°C / minute and the actual temperature is significantly higher than the set temperature, the amount of coal to be reduced will be greater than when the rate of change is 3.1°C / minute and the temperature just exceeds the set temperature. To ensure the stability of boiler operation and normal power generation, a limit is set on the amount of coal to be reduced. The first preset limit is 0.5% of the unit's rated operating coal consumption. In other words, regardless of the actual temperature and the rate of change of the wall temperature, the maximum amount of coal reduced each time cannot exceed 0.5% of the unit's required coal consumption under rated operating conditions. For example, if the unit's rated operating coal consumption is 100 tons per hour, then the maximum amount of coal to be reduced each time is 100 × 0.5% = 0.5 tons.

[0087] S24: Determine the second fuel supply correction value and the third fuel supply correction value based on the superheater temperature parameters and rated parameters.

[0088] In this step, by real-time monitoring and analysis of the superheater's heating surface temperature, combined with the unit's design parameters, the second and third fuel supply correction values ​​are calculated. The second correction value compensates for excessively high superheater outlet temperatures by reducing fuel supply, while the third correction value compensates for excessively low superheater outlet temperatures by increasing fuel supply. These two correction values, rigorously derived theoretically, together constitute a multi-level coordinated control system for superheater temperature. This system not only accurately maintains steam parameters within permissible fluctuation ranges but also effectively prevents abnormal operating conditions such as over-temperature or under-temperature, ensuring that the turbine inlet steam quality consistently meets the requirements for safe and economical unit operation.

[0089] In practical applications, multiple temperature measuring points are arranged at the left and right outlets of the superheater. For example, three temperature measuring points are set on each side of the superheater, and the positions of the measuring points on the same side are consistent. To comprehensively and accurately grasp the temperature status of the superheater outlet, the maximum and minimum temperatures are selected. The maximum temperature reflects the highest possible temperature at the superheater outlet, and the minimum temperature reflects the lowest temperature. These two key data can effectively monitor whether the temperature is within the normal range. When the selected maximum temperature value at the superheater outlet exceeds the preset rated temperature value, and this over-temperature state lasts for 30 seconds (this 30 seconds is a time judgment condition to prevent false triggering of control actions due to instantaneous temperature fluctuations), once the above triggering condition is met, the amount of fuel supplied to the boiler will be reduced accordingly based on the deviation between the actual maximum temperature value and the rated temperature value. The larger the deviation, the more fuel may be reduced. This is because excessively high superheater outlet temperatures may damage the equipment, such as causing a decline in the performance of pipe materials and affecting steam quality. Reducing the amount of fuel can reduce combustion intensity, thereby lowering the superheater outlet temperature. When the minimum superheater outlet temperature is lower than the rated temperature, and this low temperature condition persists for 30 seconds, the system will increase the amount of fuel supplied to the boiler based on the deviation between the actual minimum temperature and the rated temperature. The greater the deviation, the greater the increase in fuel supply. This is because an excessively low superheater outlet temperature affects the steam's work capacity and reduces the unit's power generation efficiency. Increasing the fuel supply can improve combustion intensity, thereby raising the superheater outlet temperature.

[0090] In one embodiment of this application, a specific scheme for calculating the second fuel supply correction value is provided. In S24, that is, based on the superheater temperature parameters and rated parameters, the second fuel supply correction value and the third fuel supply correction value are determined, which specifically includes the following steps:

[0091] Obtain the actual maximum temperature, actual minimum temperature, rated maximum temperature, and rated minimum temperature at the superheater outlet;

[0092] Compare the actual maximum temperature value with the rated maximum temperature value;

[0093] If the actual maximum temperature value is greater than the rated maximum temperature value, obtain the first duration for which the actual maximum temperature value is greater than the rated maximum temperature value;

[0094] When the first duration is greater than or equal to the preset duration threshold, the first temperature deviation value is determined based on the actual maximum temperature value and the rated maximum temperature value;

[0095] Based on a preset fuel supply correction value mapping table, a second fuel supply correction value corresponding to the first temperature deviation value is determined. The preset fuel supply correction value mapping table includes the correspondence between temperature deviation and fuel supply correction value.

[0096] In this embodiment, the superheater outlet temperature data is monitored in real time, and the actual maximum and minimum temperature values ​​during operation are extracted. Simultaneously, the rated temperature range (i.e., rated maximum and minimum temperature values) of the superheater under design conditions is obtained. By comparing the difference between the actual maximum temperature value and the rated maximum temperature value, the superheater's operating status is assessed to determine whether it exceeds the design safety limits. The rated maximum temperature value serves as the upper temperature limit for safe operation of the equipment, and its comparison with the actual maximum temperature value directly reflects whether the superheater has an overheating risk.

[0097] Subsequently, when the actual maximum temperature value is detected to continuously exceed the rated maximum temperature value, the duration of this overheating state (i.e., the first duration) is accurately recorded to quantitatively assess the degree of abnormal operation of the superheater. The first duration is compared and analyzed with a preset safe operating time threshold. This threshold is a critical value determined based on the temperature resistance characteristics of the superheater material, safety specifications, and operating experience. If the first duration exceeds the preset threshold, it indicates that the superheater is in a dangerous operating state and control measures must be taken immediately.

[0098] Subsequently, based on the difference between the actual maximum temperature and the rated maximum temperature (i.e., the first temperature deviation value), the severity of the current overheating is quantitatively calculated. Using a pre-generated temperature deviation-fuel adjustment mapping table, the corresponding fuel supply correction (i.e., the second fuel supply correction value) is accurately obtained. This correction will dynamically adjust the fuel supply strategy to ensure that the superheater outlet temperature quickly recovers to the safe operating range, thereby effectively guaranteeing the safe and stable operation of the unit.

[0099] In one embodiment of this application, a specific scheme for calculating the third fuel supply correction value is provided. In S24, that is, based on the superheater temperature parameters and rated parameters, the second fuel supply correction value and the third fuel supply correction value are determined, which further includes the following steps:

[0100] Compare the actual minimum temperature value with the rated minimum temperature value;

[0101] If the actual minimum temperature value is less than the rated minimum temperature value, obtain the second duration for which the actual minimum temperature value is less than the rated minimum temperature value;

[0102] When the second duration is greater than or equal to the preset duration threshold, the second temperature deviation value is determined based on the actual minimum temperature value and the rated minimum temperature value;

[0103] Based on a preset fuel supply correction value mapping table, determine the third fuel supply correction value corresponding to the second temperature deviation value;

[0104] The second correction limit is determined based on the rated fuel supply and the second preset limit ratio;

[0105] Based on the second correction limit, the second fuel supply correction value and the third fuel supply correction value are subject to limit processing.

[0106] In this embodiment, the actual minimum temperature value at the superheater outlet is compared and analyzed with the rated minimum temperature value. The rated minimum temperature value serves as the lower limit of the safe operating temperature determined by the superheater design specifications. Comparing it with the actual minimum temperature value can effectively determine whether the superheater is operating at a low temperature. When the actual minimum temperature value is detected to be continuously lower than the rated minimum value, the duration of this low-temperature state (i.e., the second duration) is accurately recorded to quantitatively assess the degree of abnormal operation of the superheater.

[0107] Subsequently, the second duration is compared and verified with a preset safe operating time threshold. This threshold is a key parameter comprehensively formulated based on the superheater's thermodynamic characteristics, operational safety specifications, and equipment reliability requirements. If the second duration exceeds the preset threshold, it indicates that the superheater's operating temperature has deviated from standard operating conditions, which may affect equipment performance and service life.

[0108] Subsequently, based on the difference between the actual temperature and the rated minimum temperature (i.e., the second temperature deviation value), the current low-temperature deviation is accurately calculated. Using a pre-generated temperature deviation-fuel adjustment mapping table, the corresponding fuel supply correction (i.e., the third fuel supply correction value) is accurately obtained. If the system also has a second fuel supply correction value determined due to an over-temperature condition...

[0109] Furthermore, to ensure the safety, reliability, and control effectiveness of the fuel supply regulation process and to avoid overshooting or undershooting of the fuel supply, strict amplitude constraints must be applied to the second and third fuel supply correction values ​​based on a preset second correction limit. When the correction value exceeds the range of the second correction limit, the system automatically constrains it to the limit boundary; if the correction value is within the limit range, the original regulation command remains unchanged. Through this intelligent constraint mechanism, the improvement effect of fuel supply regulation on superheater temperature conditions can be guaranteed, while effectively maintaining the safety margin of unit operation, achieving the dual goals of equipment protection and operational optimization.

[0110] Optionally, the second preset limit ratio is set to 1%, meaning the reduction / increase in fuel quantity cannot exceed 1% of the coal required by the unit under rated operating conditions. For example, if the unit's coal consumption per hour under rated operating conditions is 200 tons, then the maximum reduction in fuel quantity each time is 200 × 1% = 2 tons. This prevents boiler shutdown or a significant drop in unit output due to excessive fuel reduction. It also avoids problems such as incomplete combustion and overheating caused by excessive fuel increases, ensuring the unit operates within a controllable range. This control strategy keeps the superheater outlet temperature as stable as possible near the rated value, improving the unit's operating efficiency and safety.

[0111] By using the above method, the correction amount corresponding to the superheater outlet temperature is calculated as the basis for fuel supply adjustment. Through bidirectional control, the superheater outlet temperature is ensured to remain stable within the rated operating range, thereby comprehensively guaranteeing the safe and efficient operation of the equipment.

[0112] S25: Determine the fourth fuel supply correction value based on the unit load parameters and turbine flow parameters.

[0113] In this step, based on the dynamic coupling characteristics analysis of unit load-flow, a fourth fuel supply correction value is calculated. This correction value establishes a dynamic matching relationship between load demand and turbine flow capacity, which can effectively coordinate the energy balance between boiler and turbine, thereby improving the combustion control accuracy of the unit under variable load conditions, reducing the turbine heat rate, and effectively reducing the main steam pressure fluctuation amplitude.

[0114] In one embodiment of this application, a specific scheme for calculating the fourth fuel supply correction value is provided. In S25, that is, based on the unit load parameters and the turbine flow parameters, the fourth fuel supply correction value is determined, specifically including the following steps S251-S256:

[0115] S251: Obtain the rated flow rate of the steam turbine.

[0116] S252: Determine the flow control command value based on the rated flow value.

[0117] For steps S251-S252, the rated flow rate of the steam turbine under design operating conditions is obtained. This parameter serves as the benchmark reference value for the steam turbine flow-load control system. Based on this rated flow rate value, and considering the dynamic response characteristics of the steam turbine, system operating constraints, and optimized control strategies, a precise flow control command value is generated. This command serves as the core basis for steam turbine flow regulation, achieving dynamic and precise flow regulation through a closed-loop control system. This ensures that the steam turbine always operates within its optimal operating range, guaranteeing the safety, stability, and economy of the unit's operation.

[0118] S253: Determine the load control command value based on the actual unit load and rated unit load of the thermal power unit.

[0119] In this step, the load control command value is accurately determined based on the actual current unit load and the rated unit load specified in the design. The actual unit load reflects the current operating status of the thermal power unit, while the rated unit load represents the unit's design carrying capacity. The load control command value determined by combining the two can accurately reflect the unit's load demand, providing a precise direction for subsequent control adjustments.

[0120] S524: The command deviation is obtained by subtracting the flow control command value from the load control command value.

[0121] In this step, the calculated load control command value is compared with the flow control command value. The flow control command value is subtracted from the load control command value to obtain the command deviation. This command deviation directly reflects the difference between load demand and flow control, and is a key indicator for further fuel supply adjustments. It helps to promptly identify and correct mismatches between flow and load.

[0122] S255: Integrate the command deviation to obtain the fourth fuel supply correction value.

[0123] In this step, to effectively process and adjust the command deviation and gradually bring it closer to zero, an integral operation is performed on the command deviation. Through this integral operation, the cumulative effect of the command deviation over a period of time can be comprehensively considered, resulting in a fourth fuel supply correction value. This correction value is calculated based on the system's dynamic characteristics and control requirements, and is used to adjust the fuel supply to achieve precise matching between flow rate and load.

[0124] S256: Limit the fourth fuel supply correction value by setting a preset integral calculation limit.

[0125] In this step, to ensure the safety and rationality of fuel supply adjustments and to avoid adverse effects on the system due to excessively large or small integral calculation results, an integral calculation limit is preset. Based on this preset integral calculation limit, the fourth fuel supply correction value is strictly limited. When the fourth fuel supply correction value exceeds the preset integral calculation limit, it is adjusted to within the limit range; if it does not exceed the limit, it remains unchanged. This ensures that fuel supply adjustments are carried out within a safe and effective range, guaranteeing the stable operation of the thermal power unit.

[0126] In practical applications, the amount of coal entering the boiler is dynamically adjusted by analyzing and calculating the unit load and turbine flow commands to ensure stable unit operation. The load control command value is calculated as (actual unit load / rated unit load) × 100. For example, if the rated unit load is 1000MW and the current actual load is 800MW, the load control command value is 80%, representing the ratio of the current unit load to the rated load. The turbine flow control command value reflects the required steam flow rate of the turbine and is related to the unit's load demand. The difference between the load control command value and the total turbine flow control command value is the command deviation. This deviation reflects the degree of inconsistency between the actual unit load demand and the turbine steam flow demand. If the deviation is positive, it means the load command is greater than the turbine flow command, which may require increased steam supply, meaning an increase in coal supply is possible; if the deviation is negative, the opposite is true. The deviation is then integrated, and the output is the coal quantity correction. Over time, the integral operation accumulates the persistent command deviation, and its output becomes the value required to adjust the coal quantity. For example, if the command deviation is consistently positive, the integral operation result will continuously increase, meaning that the coal quantity needs to be continuously increased to meet the load demand. In actual operation, due to factors such as measurement errors and signal fluctuations, the command deviation may exhibit some small fluctuations. Setting a dead zone can avoid frequent adjustments to the coal quantity due to these small fluctuations, reducing unnecessary actions of the control system and improving system stability. The integral operation dead zone is set to ±2%, meaning that when the command deviation is between -2% and +2%, the integral operation does not accumulate, i.e., no coal quantity correction is generated. Furthermore, to ensure the safety and stability of unit operation, an upper and lower limit is set for the coal quantity correction. The limit is 1% of the unit's rated operating coal quantity. No matter how large the coal quantity correction output by the integral operation is, the final adjusted coal quantity can only be a maximum of 1% of the unit's rated operating coal quantity. For example, if the unit's rated coal consumption is 300 tons per hour, then the maximum coal quantity correction is 300 × 1% = 3 tons. This prevents excessive coal quantity adjustment due to an overly large integral calculation result, thus avoiding adverse effects on unit operation.

[0127] S30: Determine the target fuel supply based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel correction value.

[0128] S40: Controls the fuel engine to deliver fuel to the boiler based on the target fuel supply.

[0129] For steps S30-S40, based on the calculated fuel control parameters, the target fuel supply is determined, and the fuel engine is precisely controlled to ensure that the fuel engine delivers fuel to the boiler according to the target supply.

[0130] Optionally, the formula for calculating the target fuel supply is:

[0131] C 目 =C 基 ×K1+C1+C2+C3+C4;

[0132] Among them, C 目 For the target fuel supply; C 基 K1 is the fuel base supply quantity; C1 is the fuel supply dynamic change coefficient; C2 is the first fuel supply correction value; C3 is the second fuel supply correction value; C4 is the third fuel supply correction value; and C5 is the fourth fuel supply correction value.

[0133] Through the above-mentioned method, the fuel control method based on multi-parameter coupled calculation can realize the precise fuel distribution of the boiler combustion system. This not only improves the combustion stability of the thermal power unit under stable operating conditions, but also effectively adapts to dynamic operating requirements such as peak shaving and frequency regulation. Ultimately, it enables the thermal power unit to maintain optimal operating efficiency and safety and reliability across the entire operating range.

[0134] As can be seen, the above scheme adopts an intelligent fuel control strategy based on multivariate collaborative optimization. By dynamically correcting the fuel supply in real time, it simultaneously achieves the system control of multiple parameters such as steam temperature regulation, fuel-water ratio optimization, and wall temperature protection while ensuring the stability of the main steam pressure. This keeps the key operating parameters in the optimal operating range, significantly improving the automation level and operational reliability of the thermal power unit, thereby improving the overall control accuracy and regulation quality of the thermal power unit.

[0135] In one embodiment, a fuel control device for thermal power units is provided, which corresponds one-to-one with the fuel control methods for thermal power units described in the above embodiments. For example... Figure 2 As shown, the fuel control device 100 for thermal power units includes: an acquisition module 101, a first determination module 102, a second determination module 103, and a control module 104. Detailed descriptions of each functional module are as follows:

[0136] The acquisition module 101 is used to acquire the rated parameters and actual operating parameters of the thermal power unit. The actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters.

[0137] The first determining module 102 is used to determine the fuel base supply quantity, the fuel supply dynamic change coefficient, and the fuel supply correction value based on the rated parameters and the actual operating parameters.

[0138] The second determining module 103 is used to determine the target fuel supply based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value;

[0139] The control module 104 is used to control the fuel engine to deliver fuel to the boiler based on the target fuel supply amount.

[0140] In one embodiment, the first determining module 102 is specifically used for:

[0141] Determine the baseline fuel supply based on boiler feedwater parameters and rated parameters;

[0142] The dynamic variation coefficient of fuel supply is determined based on the unit load parameters and rated parameters;

[0143] Based on the boiler temperature parameters and rated parameters, determine the first fuel supply correction value;

[0144] Based on the superheater temperature parameters and rated parameters, determine the second fuel supply correction value and the third fuel supply correction value;

[0145] The fourth fuel supply correction value is determined based on the unit load parameters and turbine flow parameters.

[0146] In one embodiment, the first determining module 102 is further configured to:

[0147] Obtain the actual feedwater flow rate of the boiler, the rated feedwater flow rate, and the rated fuel supply of the thermal power unit;

[0148] The base fuel supply for thermal power units is determined based on the rated water supply flow, the actual water supply flow, and the rated fuel supply.

[0149] In one embodiment, the first determining module 102 is further configured to:

[0150] Obtain the actual unit load and rated unit load of the thermal power unit;

[0151] Determine the load change threshold based on the rated unit load;

[0152] Determine the real-time changes in unit load based on the actual unit load;

[0153] Compare real-time unit load changes with load change thresholds;

[0154] If the real-time unit load change is greater than or equal to the load change threshold, the load change coefficient is obtained by dividing the actual unit load by the rated unit load.

[0155] By adjusting the load change coefficient using a preset coefficient change rate, the dynamic change coefficient of fuel supply can be obtained.

[0156] The dynamic variation coefficient of fuel supply is subject to limit processing based on the preset variation coefficient limit.

[0157] In one embodiment, the first determining module 102 is further configured to:

[0158] Obtain the actual maximum temperature value of the boiler wall surface;

[0159] Calculate the real-time temperature change rate based on the actual maximum temperature value;

[0160] Compare the real-time temperature change rate with the preset temperature change rate threshold;

[0161] If the real-time temperature change rate is greater than the preset temperature change rate threshold, the first fuel supply correction value corresponding to the actual maximum temperature value and the real-time temperature change rate is determined in the preset fuel supply correction value mapping table. The preset fuel supply correction value mapping table establishes a dynamic correspondence between the actual temperature value, the temperature change rate and the fuel supply correction value.

[0162] The first correction limit is determined based on the rated fuel supply and the first preset limit ratio;

[0163] The first fuel supply correction value is limited based on the first correction limit.

[0164] In one embodiment, the first determining module 102 is further configured to:

[0165] Obtain the actual maximum temperature, actual minimum temperature, rated maximum temperature, and rated minimum temperature at the superheater outlet;

[0166] Compare the actual maximum temperature value with the rated maximum temperature value;

[0167] If the actual maximum temperature value is greater than the rated maximum temperature value, obtain the first duration for which the actual maximum temperature value is greater than the rated maximum temperature value;

[0168] When the first duration is greater than or equal to the preset duration threshold, the first temperature deviation value is determined based on the actual maximum temperature value and the rated maximum temperature value;

[0169] Based on a preset fuel supply correction value mapping table, a second fuel supply correction value corresponding to the first temperature deviation value is determined, wherein the preset fuel supply correction value mapping table includes the correspondence between temperature deviation and fuel supply correction value;

[0170] Compare the actual minimum temperature value with the rated minimum temperature value;

[0171] If the actual minimum temperature value is less than the rated minimum temperature value, obtain the second duration for which the actual minimum temperature value is less than the rated minimum temperature value;

[0172] When the second duration is greater than or equal to the preset duration threshold, the second temperature deviation value is determined based on the actual minimum temperature value and the rated minimum temperature value;

[0173] Based on a preset fuel supply correction value mapping table, determine the third fuel supply correction value corresponding to the second temperature deviation value;

[0174] The second correction limit is determined based on the rated fuel supply and the second preset limit ratio;

[0175] Based on the second correction limit, the second fuel supply correction value and the third fuel supply correction value are subject to limit processing.

[0176] In one embodiment, the first determining module 102 is further configured to:

[0177] Obtain the rated flow rate of the steam turbine;

[0178] Determine the flow control command value based on the rated flow rate;

[0179] Based on the actual unit load and rated unit load of the thermal power unit, determine the load control command value;

[0180] The deviation of the command value is obtained by subtracting the flow control command value from the load control command value;

[0181] The fourth fuel supply correction value is obtained by integrating the deviation of the command value;

[0182] The fourth fuel supply correction value is limited by setting a limit for integral calculation.

[0183] This invention provides a fuel control device 100 for thermal power units, which adopts an intelligent fuel control strategy based on multivariate collaborative optimization. By dynamically correcting the fuel supply in real time, it simultaneously achieves system control of multiple parameters such as steam temperature regulation, fuel-water ratio optimization, and wall temperature protection while ensuring the stability of the main steam pressure. This keeps the key operating parameters in the optimal operating range, significantly improving the automation level and operational reliability of thermal power units, thereby enhancing the overall control accuracy and regulation quality of thermal power units.

[0184] Specific limitations regarding the fuel control device for thermal power units can be found in the limitations on fuel control methods for thermal power units described above, and will not be repeated here. Each module in the aforementioned fuel control device for thermal power units can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in the electronic device, or stored in the memory of the electronic device as software, so that the processor can call and execute the corresponding operations of each module.

[0185] In one embodiment, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0186] Obtain the rated parameters and actual operating parameters of the thermal power unit, wherein the actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters;

[0187] Based on rated parameters and actual operating parameters, determine the fuel baseline supply, fuel supply dynamic variation coefficient, and fuel supply correction value;

[0188] The target fuel supply is determined based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value.

[0189] Based on the target fuel supply, the fuel engine is controlled to deliver fuel to the boiler.

[0190] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0191] Obtain the rated parameters and actual operating parameters of the thermal power unit, wherein the actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters;

[0192] Based on rated parameters and actual operating parameters, determine the fuel baseline supply, fuel supply dynamic variation coefficient, and fuel supply correction value;

[0193] The target fuel supply is determined based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value.

[0194] Based on the target fuel supply, the fuel engine is controlled to deliver fuel to the boiler.

[0195] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or electronic device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0196] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0197] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0198] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A fuel control method for thermal power units, characterized in that, Applicable to thermal power units, the thermal power units including fuel engines, boilers, superheaters, and steam turbines, the method includes: Obtain the rated parameters and actual operating parameters of the thermal power unit, wherein the actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters; Based on the rated parameters and the actual operating parameters, determine the fuel base supply quantity, the fuel supply dynamic change coefficient, and the fuel supply correction value; The target fuel supply is determined based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value. Based on the target fuel supply, the fuel engine is controlled to deliver fuel to the boiler.

2. The method according to claim 1, characterized in that, The step of determining the fuel baseline supply, the fuel supply dynamic variation coefficient, and the fuel supply correction value based on the rated parameters and the actual operating parameters specifically includes: The baseline fuel supply is determined based on the boiler feedwater parameters and the rated parameters. Based on the unit load parameters and the rated parameters, the dynamic variation coefficient of fuel supply is determined; Based on the boiler temperature parameters and the rated parameters, a first fuel supply correction value is determined; Based on the superheater temperature parameters and the rated parameters, determine the second fuel supply correction value and the third fuel supply correction value; Based on the unit load parameters and the turbine flow parameters, a fourth fuel supply correction value is determined.

3. The method according to claim 2, characterized in that, The step of determining the baseline fuel supply based on the boiler feedwater parameters and the rated parameters specifically includes: Obtain the actual feedwater flow rate of the boiler, the rated feedwater flow rate, and the rated fuel supply of the thermal power unit; The reference fuel supply for the thermal power unit is determined based on the rated water supply flow, the actual water supply flow, and the rated fuel supply.

4. The method according to claim 2, characterized in that, The step of determining the dynamic variation coefficient of fuel supply based on the unit load parameters and the rated parameters specifically includes: Obtain the actual unit load and rated unit load of the thermal power unit; Based on the rated unit load, determine the load change threshold; Based on the actual unit load, determine the real-time unit load change. The real-time unit load change is compared with the load change threshold. If the real-time unit load change is greater than or equal to the load change threshold, the load change coefficient is obtained by dividing the actual unit load by the rated unit load. The load change coefficient is adjusted by a preset coefficient change rate to obtain the dynamic change coefficient of fuel supply. The dynamic variation coefficient of fuel supply is subject to limit processing based on a preset variation coefficient limit.

5. The method according to claim 2, characterized in that, The step of determining the first fuel supply correction value based on the boiler temperature parameter and the rated parameter specifically includes: Obtain the actual maximum temperature value of the boiler wall surface; Calculate the real-time temperature change rate based on the actual maximum temperature value; The real-time temperature change rate is compared with a preset temperature change rate threshold. If the real-time temperature change rate is greater than the preset temperature change rate threshold, the first fuel supply correction value corresponding to the actual maximum temperature value and the real-time temperature change rate is determined in the preset fuel supply correction value mapping table. The preset fuel supply correction value mapping table includes the correspondence between the actual temperature value, the temperature change rate and the fuel supply correction value. The first correction limit is determined based on the rated fuel supply and the first preset limit ratio; The first fuel supply correction value is limited based on the first correction limit.

6. The method according to claim 2, characterized in that, The step of determining the second fuel supply correction value and the third fuel supply correction value based on the superheater temperature parameter and the rated parameter specifically includes: Obtain the actual maximum temperature, actual minimum temperature, rated maximum temperature, and rated minimum temperature at the superheater outlet; Compare the actual maximum temperature value with the rated maximum temperature value; If the actual maximum temperature value is greater than the rated maximum temperature value, obtain the first duration for which the actual maximum temperature value is greater than the rated maximum temperature value; When the first duration is greater than or equal to a preset duration threshold, a first temperature deviation value is determined based on the actual maximum temperature value and the rated maximum temperature value; Based on a preset fuel supply correction value mapping table, the second fuel supply correction value corresponding to the first temperature deviation value is determined, wherein the preset fuel supply correction value mapping table includes the correspondence between temperature deviation and fuel supply correction value; Compare the actual minimum temperature value with the rated minimum temperature value; If the actual minimum temperature value is less than the rated minimum temperature value, obtain a second duration for which the actual minimum temperature value is less than the rated minimum temperature value; When the second duration is greater than or equal to the preset duration threshold, the second temperature deviation value is determined based on the actual minimum temperature value and the rated minimum temperature value; Based on the preset fuel supply correction value mapping table, the third fuel supply correction value corresponding to the second temperature deviation value is determined; The second correction limit is determined based on the rated fuel supply and the second preset limit ratio; Based on the second correction limit, the second fuel supply correction value and the third fuel supply correction value are subject to limit processing.

7. The method according to claim 2, characterized in that, The step of determining the fourth fuel supply correction value based on the unit load parameters and the turbine flow parameters specifically includes: Obtain the rated flow rate of the steam turbine; Based on the rated flow rate value, determine the flow control command value; Based on the actual unit load and rated unit load of the thermal power unit, determine the load control command value; The command value deviation is obtained by subtracting the flow control command value from the load control command value. The fourth fuel supply correction value is obtained by integrating the deviation of the command value. The fourth fuel supply correction value is subject to limit processing by setting a preset integral calculation limit.

8. A fuel control device for thermal power units, characterized in that, Applicable to thermal power units, the thermal power units including fuel engines, boilers, superheaters and steam turbines, the device including: The acquisition module is used to acquire the rated parameters and actual operating parameters of the thermal power unit, wherein the actual operating parameters include at least one of the following: boiler feedwater parameters, unit load parameters, boiler temperature parameters, superheater temperature parameters, and turbine flow parameters; The first determining module is used to determine the fuel base supply quantity, the fuel supply dynamic change coefficient, and the fuel supply correction value based on the rated parameters and the actual operating parameters. The second determining module is used to determine the target fuel supply based on the fuel baseline supply, the fuel supply dynamic change coefficient, and the fuel supply correction value. The control module is used to control the fuel engine to deliver fuel to the boiler based on the target fuel supply amount.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the thermal power unit fuel control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the fuel control method for thermal power units as described in any one of claims 1 to 7.

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