Thermal power generating unit deep peak regulation method and device and medium

Abstract

The invention discloses a thermal power generating unit deep peak regulation method and device and a medium, and the method comprises the steps: obtaining a real-time load demand signal of a power grid, determining a target load value, and adjusting the fuel supply amount and an air distribution parameter based on a load difference value between the target load value and the actual load of a thermal power generating unit; key parameters of the thermal power generating unit are dynamically monitored, the flow change of steam output by the boiler is determined, and the opening degree of a main steam valve and the opening degree of a control valve of the steam turbine are adjusted according to the flow change of the steam; the load change rate of the thermal power generating unit is determined, the rotating speed of a water feeding pump is adjusted according to the load change rate, and the optimal air-fuel ratio under different loads is calculated through a combustion optimization algorithm so as to update a control instruction of a combustor; and the fluctuation amplitude and the fluctuation direction of the main steam pressure are determined according to the key parameters, and the fuel supply amount deviation is dynamically compensated based on the fluctuation amplitude and the fluctuation direction so that the load difference value between the target load value and the actual load can be maintained within the stable difference value range.

Description

Technical Field

[0001] The present application relates to the technical field of deep peak regulation, and in particular to a method, device and medium for deep peak regulation of a thermal power unit. Background Art

[0002] As the penetration rate of renewable energy continues to increase, the frequency and depth of grid peak regulation tasks undertaken by thermal power units have significantly increased. Traditional peak-shaving control often uses a segmented load regulation strategy. When responding to rapidly changing load demands, the dynamic response mismatch between the boiler combustion system and the turbine regulation system has become increasingly prominent. Fuel quantity regulation on the boiler side exhibits thermal inertia lag, while turbine throttle valve opening adjustment directly affects main steam pressure fluctuations. Improper coordinated control of these two factors can easily lead to safety hazards such as combustion oscillation and steam temperature over-limit, seriously restricting the unit's peak-shaving rate and operational stability.

[0003] In existing technologies, adjustments to fuel supply and air distribution parameters often rely on preset load-fuel curves, lacking dynamic feedback on real-time combustion conditions. Especially during periods of rapid load changes, fixed parameter models struggle to adapt to the reconfiguration of the combustion field within the furnace, leading to air-fuel ratio imbalance, reduced thermal efficiency, and excessive pollutant emissions. Furthermore, the turbine's main steam valve and throttle valve opening adjustment strategies are simple, using the same action sequence during load ramp-up and ramp-down phases. This fails to fully account for the impact of sudden changes in steam flow on rotor stress, exacerbating the risk of fatigue damage to key components.

[0004] Current combustion optimization control generally uses a static air-fuel ratio model, which cannot accurately match the dynamic characteristics of the burner under different load conditions. When the main steam pressure fluctuates, the fuel compensation mechanism relies solely on proportional-integral control for coarse adjustment, without establishing a strategy to correlate the direction of pressure change with stratified fuel supply. This results in frequent overshoot or undershoot during the load tracking process. In addition, existing methods for feedforward compensation of the water supply system and the air and smoke system often use independent control loops, lacking collaborative optimization under multivariable coupling conditions. This can easily lead to chain reactions such as drum water level oscillation and furnace negative pressure fluctuations during deep peak regulation. Summary of the Invention

[0005] The embodiments of the present application provide a method, device and medium for deep peak regulation of a thermal power unit to solve the above-mentioned technical problems.

[0006] On the one hand, an embodiment of the present application provides a method for deep peak regulation of a thermal power unit, comprising:

[0007] Obtaining a real-time load demand signal from the power grid, determining a target load value, and adjusting fuel supply and air distribution parameters based on the load difference between the target load value and the actual load of the thermal power unit;

[0008] Dynamically monitor key parameters of the thermal power unit to determine changes in the steam flow rate output by the boiler, and adjust the main steam valve opening and the regulating valve opening of the steam turbine according to the changes in the steam flow rate;

[0009] Determining the load change rate of the thermal power unit to adjust the feedwater pump speed according to the load change rate, and calculating the optimal air-fuel ratio under different loads through a combustion optimization algorithm to update the control instructions of the burner;

[0010] The fluctuation amplitude and fluctuation direction of the main steam pressure are determined according to the key parameters, and based on the fluctuation amplitude and fluctuation direction, the fuel supply deviation is dynamically compensated to maintain the load difference between the target load value and the actual load within a stable difference range.

[0011] In one implementation of the present application, based on the load difference between the target load value and the actual load of the thermal power unit, the fuel supply amount and the air distribution parameters are adjusted, specifically including:

[0012] Determining the load difference between the target load value and the actual load of the thermal power unit, and collecting operating parameters of the thermal power unit in real time;

[0013] generating an ultra-short-term output prediction curve based on the difference and the operating parameters, and calculating a fuel supplementary combustion demand ratio according to the ultra-short-term output prediction curve to adjust the fuel supply;

[0014] Combined with the three-dimensional temperature field distribution data of the furnace, the swirl intensity and injection angle of different fuel nozzles are optimized, and the air distribution parameters are dynamically adjusted to keep the oxygen content at the furnace outlet within the preset range.

[0015] In one implementation of the present application, adjusting the main steam valve opening and the regulating valve opening of the steam turbine according to the change in the steam flow rate specifically includes:

[0016] Determining a load increase or decrease trend of the thermal power unit according to the steam flow change;

[0017] During the load reduction phase, the throttle valve opening of the steam turbine is reduced to a preset safety opening threshold, and based on the reduction ratio of the throttle valve opening, the main steam valve opening of the steam turbine is correspondingly reduced;

[0018] During the load increase phase, the main steam valve opening of the steam turbine is increased to a fully open state, and the throttle valve opening of the steam turbine is correspondingly increased at a preset rate.

[0019] In one implementation of the present application, dynamic monitoring of key parameters of the thermal power unit specifically includes:

[0020] Dynamically monitor the boiler's main steam pressure, main steam temperature, and turbine rotor vibration amplitude parameters, and compare each parameter with the corresponding preset safety threshold range in real time;

[0021] A correlation model between the main steam pressure change rate and the drum water level fluctuation is established. When the main steam temperature deviates from the preset safety threshold range, the opening of the desuperheating water spray valve and the burner swing angle are adjusted in a linked manner.

[0022] In one implementation of the present application, adjusting the speed of the water feed pump according to the load change rate specifically includes:

[0023] Obtaining a main water supply flow requirement and a current water supply pressure, and determining a water supply difference between the main water supply flow requirement and the current water supply pressure, so as to generate a speed correction coefficient according to the water supply difference;

[0024] According to the load change rate, when it is determined that the load change within a specified time interval is greater than a preset difference, a corresponding feedforward compensation amount is added to the water pump speed instruction based on the speed correction coefficient.

[0025] In one implementation of the present application, the optimal air-fuel ratio under different loads is calculated by a combustion optimization algorithm to update the control instructions of the burner, specifically including:

[0026] Collect the flame temperature distribution and flue gas CO concentration data at each burner outlet;

[0027] For each burner, the optimal air-fuel ratio of the burner under different loads is iteratively calculated using a particle swarm optimization algorithm to obtain the optimal opening combination of the secondary air damper of each burner;

[0028] The control instructions of each burner are updated according to the optimal opening combination of the secondary air damper.

[0029] In one implementation of the present application, dynamically compensating for the fuel supply deviation based on the fluctuation amplitude and the fluctuation direction specifically includes:

[0030] determining, based on the fluctuation amplitude and direction of the main steam pressure, whether the main steam pressure deviates from a preset pressure threshold, so as to reduce the coal feed rate instruction of the coal mill according to a preset ratio when the main steam pressure deviates from the preset pressure threshold in a positive direction;

[0031] When the main steam pressure deviates negatively from the preset pressure threshold, for burners arranged in multiple layers and performing stratified distribution of fuel supply, the pulverizer output corresponding to the lower burner is increased to achieve dynamic compensation of the fuel supply deviation.

[0032] In one implementation of the present application, after dynamically compensating for the fuel supply deviation based on the fluctuation amplitude and the fluctuation direction so that the load difference between the target load value and the actual load is maintained within a stable difference range, the method further includes:

[0033] Continue to monitor the execution deviation during the peak-shaving process, and when it is detected that the furnace pressure fluctuation exceeds the dynamic safety threshold, force the burner's swirl intensity to switch to the preset safety value.

[0034] On the other hand, an embodiment of the present application further provides a deep peak-shaving device for a thermal power plant, the device comprising:

[0035] at least one processor;

[0036] and, a memory communicatively coupled to the at least one processor;

[0037] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the deep peak regulation method of a thermal power unit as described above.

[0038] On the other hand, an embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, which, when executed, implement a deep peak-shaving method for a thermal power unit as described above.

[0039] The present invention provides a method, device, and medium for deep peak regulation of a thermal power unit, which have at least the following beneficial effects:

[0040] Based on the difference between the target load value and the actual load, the fuel supply and air distribution parameters are adjusted in real time, effectively overcoming the combustion thermal inertia lag problem in the traditional segmented regulation mode, so that the combustion state in the furnace is accurately matched with the load demand, and the load tracking accuracy is significantly improved; the strategy of synchronously adjusting the main steam valve and the throttle valve opening, through active adaptation to the steam flow changes, alleviates the impact of the sharp fluctuations in the main steam pressure on the turbine rotor, and reduces the mechanical stress and fatigue damage risk of key components; combined with the combustion optimization algorithm, the optimal air-fuel ratio is calculated in real time, and the burner control instructions are dynamically corrected, which solves the problem of insufficient adaptability of the static air-fuel ratio model under variable load conditions, significantly improves combustion efficiency and inhibits pollutant generation; based on the stratified fuel compensation mechanism of the main steam pressure fluctuation direction, through differentiated pulverizer output adjustment strategies, when the pressure deviates in the positive direction, the fuel amount is preferentially reduced to suppress overshoot, and when the pressure deviates in the negative direction, the combustion intensity of the lower layer is targeted to be enhanced, effectively eliminating the fuel compensation lag and overshoot caused by traditional proportional-integral control. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0042] Figure 1 A schematic flow chart of a method for deep peak regulation of a thermal power unit provided in an embodiment of the present application;

[0043] Figure 2 A schematic diagram of the internal structure of a deep peak-shaving device for a thermal power unit provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the specific embodiments of this application and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0045] The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0046] Figure 1 A flow chart of a method for deep peak regulation of a thermal power unit provided in an embodiment of the present application.

[0047] The analysis method involved in the embodiments of the present application can be implemented by a terminal device or a server, and the present application does not impose any special restrictions on this. For ease of understanding and description, the following embodiments are described in detail using a server as an example.

[0048] It should be noted that the server can be a single device or a system composed of multiple devices, that is, a distributed server, and this application does not make any specific restrictions on this.

[0049] like Figure 1 As shown, an embodiment of the present application provides a method for deep peak regulation of a thermal power unit, comprising:

[0050] Step 101: Obtain a real-time load demand signal of the power grid, determine a target load value, and adjust the fuel supply and air distribution parameters based on the load difference between the target load value and the actual load of the thermal power unit.

[0051] In this embodiment, the real-time load demand signal of the power grid is sent to the control unit of the thermal power unit in real time through the wide-area measurement unit of the dispatching system. The determination of the target load value needs to be combined with the safety boundary conditions of the current operating state of the unit. For example, the control unit generates an ultra-short-term output prediction curve by comparing the load difference between the target load value and the actual load, thereby guiding the dynamic adjustment of the fuel supply amount. It should be noted that stratified fuel quantity distribution is performed for multi-layer swirl burners. For example, in the stage of rapid load climbing, the fuel supply proportion of the lower burner is increased to above the preset proportion, so as to utilize the high thermal inertia characteristics of the combustion area in the lower part of the furnace to accelerate heat release.

[0052] Specifically, the adjustment of the air distribution parameters is achieved by real-time collection of the three-dimensional temperature field distribution data of the furnace. It is understandable that the adjustment of the opening of the secondary air box damper of the burner is carried out synchronously with the optimization of the fuel injection angle. For example, during the load reduction stage, the secondary air volume of the upper burner is increased according to the preset gradient to suppress the risk of coking caused by excessively high flue gas temperature in the upper part of the furnace. It should be noted that the real-time measurement value of the oxygen sensor is compared with the set range. If it exceeds the threshold, the dynamic correction of the secondary air door opening is triggered to ensure that the combustion process is always in a low-oxygen and high-efficiency state.

[0053] Step 102 : Dynamically monitor key parameters of the thermal power unit to determine the change in steam flow rate output by the boiler, so as to adjust the main steam valve opening and the regulating valve opening of the steam turbine according to the change in steam flow rate.

[0054] In this embodiment, the key parameters for dynamic monitoring include the boiler main steam pressure, main steam temperature and turbine rotor vibration amplitude, and the data are acquired in real time by the high-speed acquisition module of the distributed control system (DCS). For example, the action timing of the main steam valve and the throttle valve is differentially controlled according to the trend direction of the steam flow change. It should be noted that in the load reduction stage, the throttle valve opening is preferentially reduced to the minimum safe opening threshold, and then the main steam valve opening is linearly reduced at a preset rate to avoid excessive steam throttling losses. In the load increase stage, the main steam valve is preferentially fully opened to release the maximum flow capacity, and then the throttle valve opening is gradually increased to alleviate the mechanical stress mutation of the turbine rotor.

[0055] Specifically, when the main steam temperature deviates from a preset safety threshold, the attemperation water spray valve opening and the burner tilt angle are adjusted synchronously. For example, if the main steam temperature is too high, the attemperation water spray volume is increased and the burner tilt angle is tilted downward to lower the furnace flame center height and mitigate the risk of superheater overheating. It is understood that the correlation model between the main steam pressure change rate and drum water level fluctuations is generated through training using historical operating data. When the pressure change rate exceeds a preset threshold, the feedforward compensation logic of the water supply system is automatically triggered to prevent large fluctuations in the drum water level.

[0056] Step 103: Determine the load change rate of the thermal power unit to adjust the feedwater pump speed according to the load change rate, and calculate the optimal air-fuel ratio under different loads through the combustion optimization algorithm to update the control instructions of the burner.

[0057] In this embodiment, the load change rate is calculated based on the time-differentiated difference between the target load and the actual load. When the load change rate exceeds a preset threshold, a dynamic feedforward compensation is added to the feedwater pump speed command. The magnitude of the compensation is positively correlated with the load change rate. For example, during a rapid load increase, the feedforward compensation is generated based on the difference between the main feedwater flow demand and the current feedwater pressure to offset the lag in the drum water level caused by feedwater system inertia.

[0058] It should be noted that the combustion optimization algorithm is implemented through a particle swarm optimization (PSO) model. Specifically, the flame temperature distribution data at the outlet of each burner is collected in real time by an infrared thermal imager, and the flue gas CO concentration is measured by a laser gas analyzer. After the flame temperature distribution and flue gas CO concentration data are input into the optimization model, the optimal opening combination of the secondary air damper of each burner is iteratively calculated with the maximization of combustion efficiency and the minimization of NOx emissions as the objective function. For example, under low-load conditions, the secondary air damper opening of the lower burner is optimized to a larger value to achieve the synergistic effect of graded air distribution and low-oxygen combustion, and the flame temperature distribution data is used to verify the rationality of the air-fuel ratio optimization results.

[0059] Step 104: Determine the fluctuation amplitude and fluctuation direction of the main steam pressure according to the key parameters, and dynamically compensate for the fuel supply deviation based on the fluctuation amplitude and fluctuation direction to maintain the load difference between the target load value and the actual load within a stable difference range.

[0060] In this embodiment, the direction of main steam pressure fluctuation is determined by the first-order derivative of the signal collected by the pressure transmitter, and the amplitude of the fluctuation is quantified by the absolute value of the pressure deviation from the set value. If the main steam pressure deviates positively from a preset pressure threshold, the coal feed rate command to the pulverizer is reduced by a preset ratio, prioritizing fuel reduction to the upper burner. If the main steam pressure deviates negatively from the preset pressure threshold, the output of the pulverizer corresponding to the lower burner is increased, leveraging its proximity to the furnace bottom to rapidly increase heat absorption.

[0061] In this embodiment, after dynamically compensating for fuel supply deviations based on fluctuation amplitude and direction, the system continuously monitors peak load deviations. For example, if the furnace pressure fluctuation amplitude is detected to exceed a preset threshold, the control unit immediately switches the burner's swirl intensity to a preset safety value. Specifically, the swirl intensity is adjusted by changing the angle of the burner's secondary air swirl vanes, for example, reducing the swirl angle to a fixed angle in safety mode to suppress pressure fluctuations caused by combustion pulsations.

[0062] Understandably, when deviations are detected, "forced switching" employs safety interlock logic that takes precedence over regular control commands. For example, during a swirl intensity switch, the original air-fuel ratio optimization command is temporarily suspended. Once the furnace pressure returns to a safe range, the system automatically resumes optimized control mode.

[0063] The above is an embodiment of the method proposed in this application. Based on the same inventive concept, this application embodiment also provides a deep peak regulation device for a thermal power plant, the structure of which is as follows: Figure 2 shown.

[0064] Figure 2 This is a schematic diagram of the internal structure of a deep peak regulation device for a thermal power plant provided in an embodiment of the present application. Figure 2 As shown, the equipment includes:

[0065] at least one processor;

[0066] and, a memory communicatively coupled to the at least one processor;

[0067] The memory stores instructions that can be executed by at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0068] Obtain the real-time load demand signal of the power grid, determine the target load value, and adjust the fuel supply and air distribution parameters based on the load difference between the target load value and the actual load of the thermal power unit;

[0069] Dynamically monitor the key parameters of thermal power units to determine the changes in steam flow output from the boiler, and adjust the main steam valve opening and regulating valve opening of the steam turbine according to the changes in steam flow;

[0070] Determine the load change rate of the thermal power unit to adjust the feedwater pump speed according to the load change rate, and calculate the optimal air-fuel ratio under different loads through the combustion optimization algorithm to update the burner control instructions;

[0071] The fluctuation amplitude and direction of the main steam pressure are determined according to key parameters, and based on the fluctuation amplitude and direction, the fuel supply deviation is dynamically compensated to maintain the load difference between the target load value and the actual load within a stable difference range.

[0072] The present application also provides a non-volatile computer storage medium storing computer-executable instructions. When the computer-executable instructions are executed, they can:

[0073] Obtain the real-time load demand signal of the power grid, determine the target load value, and adjust the fuel supply and air distribution parameters based on the load difference between the target load value and the actual load of the thermal power unit;

[0074] Dynamically monitor the key parameters of thermal power units to determine the changes in steam flow output from the boiler, and adjust the main steam valve opening and regulating valve opening of the steam turbine according to the changes in steam flow;

[0075] Determine the load change rate of the thermal power unit to adjust the feedwater pump speed according to the load change rate, and calculate the optimal air-fuel ratio under different loads through the combustion optimization algorithm to update the burner control instructions;

[0076] The fluctuation amplitude and direction of the main steam pressure are determined according to key parameters, and based on the fluctuation amplitude and direction, the fuel supply deviation is dynamically compensated to maintain the load difference between the target load value and the actual load within a stable difference range.

[0077] The various embodiments in this application are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device and medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simple. For relevant portions, refer to the descriptions of the method embodiments.

[0078] The foregoing description describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0079] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0080] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0081] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0082] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0083] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0084] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0085] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0086] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0087] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0088] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for deep peak regulation of thermal power units, characterized in that: The method comprises: Obtaining a real-time load demand signal from the power grid, determining a target load value, and adjusting fuel supply and air distribution parameters based on the load difference between the target load value and the actual load of the thermal power unit; Dynamically monitor key parameters of the thermal power unit to determine changes in the steam flow rate output by the boiler, and adjust the main steam valve opening and the regulating valve opening of the steam turbine according to the changes in the steam flow rate; Determining the load change rate of the thermal power unit to adjust the feedwater pump speed according to the load change rate, and calculating the optimal air-fuel ratio under different loads through a combustion optimization algorithm to update the control instructions of the burner; The fluctuation amplitude and fluctuation direction of the main steam pressure are determined according to the key parameters, and based on the fluctuation amplitude and fluctuation direction, the fuel supply deviation is dynamically compensated to maintain the load difference between the target load value and the actual load within a stable difference range.

2. A method for deep peak regulation of a thermal power unit according to claim 1, characterized in that: Based on the load difference between the target load value and the actual load of the thermal power unit, the fuel supply amount and the air distribution parameters are adjusted, specifically including: Determining the load difference between the target load value and the actual load of the thermal power unit, and collecting operating parameters of the thermal power unit in real time; generating an ultra-short-term output prediction curve based on the difference and the operating parameters, and calculating a fuel supplementary combustion demand ratio according to the ultra-short-term output prediction curve to adjust the fuel supply; Combined with the three-dimensional temperature field distribution data of the furnace, the swirl intensity and injection angle of different fuel nozzles are optimized, and the air distribution parameters are dynamically adjusted to keep the oxygen content at the furnace outlet within the preset range.

3. A method for deep peak regulation of a thermal power unit according to claim 1, characterized in that: According to the change in steam flow, the main steam valve opening and the regulating valve opening of the steam turbine are adjusted, specifically including: Determining a load increase or decrease trend of the thermal power unit according to the steam flow change; During the load reduction phase, the throttle valve opening of the steam turbine is reduced to a preset safety opening threshold, and based on the reduction ratio of the throttle valve opening, the main steam valve opening of the steam turbine is correspondingly reduced; During the load increase phase, the main steam valve opening of the steam turbine is increased to a fully open state, and the throttle valve opening of the steam turbine is correspondingly increased at a preset rate.

4. A method for deep peak regulation of a thermal power plant according to claim 1, characterized in that: Dynamically monitor the key parameters of the thermal power unit, including: Dynamically monitor the boiler's main steam pressure, main steam temperature, and turbine rotor vibration amplitude parameters, and compare each parameter with the corresponding preset safety threshold range in real time; A correlation model between the main steam pressure change rate and the drum water level fluctuation is established. When the main steam temperature deviates from the preset safety threshold range, the opening of the desuperheating water spray valve and the burner swing angle are adjusted in a linked manner.

5. A method for deep peak regulation of a thermal power unit according to claim 1, characterized in that: Adjusting the speed of the water feed pump according to the load change rate specifically includes: Obtaining a main water supply flow requirement and a current water supply pressure, and determining a water supply difference between the main water supply flow requirement and the current water supply pressure, so as to generate a speed correction coefficient according to the water supply difference; According to the load change rate, when it is determined that the load change within a specified time interval is greater than a preset difference, a corresponding feedforward compensation amount is added to the water pump speed instruction based on the speed correction coefficient.

6. A method for deep peak regulation of a thermal power unit according to claim 1, characterized in that: The combustion optimization algorithm calculates the optimal air-fuel ratio under different loads to update the burner control instructions, including: Collect the flame temperature distribution and flue gas CO concentration data at each burner outlet; For each burner, the optimal air-fuel ratio of the burner under different loads is iteratively calculated using a particle swarm optimization algorithm to obtain the optimal opening combination of the secondary air damper of each burner; The control instructions of each burner are updated according to the optimal opening combination of the secondary air damper.

7. A method for deep peak regulation of a thermal power unit according to claim 1, characterized in that: Based on the fluctuation amplitude and the fluctuation direction, dynamically compensating the fuel supply deviation specifically includes: determining, based on the fluctuation amplitude and direction of the main steam pressure, whether the main steam pressure deviates from a preset pressure threshold, so as to reduce the coal feed rate instruction of the coal mill according to a preset ratio when the main steam pressure deviates from the preset pressure threshold in a positive direction; When the main steam pressure deviates negatively from the preset pressure threshold, for burners arranged in multiple layers and performing stratified distribution of fuel supply, the pulverizer output corresponding to the lower burner is increased to achieve dynamic compensation of the fuel supply deviation.

8. A method for deep peak regulation of a thermal power plant according to claim 1, characterized in that: After dynamically compensating the fuel supply deviation based on the fluctuation amplitude and the fluctuation direction so that the load difference between the target load value and the actual load is maintained within a stable difference range, the method further includes: Continue to monitor the execution deviation during the peak-shaving process, and when it is detected that the furnace pressure fluctuation exceeds the dynamic safety threshold, force the burner's swirl intensity to switch to the preset safety value.

9. A deep peak regulation device for thermal power units, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a deep peak regulation method for a thermal power unit as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: When the computer executable instructions are executed, a deep peak regulation method for a thermal power unit as described in any one of claims 1 to 8 is implemented.

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