Method and system for reducing coal consumption of coal-fired boiler at low load

Abstract

This application discloses a method and system for reducing coal consumption for power generation in a coal-fired boiler under low load, comprising: real-time acquisition of core operating parameters of the coal-fired boiler during low load operation; preprocessing the core operating parameters to obtain preprocessed parameters; identifying deviations in the preprocessed parameters according to a preset low load coal consumption optimization threshold, determining whether the preprocessed parameters are within the optimal operating range, and generating corresponding parameter adjustment instructions if parameters deviate from the optimal operating range; coordinating the adjustment of the combustion system, flue gas system, and pulverized coal preparation system of the coal-fired boiler according to the parameter adjustment instructions to obtain adjustment results; acquiring the core operating parameters and coal consumption data of the coal-fired boiler after adjustment based on the adjustment results, comparing them with the data before adjustment, and determining whether the coal consumption data has been reduced to a preset target value; if the preset target value has not been reached, re-optimizing and adjusting the parameters; and maintaining stable operation of the current operating parameters if the preset target value has been reached.

Description

Technical Field

[0001] This invention relates to the field of coal-fired boiler operation control technology, specifically to a method and system for reducing coal consumption for power generation under low load in a coal-fired boiler. Background Technology

[0002] In actual operation, coal-fired power generating units are often required to operate under low-load conditions for extended periods due to factors such as grid load dispatching and fluctuations in electricity demand. This frequency and duration of low-load operation of coal-fired boilers have further increased, especially after the large-scale grid connection of new energy power generation. Currently, the operating efficiency of coal-fired boilers under rated load conditions is relatively mature. However, when operating at low loads (typically 30%-60% of rated load), problems such as reduced furnace temperature, decreased combustion stability, reduced heat exchange efficiency due to reduced flue gas flow, and poor matching of operating parameters of various systems can easily lead to drawbacks such as increased coal consumption for power generation, excessive pollutant emissions, and accelerated equipment wear.

[0003] In existing technologies, measures to reduce coal consumption at low loads in coal-fired boilers mostly involve single-system regulation, such as optimizing pulverized coal fineness, adjusting secondary air ratio, or improving air preheater sealing. These methods lack coordinated control of the combustion system, flue gas system, and pulverized coal preparation system, resulting in limited regulation effects and difficulty in achieving significant coal consumption reductions. Furthermore, existing regulation methods often rely on fixed parameters, failing to dynamically adjust according to real-time operating conditions such as boiler load fluctuations and coal type changes, leading to poor adaptability. The lack of precise parameter feedback and closed-loop control during regulation also increases the risk of over- or under-regulation, further impacting coal consumption optimization. In addition, some optimization schemes are structurally complex, difficult to modify, and costly to operate, making widespread application in existing coal-fired power generating units difficult. Therefore, developing a method and system that can achieve multi-system coordination, dynamic closed-loop control, strong adaptability, and significant reduction in coal consumption during low-load power generation has become a pressing technical challenge in the field of coal-fired power generation. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for reducing coal consumption for power generation under low load in a coal-fired boiler in order to solve the problems mentioned in the background art.

[0005] To achieve the above-mentioned objectives, the first technical solution adopted by this invention is: a method for reducing coal consumption for power generation in a coal-fired boiler at low load, comprising: S1: Real-time acquisition of core operating parameters of coal-fired boilers during low-load operation, preprocessing of core operating parameters to obtain preprocessed parameters; S2, based on the preset low-load coal consumption optimization threshold, identify the deviation of the preprocessing parameters, determine whether the preprocessing parameters are in the optimal operating range, and if there are parameters that deviate from the optimal operating range, generate the corresponding parameter adjustment command. S3, according to the parameter adjustment command, coordinately adjust the combustion system, flue gas system and pulverized coal preparation system of the coal-fired boiler to obtain the adjustment result; S4. Based on the adjustment results, obtain the core operating parameters and power generation coal consumption data of the coal-fired boiler after adjustment, compare them with the data before adjustment, and determine whether the power generation coal consumption data has been reduced to the preset target value. S5. If the preset target value is not reached, return to step S2 to readjust the parameters; if the preset target value is reached, maintain the current operating parameters to run stably.

[0006] Furthermore, in step S1, the core operating parameters include boiler load, furnace outlet flue gas temperature, exhaust gas temperature, air preheater leakage rate, pulverized coal fineness, primary air temperature, secondary air ratio, and boiler efficiency.

[0007] Furthermore, the core operating parameter preprocessing in step S1 specifically includes: Obtain core operating parameters, and perform preliminary screening of core operating parameters based on a set data range to obtain normal core operating parameters that are within the data range; The moving average filtering method is used to reduce noise in normal core operating parameters and to analyze missing parameter values. Missing parameter values ​​are filled in using linear interpolation. The parameters after completion are standardized to obtain preprocessed parameters.

[0008] Furthermore, the adjustment process in step S3 specifically includes: S31, Combustion System Adjustment: Adjust the sway angle and number of operating layers of the pulverized coal burner to ensure uniform combustion of pulverized coal in the furnace, control the flue gas temperature deviation at the furnace outlet to not exceed ±15℃, and simultaneously adjust the pulverized coal supply rate to ensure that the pulverized coal combustion rate is not less than 98%; S32, Flue gas system adjustment: Adjust the speed of the induced draft fan and the forced draft fan, optimize the secondary air ratio, control the excess air coefficient in the furnace between 1.15 and 1.25, and at the same time adjust the sealing of the air preheater to reduce the air preheater leakage rate to below 3%. S33, Coal Powder Preparation System Adjustment: Adjust the grinding pressure and ventilation volume of the coal mill to optimize the fineness of the coal powder, so that the fineness R90 of the coal powder is controlled between 18% and 25%, and at the same time adjust the primary air temperature to raise the primary air temperature to 280-320℃.

[0009] Furthermore, in step S31, the sway angle adjustment range of the pulverized coal burner is -30° to +30°, and the number of operating layers is adjusted in a stepwise manner according to the boiler load. For every 5% decrease in load, 1-2 layers of burners are reduced in operation, and adjacent burners are operated at intervals to ensure uniform combustion in the furnace.

[0010] Furthermore, in step S33, the grinding pressure of the coal mill is adjusted within the range of 1.2-1.8 MPa, the ventilation volume is adjusted within the range of 60%-90% of the rated ventilation volume of the coal mill, and the primary air temperature is controlled by the preheater bypass adjustment and flue gas recirculation.

[0011] Furthermore, in step S4, after the coal consumption for power generation reaches the preset target value, the core operating parameters are checked every 30-60 minutes. If the core operating parameters deviate from the set parameter threshold, the parameters are automatically adjusted to maintain the coal consumption within the target value ±0.2g / kWh range.

[0012] Furthermore, the parameter adjustment command analysis steps are as follows: Obtain the core operating parameters, compare the core operating parameters with the set operating parameters, and obtain the deviation value; Compare the deviation value with the set first deviation threshold and second deviation threshold; If the deviation value is less than the first deviation threshold, it is judged as a slight deviation; If the deviation value is greater than or equal to the first deviation threshold and less than the second deviation threshold, it is judged as a moderate deviation. If the deviation value is greater than or equal to the second deviation threshold, it is judged as a serious deviation; Matching adjustment commands are generated based on slight, moderate, and severe deviations.

[0013] To achieve the above-mentioned objectives, the second technical solution adopted by the present invention is: a system for reducing coal consumption for power generation under low load of a coal-fired boiler, comprising a processor, a memory, and at least one program, wherein the program is stored in the memory and configured to be executed by the processor, and the program includes instructions for performing a method for reducing coal consumption for power generation under low load of a coal-fired boiler.

[0014] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art: 1. Achieving multi-system synergistic optimization and significantly reducing coal consumption for low-load power generation: This invention achieves optimal matching of operating parameters for each system by synergistically regulating the combustion system, flue gas system, and pulverized coal preparation system, rather than optimizing a single system. This effectively solves core problems such as uneven combustion in the furnace, low heat exchange efficiency, high air leakage rate, and low pulverized coal burnout rate under low-load conditions. It ensures that the coal consumption for power generation is reduced by more than 3g / kWh compared to conventional operation during the entire low-load operation period, resulting in significant energy savings and considerable economic benefits for power plants.

[0015] 2. Dynamic closed-loop control with strong adaptability and precise adjustment: This invention collects boiler operating parameters and coal consumption data in real time through a data acquisition unit. The control unit identifies deviations based on preset optimization thresholds, generates precise adjustment commands, and then feeds the results back to the control unit through a monitoring feedback unit, forming a complete closed-loop control. At the same time, when the boiler load fluctuates, the optimization adjustment process is automatically repeated to achieve dynamic optimization of power generation coal consumption in the low load range. It can flexibly adapt to real-time operating conditions such as load fluctuations and changes in coal type, avoiding the drawbacks of poor adaptability and inaccurate adjustment of existing fixed parameter adjustment methods, and ensuring stable and reliable coal consumption optimization effect.

[0016] 3. Improved combustion stability, reduced equipment wear and pollutant emissions: This invention optimizes the pulverized coal burner's swing angle, number of operating layers, and pulverized coal supply rate to control the flue gas temperature deviation at the furnace outlet to no more than ±15℃, thereby improving the stability of furnace combustion under low load conditions and reducing the rate of unburned pulverized coal and heat loss from incomplete mechanical combustion. Simultaneously, by optimizing the flue gas system parameters and controlling the excess air coefficient within a reasonable range, it reduces flue gas heat loss and the generation of pollutants such as NOx. This not only reduces coal consumption but also equipment wear and pollutant emissions, aligning with the industry's trend towards energy conservation and environmental protection.

[0017] 4. Reasonable structure, low modification difficulty, low operating cost, and easy to promote: The system of this invention is based on the optimized design of existing coal-fired boiler equipment structure, without the need for large-scale modification of the boiler body. The acquisition devices and regulating mechanisms used are all mature conventional equipment, with low modification difficulty and low investment cost. At the same time, the system does not require a large amount of additional manpower during operation, the regulation process is highly automated, the operation and maintenance cost is low, and it can be quickly and widely promoted and applied to various existing coal-fired power generation units, with strong applicability.

[0018] 5. Highly efficient optimization algorithm with fast response: The control unit has a built-in optimization algorithm module based on BP neural network. Combined with historical boiler operating data, coal type characteristics and optimization thresholds, it can quickly and accurately optimize core operating parameters and generate adjustment commands. The algorithm response time is no more than 0.5 seconds, ensuring timely adjustment under sudden operating conditions such as load fluctuations, further guaranteeing the coal consumption optimization effect and boiler operation stability.

[0019] 6. Remote monitoring and anomaly alarms ensure convenient operation and maintenance with high security: This invention adds a remote monitoring unit, which can display boiler operating parameters, adjustment process, and coal consumption data in real time. It supports remote parameter setting and adjustment command issuance, reducing the workload of operation and maintenance personnel. At the same time, it has an anomaly alarm function, which can promptly detect problems such as parameter exceeding the standard, equipment failure, and coal consumption not reaching the target value. This allows operation and maintenance personnel to handle the issues in a timely manner, avoid equipment damage and safety hazards, and improve the safety and reliability of system operation. Attached Figure Description

[0020] Figure 1 This diagram illustrates a method for reducing coal consumption for power generation under low load in a coal-fired boiler, as provided in an embodiment of the present invention. Figure 2 This invention provides a flowchart illustrating the preprocessing of core operating parameters for a method to reduce coal consumption for power generation at low loads in a coal-fired boiler. Figure 3 The flowchart shows the parameter adjustment process of the method for reducing coal consumption for power generation under low load provided in an embodiment of the present invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or system that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or systems.

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] like Figure 1 As shown, this embodiment of the invention provides a method for reducing coal consumption for power generation in a coal-fired boiler at low load, comprising: S1: Real-time acquisition of core operating parameters of coal-fired boilers during low-load operation, preprocessing of core operating parameters to obtain preprocessed parameters; Specifically, the load range for low-load operation is 30%-60% of the boiler's rated load, and the core operating parameters are collected at a frequency of no less than once per minute with an accuracy of no less than ±0.5%.

[0025] S2, based on the preset low-load coal consumption optimization threshold, identify the deviation of the preprocessing parameters, determine whether the preprocessing parameters are in the optimal operating range, and if there are parameters that deviate from the optimal operating range, generate the corresponding parameter adjustment command. Specifically, the preset low-load coal consumption optimization threshold is the optimal operating range of each parameter and the corresponding coal consumption target value obtained through simulation and field test calibration based on the model, rated load, coal type characteristics and operating history data of the coal-fired boiler.

[0026] S3, according to the parameter adjustment command, coordinately adjust the combustion system, flue gas system and pulverized coal preparation system of the coal-fired boiler to obtain the adjustment result; S4. Based on the adjustment results, obtain the core operating parameters and power generation coal consumption data of the coal-fired boiler after adjustment, compare them with the data before adjustment, and determine whether the power generation coal consumption data has been reduced to the preset target value. Specifically, the coal consumption data for power generation is obtained through collaborative collection and calculation by the power generation metering device and the coal consumption metering device, with a calculation accuracy of no less than ±0.1g / kWh. When comparing and analyzing, the changing trends of boiler efficiency, flue gas heat loss and mechanical incomplete combustion heat loss are also taken into account.

[0027] S5. If the preset target value is not reached, return to step S2 to readjust the parameters; if the preset target value is reached, maintain the current operating parameters to run stably.

[0028] According to an embodiment of the present invention, in step S1, the core operating parameters include boiler load, furnace outlet flue gas temperature, exhaust gas temperature, air preheater leakage rate, pulverized coal fineness, primary air temperature, secondary air ratio, and boiler efficiency.

[0029] like Figure 2 As shown in the embodiment of the present invention, the core operating parameter preprocessing in step S1 specifically includes: S11, Obtain core operating parameters, and perform preliminary screening of core operating parameters based on a set data range to obtain normal core operating parameters within the data range; S12, noise reduction of normal core operating parameters based on moving average filtering method, and analysis of missing parameter values; S13, missing parameter values ​​are filled in using linear interpolation; S14. Standardize the parameters after completion to obtain preprocessed parameters.

[0030] It should be noted that the collected original core operating parameters are initially screened to remove extreme abnormal data that are significantly outside the reasonable range. The criteria for judging extreme abnormal data are: values ​​that deviate from the normal low-load operating range of the parameter by ±30%. After screening, the original parameters that conform to the basic operating logic are retained. Data noise reduction: The moving average filtering method is used to reduce noise in the parameters after preliminary screening. The moving window size is set to 5-10 collection cycles. The average value of the parameters within the window is calculated and replaced with the original value of the center collection point within the window to eliminate the instantaneous fluctuation of parameters caused by electromagnetic interference and airflow fluctuations, and ensure smooth parameter data. Missing value completion: For missing parameter values ​​that appear after noise reduction processing, linear interpolation is used to complete them. If the missing value does not exceed 3 consecutive acquisition cycles, the parameter value of the missing point is calculated by linear fitting of two adjacent valid acquisition data. If the missing value exceeds 3 consecutive acquisition cycles, an early warning signal is immediately triggered, and the average value of the previous 10 acquisition cycles is used for temporary completion. At the same time, feedback is sent to the control unit to remind the acquisition equipment to be checked. Parameter standardization processing: The noise-reduced and completed parameters are standardized and converted according to the preset parameter standardization formula. The core operating parameters of each type are converted into standardized parameters in the 0-1 range to eliminate the dimensional differences of different parameters, which facilitates the control unit to perform deviation identification and optimization analysis in the future. Preprocessing parameter verification: Verify the standardized preprocessing parameters and compare the deviation rate of the parameters before and after preprocessing. If the deviation rate exceeds 5%, the preprocessing is deemed unqualified and preprocessing is repeated. If the deviation rate is ≤5%, the preprocessing is deemed qualified and the preprocessing parameters are transmitted to the control unit to complete the entire process of core operating parameter acquisition and preprocessing.

[0031] like Figure 3 As shown in the embodiment of the present invention, the adjustment process in step S3 specifically includes: S31, Combustion System Adjustment: Adjust the sway angle and number of operating layers of the pulverized coal burner to ensure uniform combustion of pulverized coal in the furnace, control the flue gas temperature deviation at the furnace outlet to not exceed ±15℃, and simultaneously adjust the pulverized coal supply rate to ensure that the pulverized coal combustion rate is not less than 98%; S32, Flue gas system adjustment: Adjust the speed of the induced draft fan and the forced draft fan, optimize the secondary air ratio, control the excess air coefficient in the furnace between 1.15 and 1.25, and at the same time adjust the sealing of the air preheater to reduce the air preheater leakage rate to below 3%. Specifically, in step S32, the speed of the induced draft fan and the forced draft fan is adjusted by frequency conversion with an adjustment accuracy of ±1 r / min. When adjusting the secondary air ratio, the deviation of the secondary air volume between the upper and lower layers does not exceed 5%. The air preheater seal adjustment adopts a flexible seal compensation method to compensate the gap between the air preheater rotor and the shell in real time.

[0032] S33, Coal Powder Preparation System Adjustment: Adjust the grinding pressure and ventilation volume of the coal mill to optimize the fineness of the coal powder, so that the fineness R90 of the coal powder is controlled between 18% and 25%, and at the same time adjust the primary air temperature to raise the primary air temperature to 280-320℃.

[0033] According to an embodiment of the present invention, in step S31, the sway angle adjustment range of the pulverized coal burner is -30° to +30°, and the number of operating layers is adjusted in a stepwise manner according to the boiler load. For every 5% decrease in load, 1-2 layers of burners are reduced in operation, and adjacent burners are operated at intervals to ensure uniform combustion in the furnace.

[0034] According to an embodiment of the present invention, in step S33, the grinding pressure of the coal mill is adjusted within the range of 1.2-1.8 MPa, the ventilation volume is adjusted within the range of 60%-90% of the rated ventilation volume of the coal mill, and the primary air temperature is controlled by the preheater bypass adjustment and flue gas recirculation.

[0035] According to an embodiment of the present invention, in step S4, after the coal consumption for power generation reaches the preset target value, the core operating parameters are checked every 30-60 minutes. If the core operating parameters deviate from the set parameter threshold, the parameters are automatically adjusted to maintain the coal consumption within the range of ±0.2g / kWh of the target value.

[0036] According to an embodiment of the present invention, the parameter adjustment command analysis steps are as follows: Obtain the core operating parameters, compare the core operating parameters with the set operating parameters, and obtain the deviation value; Compare the deviation value with the set first deviation threshold and second deviation threshold; If the deviation value is less than the first deviation threshold, it is judged as a slight deviation; If the deviation value is greater than or equal to the first deviation threshold and less than the second deviation threshold, it is judged as a moderate deviation. If the deviation value is greater than or equal to the second deviation threshold, it is judged as a serious deviation; Matching adjustment commands are generated based on slight, moderate, and severe deviations.

[0037] According to an embodiment of the present invention, step S3 further includes coordinated adjustment of the boiler feedwater system, adjusting the feedwater temperature and feedwater flow rate to match the feedwater temperature with the flue gas temperature at the furnace outlet, and controlling the feedwater flow rate at 40%-70% of the boiler's rated feedwater flow rate to reduce heat exchange losses and further reduce coal consumption for power generation.

[0038] The feedwater temperature is adjusted by the economizer heat exchanger with an adjustment accuracy of no less than ±1℃. The feedwater flow rate is adjusted by the feedwater regulating valve via frequency conversion to ensure stable feedwater flow and avoid furnace temperature fluctuations and increased coal consumption caused by feedwater fluctuations.

[0039] According to an embodiment of the present invention, when the load of the coal-fired boiler fluctuates, steps S1-S4 are repeated to achieve dynamic optimization control of power generation coal consumption in the low load range, ensuring that the power generation coal consumption of the boiler is reduced by more than 3g / kWh compared with the conventional operation mode during the entire low load operation period.

[0040] When the boiler load fluctuation exceeds 5% / min, the control unit activates the rapid adjustment mode, shortens the parameter acquisition interval to 10-20 seconds, speeds up the generation and execution of adjustment commands, and avoids a sudden increase in coal consumption caused by rapid load fluctuations.

[0041] To achieve the above-mentioned objectives, the second technical solution adopted by the present invention is: a system for reducing coal consumption for power generation under low load of a coal-fired boiler, comprising a processor, a memory, and at least one program, wherein the program is stored in the memory and configured to be executed by the processor, and the program includes instructions for performing a method for reducing coal consumption for power generation under low load of a coal-fired boiler.

[0042] In summary, the present invention has the following advantages compared with the prior art: 1. Achieving multi-system synergistic optimization and significantly reducing coal consumption for low-load power generation: This invention achieves optimal matching of operating parameters for each system by synergistically regulating the combustion system, flue gas system, and pulverized coal preparation system, rather than optimizing a single system. This effectively solves core problems such as uneven combustion in the furnace, low heat exchange efficiency, high air leakage rate, and low pulverized coal burnout rate under low-load conditions. It ensures that the coal consumption for power generation is reduced by more than 3g / kWh compared to conventional operation during the entire low-load operation period, resulting in significant energy savings and considerable economic benefits for power plants.

[0043] 2. Dynamic closed-loop control with strong adaptability and precise adjustment: This invention collects boiler operating parameters and coal consumption data in real time through a data acquisition unit. The control unit identifies deviations based on preset optimization thresholds, generates precise adjustment commands, and then feeds the results back to the control unit through a monitoring feedback unit, forming a complete closed-loop control. At the same time, when the boiler load fluctuates, the optimization adjustment process is automatically repeated to achieve dynamic optimization of power generation coal consumption in the low load range. It can flexibly adapt to real-time operating conditions such as load fluctuations and changes in coal type, avoiding the drawbacks of poor adaptability and inaccurate adjustment of existing fixed parameter adjustment methods, and ensuring stable and reliable coal consumption optimization effect.

[0044] 3. Improved combustion stability, reduced equipment wear and pollutant emissions: This invention optimizes the pulverized coal burner's swing angle, number of operating layers, and pulverized coal supply rate to control the flue gas temperature deviation at the furnace outlet to no more than ±15℃, thereby improving the stability of furnace combustion under low load conditions and reducing the rate of unburned pulverized coal and heat loss from incomplete mechanical combustion. Simultaneously, by optimizing the flue gas system parameters and controlling the excess air coefficient within a reasonable range, it reduces flue gas heat loss and the generation of pollutants such as NOx. This not only reduces coal consumption but also equipment wear and pollutant emissions, aligning with the industry's trend towards energy conservation and environmental protection.

[0045] 4. Reasonable structure, low modification difficulty, low operating cost, and easy to promote: The system of this invention is based on the optimized design of existing coal-fired boiler equipment structure, without the need for large-scale modification of the boiler body. The acquisition devices and regulating mechanisms used are all mature conventional equipment, with low modification difficulty and low investment cost. At the same time, the system does not require a large amount of additional manpower during operation, the regulation process is highly automated, the operation and maintenance cost is low, and it can be quickly and widely promoted and applied to various existing coal-fired power generation units, with strong applicability.

[0046] 5. Highly efficient optimization algorithm with fast response: The control unit has a built-in optimization algorithm module based on BP neural network. Combined with historical boiler operating data, coal type characteristics and optimization thresholds, it can quickly and accurately optimize core operating parameters and generate adjustment commands. The algorithm response time is no more than 0.5 seconds, ensuring timely adjustment under sudden operating conditions such as load fluctuations, further guaranteeing the coal consumption optimization effect and boiler operation stability.

[0047] 6. Remote monitoring and anomaly alarms ensure convenient operation and maintenance with high security: This invention adds a remote monitoring unit, which can display boiler operating parameters, adjustment process, and coal consumption data in real time. It supports remote parameter setting and adjustment command issuance, reducing the workload of operation and maintenance personnel. At the same time, it has an anomaly alarm function, which can promptly detect problems such as parameter exceeding the standard, equipment failure, and coal consumption not reaching the target value. This allows operation and maintenance personnel to handle the issues in a timely manner, avoid equipment damage and safety hazards, and improve the safety and reliability of system operation.

[0048] Those skilled in the art will understand that, for ease of explanation, the example is provided with one memory and one processor. In actual terminals or servers, multiple processors and memories may exist. Memory can also be referred to as storage medium or storage device, etc., and the embodiments of this application do not limit this.

[0049] It should be understood that in the embodiments of this application, the processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor may also be a general-purpose microprocessor, graphics processing unit (GPU), or one or more integrated circuits to execute relevant programs to achieve the functions required by the embodiments of this application.

[0050] The processor can also be an integrated circuit chip with signal processing capabilities. In implementation, each step of this application can be completed through integrated logic circuits in the processor hardware or instructions in software form. The aforementioned processor can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The steps of the methods disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the functions required by the units included in the methods, systems, and storage media of the embodiments of this application.

[0051] It should also be understood that the memory mentioned in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as an external cache.

[0052] By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).

[0053] The memory can also be a Compact Disc Read-Only Memory (CD-ROM) or other optical disc storage, optical disk storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures that can be accessed by a computer, but is not limited thereto. The memory can exist independently and be connected to the processor via a bus. The memory can also be integrated with the processor. The memory can store programs, and when the program stored in the memory is executed by the processor, the processor performs the various steps of the method determined in the above embodiments of this application.

[0054] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA, or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, the memory (storage module) is integrated into the processor. It should be noted that the memory described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0055] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0056] In implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software. The steps of the method disclosed in the embodiments of this application can be directly implemented by a hardware processor, or by a combination of hardware and software modules within the processor. The software modules can reside in mature storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. Since this storage medium is located in memory, the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method; to avoid repetition, these will not be described in detail here.

[0057] Those skilled in the art will recognize that the various illustrative logical blocks (ILBs) and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0058] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer-programmed program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a processor, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a computer network, or other programmable device.

[0059] This embodiment also provides a computer-readable storage medium storing a computer program that causes a computer to execute in order to implement the above-described method based on multi-stage vortex and intelligent feedforward.

[0060] It should be noted that computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic) or wireless (e.g., infrared, wireless, microwave, etc.) means, or from one website, computer, server, or data center to a mobile phone processor via a wired means. A computer-readable storage medium can be any usable medium that a computer can access, or a data storage system such as a server or data center that integrates one or more usable media. Usable media can be magnetic media (e.g., floppy disks, hard disks), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives), etc.

[0061] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for reducing coal consumption for power generation in a coal-fired boiler at low load, characterized in that, include: S1: Real-time acquisition of core operating parameters of coal-fired boilers during low-load operation, preprocessing of core operating parameters to obtain preprocessed parameters; S2, based on the preset low-load coal consumption optimization threshold, identify the deviation of the preprocessing parameters, determine whether the preprocessing parameters are in the optimal operating range, and if there are parameters that deviate from the optimal operating range, generate the corresponding parameter adjustment command. S3, according to the parameter adjustment command, coordinately adjust the combustion system, flue gas system and pulverized coal preparation system of the coal-fired boiler to obtain the adjustment result; S4. Based on the adjustment results, obtain the core operating parameters and power generation coal consumption data of the coal-fired boiler after adjustment, compare them with the data before adjustment, and determine whether the power generation coal consumption data has been reduced to the preset target value. S5. If the preset target value is not reached, return to step S2 to readjust the parameter optimization. If the preset target value is reached, maintain stable operation of the current operating parameters.

2. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 1, characterized in that, In step S1, the core operating parameters include boiler load, furnace outlet flue gas temperature, exhaust gas temperature, air preheater leakage rate, pulverized coal fineness, primary air temperature, secondary air ratio, and boiler efficiency.

3. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 2, characterized in that, The core operating parameter preprocessing in step S1 specifically includes: Obtain core operating parameters, and perform preliminary screening of core operating parameters based on a set data range to obtain normal core operating parameters that are within the data range; The moving average filtering method is used to reduce noise in normal core operating parameters and to analyze missing parameter values. Missing parameter values ​​are filled in using linear interpolation. The parameters after completion are standardized to obtain preprocessed parameters.

4. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 3, characterized in that, The adjustment process in step S3 specifically includes: S31, Combustion System Adjustment: Adjust the sway angle and number of operating layers of the pulverized coal burner to ensure uniform combustion of pulverized coal in the furnace, control the flue gas temperature deviation at the furnace outlet to not exceed ±15℃, and simultaneously adjust the pulverized coal supply rate to ensure that the pulverized coal combustion rate is not less than 98%; S32, Flue gas system adjustment: Adjust the speed of the induced draft fan and the forced draft fan, optimize the secondary air ratio, control the excess air coefficient in the furnace between 1.15 and 1.25, and at the same time adjust the sealing of the air preheater to reduce the air preheater leakage rate to below 3%. S33, Coal Powder Preparation System Adjustment: Adjust the grinding pressure and ventilation volume of the coal mill to optimize the fineness of the coal powder, so that the fineness R90 of the coal powder is controlled between 18% and 25%, and at the same time adjust the primary air temperature to raise the primary air temperature to 280-320℃.

5. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 4, characterized in that, In step S31, the sway angle adjustment range of the pulverized coal burner is -30° to +30°. The number of operating layers is adjusted in stages according to the boiler load. For every 5% decrease in load, 1-2 layers of burners are reduced in operation, and adjacent burners are operated at intervals to ensure uniform combustion in the furnace.

6. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 4, characterized in that, In step S33, the grinding pressure of the coal mill is adjusted within the range of 1.2-1.8 MPa, the ventilation volume is adjusted within the range of 60%-90% of the rated ventilation volume of the coal mill, and the primary air temperature is controlled by the preheater bypass adjustment and flue gas recirculation.

7. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 1, characterized in that, In step S4, once the coal consumption for power generation reaches the preset target value, the core operating parameters are checked every 30-60 minutes. If the core operating parameters deviate from the set parameter threshold, the parameters are automatically adjusted to maintain the coal consumption within the target value ±0.2g / kWh range.

8. The method for reducing coal consumption for power generation at low load in a coal-fired boiler as described in claim 1, characterized in that, The steps for analyzing parameter adjustment commands are as follows: Obtain the core operating parameters, compare the core operating parameters with the set operating parameters, and obtain the deviation value; Compare the deviation value with the set first deviation threshold and second deviation threshold; If the deviation value is less than the first deviation threshold, it is judged as a slight deviation; If the deviation value is greater than or equal to the first deviation threshold and less than the second deviation threshold, it is judged as a moderate deviation. If the deviation value is greater than or equal to the second deviation threshold, it is judged as a serious deviation; Matching adjustment commands are generated based on slight, moderate, and severe deviations.

9. A system for reducing coal consumption for power generation under low load in a coal-fired boiler, characterized in that, The device includes a processor, a memory, and at least one program stored in the memory and configured to be executed by the processor. The program includes instructions for performing a method for reducing coal consumption for power generation at low loads in a coal-fired boiler as described in any one of claims 1-8.

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