CN112651568A - Boiler load dynamic adjustment method and device, control terminal and storage medium - Google Patents
Boiler load dynamic adjustment method and device, control terminal and storage medium Download PDFInfo
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Abstract
The invention is suitable for the technical field of boiler load control, and provides a dynamic boiler load adjusting method, a dynamic boiler load adjusting device, a control terminal and a storage medium, wherein the method comprises the following steps: acquiring an actual measurement load of a boiler; when the measured load is inconsistent with the target load, changing the coal feeding amount of the boiler; solving a function model established by taking the maximum boiler efficiency as a target to obtain the optimal target parameter of the boiler after the coal feeding amount of the boiler is changed; and adjusting the running state of the boiler by using the optimal target parameter, and returning to obtain the measured load of the boiler. The method comprises the steps of continuously obtaining the actual measurement load to compare the actual measurement load with the target load, then changing the coal feeding amount of the boiler, further obtaining the optimal target parameter of the boiler after the coal feeding amount is changed by utilizing an optimization algorithm, and repeating the steps until the boiler operates under the optimal target parameter and the load reaches the target load, thereby realizing the dynamic adjustment of the boiler load.
Description
Technical Field
The invention belongs to the technical field of boiler load control, and particularly relates to a method and a device for dynamically adjusting boiler load, a control terminal and a storage medium.
Background
The wind-coal ratio given by the manual experience on site has certain hysteresis, which causes the waste of energy.
The combustion of the boiler needs to take benefit and environmental protection into consideration, and the combustion of the boiler needs to be in proper proportion of coal and air. If the coal is too much, incomplete combustion of the coal can be caused; if the wind is too much, the air can take away more heat, and the energy is wasted. Therefore, improper proportioning can cause the efficiency of the boiler to be reduced or the concentration of nitrogen oxides to be improved, and proper air-coal proportioning is important for combustion of the boiler.
However, the air-coal mixture ratio is still mainly determined by the experience of field operators, because the air-coal mixture ratio is complex, the correct mixture ratio is difficult to give by the experience, and the manual change of the variables has certain hysteresis, so that the boiler is often combusted under the condition of the improper air-coal mixture ratio, and the energy is wasted.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for dynamically adjusting a boiler load, a control terminal, and a storage medium, so as to solve the problem in the prior art that energy waste is easily caused by manual adjustment of a boiler air-coal ratio.
In a first aspect of the embodiments of the present invention, a method for dynamically adjusting a boiler load is provided, which at least includes the steps of: acquiring an actual measurement load of a boiler; when the measured load is inconsistent with the target load, changing the coal feeding amount of the boiler; solving a function model established by taking the maximum boiler efficiency as a target to obtain the optimal target parameter of the boiler after the coal feeding amount of the boiler is changed; and adjusting the running state of the boiler by using the optimal target parameter, and returning to obtain the measured load of the boiler.
In some optional embodiments, when the measured load is not consistent with the target load, changing the coal feeding amount of the boiler comprises: when the actual measurement load is larger than the target load, reducing a set step length of the coal feeding amount; or when the actual measurement load is smaller than the target load, increasing the coal feeding amount by a set step length.
In some optional embodiments, the function model established with the goal of maximizing boiler efficiency specifically includes: an objective function: max: fμ(X); constraint conditions are as follows: s.t: a<X<b，fnox(X)<NOx.max，P.min<ffurnace(X)<Max, wherein fμ(X) is a potThe furnace thermal efficiency model is that X is each controllable variable, a and b are the upper and lower limit values of each controllable variable, fnox(X) is a NOx model, NOx.max is the maximum allowable NOx emission, ffurnaceAnd (X) is a furnace pressure difference model, and P.min and P.max are the minimum and maximum values allowed by the furnace pressure difference.
In some alternative embodiments, the controllable variables include: at least one variable of coal feeding quantity, water feeding quantity, draught fan air quantity, primary fan current and secondary fan current.
In some optional embodiments, when solving the function model established with the aim of maximizing the boiler efficiency, a regression algorithm is used to fit the relationship between at least one of the controlled variable coal feed, feedwater flow, induced draft fan air volume, primary fan current, secondary fan current, and the boiler efficiency and NOx concentration.
In some optional embodiments, the regression algorithm comprises an XGBoost algorithm.
In some optional embodiments, solving the function model established with the goal of maximizing the boiler efficiency specifically includes: and solving a function model established by taking the maximum boiler efficiency as a target by utilizing a genetic algorithm.
In a second aspect of the embodiments of the present invention, a dynamic boiler load adjustment device is provided, which at least includes: the actual measurement load acquisition module is used for acquiring the actual measurement load of the boiler; the boiler coal feeding control module is used for changing the coal feeding amount of the boiler when the measured load is inconsistent with the target load; the optimization parameter calculation module is used for solving a function model established by taking the maximum boiler efficiency as a target to obtain the optimal target parameters of the boiler after the coal feeding amount of the boiler is changed; and the boiler load adjusting module is used for adjusting the running state of the boiler by using the optimal target parameter and returning to obtain the measured load of the boiler.
In a third aspect of the embodiments of the present invention, a control terminal is provided, including: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor when executing the computer program implementing the steps of the boiler load dynamic adjustment method according to any of the first aspect.
In a fourth aspect of the embodiments of the present invention, a memory is provided, the memory storing a computer program executable on a processor, the computer program implementing the steps of the boiler load dynamic adjustment method according to any one of the first aspect when the computer program is executed on the processor.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the method comprises the steps of continuously obtaining the actual measurement load to compare the actual measurement load with the target load, then changing the coal feeding amount of the boiler, further obtaining the optimal target parameter of the boiler after the coal feeding amount is changed by utilizing an optimization algorithm, and repeating the steps until the boiler operates under the optimal target parameter and the load reaches the target load, thereby realizing the dynamic adjustment of the boiler load.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a system architecture to which the boiler load dynamics regulating method and boiler load dynamics regulating apparatus of the present invention can be applied;
FIG. 2 is a flow chart of a method for dynamically adjusting boiler load according to an embodiment;
FIG. 3 is a schematic structural diagram of a boiler load dynamic adjustment apparatus according to a second embodiment.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Referring to fig. 1, a system architecture to which the boiler load dynamic adjustment method and the boiler load dynamic adjustment apparatus of the present invention can be applied is shown, wherein the system architecture 100 includes: boiler system 101, boiler 102, microcomputer 103 and control system 104. The microcomputer is connected to the boiler system, and the microcomputer can be used for acquiring the operation parameters of the boiler or monitoring data of the boiler, and can be optimized according to the operation parameters of the boiler through various optimization models established for the boiler or machine learning models trained in advance, so that the optimized operation parameters in the energy efficiency optimal state are obtained and sent to a control system, such as a DCS (distributed control system). Wherein the control system 104 adjusts the boiler according to the received optimized operation parameter, so that the boiler operates under the optimized operation parameter, thereby realizing the efficient operation of the boiler.
Illustratively, the microcomputer may be a control terminal, for example, the control terminal may specifically include: a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor, when executing the computer program, implements the following steps in the respective boiler load dynamic adjustment method embodiments, such as steps S01 to S04 in the following embodiments. Alternatively, the processor, when executing the computer program, may perform the following functions of each module/unit in each boiler load dynamics regulating apparatus embodiment.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the microcomputer.
The microcomputer can be a desktop computer, a notebook, a palm computer, a cloud server and other computing equipment. The microcomputer may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the microcomputer may also include input and output devices, network access devices, buses, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be an internal storage unit of the microcomputer, such as a hard disk or a memory of the microcomputer. The memory may also be an external storage device of the microcomputer, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the microcomputer. Further, the memory may also include both an internal storage unit and an external storage device of the microcomputer. The memory is used for storing the computer program and other programs and data required by the microcomputer. The memory may also be used to temporarily store data that has been output or is to be output.
Wherein, one or more boilers 102 can be included in the boiler system 101, the invention is not limited to the specific number of boilers.
The boiler load dynamic adjusting method and the boiler load dynamic adjusting device provided by the present invention, which can be applied to the system architecture, will be described in detail below by way of specific embodiments and optional examples.
Example one
Fig. 2 is a flowchart of a method for dynamically adjusting a boiler load according to the second embodiment.
Specifically, as shown in fig. 2, the method for dynamically adjusting the boiler load provided in this embodiment may be executed by a microcomputer in fig. 1, and includes the following steps:
s01: acquiring an actual measurement load of a boiler;
s02: when the measured load is inconsistent with the target load, changing the coal feeding amount of the boiler;
s03: solving a function model established by taking the maximum boiler efficiency as a target to obtain the optimal target parameter of the boiler after the coal feeding amount of the boiler is changed;
s04: and adjusting the boiler by using the optimal target parameter, and returning to obtain the measured load of the boiler.
According to the method, the actual measurement load is compared with the target load, when the actual measurement load and the target load are inconsistent, the coal feeding amount of the boiler is adjusted, then the thermal efficiency maximization calculation is carried out on the boiler after the coal feeding amount is adjusted to obtain the optimal target parameter of the boiler, the operation parameter of the boiler is adjusted according to the optimal target parameter, the actual measurement load is obtained again to judge until the boiler meets the target load, so that the dynamic adjustment of the boiler load is realized, and the boiler can be guaranteed to operate under the thermal efficiency maximization.
In step S02, the actual measured load and the target load not being consistent includes two cases, that is, the actual measured load is greater than the target load and the actual measured load is less than the target load. In an example, the step S02 may specifically include the steps of:
s211, when the actual measurement load is larger than the target load, reducing a set step length of the coal feeding amount;
s212, when the actual measurement load is smaller than the target load, increasing a set step length of the coal feeding amount.
The set step size may be any preset value, for example, one step size may be set to 0.1 ton.
In step S03, the function model established with the goal of maximizing the boiler efficiency may specifically include: an objective function:
Max:fμ(X)；
constraint conditions are as follows:
s.t:a<X<b，
fnox(X)<NOx.max，
P.min<ffurnace(X)<P.max，
wherein, wherein: f. ofμ(X) is a model of the thermal efficiency of the boiler, X is each controllable variable, fnox(X) is a NOx model, NOx.max is the maximum allowable NOx emission, ffurnaceAnd (X) is a furnace pressure difference model, and P.min and P.max are the minimum and maximum values allowed by the furnace pressure difference.
Specifically, the controllable variables include, but are not limited to, coal feed amount, water feed amount, draught fan air volume, primary fan current and secondary fan current. The upper and lower limits of each controllable variable can be limited according to practical application, so that the optimization result obtained by solving the objective function is ensured to be within a reasonable range. For example, the upper and lower limits of the controllable variable X, a and b are the upper and lower limits of the variable, and the specific values thereof are not limited by the present invention.
In practical applications, in step S03, when solving the function model established with the goal of maximizing the boiler efficiency, a regression algorithm may be used to fit the relationship between at least one of the controlled variable coal supply quantity, the feed water flow, the draught fan air quantity, the primary fan current, and the secondary fan current, the boiler efficiency, and the NOx concentration. The variables are fitted by a regression algorithm in order to solve the objective function.
Specifically, the regression algorithm includes, but is not limited to, a decision tree algorithm, an XGBoost algorithm, and the like.
In an example, in step S03, the solving the function model established with the goal of maximizing the boiler efficiency specifically includes: and solving a function model established by taking the maximum boiler efficiency as a target by utilizing a genetic algorithm. The present example enables a fast solution of the objective function using genetic algorithms.
In addition, in connection with step S02 above, the step size for changing the coal feeding amount is generally fixed, and when the measured load approaches the target load, if the step size for feeding the coal amount is too large, the measured load may wander around the target load. Because the measured load can be quickly adjusted to be consistent with the target load, the coal feeding amount can be changed in a dynamic step length mode.
For example, a threshold value is set between the measured load and the near target load, and the step S02 may specifically include:
s221, when the actual measurement load is inconsistent with the target load, calculating a difference value between the actual measurement load and the target load;
s222, determining whether a difference between the measured load and the target load is greater than a threshold:
s223, if yes, changing the coal feeding amount of the boiler according to the coal amount of the first step length;
s224, if not, changing the coal feeding amount of the boiler by the coal amount of a second step length, wherein the coal amount of the first step length is larger than that of the second step length.
Wherein changing the coal feed amount of the boiler comprises decreasing the coal feed amount of the boiler when the measured load is greater than the target load; and increasing the coal feeding amount of the boiler when the measured load is smaller than the target load.
In summary, the above method continuously obtains the measured load to compare with the target load, then changes the coal feeding amount of the boiler, further utilizes the optimization algorithm to obtain the optimal target parameter of the boiler after changing the coal feeding amount, and repeats the cycle until the boiler operates under the optimal target parameter and the load reaches the target load, thereby realizing the dynamic adjustment of the boiler load.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example two
Under the same inventive concept, see fig. 3, a schematic structural diagram of a boiler load dynamic adjustment device provided in the second embodiment is shown.
As shown in fig. 3, the boiler load dynamic adjustment device 300 at least includes: an actual measurement load obtaining module 310, configured to obtain an actual measurement load of the boiler; the boiler coal feeding control module 320 is used for changing the coal feeding amount of the boiler when the measured load is inconsistent with the target load; the optimization parameter calculation module 330 is configured to solve a function model established with the maximized boiler efficiency as an objective to obtain an optimal objective parameter of the boiler after changing the coal supply amount of the boiler; and the boiler load adjusting module 340 is configured to adjust the operating state of the boiler by using the optimal target parameter, and return to obtain the measured load of the boiler.
In some embodiments, the boiler coal feed control module 320 may further include: a load difference calculation unit for calculating a difference between the measured load and a target load when the measured load and the target load are not identical; a load difference value judgment unit, configured to judge whether a difference value between the actual measurement load and the target load is greater than a threshold: the first coal feeding control unit is used for changing the coal feeding amount of the boiler by the coal amount of the first step length if the first step length is reached; and the second coal feeding control unit is used for changing the coal feeding amount of the boiler by the coal amount of a second step length if the coal feeding amount is not the same as the first step length, wherein the coal amount of the first step length is larger than the coal amount of the second step length.
Wherein changing the coal feed amount of the boiler comprises decreasing the coal feed amount of the boiler when the measured load is greater than the target load; and increasing the coal feeding amount of the boiler when the measured load is smaller than the target load.
Since the second embodiment and the first embodiment belong to the same inventive concept and have the same specific technical features, the description thereof is omitted here when the first embodiment is fully described above.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method for dynamically adjusting boiler load is characterized by at least comprising the following steps:
acquiring an actual measurement load of a boiler;
when the measured load is inconsistent with the target load, changing the coal feeding amount of the boiler;
solving a function model established by taking the maximum boiler efficiency as a target to obtain the optimal target parameter of the boiler after the coal feeding amount of the boiler is changed;
and adjusting the running state of the boiler by using the optimal target parameter, and returning to obtain the measured load of the boiler.
2. The dynamic boiler load adjustment method according to claim 1, wherein when the measured load is inconsistent with the target load, changing the coal feeding amount of the boiler comprises:
when the actual measurement load is larger than the target load, reducing a set step length of the coal feeding amount; or,
and when the actual measurement load is smaller than the target load, increasing the coal feeding amount by a set step length.
3. The method according to claim 1, wherein the function model established with the goal of maximizing boiler efficiency specifically comprises:
an objective function: max: fμ(X)；
Constraint conditions are as follows:
s.t:a<X<b，
fnox(X)<NOx.max，
P.min<ffurnace(X)<P.max，
wherein f isμ(X) is a model of the thermal efficiency of the boiler, X is each controlled variable, a and b are upper and lower limits for each controlled variable, fnox(X) is a NOx model, NOx.max is the maximum allowable NOx emission, ffurnaceAnd (X) is a furnace pressure difference model, and P.min and P.max are the minimum and maximum values allowed by the furnace pressure difference.
4. A method for dynamic regulation of boiler load according to claim 3, characterized in that said controllable variables comprise: at least one variable of coal feeding quantity, water feeding quantity, draught fan air quantity, primary fan current and secondary fan current.
5. The dynamic boiler load adjustment method according to claim 4, wherein a regression algorithm is used to fit the relationship between at least one of the controlled variables coal feed, feed water flow, induced draft fan air volume, primary fan current, secondary fan current, boiler efficiency and NOx concentration when solving a function model that is built with the goal of maximizing boiler efficiency.
6. The method of claim 5, wherein the regression algorithm comprises an XGboost algorithm.
7. The method according to any one of claims 1 to 6, wherein solving the function model established with the aim of maximizing boiler efficiency comprises: and solving a function model established by taking the maximum boiler efficiency as a target by utilizing a genetic algorithm.
8. A boiler load dynamic adjustment device, characterized by comprising at least:
the actual measurement load acquisition module is used for acquiring the actual measurement load of the boiler;
the boiler coal feeding control module is used for changing the coal feeding amount of the boiler when the measured load is inconsistent with the target load;
the optimization parameter calculation module is used for solving a function model established by taking the maximum boiler efficiency as a target to obtain the optimal target parameters of the boiler after the coal feeding amount of the boiler is changed;
and the boiler load adjusting module is used for adjusting the running state of the boiler by using the optimal target parameter and returning to obtain the measured load of the boiler.
9. A control terminal, comprising: processor, memory and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the boiler load dynamic adjustment method according to any of the claims 1-7.
10. A memory storing a computer program operable on a processor, wherein the computer program, when executed on the processor, performs the steps of the boiler load dynamic adjustment method of any one of claims 1-7.
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| CN114418358A (en) * | 2021-12-31 | 2022-04-29 | 新奥数能科技有限公司 | Boiler scheduling method and device |
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