CN117212770A - Combustion intensity identification method and system based on superheater energy storage condition prediction - Google Patents

Combustion intensity identification method and system based on superheater energy storage condition prediction Download PDF

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Publication number
CN117212770A
CN117212770A CN202311050795.2A CN202311050795A CN117212770A CN 117212770 A CN117212770 A CN 117212770A CN 202311050795 A CN202311050795 A CN 202311050795A CN 117212770 A CN117212770 A CN 117212770A
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energy storage
superheater
temperature
value
steam
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丁宇鸣
许伟强
李志军
周晟阳
黄一博
杨超
陈世彪
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Huadian Electric Power Research Institute Co Ltd
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Huadian Electric Power Research Institute Co Ltd
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Abstract

According to the combustion intensity identification method based on the superheater energy storage condition, which is provided by the embodiment of the application, the desuperheater energy storage enthalpy value is obtained according to the pre-acquired desuperheater data, wherein the desuperheater data comprises the following components: a desuperheater water parameter and desuperheater outlet steam temperature; obtaining an air temperature deviation energy storage enthalpy value of the superheated steam according to the pre-acquired main steam flow and the superheater outlet steam data, wherein the superheater outlet steam data comprises: an outlet steam temperature preset value and an outlet steam temperature actual value; and obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheat water and the energy storage enthalpy value of Wen Piancha, and performing fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity. According to the scheme, the combustion intensity of the current boiler is judged by combining energy storage, the water supply regulation is assisted by the combustion condition, the influence of the temperature fluctuation of the main steam on the running economy and stability of the unit is avoided, and the control quality of the coordination system on the boiler combustion is further improved.

Description

Combustion intensity identification method and system based on superheater energy storage condition prediction
Technical Field
The application relates to the field of overheat control, in particular to a combustion intensity identification method, a combustion intensity identification system, computer equipment and a computer readable storage medium based on superheater energy storage condition prediction.
Background
In a direct current furnace assembly, water and coal are the main fuel components. In order to realize a stable combustion process, the water-coal ratio is adjusted according to the combustion requirement.
In the related art, according to the change of the temperature of the middle point, the control system can timely adjust the supply quantity of water and coal of the superheater, so that the adjustment of the water-coal ratio is realized, and the fuel oxidation reaction in the combustion process can be controlled to achieve the ideal combustion effect.
However, in actual operation of the unit, if the temperature of the middle point is out of alignment or the sensitivity is reduced, the coal water ratio is unbalanced, so that an overheat steam temperature system is affected, and an overtemperature or undertemperature phenomenon can occur in severe cases.
Disclosure of Invention
The embodiment of the application provides a combustion intensity identification method, a combustion intensity identification device, a combustion intensity identification system, a combustion intensity identification computer device and a combustion intensity identification computer readable storage medium based on the energy storage condition of a superheater, so as to at least solve the problem that the combustion condition cannot be accurately identified in the related art.
In a first aspect, an embodiment of the present application provides a combustion intensity identification method based on a superheater energy storage condition, which is applied to identification of a combustion degree of a direct current furnace unit, and the method includes:
obtaining a desuperheater energy storage enthalpy value according to pre-acquired desuperheater data, wherein the desuperheater data comprises: a desuperheater water parameter and desuperheater outlet steam temperature;
obtaining an air temperature deviation energy storage enthalpy value of superheated steam according to the pre-acquired main steam flow and superheater outlet steam data, wherein the superheater outlet steam data comprises: an outlet steam temperature preset value and an outlet steam temperature actual value;
and obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of the air temperature deviation, and performing fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity.
In some embodiments, the determining the combustion intensity based on the superheater energy storage prediction value includes:
obtaining the inlet steam temperature and the outlet steam temperature of a low-temperature superheater in the direct current furnace unit, and obtaining the average steam temperature according to the inlet steam temperature and the outlet steam temperature of the low-temperature superheater;
performing first-order filtering on the average steam temperature to obtain filtered average steam temperature, and obtaining the temperature change rate of the low-temperature superheater according to the filtered average steam temperature and the average steam temperature;
and carrying out fuzzy judgment according to the temperature change rate and the superheater energy storage predicted value to obtain the combustion intensity.
In some embodiments, performing the fuzzy determination according to the temperature change rate and the temperature change rate, and obtaining the combustion intensity includes:
the temperature change rate and the superheater energy storage estimated value are respectively obtained, membership degrees of the superheater energy storage estimated value and each fuzzy set are respectively obtained, and a fuzzy set with the highest membership degree is selected to obtain an optimal input fuzzy set;
acquiring a fuzzy quantity grade corresponding to the optimal input fuzzy set in a preset fuzzy rule list;
and determining combustion intensity corresponding to the temperature change rate and the superheater energy storage estimated value according to the fuzzy quantity grade determination.
In some embodiments, before obtaining the desuperheat water stored enthalpy value according to the pre-acquired desuperheat water parameter, the method further comprises:
the energy storage condition of the overheating system is divided into temperature-reducing water energy storage and temperature deviation energy storage of overheated steam, wherein,
the superheated steam temperature deviation energy storage represents energy storage corresponding to a deviation value between actual temperature and set temperature of the direct current furnace unit under any working condition when the superheated steam temperature deviation energy storage represents the loss of the adjusting space of the superheated water.
In some of these embodiments, the superheater energy storage forecast value is obtained by the following formula:
Q=ΔH 1 +ΔH 2
ΔH 1 =k 1 c(t o1 -t s )f 1 ,ΔH 2 =k 2 c(t o2 -t sp )f m
wherein Q is the superheater energy storage predictive value, delta H 1 Is the heat-reducing water energy storage enthalpy value delta H 2 Is the energy storage enthalpy value, k of air temperature deviation 1 、k 2 Is a unit conversion coefficient, c is a specific heat capacity, to1 is the desuperheater outlet steam temperature, t s Is the temperature of the desuperheating water, f1 is the flow rate of the desuperheating water, t o2 Is the actual value of the outlet steam temperature, t sp Is the outlet steam temperature preset value and fm is the steam flow.
In a second aspect, an embodiment of the present application provides a method for controlling a direct current furnace unit based on a superheater energy storage condition, which is applied to combustion control of the direct current furnace unit, and the method includes:
according to the temperature reduction water parameter and the superheater outlet steam data under the current working condition, the method according to the first aspect is based on the current combustion condition of the obtained direct current furnace unit;
and supporting the current combustion condition by the data to generate a water supply adjusting signal of the direct current furnace unit.
In a third aspect, an embodiment of the present application provides a combustion intensity recognition system based on a superheater energy storage condition, which is applied to a combustion intensity recognition process of a direct current furnace unit, and the system includes: the system comprises a superheater energy storage estimating module and a combustion intensity judging module, wherein:
the superheater energy storage estimation module is used for obtaining a desuperheater water energy storage enthalpy value according to desuperheater parameters, wherein the desuperheater water parameters comprise: the temperature reduction water parameter and the temperature of steam at the outlet of the attemperator,
and obtaining an air temperature deviation energy storage enthalpy value according to the superheater outlet steam data, wherein the superheater outlet steam data comprises: the steam flow, the preset value of the outlet steam temperature and the actual value of the outlet steam temperature,
according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of the air temperature deviation, an energy storage estimated value of the superheater is obtained;
and the combustion intensity judging module is used for carrying out fuzzy judgment according to the superheater energy storage predicted value to obtain the combustion intensity.
In some of these embodiments, the combustion intensity determination module includes a preprocessing module and a determination module, wherein:
the pretreatment module is used for obtaining a desuperheater energy storage enthalpy value according to pre-acquired desuperheater data, wherein the desuperheater data comprises: the temperature reduction water parameter and the temperature of steam at the outlet of the attemperator,
and obtaining an air temperature deviation energy storage enthalpy value of the superheated steam according to the pre-acquired main steam flow and the superheater outlet steam data, wherein the superheater outlet steam data comprises: an outlet steam temperature preset value and an outlet steam temperature actual value;
the judging module is used for obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of the air temperature deviation, and carrying out fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity.
In a third aspect, an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method according to the first aspect when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method as described in the first aspect above.
Compared with the related art, the combustion intensity identification method based on the superheater energy storage condition provided by the embodiment of the application obtains the desuperheater energy storage enthalpy value according to the pre-acquired desuperheater data, wherein the desuperheater data comprises the following components: a desuperheater water parameter and desuperheater outlet steam temperature; obtaining an air temperature deviation energy storage enthalpy value of the superheated steam according to the pre-acquired main steam flow and the superheater outlet steam data, wherein the superheater outlet steam data comprises: an outlet steam temperature preset value and an outlet steam temperature actual value; and obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheat water and the energy storage enthalpy value of Wen Piancha, and performing fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity. According to the scheme, the combustion intensity of the current boiler is judged by combining energy storage, the water supply regulation is assisted by the combustion condition, the influence of the temperature fluctuation of the main steam on the running economy and stability of the unit is avoided, and the control quality of the coordination system on the boiler combustion is further improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a combustion intensity identification method based on a superheater energy storage condition in accordance with an embodiment of the present application;
FIG. 2 is a flow chart of determining combustion intensity based on a superheater energy storage prediction value based on fuzzy determination in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of a method of controlling a direct current furnace assembly based on a superheater energy storage condition in accordance with an embodiment of the present application;
FIG. 4 is a block diagram of a combustion intensity identification system based on superheater energy storage conditions in accordance with an embodiment of the present application;
FIG. 5 is a schematic diagram of another combustion event system based on a superheater energy storage event in accordance with an embodiment of the present application;
fig. 6 is a schematic diagram of an internal structure of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described and illustrated with reference to the accompanying drawings and examples in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. All other embodiments, which can be made by a person of ordinary skill in the art based on the embodiments provided by the present application without making any inventive effort, are intended to fall within the scope of the present application.
It is apparent that the drawings in the following description are only some examples or embodiments of the present application, and it is possible for those of ordinary skill in the art to apply the present application to other similar situations according to these drawings without inventive effort. Moreover, it should be appreciated that while such a development effort might be complex and lengthy, it would nevertheless be a routine undertaking of design, fabrication, or manufacture for those of ordinary skill having the benefit of this disclosure, and thus should not be construed as having the benefit of this disclosure.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is to be expressly and implicitly understood by those of ordinary skill in the art that the described embodiments of the application can be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. The terms "a," "an," "the," and similar referents in the context of the application are not to be construed as limiting the quantity, but rather as singular or plural. The terms "comprising," "including," "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The terms "connected," "coupled," and the like in connection with the present application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as used herein means two or more. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., "a and/or B" may mean: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. The terms "first," "second," "third," and the like, as used herein, are merely distinguishing between similar objects and not representing a particular ordering of objects.
The embodiment provides a combustion intensity identification method based on the energy storage condition of a superheater, and fig. 1 is a flowchart of the combustion intensity identification method based on the energy storage condition of the superheater according to the embodiment of the application, as shown in fig. 1, the flowchart includes the following steps:
s101, constructing an operation environment for estimating the energy storage of the superheater, and dividing the energy storage condition of the superheating system into desuperheating water energy storage and temperature deviation energy storage of superheated steam;
in the thermal engineering, a superheater is an apparatus for further heating steam to a superheated state. Superheated state means that the temperature of the steam is higher than the saturation temperature, and thus has a higher thermal energy content. Such superheating increases the thermal energy content of the steam, making it more suitable for use in applications that drive steam turbines or other high thermal energy requirements.
In this embodiment, when the superheated steam generated by the superheater exceeds the actual requirement of the current system, the excess steam can be stored by the superheated energy storage technology and released for use when required later. In this way, overheat energy storage plays a role in balancing supply and demand to a certain extent, flexibility and efficiency of the system are improved, and energy stored by overheat energy storage technology is called overheat energy storage.
The energy storage of the superheater can be divided into a desuperheater water storage energy storage and a desuperheater steam temperature deviation energy storage, wherein the desuperheater water energy storage represents an energy storage value corresponding to any desuperheater water flow value, the desuperheater water flow can influence the overheat temperature, the larger the desuperheater water flow is, the stronger the adjusting capacity on the steam temperature is, the larger the corresponding desuperheater water energy storage is, and conversely, the smaller the desuperheater water flow is, the smaller the corresponding desuperheater water energy storage is;
further, the superheated steam temperature deviation energy storage represents energy storage corresponding to the actual combustion temperature in the hearth when the temperature reduction water loses the adjusting space (namely the temperature reduction water adjusting valve is fully opened or fully closed). Specifically, when the desuperheating water is fully opened, the higher the actual temperature value under the fixed working condition is than the design value of the boiler, the larger the corresponding energy storage value is.
S102, obtaining a desuperheater energy storage enthalpy value according to desuperheater data, wherein the desuperheater data comprises: a desuperheater water parameter and desuperheater outlet steam temperature;
specifically, during operation of the direct current furnace, the above desuperheater data is obtained from a desuperheater, and the desuperheater data specifically includes: the temperature-reducing water flow rate fl, the temperature ts of the temperature-reducing water and the temperature to1 of the outlet steam of the temperature reducer.
Wherein, the change of the temperature of the desuperheater and the temperature of the desuperheater can directly influence the temperature of the steam at the outlet of the desuperheater. Increasing the desuperheater water flow or decreasing the desuperheater water temperature typically results in a decrease in desuperheater outlet steam temperature. Conversely, decreasing the desuperheater flow rate or increasing the desuperheater temperature may result in an increase in desuperheater outlet steam temperature.
According to the above parameters, the heat capacity c of water is combined to obtain the energy storage enthalpy value of the desuperheating water, specifically, the energy storage enthalpy value of the desuperheating water is obtained by the following formula 1:
equation 1: ΔH 1 =k 1 c(t o1 -t s )f 1
Wherein k is 1 Is the unit conversion coefficient.
S103, obtaining an air temperature deviation energy storage enthalpy value according to the main steam flow and the superheater outlet steam data, wherein the superheater outlet steam data comprises: steam flow, outlet steam temperature preset value and outlet steam temperature actual value;
specifically, the main steam flow fm is obtained from a main steam pipeline, the outlet steam temperature actual value to2 under any working condition is obtained from a superheater, and the outlet steam temperature preset value tsp under the working condition is determined, wherein the deviation of the outlet steam temperature actual value to2 is the temperature deviation of the superheated steam.
Further, according to the above parameters, the air temperature deviation energy storage enthalpy value can be obtained by combining the specific heat capacity c of water, specifically, the air temperature deviation energy storage enthalpy value is obtained by the following formula 2:
equation 2: ΔH 2 =k 2 c(t o2 -t sp )f m
S104, obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of Wen Piancha, and performing fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity.
Fig. 2 is a flowchart of determining combustion intensity according to a fuzzy judgment of a superheater energy storage estimated value according to an embodiment of the present application, and as shown in fig. 2, step S104 specifically includes the following steps:
s1040, obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheated water and the energy storage enthalpy value of Wen Piancha;
combining the above-mentioned desuperheated water energy storage enthalpy value and steam air temperature deviation energy storage enthalpy value obtained in steps S101 to S103, a superheater energy storage estimated value can be obtained, optionally, expressed by the following formula 3:
equation 3: q=Δh 1 +ΔH 2
Wherein Q is an overheat energy storage predictive value.
S1041, performing fuzzy judgment according to the superheater energy storage predicted value to obtain combustion intensity, and specifically, comprising the following steps:
step1, obtaining the inlet steam temperature and the outlet steam temperature of a low-temperature superheater in a direct current furnace unit, and obtaining the average steam temperature according to the inlet steam temperature and the outlet steam temperature of the low-temperature superheater;
step2, performing first-order filtering on the average steam temperature to obtain a filtered average steam temperature, and obtaining the temperature change rate of the low-temperature superheater according to the filtered average steam temperature and the filtered average steam temperature;
the time constant of the first-order filtering can be set to 60S, and the temperature change rate of the low-temperature superheater can be obtained by subtracting the filtered average steam temperature after the first-order filtering from the average steam temperature.
Step3, fuzzy judgment is carried out according to the temperature change rate and the superheater energy storage predicted value, and the combustion intensity is obtained.
Specifically, a preset fuzzy rule list is preset, N fuzzy quantization levels, for example, [ small NB, small NS, zero ZE, large PS, large PB ], are set in the fuzzy rule list, and the relation between the input quantity (temperature change rate and superheater energy storage predictive value) and the output quantity (fuzzy quantity level) is represented by the fuzzy rule list.
Table 1 below is a fuzzy rule list in the present embodiment:
and acquiring the input quantity (the temperature change rate and the superheater energy storage predicted value) to be processed at any moment, and determining the membership degree of the input quantity (the temperature change rate and the superheater energy storage predicted value) to be processed and each fuzzy set through a preset membership degree function.
Selecting a fuzzy set with highest membership degree with the input quantity to be processed (temperature change rate and superheater energy storage predicted value), and matching in a fuzzy rule list according to the fuzzy set to determine a corresponding fuzzy quantity grade, wherein the fuzzy quantity grade can reflect the combustion intensity in a hearth.
Through the steps S101 to S104, compared with the method for judging the combustion intensity based on the intermediate temperature in the related art, the method provided by the application combines the temperature reduction water data and the temperature deviation data to obtain the energy storage predicted value of the superheater, and then carries out fuzzy judgment according to the energy storage predicted value to obtain the combustion intensity of the current boiler, so that the combustion temperature in the hearth can be effectively identified under the condition of misalignment of the temperature at the intermediate point.
Further, the present embodiment also provides a control method of a dc furnace unit based on the energy storage condition of the superheater, and fig. 3 is a flowchart of a control method of a dc furnace unit based on the energy storage condition of the superheater according to an embodiment of the present application, and as shown in fig. 3, the method is applied to a combustion control flow of a dc furnace unit, and includes the following steps:
s301, obtaining a temperature reduction water parameter and superheater outlet steam data under the current working condition;
s302, acquiring the current combustion condition of the direct current furnace unit by a combustion intensity identification method based on the energy storage condition of the superheater in the steps S101-S104 according to the temperature reduction water parameter and the steam data of the superheater outlet under the current working condition;
s303, supporting data according to the current combustion condition, and assisting in water supply adjustment of the direct current furnace unit.
Specifically, according to the combustion condition, the feedforward channels are respectively designed by combining the lifting load condition: load-up feed-forward, load-down feed-forward and steady feed-forward. Wherein, three control channels set up a segmentation broken line function respectively, broken line function takes the burning intensity as input, and the water supply correction is as output, and three channels select one with the switching block and export, and the switching signal adopts lift load to carry out the signal control in.
Through the steps S501 to S503, compared with the water supply adjusting method based on the intermediate temperature in the related art, the method provided by the application predicts the first-stage overheat energy storage size through enthalpy calculation, combines energy storage to judge the current combustion intensity of the boiler, assists water supply adjustment based on combustion conditions, avoids adverse effects of main steam temperature fluctuation on unit operation economy and stability, and further improves the control quality of the coordination system on boiler combustion.
It should be noted that the steps illustrated in the above-described flow or flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.
The application also provides a combustion intensity recognition system based on the superheater energy storage condition, which is applied to a combustion intensity recognition flow of a direct current furnace unit, and fig. 4 is a structural block diagram of the combustion intensity recognition system based on the superheater energy storage condition according to an embodiment of the application, as shown in fig. 4, the system comprises: a superheater energy storage estimation module 40 and a combustion intensity determination module 41, wherein:
the superheater energy storage estimation module 40 is configured to obtain a desuperheating water energy storage enthalpy value according to a desuperheating water parameter, where the desuperheating water parameter includes: the temperature deviation energy storage enthalpy value is obtained according to the temperature reduction water parameter and the temperature of the outlet steam of the desuperheater, wherein the data of the outlet steam of the superheater comprises the following components: steam flow, outlet steam temperature preset value and outlet steam temperature actual value; according to the energy storage enthalpy value of the desuperheated water and the energy storage enthalpy value of Wen Piancha, an energy storage predicted value of the superheater is obtained;
in this embodiment, when the superheated steam generated by the superheater exceeds the actual requirement of the current system, the excess steam can be stored by the superheated energy storage technology and released for use when required later. In this way, overheat energy storage plays a role in balancing supply and demand to a certain extent, flexibility and efficiency of the system are improved, and energy stored by overheat energy storage technology is called overheat energy storage.
The energy storage of the superheater can be divided into a desuperheater water storage energy storage and a desuperheater steam temperature deviation energy storage, wherein the desuperheater water energy storage represents an energy storage value corresponding to any desuperheater water flow value, the desuperheater water flow can influence the overheat temperature, the larger the desuperheater water flow is, the stronger the adjusting capacity on the steam temperature is, the larger the corresponding desuperheater water energy storage is, and conversely, the smaller the desuperheater water flow is, the smaller the corresponding desuperheater water energy storage is; further, the superheated steam temperature deviation energy storage represents energy storage corresponding to the actual combustion temperature in the hearth when the temperature reduction water loses the adjusting space (namely the temperature reduction water adjusting valve is fully opened or fully closed). Specifically, when the desuperheating water is fully opened, the higher the actual temperature value under the fixed working condition is than the design value of the boiler, the larger the corresponding energy storage value is
The combustion intensity judging module 41 is used for carrying out fuzzy judgment according to the superheater energy storage predicted value to obtain the combustion intensity.
Specifically, the combustion intensity determination module 41 includes a preprocessing module 410 and a determination module 411, where:
the preprocessing module 410 is configured to obtain an inlet steam temperature and an outlet steam temperature of a low-temperature superheater in the direct current furnace unit, obtain an average steam temperature according to the inlet steam temperature and the outlet steam temperature of the low-temperature superheater, perform first-order filtering on the average steam temperature to obtain a filtered average steam temperature, and obtain a temperature change rate of the low-temperature superheater according to the filtered average steam temperature and the filtered average steam temperature;
the judging module 411 is configured to perform fuzzy judgment according to the temperature change rate and the temperature change rate, so as to obtain the combustion intensity.
According to the fuzzy rule, selecting a fuzzy set with highest membership degree with the input quantity to be processed (temperature change rate and superheater energy storage predicted value), matching in a fuzzy rule list according to the fuzzy set, and determining a corresponding fuzzy quantity grade, wherein the fuzzy quantity grade can reflect the combustion intensity in a hearth.
Further, FIG. 5 is a schematic diagram of another combustion event system based on a superheater energy storage event in accordance with an embodiment of the present application.
Compared with the method for judging the combustion intensity based on the intermediate temperature in the related art, the method provided by the application combines the temperature reduction water data and the temperature deviation data to obtain the energy storage predicted value of the superheater, and then carries out fuzzy judgment according to the energy storage predicted value to obtain the combustion intensity of the current boiler, so that the combustion temperature in the hearth can be effectively identified under the condition of misalignment of the intermediate temperature.
In one embodiment, fig. 6 is a schematic diagram of an internal structure of an electronic device according to an embodiment of the present application, and as shown in fig. 6, an electronic device, which may be a server, is provided, and an internal structure diagram thereof may be as shown in fig. 6. The electronic device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the electronic device is for storing data. The network interface of the electronic device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to implement a combustion intensity identification method based on the superheater energy storage conditions.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the electronic device to which the present inventive arrangements are applied, and that a particular electronic device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be understood by those skilled in the art that the technical features of the above embodiments may be combined in any manner, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as being within the scope of the description provided herein, as long as there is no contradiction between the combinations of the technical features.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims (10)

1. The combustion intensity identification method based on the superheater energy storage condition is characterized by being applied to the identification of the combustion degree of a direct current furnace unit, and comprises the following steps:
obtaining a desuperheater energy storage enthalpy value according to pre-acquired desuperheater data, wherein the desuperheater data comprises: a desuperheater water parameter and desuperheater outlet steam temperature;
obtaining an air temperature deviation energy storage enthalpy value of superheated steam according to the pre-acquired main steam flow and superheater outlet steam data, wherein the superheater outlet steam data comprises: an outlet steam temperature preset value and an outlet steam temperature actual value;
and obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of the air temperature deviation, and performing fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity.
2. The method of claim 1, wherein performing fuzzy determination based on the superheater energy storage prediction value to obtain combustion intensity comprises:
obtaining the inlet steam temperature and the outlet steam temperature of a low-temperature superheater in the direct current furnace unit, and obtaining the average steam temperature according to the inlet steam temperature and the outlet steam temperature of the low-temperature superheater;
performing first-order filtering on the average steam temperature to obtain filtered average steam temperature, and obtaining the temperature change rate of the low-temperature superheater according to the filtered average steam temperature and the average steam temperature;
and carrying out fuzzy judgment according to the temperature change rate and the superheater energy storage predicted value to obtain the combustion intensity.
3. The method of claim 2, wherein determining the combustion intensity based on the temperature change rate and the temperature change rate comprises:
the temperature change rate and the superheater energy storage estimated value are respectively obtained, membership degrees of the superheater energy storage estimated value and each fuzzy set are respectively obtained, and a fuzzy set with the highest membership degree is selected to obtain an optimal input fuzzy set;
acquiring a fuzzy quantity grade corresponding to the optimal input fuzzy set in a preset fuzzy rule list;
and determining combustion intensity corresponding to the temperature change rate and the superheater energy storage estimated value according to the fuzzy quantity grade determination.
4. The method of claim 1, wherein prior to deriving the desuperheated water stored enthalpy value based on a pre-acquired desuperheat water parameter, the method further comprises:
the energy storage condition of the overheating system is divided into temperature-reducing water energy storage and temperature deviation energy storage of overheated steam, wherein,
the superheated steam temperature deviation energy storage represents energy storage corresponding to a deviation value between actual temperature and set temperature of the direct current furnace unit under any working condition when the superheated steam temperature deviation energy storage represents the loss of the adjusting space of the superheated water.
5. The method of claim 1, wherein the superheater energy storage forecast value is obtained by the following formula:
Q=ΔH 1 +ΔH 2
ΔH 1 =k 1 c(t o1 -t s )f 1 ,ΔH 2 =k 2 c(t o2 -t sp )f m
wherein Q is the superheater energy storage predictive value, delta H 1 Is the heat-reducing water energy storage enthalpy value delta H 2 Is the energy storage enthalpy value, k of air temperature deviation 1 、k 2 Is a unit conversion coefficient, c is a specific heat capacity, to1 is the desuperheater outlet steam temperature, t s Is the temperature of the desuperheating water, f1 is the flow rate of the desuperheating water, t o2 Is the actual value of the outlet steam temperature, t sp Is the outlet steam temperature preset value and fm is the steam flow.
6. A method for controlling a direct current furnace unit based on the energy storage condition of a superheater, which is characterized by being applied to combustion control of the direct current furnace unit, the method comprising:
according to the temperature reduction water parameter and the superheater outlet steam data under the current working condition, the method of any one of claims 1-5 is based on obtaining the current combustion condition of the direct current furnace unit;
and supporting the current combustion condition by the data to generate a water supply adjusting signal of the direct current furnace unit.
7. The utility model provides a combustion intensity recognition system based on superheater energy storage condition which characterized in that is applied to the combustion intensity recognition flow of direct current furnace unit, the system includes: the system comprises a superheater energy storage estimating module and a combustion intensity judging module, wherein:
the superheater energy storage estimation module is used for obtaining a desuperheater water energy storage enthalpy value according to desuperheater parameters, wherein the desuperheater water parameters comprise: the temperature reduction water parameter and the temperature of steam at the outlet of the attemperator,
and obtaining an air temperature deviation energy storage enthalpy value according to the superheater outlet steam data, wherein the superheater outlet steam data comprises: the steam flow, the preset value of the outlet steam temperature and the actual value of the outlet steam temperature,
according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of the air temperature deviation, an energy storage estimated value of the superheater is obtained;
and the combustion intensity judging module is used for carrying out fuzzy judgment according to the superheater energy storage predicted value to obtain the combustion intensity.
8. The system of claim 7, wherein the combustion intensity determination module comprises a preprocessing module and a determination module, wherein:
the pretreatment module is used for obtaining a desuperheater energy storage enthalpy value according to pre-acquired desuperheater data, wherein the desuperheater data comprises: the temperature reduction water parameter and the temperature of steam at the outlet of the attemperator,
and obtaining an air temperature deviation energy storage enthalpy value of the superheated steam according to the pre-acquired main steam flow and the superheater outlet steam data, wherein the superheater outlet steam data comprises: an outlet steam temperature preset value and an outlet steam temperature actual value;
the judging module is used for obtaining an energy storage predicted value of the superheater according to the energy storage enthalpy value of the desuperheating water and the energy storage enthalpy value of the air temperature deviation, and carrying out fuzzy judgment according to the energy storage predicted value of the superheater to obtain the combustion intensity.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 6.
CN202311050795.2A 2023-08-17 2023-08-17 Combustion intensity identification method and system based on superheater energy storage condition prediction Pending CN117212770A (en)

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