CN116236889A - Denitration control method, device, storage medium, electronic equipment and system - Google Patents

Denitration control method, device, storage medium, electronic equipment and system Download PDF

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CN116236889A
CN116236889A CN202310215635.2A CN202310215635A CN116236889A CN 116236889 A CN116236889 A CN 116236889A CN 202310215635 A CN202310215635 A CN 202310215635A CN 116236889 A CN116236889 A CN 116236889A
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冀树春
曹培庆
赵勇纲
戈佳
范学明
马占南
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Shenhua Shendong Power Co Ltd
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Abstract

The disclosure relates to a denitration control method, a device, a storage medium, electronic equipment and a system, wherein the method comprises the following steps: acquiring operation data of a denitration system, wherein the operation data comprise flue gas quantity, denitration temperature and opening value of an ammonia injection regulating valve; inputting the operation data into a pre-trained denitration prediction model to obtain a denitration prediction result output by the denitration prediction model, wherein the denitration prediction result comprises a target nitrogen oxide concentration of the next time period corresponding to a denitration outlet of the denitration system; determining a target opening value of the ammonia injection valve according to the target nitrogen oxide concentration; and controlling the ammonia injection regulating valve according to the target opening value so that the denitration system can perform denitration.

Description

Denitration control method, device, storage medium, electronic equipment and system
Technical Field
The disclosure relates to the technical field of denitration control, in particular to a denitration control method, a denitration control device, a storage medium, electronic equipment and a denitration control system.
Background
Nitrogen oxides are one of main emission pollutants of a thermal power plant, and the emission amount of the nitrogen oxides needs to be strictly controlled, so that corresponding control strategies are required to be provided for denitration equipment and corresponding denitration control systems.
At present, a selective catalytic reduction (Selective Catalytic Reduction, SCR) reactor is mostly adopted in the tail gas purifying equipment of the thermal power plant to remove NOx in the flue gas, and the basic principle is that ammonia NH3 is sprayed into the flue gas to react with NOx under the condition of a catalyst. In the actual operation process, the problem that the concentration fluctuation of NOx at the outlet of the SCR reactor is large and the ammonia injection amount is in an excessive state often occurs, so that the air preheater is blocked, and the production efficiency is affected.
Disclosure of Invention
In order to achieve the technical problems in the related art, the present disclosure provides a denitration control method, a device, a storage medium, an electronic apparatus, and a system.
According to a first aspect of an embodiment of the present disclosure, there is provided a denitration control method, including:
acquiring operation data of a denitration system, wherein the operation data comprise flue gas quantity, denitration temperature and opening value of an ammonia injection regulating valve;
inputting the operation data into a pre-trained denitration prediction model to obtain a denitration prediction result output by the denitration prediction model, wherein the denitration prediction result comprises a target nitrogen oxide concentration of the next time period corresponding to a denitration outlet of the denitration system;
determining a target opening value of the ammonia injection valve according to the target nitrogen oxide concentration;
and controlling the ammonia injection regulating valve according to the target opening value so that the denitration system can perform denitration.
Optionally, the denitration prediction model comprises a prediction module, an iteration module and a memory module;
the prediction module is used for predicting the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet according to the operation data;
the iteration module is used for carrying out repeated iteration calculation according to the optimal control algorithm and the target nitrogen oxide concentration predicted by the prediction module so as to obtain a target control quantity;
the memory module is used for storing the historical prediction data of the prediction module and the historical iteration data of the iteration module so as to provide the iteration module with iteration data for the next iteration calculation.
Optionally, the performing iterative calculation according to the optimal control algorithm and the target nox concentration predicted by the prediction module to obtain a target control amount includes:
step response test is carried out according to the initial denitration prediction model, and a transfer function model in a frequency domain form is obtained;
converting the transfer function model in the frequency domain form into a state space model in the time domain form;
the transfer function model has the expression:
y(s)＝G(s)·u(s)
wherein u(s) represents the opening value of the ammonia injection valve, y(s) represents the nitrogen oxide concentration of the denitration outlet, and G(s) represents a transfer function;
the expression of the state space model is as follows:
Figure BDA0004114816530000021
a, B, C is a preset variable matrix affecting the concentration of nitrogen oxides at the denitration outlet, u (t) represents the input quantity of the denitration system at the time t, x (t) represents the state quantity of the denitration system at the time t, and y (t) represents the output quantity of the denitration system at the time t.
Optionally, the target control amount is calculated according to a performance index function of an optimal control algorithm, and an expression of the performance index function of the optimal control algorithm is:
J＝[Δy(t) T RΔy(t)+Δu(t) T SΔu(t)+δΔu(t) T QδΔu(t)]
wherein Q, R, S represents a preset weight matrix of the variable matrix, Δy () represents an output variable of the denitration system at time t, Δu () represents an input variable of the denitration system at time t, and δ represents a preset time variable operator.
Optionally, performing iterative computation according to an optimal control algorithm and the target nox concentration predicted by the prediction module to obtain a target control amount, including:
determining a minimum function of the performance index function;
and calculating the target input variation according to the minimum function.
Optionally, the determining the target opening value of the ammonia injection valve according to the target nitrogen oxide concentration includes:
determining the corresponding relation between the concentration of the nitrogen oxide at the denitration outlet and the opening value of the ammonia injection regulating valve;
and calculating to obtain the target opening value according to the corresponding relation and the target nitrogen oxide concentration.
According to a second aspect of embodiments of the present disclosure, there is provided a denitration control device, including:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring operation data of a denitration system, and the operation data comprise flue gas quantity, denitration temperature and opening value of an ammonia injection regulating valve;
the prediction module is used for inputting the operation data into a pre-trained denitration prediction model to obtain a denitration prediction result output by the denitration prediction model, wherein the denitration prediction result comprises a target nitrogen oxide concentration of the next time period corresponding to a denitration outlet of the denitration system;
the determining module is used for determining a target opening value of the ammonia injection regulating valve according to the target nitrogen oxide concentration;
and the control module is used for controlling the ammonia injection regulating valve according to the target opening value so that the denitration system performs denitration.
According to a third aspect of embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of the first aspects.
According to a fourth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any of the first aspects.
According to a fifth aspect of embodiments of the present disclosure, there is provided a denitration system, including the electronic device of the fourth aspect.
According to the technical scheme, the operation data including the flue gas amount, the denitration temperature and the opening value of the ammonia injection valve of the denitration system are obtained in real time and are input into the pre-trained denitration prediction model, the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet of the denitration system is determined through the denitration prediction model, and then the target opening value of the ammonia injection valve is determined according to the target nitrogen oxide concentration, so that the denitration system can control the ammonia injection valve to perform denitration according to the target opening value. Therefore, the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet can be predicted based on the current operation data obtained in real time, the advanced action of ammonia injection and gate adjustment is realized, the rapidity and the stability of a denitration control system are improved, the problem that the concentration fluctuation of NOx at the outlet of the SCR reactor is large, and the ammonia injection amount is always in an excessive state is solved, so that the air preheater is prevented from being blocked, and the production efficiency is improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
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The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
fig. 1 is a flowchart illustrating a denitration control method according to an exemplary embodiment.
Fig. 2 is a block diagram illustrating a denitration control device according to an exemplary embodiment.
Fig. 3 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
Fig. 1 is a flowchart illustrating a denitration control method according to an exemplary embodiment, including the steps of:
in step S101, operation data of a denitration system is obtained, wherein the operation data includes an exhaust gas amount, a denitration temperature and an opening value of an ammonia injection regulating valve;
in step S102, the operation data is input into a pre-trained denitration prediction model, so as to obtain a denitration prediction result output by the denitration prediction model, where the denitration prediction result includes a target nitrogen oxide concentration of a next time period corresponding to a denitration outlet of the denitration system;
in step S103, determining a target opening value of the ammonia injection valve according to the target nitrogen oxide concentration;
in step S104, the ammonia injection gate is controlled according to the target opening value so that the denitration system performs denitration.
It should be understood that, since the concentration of the nitrogen oxide corresponding to the denitration outlet is related to parameters such as the amount of flue gas, the denitration temperature, and the opening value of the ammonia injection valve, it is possible to predict the concentration of the nitrogen oxide corresponding to the denitration outlet from the operation data including the amount of flue gas, the denitration temperature, and the opening value of the ammonia injection valve, so as to obtain the target concentration of the nitrogen oxide corresponding to the denitration outlet in the next period of time. Of course, the operation data of the denitration system may further include other parameters that affect the concentration of the nitrogen oxides corresponding to the denitration outlet in the denitration process, which is not limited in the embodiment of the disclosure. The operation data of the denitration system may be directly obtained from the denitration system, or a corresponding sensor may be set for obtaining the operation data, so that the operation data of the denitration system may be obtained through the set sensor, which is not limited in the embodiment of the present disclosure.
It should also be appreciated that the next time period corresponding to the denitration outlet may be computationally determined by the time of completion of the operation data, the determination of the target nitrogen oxide, the determination of the target opening value, the control time of the denitration system, and the like.
According to the technical scheme, the operation data including the flue gas amount, the denitration temperature and the opening value of the ammonia injection valve of the denitration system are obtained in real time and are input into the pre-trained denitration prediction model, the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet of the denitration system is determined through the denitration prediction model, and then the target opening value of the ammonia injection valve is determined according to the target nitrogen oxide concentration, so that the denitration system can control the ammonia injection valve to perform denitration according to the target opening value. Therefore, the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet can be predicted based on the current operation data obtained in real time, the advanced action of ammonia injection and gate adjustment is realized, the rapidity and the stability of a denitration control system are improved, the problem that the concentration fluctuation of NOx at the outlet of the SCR reactor is large, and the ammonia injection amount is always in an excessive state is solved, so that the air preheater is prevented from being blocked, and the production efficiency is improved.
In a possible manner, the denitration prediction model comprises a prediction module, an iteration module and a memory module;
the prediction module is used for predicting the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet according to the operation data;
the iteration module is used for carrying out repeated iteration calculation according to the optimal control algorithm and the target nitrogen oxide concentration predicted by the prediction module so as to obtain a target control quantity;
the memory module is used for storing the historical prediction data of the prediction module and the historical iteration data of the iteration module so as to provide the iteration module with iteration data for the next iteration calculation.
It should be understood that the training process of the denitration prediction model includes multiple iterative training, each training is performed according to the predicted value obtained by the previous iterative training (i.e., the target nitrogen oxide concentration in the next time period corresponding to the denitration outlet), and the iterative module is used for performing multiple iterative calculations according to the optimal control algorithm and the predicted value output by the prediction module, and the predicted value of the prediction module of the denitration prediction model is further close to the true value through multiple iterative calculations. The memory module is used for storing data information including the historical prediction data of the prediction module and the historical iteration data of the iteration module so as to provide the iteration module with iteration data for the next iteration calculation.
The target control quantity refers to the target concentration of the nitrogen oxide output by the current denitration port, so that the obtained target concentration of the nitrogen oxide is fed back to the control system, and the target opening value of the ammonia injection valve corresponding to the target concentration is obtained through calculation according to the target concentration of the nitrogen oxide.
In a possible manner, the iterative calculation is performed according to the optimal control algorithm and the target nox concentration predicted by the prediction module, so as to obtain the target control amount, which may be:
step response test is carried out according to the initial denitration prediction model, and a transfer function model in a frequency domain form is obtained;
converting the transfer function model in the frequency domain form into a state space model in the time domain form;
the transfer function model has the expression:
y(s)＝G(s)·u(s)
wherein u(s) represents the opening value of the ammonia injection valve, namely the input quantity, y(s) represents the concentration of nitrogen oxides at the denitration outlet, namely the output quantity, and G(s) represents the transfer function.
The expression of the state space model is:
Figure BDA0004114816530000071
wherein A, B, C is a preset variable matrix affecting the concentration of nitrogen oxides at the denitration outlet, u (t) represents the input quantity of the denitration system at the time t, x (t) represents the state quantity of the denitration system at the time t, and y (t) represents the output quantity of the denitration system at the time t.
It should be understood that in this system consisting of the opening value of the ammonia injection valve and the concentration of nitrogen oxides at the denitration outlet, since the input and output are measurable and known, and the transfer function of the system is unknown, the transfer function of the system can be determined by introducing the known input and studying the experimental method of the output of the system, that is, the step response test is performed according to the initial denitration prediction model, so as to describe the dynamic characteristics of this system consisting of the opening value of the ammonia injection valve and the concentration of nitrogen oxides at the denitration outlet.
For example, the matrix A, B, C may be an amount of flue gas, a denitration temperature, and an opening value of an ammonia injection throttle. At time t, the output of the denitration system is obtained based on the input quantity at time t, and at time t+1, the state of the denitration system is different at each time during the operation of the denitration system, so the state quantity of the denitration system is obtained based on the input quantity at time t and the state quantity. The denitration outlet nitrogen oxide concentration is predicted based on a denitration system, and can be specifically expressed as:
Figure BDA0004114816530000081
it can be noted that:
Figure BDA0004114816530000082
i.e.
Figure BDA0004114816530000083
Where N denotes the prediction time domain.
In a possible manner, the target control amount is calculated according to a performance index function of an optimal control algorithm, and an expression of the performance index function of the optimal control algorithm is:
J＝[Δy(t) T RΔy(t)+Δu(t) T SΔu(t)+δΔu(t) T QδΔu(t)]
wherein Q, R, S represents a weight matrix of a preset variable matrix, Δy (t) represents an output variable quantity of the denitration system at a time t, Δu (t) represents an input variable quantity of the denitration system at the time t, and δ represents a preset time variable quantity operator.
For example, since factors such as the flue gas amount, the denitration temperature, and the opening value of the ammonia injection valve have different degrees of influence on the concentration of nitrogen oxides at the denitration port during the operation of the denitration system, a weight may be added to each influence factor to adjust the degree of influence of each influence factor on the concentration of nitrogen oxides at the denitration port. That is, the weight matrix Q, R, S may correspond to a preset variable matrix A, B, C, and the influence degree of each factor in the variable matrix A, B, C on the nox concentration of the denitration port is adjusted by the weight matrix Q, R, S.
In a possible manner, the iterative calculation is performed according to the optimal control algorithm and the target nox concentration predicted by the prediction module, so as to obtain the target control amount, which may be:
determining the minimum function of the performance index function;
and calculating the target input variation according to the minimum function.
Illustratively, minimizing the performance index function may be:
J＝min[Δy(t) T RΔy(t)+Δu(t) T SΔu(t)+δΔu(t) T QδΔu(t)]
the target input variation can then be calculated according to the following calculation:
Δu(t)＝(E T RE+S+Q) -1 E T R(Δy(t)-Dx(t)-Qδu(t))
after the target input variable quantity delta u (t) at the time t is calculated, a target control quantity can be calculated according to the target input variable quantity delta u (t), a target opening value of a target ammonia injection valve corresponding to the target concentration is calculated according to the target control quantity (namely, the target concentration of nitrogen oxides output by the current denitration port), and then the ammonia injection valve is controlled to perform denitration according to the target opening value. Meanwhile, in the process, the memory module stores information such as input quantity, output quantity, input variation quantity, state variation quantity and the like of the out-of-stock system at the moment t so as to provide historical data information for the next round of iterative computation.
In a possible manner, determining the target opening value of the ammonia injection valve according to the target nitrogen oxide concentration may be:
determining the corresponding relation between the concentration of nitrogen oxides at the denitration outlet and the opening value of the ammonia injection regulating valve;
and calculating to obtain a target opening value according to the corresponding relation and the target nitrogen oxide concentration.
For example, because the basic principle of selective catalysis is that ammonia gas NH3 is injected into flue gas to react with NOx under the condition of a catalyst, we can store the correspondence between the concentration of nitrogen oxide at a denitration outlet and the opening value of an ammonia injection valve in advance, and calculate the target opening value based on the detectable target nitrogen oxide concentration according to a preset correspondence or a calculation method after determining the target nitrogen oxide concentration. The correspondence relation or calculation method of the nitrogen oxide concentration of the denitration outlet and the opening value of the ammonia injection valve in the embodiment of the disclosure is not particularly limited.
According to the technical scheme, the operation data including the flue gas amount, the denitration temperature and the opening value of the ammonia injection valve of the denitration system are obtained in real time and are input into the pre-trained denitration prediction model, the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet of the denitration system is determined through the denitration prediction model, and then the target opening value of the ammonia injection valve is determined according to the target nitrogen oxide concentration, so that the denitration system can control the ammonia injection valve to perform denitration according to the target opening value. Therefore, the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet can be predicted based on the current operation data obtained in real time, the advanced action of ammonia injection and gate adjustment is realized, the rapidity and the stability of a denitration control system are improved, the problem that the concentration fluctuation of NOx at the outlet of the SCR reactor is large, and the ammonia injection amount is always in an excessive state is solved, so that the air preheater is prevented from being blocked, and the production efficiency is improved. Further, the denitration prediction model is obtained by performing iterative computation for a plurality of times according to the optimal control algorithm and the prediction value output by the prediction module, and the prediction value of the prediction module of the denitration prediction model is further close to the true value through the iterative computation for a plurality of times, so that the accuracy of the target nitrogen oxide concentration of the next time period corresponding to the predicted denitration outlet is improved, and the accuracy of a denitration control system is further improved.
By way of example, by applying the above technical solution to a denitration control system of a certain power plant, the control system parameter setting results are shown in table 1. The unit is in the variable load stage 401MW-516MW-365MW, and the operation curve when the desulfurization outlet set value is changed simultaneously, according to the operation curve of about 2 hours, the change of the A, B side inlet concentration is stable, the desulfurization outlet set value is changed from 40mg/Nm3 to 45mg/Nm3 and 40mg/Nm3 respectively, the desulfurization outlet NOx concentration control is stable, the maximum positive deviation is +2.5mg/Nm3, the maximum negative deviation is-3.9 mg/Nm3, the control index is +/-5 mg/Nm3, and the operation quality of the denitration control system is remarkably improved.
TABLE 1
Parameters (parameters) Setting value
Iterative time domain N 80
Control weight matrix Q 50I
Control weight matrix R 20I
Control weight matrix S 5I
Wherein I represents an identity matrix.
Fig. 2 is a block diagram illustrating a denitration control device according to an exemplary embodiment. Referring to fig. 2, the denitration control device 200 includes an acquisition module 201, a prediction module 202, a determination module 203, and a control module 204.
An obtaining module 201, configured to obtain operation data of a denitration system, where the operation data includes an amount of flue gas, a denitration temperature, and an opening value of an ammonia injection gate;
the prediction module 202 is configured to input the operation data into a pre-trained denitration prediction model, and obtain a denitration prediction result output by the denitration prediction model, where the denitration prediction result includes a target nitrogen oxide concentration of a next time period corresponding to a denitration outlet of the denitration system;
a determining module 203, configured to determine a target opening value of the ammonia injection valve according to the target nitrogen oxide concentration;
and the control module 204 is used for controlling the ammonia injection valve according to the target opening value so that the denitration system performs denitration.
Optionally, the denitration prediction model comprises a prediction module, an iteration module and a memory module;
the prediction module is used for predicting the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet according to the operation data;
the iteration module is used for carrying out repeated iteration calculation according to the optimal control algorithm and the target nitrogen oxide concentration predicted by the prediction module so as to obtain a target control quantity;
the memory module is used for storing the historical prediction data of the prediction module and the historical iteration data of the iteration module so as to provide the iteration module with iteration data for the next iteration calculation.
Optionally, the performing iterative calculation according to the optimal control algorithm and the target nox concentration predicted by the prediction module to obtain a target control amount includes:
step response test is carried out according to the initial denitration prediction model, and a transfer function model in a frequency domain form is obtained;
converting the transfer function model in the frequency domain form into a state space model in the time domain form;
the transfer function model has the expression:
y(s)＝G(s)·u(s)
wherein u(s) represents the opening value of the ammonia injection valve, y(s) represents the nitrogen oxide concentration of the denitration outlet, and G(s) represents a transfer function;
the expression of the state space model is as follows:
Figure BDA0004114816530000121
a, B, C is a preset variable matrix affecting the concentration of nitrogen oxides at the denitration outlet, u (t) represents the input quantity of the denitration system at the time t, x (t) represents the state quantity of the denitration system at the time t, and y (t) represents the output quantity of the denitration system at the time t.
Optionally, the target control amount is calculated according to a performance index function of an optimal control algorithm, and an expression of the performance index function of the optimal control algorithm is:
J＝[Δy(t) T RΔy(t)+Δu(t) T SΔu(t)+δΔu(t) T QδΔu(t)]
wherein Q, R, S represents a preset weight matrix of the variable matrix, Δy (t) represents an output variable quantity of the denitration system at a time t, Δu (t) represents an input variable quantity of the denitration system at the time t, and δ represents a preset time variable quantity operator.
Optionally, performing iterative computation according to an optimal control algorithm and the target nox concentration predicted by the prediction module to obtain a target control amount, including:
determining a minimum function of the performance index function;
and calculating the target input variation according to the minimum function.
Optionally, the determining module 203 is configured to:
determining the corresponding relation between the concentration of the nitrogen oxide at the denitration outlet and the opening value of the ammonia injection regulating valve;
and calculating to obtain the target opening value according to the corresponding relation and the target nitrogen oxide concentration.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 3 is a block diagram of an electronic device, according to an example embodiment. As shown in fig. 3, the electronic device 300 may include: a processor 301, a memory 302. The electronic device 300 may also include one or more of a multimedia component 303, an input/output (I/O) interface 304, and a communication component 305.
The processor 301 is configured to control the overall operation of the electronic device 300 to perform all or part of the above-mentioned denitration control method. The memory 302 is used to store various types of data to support operation at the electronic device 300, which may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and the like. The Memory 302 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 303 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 302 or transmitted through the communication component 305. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 304 provides an interface between the processor 301 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 305 is used for wired or wireless communication between the electronic device 300 and other electronic devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 305 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 300 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processor (Digital Signal Processor, abbreviated as DSP), digital signal processing device (Digital Signal Processing Device, abbreviated as DSPD), programmable logic device (Programmable Logic Device, abbreviated as PLD), field programmable gate array (Field Programmable Gate Array, abbreviated as FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the above described denitration control method.
In another exemplary embodiment, a computer readable medium comprising program instructions which, when executed by a processor, implement the steps of the above described denitration control method is also provided. For example, the computer readable medium may be the memory 302 including program instructions described above, which are executable by the processor 301 of the electronic device 300 to perform the denitration control method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above described denitration control method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the foregoing embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, the present disclosure does not further describe various possible combinations.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.

Claims (10)

1. A denitration control method, characterized by comprising:
acquiring operation data of a denitration system, wherein the operation data comprise flue gas quantity, denitration temperature and opening value of an ammonia injection regulating valve;
inputting the operation data into a pre-trained denitration prediction model to obtain a denitration prediction result output by the denitration prediction model, wherein the denitration prediction result comprises a target nitrogen oxide concentration of the next time period corresponding to a denitration outlet of the denitration system;
determining a target opening value of the ammonia injection valve according to the target nitrogen oxide concentration;
and controlling the ammonia injection regulating valve according to the target opening value so that the denitration system can perform denitration.
2. The method of claim 1, wherein the denitration prediction model comprises a prediction module, an iteration module, and a memory module;
the prediction module is used for predicting the target nitrogen oxide concentration of the next time period corresponding to the denitration outlet according to the operation data;
the iteration module is used for carrying out repeated iteration calculation according to the optimal control algorithm and the target nitrogen oxide concentration predicted by the prediction module so as to obtain a target control quantity;
the memory module is used for storing the historical prediction data of the prediction module and the historical iteration data of the iteration module so as to provide the iteration module with iteration data for the next iteration calculation.
3. The method according to claim 2, wherein the iteratively calculating the target nox concentration predicted by the prediction module based on the optimal control algorithm to obtain the target control amount comprises:
step response test is carried out according to the initial denitration prediction model, and a transfer function model in a frequency domain form is obtained;
converting the transfer function model in the frequency domain form into a state space model in the time domain form;
the transfer function model has the expression:
y(s)＝G(s)·u(s)
wherein u(s) represents the opening value of the ammonia injection valve, y(s) represents the nitrogen oxide concentration of the denitration outlet, and G(s) represents a transfer function;
the expression of the state space model is as follows:
Figure FDA0004114816520000021
a, B, C is a preset variable matrix affecting the concentration of nitrogen oxides at the denitration outlet, u (t) represents the input quantity of the denitration system at the time t, x (t) represents the state quantity of the denitration system at the time t, and y (t) represents the output quantity of the denitration system at the time t.
4. A method according to claim 3, wherein the target control amount is calculated from a performance index function of an optimal control algorithm, and the performance index function of the optimal control algorithm has an expression of:
J＝[Δy(t) T RΔy(t)+Δu(t) T SΔu(t)+δΔu(t) T QδΔu(t)]
wherein Q, R, S represents a preset weight matrix of the variable matrix, Δy (t) represents an output variable quantity of the denitration system at a time t, Δu (t) represents an input variable quantity of the denitration system at the time t, and δ represents a preset time variable quantity operator.
5. The method of claim 4, wherein iteratively calculating a target control quantity based on an optimal control algorithm and the target nox concentration predicted by the prediction module comprises:
determining a minimum function of the performance index function;
and calculating the target input variation according to the minimum function.
6. The method of claim 1, wherein the determining the target opening value of the ammonia injection valve based on the target nox concentration comprises:
determining the corresponding relation between the concentration of the nitrogen oxide at the denitration outlet and the opening value of the ammonia injection regulating valve;
and calculating to obtain the target opening value according to the corresponding relation and the target nitrogen oxide concentration.
7. A denitration control device, characterized by comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring operation data of a denitration system, and the operation data comprise flue gas quantity, denitration temperature and opening value of an ammonia injection regulating valve;
the prediction module is used for inputting the operation data into a pre-trained denitration prediction model to obtain a denitration prediction result output by the denitration prediction model, wherein the denitration prediction result comprises a target nitrogen oxide concentration of the next time period corresponding to a denitration outlet of the denitration system;
the determining module is used for determining a target opening value of the ammonia injection regulating valve according to the target nitrogen oxide concentration;
and the control module is used for controlling the ammonia injection regulating valve according to the target opening value so that the denitration system performs denitration.
8. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 1-6.
9. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-6.
10. A denitration system comprising the electronic device of claim 9.
CN202310215635.2A 2023-03-07 2023-03-07 Denitration control method, device, storage medium, electronic equipment and system Pending CN116236889A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116880172A (en) * 2023-06-29 2023-10-13 华能国际电力股份有限公司上海石洞口第二电厂 Low-load denitration ammonia injection optimization control method and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116880172A (en) * 2023-06-29 2023-10-13 华能国际电力股份有限公司上海石洞口第二电厂 Low-load denitration ammonia injection optimization control method and system

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