CN108628177A - A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID - Google Patents

A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID Download PDF

Info

Publication number
CN108628177A
CN108628177A CN201810710315.3A CN201810710315A CN108628177A CN 108628177 A CN108628177 A CN 108628177A CN 201810710315 A CN201810710315 A CN 201810710315A CN 108628177 A CN108628177 A CN 108628177A
Authority
CN
China
Prior art keywords
spraying amount
ammonia
nitrogen oxides
ammonia spraying
scr denitration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810710315.3A
Other languages
Chinese (zh)
Inventor
孟磊
谷小兵
李广林
江澄宇
李叶红
马务
宁翔
贾英韬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Datang Environment Industry Group Co Ltd
Original Assignee
Datang Environment Industry Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Datang Environment Industry Group Co Ltd filed Critical Datang Environment Industry Group Co Ltd
Priority to CN201810710315.3A priority Critical patent/CN108628177A/en
Publication of CN108628177A publication Critical patent/CN108628177A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor

Abstract

The invention discloses a kind of, and the SCR denitration based on model adaptation PID intelligently sprays ammonia optimization method and system.This method is:1) operation data based on fossil-fired unit combustion system establishes inlet nitrogen oxides concentration model;Using the model and the operation data currently acquired, the predicted value of inlet nitrogen oxides concentration is obtained;2) SCR denitration system is sent to as feed-forward signal according to ammonia spraying amount under predictor calculation current working;3) measured value for exporting nitrous oxides concentration and setting value are done into input adaptive PID controller after deviation, obtains ammonia spraying amount feedback control signal and is sent to SCR denitration system;4) SCR denitration system controls the ammonia spraying amount of SCR denitration reactor according to the ammonia spraying amount feed-forward signal and ammonia spraying amount feedback control signal.The advantages that this system has the speed of response high, and investment is smaller, transformation short time limit, and can ensure to discharge in variable working condition stably reaching standard.

Description

A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID
Technical field
The invention belongs to the out of stock technical fields of thermoelectricity, and it is excellent to be related to a kind of SCR (selective catalytic reduction) denitration intelligence spray ammonia Change method and system more particularly to a kind of intelligently spray ammonia is excellent based on matrix form measuring instrumentss and the SCR denitration of model adaptation PID Change method and system.
Background technology
Currently, in order to realize that nitrogen oxides minimum discharge, most of coal fired thermal power plant are assembled with SCR denitration device, adopt With CEMS systems (smoke on-line monitoring system) acquisition entrance, outlet nitrous oxides concentration, PID (ratios-product are then carried out again Point-differential) feedback control.
PID/feedback controls as shown in Figure 1, ammonia flow calculated value is (inlet nitrogen oxides concentration measurement-outlet nitrogen oxidation Object concentration measurement) × exhaust gas volumn × ammonia nitrogen molar ratio, wherein ammonia nitrogen molar ratio is essentially fixed value, and inlet nitrogen oxides are dense Degree, exports nitrous oxides concentration, and exhaust gas volumn is obtained by instrument measurement.
There are following problems for said program:
1. entrance, outlet nitrous oxides concentration use CEMS systematic surveys, CEMS systematic sampling pipelines are long, cause to survey Measure it is pure delay it is larger, measured value have 2-3 minutes postpone;
2. existing CEMS systems use single-point sampling and measuring, therefore it is average dense to cause measurement data that cannot represent whole cross section Degree;
3. using PID control, pid parameter just no longer changes after initial setting is good, so in unit load operating condition When variation, denitrating system adjusts not in time, is susceptible to discharge beyond standards;
4. in order to ensure qualified discharge, the setting value of pid parameter is set to very low by power plant operations staff, causes to spray ammonia Measure excessive, control system overshoot is larger, and the system speed of response is relatively low.Reducing agent is not only wasted, it is stifled to also add follow-up equipment The risk of plug.
Therefore, a kind of SCR intelligent optimizations spray ammonia system is developed, realizes that precisely spray ammonia is for SCR denitration device safety economy Operation is of great significance.
Invention content
For the technical problems in the prior art, the purpose of the present invention is to provide one kind being based on model adaptation The SCR denitration of PID intelligently sprays ammonia optimization method and system.
A kind of SCR denitration intelligence spray ammonia optimization method based on model adaptation PID, step include:
1) operation data based on fossil-fired unit combustion system establishes inlet nitrogen oxides concentration model;Then sharp With the inlet nitrogen oxides concentration model and the operation data currently acquired, the predicted value of inlet nitrogen oxides concentration is obtained;
2) according under the current operating condition of inlet nitrogen oxides concentration prediction value calculating, ammonia spraying amount is as feed-forward signal, by this Ammonia spraying amount feed-forward signal is sent to SCR denitration system;
3) measured value for measuring the outlet nitrous oxides concentration of fossil-fired unit combustion system, by the measured value and outlet Nitrous oxides concentration setting value does input adaptive PID controller after deviation, and self-adaptive PID controller is sprayed based on the deviation Ammonia amount feedback control signal is simultaneously sent to SCR denitration system;
4) SCR denitration system is according to the ammonia spraying amount feed-forward signal and the control SCR denitration reaction of ammonia spraying amount feedback control signal The ammonia spraying amount of device.
Further, the operation data is divided by pivot analysis algorithm, is determined and inlet nitrogen oxides It is associated with close parameter;Then it will determine to be associated with close parameter with inlet nitrogen oxides as training data, using depth Learning algorithm or least square method supporting vector machine algorithm are spent, inlet nitrogen oxides concentration model is established.
Further, the operation data includes unit load, primary air flow, secondary air flow, total coal amount, coal pulverizer operation Number of units.
Further, the method for obtaining the ammonia spraying amount feed-forward signal is:The predicted value is multiplied by exhaust gas volumn, then again It is multiplied by ammonia nitrogen molar ratio computing and calculates ammonia amount demand, the ammonia spraying amount feed-forward signal as SCR denitration system.
Further, the self-adaptive PID controller Dynamic Identification SCR sprays ammonia system model, is changed according to model adaptive Pid parameter should be adjusted;Genetic algorithm may be used in self-adaptive PID controller parameter or PSO algorithm optimizations obtain.Further , the measured value of the outlet nitrous oxides concentration is measured using multiple spot matrix form measuring instrumentss.
A kind of SCR denitration intelligence spray ammonia optimization system based on model adaptation PID, which is characterized in that including ammonia spraying amount Feed-forward signal generates unit, self-adaptive PID controller and SCR denitration system;Wherein,
The ammonia spraying amount feed-forward signal generates unit, connects coal fired power generating unit combustion system operation data sensor, is based on The operation data of fossil-fired unit combustion system operation data sensor acquisition, establishes inlet nitrogen oxides concentration model;And Using the inlet nitrogen oxides concentration model and the operation data currently acquired, the predicted value of inlet nitrogen oxides concentration is obtained, Then the ammonia spraying amount feed-forward signal under current operating condition is calculated according to inlet nitrogen oxides concentration prediction value;
The self-adaptive PID controller, connection outlet nitrous oxides concentration measuring instrumentss, for according to fossil-fired unit It is anti-that the measured value of the outlet nitrous oxides concentration of combustion system and the deviation for exporting nitrous oxides concentration setting value obtain ammonia spraying amount Feedforward control signal;
The SCR denitration system is separately connected the ammonia spraying amount feed-forward signal and generates unit and the Adaptive PID Control Device is to receive the ammonia spraying amount feed-forward signal and ammonia spraying amount feedback control signal, for according to the ammonia spraying amount feed-forward signal and spray ammonia Measure the ammonia spraying amount of feedback control signal control SCR denitration reactor.
The present invention acquires the data such as fossil-fired unit combustion system First air, Secondary Air, load first, is then based on and adopts Collection data establish inlet nitrogen oxides concentration model, are then obtained according to current gathered data and inlet nitrogen oxides concentration model Then inlet nitrogen oxides concentration prediction value calculates ammonia spraying amount under current operating condition according to inlet nitrogen oxides concentration prediction value Feedforward is added to nitrous oxides concentration feedback control loop by feedforward, realizes precisely spray ammonia.
Inlet nitrogen oxides concentration prediction method:
According to boiler operatiopn data, initial option unit load, primary air flow, secondary air flow, total coal amount, coal pulverizer operation Number of units parameter and corresponding inlet nitrogen oxides concentration, first analyze selected parameter by pivot analysis algorithm, determine Go out and be associated with close parameter with inlet nitrogen oxides, that is, determines major parameter and minor parameter.Then, it will determine and enter Mouth nitrogen oxides is associated with close parameter as training data, is calculated using deep learning algorithm or least square method supporting vector machine Method establishes inlet nitrogen oxides concentration model, to utilize the inlet nitrogen oxides concentration model realization to inlet nitrogen oxides The prediction of concentration.Wherein, be associated with inlet nitrogen oxides close parameter include total blast volume, total coal amount, coal-air ratio, First air with Secondary Air ratio.
Then, SCR is established based on operation data and sprays ammonia system model, it is adaptive to adjust when detecting operating condition variation Pid parameter, to realize optimal control.
SCR spray ammonia system models are the denitration moulds established according to inlet nitrogen oxides concentration and outlet nitrous oxides concentration Type is combined foundation based on mechanism with data, and data are inlet nitrogen oxides concentration and outlet nitrous oxides concentration parameter.It is based on The best PID controls under current working can be obtained using genetic algorithm or PSO optimization algorithms in current spray ammonia system model parameter Parameter processed.In actual operation, the continuous on-line identification SCR of system sprays ammonia model, when monitoring that model variation is bigger, Pid parameter is recalculated, to realize that pid parameter adaptively adjusts, remains preferable control parameter.
The present invention can also obtain the system performance parameter of typical condition by on-the-spot test.Then, according to different typical works Condition determines several groups of PID controller parameters.In actual operation, operating condition is detected automatically, is then determined and is used current working pair The more excellent pid parameter answered, i.e., switch over according to operating condition difference, realizes segmentation PID.
Entrance of the present invention, outlet nitrous oxides concentration are measured using matrix form CEMS measuring instrumentss, can be measured dense The average value of degree.
To sum up, innovation of the invention is:
(1) it is directed to nitrogen oxides and measures and postpone big problem, the present invention proposes the scheme using hard measurement.Hard measurement is By establishing the model of the data such as boiler operating parameter, such as First air, Secondary Air, load and nitrous oxides concentration, pass through meter The mode of calculation obtains the value of nitrous oxides concentration, so as to avoid the delay of practical measuring instrumentss, is controlled in advance to realize.
(2) it is directed to existing instrument single-point sampling and measuring, measurement result does not have representative problem, it is proposed that uses matrix Formula measuring instrumentss, matrix form measurement are then remixed by multidraw, measurement result energy reaction density average value.
(3) it is directed to the problem of control algolithm control characteristic difference, it is proposed that the control that feedback is combined is added using Intelligent Feed-forward Scheme, Intelligent Feed-forward are mainly to be calculated by the nitrous oxides concentration predicted.Controller is mainly improved in terms of feedback.
It can realize through the invention:
1. denitration outlet nitrous oxides concentration deviation can be controlled in 5~10mg/Nm3Between, it is ensured that in variable working condition In the case of stably reaching standard discharge.
2. the system speed of response of denitration control system is high, investment is smaller, and short time limit is transformed.
Description of the drawings
Fig. 1 is existing system control flow chart;
Fig. 2 is the control flow chart of the present invention;
Fig. 3 is present system control platform Organization Chart.
Specific implementation mode
The present invention is described in detail below with reference to the accompanying drawings and embodiments.
This programme mainly proposes a kind of denitration that inlet nitrogen oxides concentration soft-sensing is combined with operating mode self-adaptive PID Optimal control method flow.
The present invention acquires the data such as fossil-fired unit combustion system First air, Secondary Air, load and joins with these first The corresponding inlet nitrogen oxides concentration of number, establishes inlet nitrogen oxides concentration model.
As shown in Fig. 2, based on parameters such as boiler primary air flow, secondary air flow, coal-supplying amount, pulverized coal preparation system operation number of units, root According to above-mentioned inlet nitrogen oxides concentration model, obtain inlet nitrogen oxides concentration prediction value, multiplied by with exhaust gas volumn, then multiplied by with Ammonia nitrogen molar ratio computing calculates ammonia amount demand, and as SCR denitration system feed-forward signal, feed-forward signal can ensure load variations When, it can quickly adjust ammonia spraying amount.
In order to accurately measure nitrous oxides concentration, using multiple spot matrix form measuring instrumentss.Multiple spot matrix form measuring instrumentss are By extracting the flue gas in 3-5 section in flue, is then mixed, outlet nitrogen oxides is obtained into CEMS measurements after mixing Concentration measured value.The data accuracy that this method measures is higher.After outlet nitrous oxides concentration setting and measured value do deviation Into self-adaptive PID controller, as ammonia spraying amount feedback control signal.Self-adaptive PID controller parameter sprays ammonia system according to SCR Model adaptation adjusts.
Wherein, " exhaust gas volumn " refers to the boiler smoke tolerance actually measured, and unit is NM3/h." ammonia nitrogen molar ratio " refers to taking off The ratio of ammonia and nitrous oxides concentration in nitre is Common Concepts in denitration, generally 0.7-0.9." ammonia amount demand " Calculation formula is:Ammonia demand=inlet nitrogen oxides × exhaust gas volumn × ammonia nitrogen molar ratio.
It in order to ensure that the algorithm can be applied at the scene, and maintains secrecy to control algolithm, the implementation of this programme is based on taking off Nitre optimal control platform is realized.The core of the platform is a high performance optimal controller, by data collecting card part from DCS System, which obtains, calculates required parameter, after calculating, returns again to former DCS system, realizes closed-loop control.Controller and original DCS systems System communication can carry out two-way communication using communication modes such as modbus, RS485 with domestic mainstream DCS system.Denitration optimization control No-harass switch may be implemented with DCS field controllers in device processed.Control platform is as shown in figure 3, include mainly being in optimal controller Communication module of uniting and core algorithm computing module, system communication module are mainly responsible for realization and carry out data input, output with DCS. Core algorithm module mainly realizes system optimizing control.When system operation, operation number is acquired by system communication module first According to being then input to core algorithm module, core algorithm module is output to DCS system again, to realize closed-loop control.
Table 1 is the comparison using the method for the present invention and existing method in actual operation, be can be seen that from these comparisons Using the method for the present invention, the accurate spray ammonia of SCR denitration device may be implemented, improve running efficiency of system, reduce cost.
Table 1 is actual motion Contrast on effect
Dynamic operation condition operational effect comparative analysis
Operational effect before 1 transformation
【1】Unit load up operating mode
Reactor outlet NO under variable working conditionxThe dynamic characteristic of content is that investigation denitrating system automatic control effect is most important One of part.Reactor outlet NO during this partial analysis load upxThe dynamic characteristic of content.
During load is nearby risen to 395MW by 365MW nearby, denitrating system first, second side reaction device exports NOxContent Statistical analysis such as table 2.
Table 2 is that 365MW rises to 395MW load section denitration performance data
【2】Unit load down operating mode
It is reactor outlet NO during load down belowxThe analysis of the dynamic characteristic of content.
During load is nearby down to 330MW by 500MW nearby, denitrating system first, second side reaction device exports NOxContent Statistical analysis such as table 3.
Table 3 is that 500MW is down to 330MW load section denitration performance data
Operational effect after 2 transformations
【1】Unit load up operating mode
Operational process when rising to 500MW from 400MW below for unit load can open generally in this load up section Move a coal pulverizer.To reactor inlet NO during the start and stop of millxThe temporary influence of content is very big, reactor outlet NOxContent is super Mark is also affected by this mostly.
During load rises to 500MW by 400MW, denitrating system first, second side reaction device exports NOxThe statistical analysis of content Such as table 4.
Table 4 is that load rises to 500MW traffic coverage denitration performance data by 400MW
Load rises to 600MW traffic coverages by 550MW, and denitrating system first, second side reaction device exports NOxThe statistical of content Analysis such as table 5.
Table 5 is that load rises to 600MW traffic coverage denitration performance data by 550MW
【2】Unit load down operating mode
This part will in the same way analyze the performance of Benitration reactor during load down.
Load is down to 550MW traffic coverages by 600MW, and denitrating system first, second side reaction device exports NOxThe statistical of content Analysis such as table 6.
Table 6 is that load is down to 550MW traffic coverage denitration performance data by 600MW
Load is down to 500MW traffic coverages by 550MW, and denitrating system first, second side reaction device exports NOxContent statistical analysis Such as table 7.
Table 7 is that load is down to 500MW traffic coverage denitration performance data by 550MW
Load is down to 400MW traffic coverages by 500MW, and denitrating system first, second side reaction device exports NOxContent statistical analysis Such as table 8.
Table 8 is that load is down to 400MW traffic coverage denitration performance data by 500MW
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, and those skilled in the art answers It is understood that any modification made by all within the spirits and principles of the present invention, equivalent replacement or improvement etc., should be included in this Within the protection domain of invention, protection domain is subject to those as defined in claim.

Claims (10)

1. intelligently spray ammonia optimization method, step include a kind of SCR denitration based on model adaptation PID:
1) operation data based on fossil-fired unit combustion system establishes inlet nitrogen oxides concentration model;Then utilizing should Inlet nitrogen oxides concentration model and the operation data currently acquired, obtain the predicted value of inlet nitrogen oxides concentration;
2) according under the current operating condition of inlet nitrogen oxides concentration prediction value calculating, ammonia spraying amount is as feed-forward signal, by the spray ammonia Amount feed-forward signal is sent to SCR denitration system;
3) measured value for measuring the outlet nitrous oxides concentration of fossil-fired unit combustion system, by the measured value and outlet nitrogen oxygen Compound concentration set point does input adaptive PID controller after deviation, and self-adaptive PID controller obtains ammonia spraying amount based on the deviation Feedback control signal is simultaneously sent to SCR denitration system;PID controller parameter is according to current combustion system and SCR denitration system Actual operating mode is adaptively adjusted;
4) SCR denitration system controls SCR denitration reactor according to the ammonia spraying amount feed-forward signal and ammonia spraying amount feedback control signal Ammonia spraying amount.
2. the method as described in claim 1, which is characterized in that drawn to the operation data by pivot analysis algorithm Point, it determines to be associated with close parameter with inlet nitrogen oxides;Then it will determine to be associated with inlet nitrogen oxides closely Parameter establishes inlet nitrogen oxides as training data using deep learning algorithm or least square method supporting vector machine algorithm Concentration model.
3. method as claimed in claim 1 or 2, which is characterized in that the operation data include unit load, primary air flow, Secondary air flow, total coal amount, coal pulverizer run number of units.
4. the method as described in claim 1, which is characterized in that the method for obtaining the ammonia spraying amount feed-forward signal is:It will be described Predicted value is multiplied by exhaust gas volumn, then ammonia amount demand is calculated multiplied by with ammonia nitrogen molar ratio computing, described in SCR denitration system Ammonia spraying amount feed-forward signal.
5. the method as described in claim 1, which is characterized in that the self-adaptive PID controller is dense according to inlet nitrogen oxides Degree and outlet nitrous oxides concentration establish SCR spray ammonia system models;Then use genetic algorithm or PSO optimization algorithms to SCR Spray ammonia system model parameter optimizes, and obtains the PID optimal parameters of the self-adaptive PID controller.
6. the method as described in claim 1, which is characterized in that measure the outlet nitrogen oxygen using multiple spot matrix form measuring instrumentss The measured value of compound concentration.
7. a kind of SCR denitration based on model adaptation PID intelligently sprays ammonia optimization system, which is characterized in that before ammonia spraying amount Feedback signal generates unit, self-adaptive PID controller and SCR denitration system;Wherein,
The ammonia spraying amount feed-forward signal generates unit, connects coal fired power generating unit combustion system operation data sensor, based on fire coal The operation data of fired power generating unit combustion system operation data sensor acquisition, establishes inlet nitrogen oxides concentration model;And it utilizes The inlet nitrogen oxides concentration model and the operation data currently acquired, obtain the predicted value of inlet nitrogen oxides concentration, then The ammonia spraying amount feed-forward signal under current operating condition is calculated according to inlet nitrogen oxides concentration prediction value;
The self-adaptive PID controller, connection outlet nitrous oxides concentration measuring instrumentss, for being burnt according to fossil-fired unit The measured value of the outlet nitrous oxides concentration of system and the deviation for exporting nitrous oxides concentration setting value obtain ammonia spraying amount feedback and control Signal processed;
The SCR denitration system, be separately connected the ammonia spraying amount feed-forward signal generate unit and the self-adaptive PID controller with The ammonia spraying amount feed-forward signal and ammonia spraying amount feedback control signal are received, for anti-according to the ammonia spraying amount feed-forward signal and ammonia spraying amount Feedforward control signal controls the ammonia spraying amount of SCR denitration reactor.
8. system as claimed in claim 7, which is characterized in that drawn to the operation data by pivot analysis algorithm Point, it determines to be associated with close parameter with inlet nitrogen oxides;Then it will determine to be associated with inlet nitrogen oxides closely Parameter establishes inlet nitrogen oxides as training data using deep learning algorithm or least square method supporting vector machine algorithm Concentration model;The operation data includes unit load, primary air flow, secondary air flow, total coal amount, coal pulverizer operation number of units.
9. system as claimed in claim 7, which is characterized in that the self-adaptive PID controller is dense according to inlet nitrogen oxides Degree and outlet nitrous oxides concentration establish SCR spray ammonia system models;Then use genetic algorithm or PSO optimization algorithms to SCR Spray ammonia system model parameter optimizes, and obtains the PID optimal parameters of the self-adaptive PID controller.
10. system as claimed in claim 7, which is characterized in that measure the outlet nitrogen using multiple spot matrix form measuring instrumentss The measured value of oxide concentration.
CN201810710315.3A 2018-07-02 2018-07-02 A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID Pending CN108628177A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810710315.3A CN108628177A (en) 2018-07-02 2018-07-02 A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810710315.3A CN108628177A (en) 2018-07-02 2018-07-02 A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID

Publications (1)

Publication Number Publication Date
CN108628177A true CN108628177A (en) 2018-10-09

Family

ID=63688632

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810710315.3A Pending CN108628177A (en) 2018-07-02 2018-07-02 A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID

Country Status (1)

Country Link
CN (1) CN108628177A (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109107360A (en) * 2018-11-01 2019-01-01 国家能源投资集团有限责任公司 Spray ammonia control method and device based on denitrating system
CN109304086A (en) * 2018-10-31 2019-02-05 华中科技大学 A kind of station boiler SCR denitration fining spray ammonia control method
CN109343349A (en) * 2018-11-01 2019-02-15 大唐环境产业集团股份有限公司 A kind of SCR denitrating flue gas Optimal Control System and method based on ammonia spraying amount compensator
CN109711589A (en) * 2019-02-01 2019-05-03 江苏方天电力技术有限公司 A kind of SCR denitration system running optimizatin method and system based on big data
CN109933884A (en) * 2019-03-08 2019-06-25 华北电力大学(保定) A method of towards coal unit SCR denitration system Neural network inverse control
CN110501901A (en) * 2019-07-08 2019-11-26 华能南京金陵发电有限公司 The SCR spray ammonia required based on the accurate denitration of full load adjusts the method optimized
CN111540412A (en) * 2020-04-24 2020-08-14 大唐环境产业集团股份有限公司 SCR reactor inlet flue gas soft measurement method based on least square method
CN111581894A (en) * 2020-04-09 2020-08-25 东南大学 SCR ammonia injection amount intelligent monitoring system and method
CN111931426A (en) * 2020-09-25 2020-11-13 大唐环境产业集团股份有限公司 Method and equipment for determining influence factors of concentration of nitrogen oxides at inlet of SCR (Selective catalytic reduction) reactor
CN112619394A (en) * 2020-11-24 2021-04-09 呼和浩特科林热电有限责任公司 Denitration ammonia injection self-adaptive control method and device and denitration system
CN112947075A (en) * 2021-01-29 2021-06-11 华能武汉发电有限责任公司 Method, system and device for stabilizing denitration system out of saturation region
CN113433911A (en) * 2021-06-30 2021-09-24 浙江大学 Denitration device ammonia injection accurate control system and method based on concentration accurate prediction
CN113446598A (en) * 2021-05-26 2021-09-28 山西河坡发电有限责任公司 Low-nitrogen combustion zone control method under full load of CFB boiler
CN113485106A (en) * 2021-07-07 2021-10-08 山西大学 Method for controlling concentration of nitrogen oxide in thermal power plant
CN114632417A (en) * 2022-03-17 2022-06-17 国能龙源环保有限公司 Take accurate feedforward signal's denitration ammonia supply automatic regulating system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105700504A (en) * 2016-02-24 2016-06-22 东南大学 SCR system automatic control method based on ammonia spraying sensitive valve locking
US20160209031A1 (en) * 2015-01-20 2016-07-21 Alstom Technology Ltd Model-based controls for a furnace and method for controlling the furnace
KR101669598B1 (en) * 2015-12-02 2016-10-26 한국남동발전 주식회사 Cascade control method using IDF outlet NOx analyzer for De-NOx process
CN106681381A (en) * 2017-01-03 2017-05-17 华北电力大学 SCR denitration system ammonia spraying quantity optimal control system and method based on intelligent feedforward signals
CN106773649A (en) * 2016-12-21 2017-05-31 成都千嘉科技有限公司 A kind of automatic control valve for gaseous fuel door intelligent control method based on PSO pid algorithms
CN107243257A (en) * 2017-05-08 2017-10-13 浙江大学 It is adapted to the intelligence spray ammonia control system of full load
CN107561941A (en) * 2017-09-01 2018-01-09 华北电力大学(保定) A kind of full working scope qualified discharge control method of fired power generating unit denitrating system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160209031A1 (en) * 2015-01-20 2016-07-21 Alstom Technology Ltd Model-based controls for a furnace and method for controlling the furnace
KR101669598B1 (en) * 2015-12-02 2016-10-26 한국남동발전 주식회사 Cascade control method using IDF outlet NOx analyzer for De-NOx process
CN105700504A (en) * 2016-02-24 2016-06-22 东南大学 SCR system automatic control method based on ammonia spraying sensitive valve locking
CN106773649A (en) * 2016-12-21 2017-05-31 成都千嘉科技有限公司 A kind of automatic control valve for gaseous fuel door intelligent control method based on PSO pid algorithms
CN106681381A (en) * 2017-01-03 2017-05-17 华北电力大学 SCR denitration system ammonia spraying quantity optimal control system and method based on intelligent feedforward signals
CN107243257A (en) * 2017-05-08 2017-10-13 浙江大学 It is adapted to the intelligence spray ammonia control system of full load
CN107561941A (en) * 2017-09-01 2018-01-09 华北电力大学(保定) A kind of full working scope qualified discharge control method of fired power generating unit denitrating system

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109304086A (en) * 2018-10-31 2019-02-05 华中科技大学 A kind of station boiler SCR denitration fining spray ammonia control method
CN109304086B (en) * 2018-10-31 2020-11-24 华中科技大学 Power station boiler SCR denitration refined ammonia injection control method
CN109343349B (en) * 2018-11-01 2023-08-22 大唐环境产业集团股份有限公司 SCR flue gas denitration optimal control system and method based on ammonia injection amount compensator
CN109343349A (en) * 2018-11-01 2019-02-15 大唐环境产业集团股份有限公司 A kind of SCR denitrating flue gas Optimal Control System and method based on ammonia spraying amount compensator
CN109107360B (en) * 2018-11-01 2021-09-21 国家能源投资集团有限责任公司 Ammonia injection control method and device based on denitration system
CN109107360A (en) * 2018-11-01 2019-01-01 国家能源投资集团有限责任公司 Spray ammonia control method and device based on denitrating system
CN109711589A (en) * 2019-02-01 2019-05-03 江苏方天电力技术有限公司 A kind of SCR denitration system running optimizatin method and system based on big data
CN109933884B (en) * 2019-03-08 2023-08-29 华北电力大学(保定) Neural network inverse control method for SCR denitration system of coal-fired unit
CN109933884A (en) * 2019-03-08 2019-06-25 华北电力大学(保定) A method of towards coal unit SCR denitration system Neural network inverse control
CN110501901A (en) * 2019-07-08 2019-11-26 华能南京金陵发电有限公司 The SCR spray ammonia required based on the accurate denitration of full load adjusts the method optimized
CN110501901B (en) * 2019-07-08 2022-05-10 华能南京金陵发电有限公司 SCR ammonia injection regulation optimization method based on full-load accurate denitration requirement
CN111581894A (en) * 2020-04-09 2020-08-25 东南大学 SCR ammonia injection amount intelligent monitoring system and method
CN111581894B (en) * 2020-04-09 2021-02-26 东南大学 SCR ammonia injection amount intelligent monitoring system and method
CN111540412B (en) * 2020-04-24 2021-03-09 大唐环境产业集团股份有限公司 SCR reactor inlet flue gas soft measurement method based on least square method
CN111540412A (en) * 2020-04-24 2020-08-14 大唐环境产业集团股份有限公司 SCR reactor inlet flue gas soft measurement method based on least square method
CN111931426B (en) * 2020-09-25 2021-01-26 大唐环境产业集团股份有限公司 Method and equipment for determining influence factors of concentration of nitrogen oxides at inlet of SCR (Selective catalytic reduction) reactor
CN111931426A (en) * 2020-09-25 2020-11-13 大唐环境产业集团股份有限公司 Method and equipment for determining influence factors of concentration of nitrogen oxides at inlet of SCR (Selective catalytic reduction) reactor
CN112619394A (en) * 2020-11-24 2021-04-09 呼和浩特科林热电有限责任公司 Denitration ammonia injection self-adaptive control method and device and denitration system
CN112947075A (en) * 2021-01-29 2021-06-11 华能武汉发电有限责任公司 Method, system and device for stabilizing denitration system out of saturation region
CN113446598A (en) * 2021-05-26 2021-09-28 山西河坡发电有限责任公司 Low-nitrogen combustion zone control method under full load of CFB boiler
CN113433911A (en) * 2021-06-30 2021-09-24 浙江大学 Denitration device ammonia injection accurate control system and method based on concentration accurate prediction
CN113433911B (en) * 2021-06-30 2022-05-20 浙江大学 Accurate control system and method for ammonia spraying of denitration device based on accurate concentration prediction
CN113485106A (en) * 2021-07-07 2021-10-08 山西大学 Method for controlling concentration of nitrogen oxide in thermal power plant
CN114632417A (en) * 2022-03-17 2022-06-17 国能龙源环保有限公司 Take accurate feedforward signal's denitration ammonia supply automatic regulating system

Similar Documents

Publication Publication Date Title
CN108628177A (en) A kind of SCR denitration intelligence spray ammonia optimization method and system based on model adaptation PID
CN108664006A (en) It is a kind of that ammonia optimization method and system are intelligently sprayed based on the SCR denitration of zonal control and Dynamic matrix control
CN108837698A (en) Based on advanced measuring instrumentss and the SCR denitration of advanced control algorithm spray ammonia optimization method and system
CN108837699A (en) It is a kind of that ammonia optimization method and system are intelligently sprayed based on the SCR denitration of hard measurement and PREDICTIVE CONTROL
CN108803309A (en) It is a kind of that ammonia optimization method and system are intelligently sprayed based on the SCR denitration of hard measurement and model adaptation
CN107243257B (en) It is suitble to the intelligence spray ammonia control system of full load
CN112580250A (en) Thermal power generating unit denitration system based on deep learning and optimization control method
CN104826492B (en) Improvement method for selective catalytic reduction flue gas denitrification and ammonia injection control system
CN105597537B (en) Denitration control method based on Prediction and Control Technology
CN106681381A (en) SCR denitration system ammonia spraying quantity optimal control system and method based on intelligent feedforward signals
CN103268066B (en) The optimization method that a kind of station boiler runs and device
CN110263395A (en) The power plant's denitration running optimizatin method and system analyzed based on numerical simulation and data
CN103759277B (en) Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system
CN111624876B (en) Intelligent ammonia injection optimization control system
CN107544288A (en) A kind of denitration optimal control method and system
CN105629736A (en) Data-driven thermal power generation unit SCR denitration disturbance suppression prediction control method
CN113433911B (en) Accurate control system and method for ammonia spraying of denitration device based on accurate concentration prediction
CN107526292A (en) A kind of method of the regulation and control ammonia spraying amount based on inlet NOx concentration prediction
CN111968708A (en) SCR denitration ammonia injection amount prediction method based on random forest and LSTM neural network
CN109833773B (en) Efficient denitration ammonia flow accurate control method
CN105276561A (en) Self-adaption predictive control method for main steam pressure of boiler
CN112783115B (en) Online real-time optimization method and device for steam power system
CN109933884B (en) Neural network inverse control method for SCR denitration system of coal-fired unit
CN207478283U (en) A kind of fired power generating unit denitration real-time control apparatus
CN115685743A (en) Intelligent control coal-fired boiler and intelligent prediction regulation and control flue gas emission method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination