CN111189043A - Quick and stable oxygen content control system of biomass CFB boiler - Google Patents
Quick and stable oxygen content control system of biomass CFB boiler Download PDFInfo
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- CN111189043A CN111189043A CN202010101524.5A CN202010101524A CN111189043A CN 111189043 A CN111189043 A CN 111189043A CN 202010101524 A CN202010101524 A CN 202010101524A CN 111189043 A CN111189043 A CN 111189043A
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- Prior art keywords
- air volume
- load
- oxygen
- expert
- secondary air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23C—METHODS OR APPARATUS FOR COMBUSTION USING FLUID FUEL OR SOLID FUEL SUSPENDED IN A CARRIER GAS OR AIR
- F23C10/00—Fluidised bed combustion apparatus
- F23C10/18—Details; Accessories
- F23C10/28—Control devices specially adapted for fluidised bed, combustion apparatus
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23L—SUPPLYING AIR OR NON-COMBUSTIBLE LIQUIDS OR GASES TO COMBUSTION APPARATUS IN GENERAL ; VALVES OR DAMPERS SPECIALLY ADAPTED FOR CONTROLLING AIR SUPPLY OR DRAUGHT IN COMBUSTION APPARATUS; INDUCING DRAUGHT IN COMBUSTION APPARATUS; TOPS FOR CHIMNEYS OR VENTILATING SHAFTS; TERMINALS FOR FLUES
- F23L9/00—Passages or apertures for delivering secondary air for completing combustion of fuel
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N3/00—Regulating air supply or draught
- F23N3/002—Regulating air supply or draught using electronic means
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N5/00—Systems for controlling combustion
- F23N5/003—Systems for controlling combustion using detectors sensitive to combustion gas properties
- F23N5/006—Systems for controlling combustion using detectors sensitive to combustion gas properties the detector being sensitive to oxygen
Abstract
The invention discloses a rapid and stable oxygen content control system of a biomass CFB boiler, which is provided with an oxygen content-fuel expert system, an oxygen content prediction control system, an overlapping control model controller, a load-primary air volume expert system and a load-secondary air volume expert system. The method comprises the steps of matching proper air volume (including primary air volume and secondary air volume) under a certain load through an expert database, predicting the oxygen volume in real time according to the actual change of the oxygen volume and the influence of each operation parameter on the change of the oxygen volume, and realizing the rapid and stable control of the oxygen volume of the biomass CFB boiler through models such as a disturbance observer, an overlapping control and the like.
Description
Technical Field
The invention relates to a biomass CFB boiler control system, in particular to a rapid and stable oxygen content control system of a biomass CFB boiler.
Background
The biomass CFB boiler is gradually concerned by various countries due to the unique advantages in three aspects of replacing fuel, treating various wastes and protecting the environment, the biomass is treated by the technology which is started in the end of the 80 th 20 th century, the biomass has considerable scale and certain operation experience abroad, and the application in China is just started.
At present, the domestic biomass CFB boiler is combusted, the automatic operation rate of a control loop is low, or the adaptability of a control system to load change and fuel heat value fluctuation is poor, so that the great fluctuation of heat brought into the boiler is easily caused, the most direct and rapid reaction is the great fluctuation of oxygen amount, the high-load oxygen amount is high, the NOX emission is increased, the environmental protection performance is reduced, the power consumption of air supply and induced air is increased, and the economical efficiency is reduced; the high load oxygen content is low, the furnace temperature is reduced, the combustion is insufficient, the fuel is wasted, and the economical efficiency is reduced.
In summary, in order to realize the economic, environment-friendly and stable operation of the biomass CFB boiler, a control system is urgently needed to make the oxygen content quickly and stably.
Disclosure of Invention
In view of the above problems, the invention aims to provide a rapid and stable oxygen amount control system for a biomass CFB boiler, which can keep the oxygen amount stable when the lifting load of the boiler and the heat value of fuel fluctuate greatly, so as to realize the stable operation of the boiler.
In order to achieve the purpose, the invention adopts the following technical scheme: a rapid oxygen content stabilizing control system of a biomass CFB boiler is characterized by comprising an oxygen content-fuel expert system, an oxygen content prediction control system, an overlapping control model controller, a load-primary air volume expert system and a load-secondary air volume expert system.
The oxygen-fuel expert system automatically determines the adjustment quantity of fuel entering the boiler according to the lifting amplitude and the lifting rate of the oxygen quantity; the adjustment of the oxygen quantity lifting amplitude mainly determines the increase and decrease quantity of the fuel through an expert database formed by analyzing field operation data in an oxygen quantity-fuel expert system; the oxygen lifting rate is adjusted by mainly adjusting the quantity of fuel entering the furnace more quickly through a disturbance observer data model, so that the function of reducing the oxygen change rate is realized; in the whole oxygen content-fuel expert system adjusting process, an oxygen content prediction control system is used for pre-judging possible change of oxygen content in advance, and adjustment is carried out more timely; and an overlapping control model controller is adopted to avoid the phenomenon of excessive overshoot while realizing quick response, thereby achieving the control requirement of quickly stabilizing oxygen quantity.
The load-primary air volume expert system automatically determines primary air volume to be added according to the lifting amplitude of the load, arranges operation data to form a load-primary air volume expert database, and dynamically infers the required primary air volume according to the load-primary air volume expert database when the working conditions such as lifting load and the like of a boiler change, so that the accurate and stable control of the primary air volume is realized, and the large fluctuation of oxygen volume caused by the fluctuation of the primary air volume is ensured not to occur.
And the load-secondary air volume expert system automatically determines the secondary air volume to be added according to the lifting amplitude of the load. The operation data are arranged to form a load-secondary air volume expert database, and when the working conditions such as lifting load and the like of the boiler change, the load-secondary air volume expert system dynamically infers the required secondary air volume according to the load-secondary air volume expert database, so that the accurate and stable control of the secondary air volume is realized, and the large fluctuation of the oxygen volume caused by the fluctuation of the secondary air volume is avoided.
Due to the adoption of the technical scheme, the invention has the following advantages: 1) the invention introduces an expert database, arranges the operation data to form the expert database, fully excavates the data value, dynamically infers the change quantity of the fuel quantity, the primary air quantity and the secondary air quantity, and achieves the purpose of quickly stabilizing the oxygen quantity; 2) the method adopts predictive control to dynamically judge the change trend of the oxygen amount, so as to adjust the oxygen amount more timely and realize quick adjustment of the oxygen amount; 3) the invention adds the controller of the overlapping control model, reduces the overshoot generated in the rapid adjustment process, and realizes the stable control of the oxygen amount.
Drawings
FIG. 1 is a block diagram of a fast ramp load control system for a circulating fluidized bed boiler.
Detailed Description
The invention is described in detail below with reference to fig. 1 and the examples.
As shown in FIG. 1, the control system of the present invention includes devices A1 and A2 which are an oxygen volume set point setting device and a load set point setting device, respectively; devices B1, B2, B3, B4, and B5 are disturbance observer model controllers, overlay control model controllers, expert database controllers, load-primary air volume expert system controllers, and load-secondary air volume expert system controllers, respectively, device Y is an oxygen amount prediction controller, devices C1, C2, and C3 are feed controllers, primary air controllers, and secondary air controllers, devices D1, D2, and D3 are feed amount actuators, primary air flow actuators, and secondary air flow actuators, respectively, and device E is a biomass CFB boiler device.
A1 is oxygen set point setting device, the input end is boiler operation oxygen control point set by operator, the output end is disturbance observer model controller B1, overlap control model controller B2 and expert database controller B3 set point SV. A2 is a load set-point setting device, the input end of the device is the main steam pressure of the boiler set by the process operator, and the output end of the device is the set-point SV of a load-primary air expert system controller B4 and a load-secondary air expert system controller B5.
The SV end of the disturbance observer model controller B1 is the output of an oxygen volume set value setter A1, the PV1 end is the output of an oxygen volume prediction controller, and the PV2 end is the output of an oxygen meter of a boiler device; the output end is connected to the SV end of the feeding controller. The system adopts a disturbance observer model algorithm.
The SV end of the controller B2 of the overlapping control model is the output of a set value setter A1 of oxygen amount, the PV1 end is the output of a predictive controller of oxygen amount, and the PV2 end is the output of an oxygen meter of a boiler device; the output end is connected to the SV end of the feeding controller. The system employs an overlapping control model algorithm.
The SV end of the expert database controller B3 is the output of an oxygen set value setter A1, the PV1 end is the output of an oxygen quantity prediction controller, and the PV2 end is the output of an oxygen meter of a boiler device; the output end is connected to the SV end of the feeding controller. The system employs an expert database model algorithm.
The SV end of the load-primary air volume expert system controller B4 is the output of a load set value setter A2, and the output end is output to the SV end of a primary air volume controller C2. The system adopts a load-primary air volume expert database expert algorithm.
The SV end of the load-secondary air volume expert system controller B5 is the output of the load set value setter A, and the output end is output to the SV end of the secondary air volume controller C3. The system adopts a load-secondary air volume expert database expert algorithm.
The oxygen amount predicting controller Y is a value obtained by predicting through an expert database model according to the change of the boiler operation oxygen amount and related influence parameters, and acts on PV1 ends of controllers B1, B2 and B3 respectively.
The PV input end of the feeding quantity controller C1 is a measured value of the feeding quantity, SV is the sum of the output OP1 of the disturbance observer model controller B1, the output OP2 of the overlapping control model controller B2 and the output OP3 of the expert database controller B3, the output end of the feeding quantity controller C1 is output to a feeding quantity actuator D1, and the controller adopts a PID algorithm.
The PV input end of the primary air volume controller C2 is the measured value of the primary air volume, the SV input end is the output OP4 of the load-primary air volume expert system controller B4 as the set value of the primary air volume controller C2, the output end of the primary air volume controller C2 is output to the primary air volume actuator D2, and the controller adopts PID algorithm.
The PV input end of the secondary air volume controller C3 is the measured value of the secondary air volume, the SV input end is the output OP5 of the load-secondary air volume expert system controller B5 as the set value of the secondary air volume controller C3, the output end of the secondary air volume controller C3 is output to the secondary air volume actuator D3, and the controller adopts PID algorithm.
Claims (4)
1. A rapid and stable oxygen content control system of a biomass CFB boiler is characterized by comprising an oxygen content-fuel expert system, an oxygen content prediction control system, an oxygen content overlapping control model controller, a load-primary air volume expert system and a load-secondary air volume expert system.
2. The system of claim 1, wherein the oxy-fuel expert system automatically determines the amount of fuel adjustment to the boiler based on the magnitude and rate of rise and fall of the oxygen; the adjustment of the oxygen quantity lifting amplitude is mainly realized by an expert database formed by analyzing field operation data by the oxygen quantity-fuel expert system to determine the increase and decrease quantity of the fuel; the oxygen quantity lifting rate is adjusted by mainly adjusting the quantity of fuel entering the furnace through a disturbance observer data model, so that the function of reducing the oxygen quantity change rate is realized; the oxygen amount prediction control system is used for predicting the change of oxygen amount in advance, adjusting in time and adopting the oxygen amount overlapping control model controller to carry out quick response so as to meet the control requirement of quickly stabilizing the oxygen amount.
3. The system for rapidly and stably controlling the oxygen content of the biomass CFB boiler according to claim 1, wherein the load-primary air volume expert system automatically determines the primary air volume to be added according to the lifting amplitude of the load, the operation data is arranged to form a load-primary air volume expert database, and when the working conditions such as lifting load and the like of the boiler change, the load-primary air volume expert system dynamically infers the required primary air volume according to the expert database to realize accurate and stable control of the primary air volume.
4. The system for rapidly and stably controlling oxygen content of the biomass CFB boiler according to claim 1, wherein the load-secondary air volume expert system automatically determines secondary air volume to be added according to the lifting amplitude of the load, arranges operation data to form a load-secondary air volume expert database, and dynamically infers the required secondary air volume according to the load-secondary air volume expert database when the working conditions such as lifting load and the like of the boiler change, so as to realize accurate and stable control of the secondary air volume.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2019204669272 | 2019-04-09 | ||
| CN201920466927 | 2019-04-09 |
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| CN111189043A true CN111189043A (en) | 2020-05-22 |
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| CN202010101524.5A Pending CN111189043A (en) | 2019-04-09 | 2020-02-19 | Quick and stable oxygen content control system of biomass CFB boiler |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112781032A (en) * | 2021-02-05 | 2021-05-11 | 神华神东电力有限责任公司 | Control method and control device for secondary air of circulating fluidized bed boiler |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105841145A (en) * | 2016-06-07 | 2016-08-10 | 山东和隆优化能源科技有限公司 | Rapid load increase and decrease control system of circulating fluidized bed boiler |
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2020
- 2020-02-19 CN CN202010101524.5A patent/CN111189043A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105841145A (en) * | 2016-06-07 | 2016-08-10 | 山东和隆优化能源科技有限公司 | Rapid load increase and decrease control system of circulating fluidized bed boiler |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112781032A (en) * | 2021-02-05 | 2021-05-11 | 神华神东电力有限责任公司 | Control method and control device for secondary air of circulating fluidized bed boiler |
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Application publication date: 20200522 |
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