CN113042213B - Cooperative control method and system for electric dust removal system and ash conveying system - Google Patents
Cooperative control method and system for electric dust removal system and ash conveying system Download PDFInfo
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- CN113042213B CN113042213B CN202110258109.5A CN202110258109A CN113042213B CN 113042213 B CN113042213 B CN 113042213B CN 202110258109 A CN202110258109 A CN 202110258109A CN 113042213 B CN113042213 B CN 113042213B
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- 239000000428 dust Substances 0.000 title claims abstract description 305
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000005457 optimization Methods 0.000 claims abstract description 117
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- 239000007789 gas Substances 0.000 claims description 105
- 239000000463 material Substances 0.000 claims description 37
- 230000008021 deposition Effects 0.000 claims description 34
- 230000005684 electric field Effects 0.000 claims description 23
- 238000009825 accumulation Methods 0.000 claims description 21
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 17
- 239000003546 flue gas Substances 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 10
- 238000012216 screening Methods 0.000 claims description 8
- 239000004071 soot Substances 0.000 claims description 8
- 230000006872 improvement Effects 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 6
- 238000010926 purge Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000004088 simulation Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 2
- 239000002699 waste material Substances 0.000 abstract description 4
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 239000000779 smoke Substances 0.000 description 7
- 238000007664 blowing Methods 0.000 description 3
- 239000003245 coal Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
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- 238000007599 discharging Methods 0.000 description 2
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- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000001179 sorption measurement Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000003139 buffering effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03C—MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
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- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03C—MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03C3/00—Separating dispersed particles from gases or vapour, e.g. air, by electrostatic effect
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Abstract
The invention provides a cooperative control method and a cooperative control system for an electric dust removal system and an ash conveying system, and belongs to the technical field of thermal power generating units. The method comprises the following steps: acquiring real-time operation parameters of an electric dust removal system, an ash conveying system and a thermal power generating unit; according to the real-time operation parameters and preset rules, simulating to obtain a simulated ash conveying material-gas ratio of an ash conveying system; if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction; responding to an optimization instruction, and respectively generating an optimization scheme of the electric dust removal system and an optimization scheme of the ash conveying system according to the difference value between the simulated ash conveying material-gas ratio and the preset material-gas ratio threshold, an ash quantity data model of the electric dust removal system and real-time operation parameters; and carrying out variable parameter adjustment on the electric dust removing system and the ash conveying system. The scheme of the invention realizes the cooperative control of the electric dust removal system and the ash conveying system, reduces the energy consumption waste and improves the system intelligence.
Description
Technical Field
The invention relates to the technical field of thermal power generating units, in particular to a cooperative control method of an electric dust removing system and an ash conveying system and a cooperative control system of the electric dust removing system and the ash conveying system.
Background
The dust removing system of the thermal power generating unit is used for removing particle smoke dust in the smoke discharged by the boiler, so that the amount of smoke dust discharged into an atmosphere is greatly reduced, and the dust removing system is important environmental protection equipment for improving the environment and improving the control quality. The dust removing system of the thermal power generating unit mainly comprises an electric dust removing system and an ash conveying system, wherein the electric dust removing system is used for collecting the exhaust smoke of the boiler into an ash bucket, and the ash conveying system is used for conveying out dust in the ash bucket, so that unified treatment of the dust is realized.
In the existing control method, the electric dust removing system and the ash conveying system are independently controlled, namely, the electric dust removing system only adjusts an adaptive dust removing electric field according to the smoke condition, and the ash conveying system also performs regular dust discharge according to the preset time sequence and beat. The control method enables the electric dust removal system and the ash conveying system not to form a linkage relation, when the ash accumulation amount of the electric dust removal system is reduced, the ash conveying system still discharges dust according to a preset time sequence and beat, so that the ash conveying performance of the ash conveying system is excessive, and no matter the valve control or the energy loss of the air compressor for pressurizing a bin pump can not be adjusted adaptively according to actual conditions. Even though the working performance of the ash conveying system can be manually adjusted by related personnel, the adjustment range can be judged only empirically, so that the probability of increasing the ash accumulation of the pipeline due to excessive adjustment is very easy to cause. And when the dust deposition amount of the electric dust removal system is greatly increased, the dust conveying system cannot correspondingly improve the dust conveying performance of the electric dust removal system in time, and the dust deposition of a pipeline is easy to cause. Aiming at the problems of high useless power consumption and easy dust accumulation in a pipeline of the current control mode, a novel cooperative control method of an electric dust removal system and a dust conveying system needs to be created.
Disclosure of Invention
The embodiment of the invention aims to provide a cooperative control method of an electric dust removal system and an ash conveying system and a cooperative control system of the electric dust removal system and the ash conveying system, so as to at least solve the problems that the current dust removal control mode of a thermal power unit is high in useless power consumption and easy to cause pipeline ash deposition.
In order to achieve the above object, a first aspect of the present invention provides a cooperative control method of an electric dust removal system and an ash conveying system, for energy-saving control of ash conveying from a furnace of a thermal power generating unit, the method comprising: acquiring real-time operation parameters of the electric dust removal system, the ash conveying system and the thermal power generating unit; simulating to obtain a simulated ash conveying material-gas ratio of the ash conveying system according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and preset rules; if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction; responding to the optimizing instruction, and respectively generating an optimizing scheme of the electric dust removal system and an optimizing scheme of the ash delivery system according to the difference between the simulated ash delivery material gas ratio and the preset material gas ratio threshold, an ash quantity data model of the electric dust removal system, real-time operation parameters of the ash delivery system and real-time operation parameters of the thermal power generating unit; and executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system, and carrying out variable parameter adjustment on the electric dust removal system and the ash conveying system.
Optionally, the real-time operation parameters of the electric dust removal system include: real-time operation parameters of each electric field and real-time material level height information of each ash bucket; the real-time operation parameters of the ash conveying system comprise: real-time feeding setting time of the cabin pump and real-time air flow of the air main pipe; the real-time operation parameters of the thermal power generating unit comprise: the real-time dust property of the flue gas at the front end of the electric dust removal system and the real-time boiler load of the thermal power generating unit.
Optionally, the simulating the real-time ash conveying material-gas ratio of the ash conveying system according to the real-time operation parameter of the electric dust removing system, the real-time operation parameter of the ash conveying system and a preset rule includes: simulating the dust accumulation performance according to the real-time operation parameters of the electric dust removal system; simulating ash conveying performance according to real-time operation parameters of the ash conveying system; according to the simulated soot deposition performance and the simulated soot delivery performance, the simulated soot delivery material-gas ratio of the thermal power generating unit is calculated, and the calculation formula is as follows:
wherein F is the simulated ash conveying material gas ratio; m is the simulated dust conveying capacity obtained according to the simulated dust deposition performance; p is the simulated purge air consumption obtained from the simulated ash handling performance.
Optionally, the optimization instruction comprises an ash conveying system performance improvement instruction, an ash conveying system performance reduction instruction, an electric dust removal system performance reduction instruction and an electric dust removal system performance improvement instruction; if the simulated ash conveying material gas ratio has a difference value with a preset material gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction comprises: if the simulated ash conveying material-gas ratio is larger than the preset material-gas ratio threshold value and the difference value between the simulated ash conveying material-gas ratio and the simulated ash conveying material-gas ratio is larger than the preset difference value threshold value, generating an ash conveying system performance improving instruction and/or an electric dust removing system performance reducing instruction; and if the simulated ash conveying material-gas ratio is smaller than the preset material-gas ratio threshold value and the difference value between the simulated ash conveying material-gas ratio and the simulated ash conveying material-gas ratio is larger than the preset difference value threshold value, generating an ash conveying system performance reduction instruction and/or an electric dust removing system performance improvement instruction.
Optionally, the method further comprises: establishing an ash quantity data model of the electric dust removal system, which comprises the following steps: the operation parameters of all high-voltage equipment of the electric dust removal system are adjusted in real time according to a preset voltage setting rule; acquiring real-time dust accumulation data of each high-voltage device under the condition that each high-voltage device is determined to be in a normal working state; and calculating the real-time ash deposition performance of each ash bucket of each high-voltage device under different voltages according to the real-time ash deposition data of each high-voltage device, and establishing an ash quantity data model of the electric dust removal system.
Optionally, the generating the optimization scheme of the electric dust removal system and the optimization scheme of the ash delivery system according to the difference between the simulated ash delivery material gas ratio and the preset material gas ratio threshold, the ash amount data model of the electric dust removal system, the real-time operation parameter of the ash delivery system and the real-time operation parameter of the thermal power generating unit respectively includes: determining the optimization direction and the optimization quantity of the electric dust removal system and the optimization direction and the optimization quantity of the ash conveying system according to the difference between the simulated ash conveying material-gas ratio and a preset material-gas ratio threshold value, and respectively generating an optimization scheme candidate set of the electric dust removal system and an optimization scheme candidate set of the ash conveying system; analyzing real-time operation parameters of the electric dust removal system through the ash quantity data model, and screening an optimization scheme intermediate set meeting the ash quantity data model from the optimization scheme candidate set of the electric dust removal system; comparing the simulated power consumption of each optimization scheme in the middle set of the optimization schemes of the ash quantity data model, and selecting the optimization scheme with the minimum power consumption as the optimization scheme of the electric dust removal system; and screening out an optimization scheme with the lowest simulated power consumption from the optimization scheme candidate set of the ash conveying system as an optimization scheme of the ash conveying system according to the real-time operation parameters of the ash conveying system and the real-time operation parameters of the thermal power generating unit.
Optionally, the variable parameters of the electric dust removal system include: the power supply voltage of each high-voltage device of the electric dust removal system; the variable parameters of the ash conveying system comprise: the air inlet mode of the purge gas, the load of the air compressor and the set time of the feeding of the bin pump.
The second aspect of the invention provides a cooperative control system of an electric dust removal system and an ash conveying system, which is used for energy-saving control of ash conveying behind a furnace of a thermal power generating unit, and comprises the following components: the collecting unit is used for obtaining real-time operation parameters of the electric dust removing system, the ash conveying system and the thermal power generating unit; the processing unit is used for obtaining the simulated ash conveying material-gas ratio of the ash conveying system in a simulation mode according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and preset rules; if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction; the decision unit is used for responding to the optimization instruction and respectively generating an optimization scheme of the electric dust removal system and an optimization scheme of the ash delivery system according to the difference between the simulated ash delivery material gas ratio and the preset material gas ratio threshold value, an ash quantity data model of the electric dust removal system, real-time operation parameters of the ash delivery system and real-time operation parameters of the thermal power generating unit; and the execution unit is used for executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system and carrying out variable parameter adjustment on the electric dust removal system and the ash conveying system.
Optionally, the real-time operation parameters of the electric dust removal system include: real-time operation parameters of each electric field and real-time material level height information of each ash bucket; the real-time operation parameters of the ash conveying system comprise: real-time feeding setting time of the cabin pump and real-time air flow of the air main pipe; the real-time operation parameters of the thermal power generating unit comprise: the real-time boiler load of the thermal power generating unit and the real-time dust property of the flue gas at the front end of the electric dust removal system. The acquisition unit comprises: the data acquisition module is used for acquiring real-time operation parameters of each electric field of the electric dust removal system, real-time feeding set time of the bin pump, real-time dust properties of flue gas at the front end of the electric dust removal system and real-time boiler load of the thermal power unit through the thermal power unit; the air flow sensor is used for acquiring the real-time air flow of the air main pipe; and the material level sensor is used for acquiring the real-time material level height information of each ash bucket.
In another aspect, the present invention provides a computer readable storage medium having instructions stored thereon, which when executed on a computer, cause the computer to perform the above-described method for controlling an electric dust removal system and an ash delivery system in cooperation.
Through the technical scheme, the operation parameters of the electric dust removal system and the ash conveying system are obtained in real time, the real-time ash conveying material-gas ratio of the thermal power generating unit is obtained according to the operation parameters, the real-time dust removal performance of the thermal power generating unit is judged, the adjustment scheme of the electric dust removal system and the ash conveying system is correspondingly generated according to the difference between the preset optimal ash conveying material-gas ratio and the real-time ash conveying material-gas ratio of the thermal power generating unit, the optimal ash conveying material-gas ratio is realized through the cooperative cooperation of the electric dust removal system and the ash conveying system, the cooperative control of the electric dust removal system and the ash conveying system is realized, the resource waste is reduced, and the intelligence of the thermal power generating unit is improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of steps of a method for cooperative control of an electric dust removal system and an ash handling system according to an embodiment of the present invention;
FIG. 2 is a flowchart for generating an optimization scheme of an electric dust removal system and an ash conveying system according to an embodiment of the present invention;
FIG. 3 is a system configuration diagram of a cooperative control system of an electric dust removal system and an ash handling system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an acquisition unit of a cooperative control system of an electric dust removing system and an ash conveying system according to an embodiment of the present invention.
Description of the reference numerals
10-an acquisition unit; a 20-processing unit; 30-a decision unit; 40-an execution unit;
101-a data acquisition module; 102-an air flow sensor; 103-level sensor.
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
The ash conveying system is connected to the rear end of the electric dust removing system and is used for discharging dust accumulated by the electric dust removing system. There are a plurality of dust removal nets in the electric precipitation system, and every dust removal net is pressed from both sides in the centre by two dust collecting plates, and there is certain interval between dust removal net and the dust collecting plate, forms a plurality of three layer construction. The flue gas blows into the electric dust removal system, because the integrated plate and the dust removal net have different charges, an electric field is arranged between the dust removal net and the dust collection plate, and dust particles are adsorbed on the dust collection plate when passing through the electric field after being electrified by high-voltage equipment. After a certain amount of dust is absorbed, the dust collecting plate is rapped through the rapping device, so that the dust collected on the dust collecting plate falls down and is collected in the ash bucket below. In order to improve the dust collecting efficiency and facilitate dust discharge, a plurality of conical dust hoppers are arranged below the electric dust removing system, and each dust hopper is used for collecting dust independently and corresponds to each high-voltage electric field. The ash conveying system has the function of discharging dust collected by each ash bucket through compressed gas, and a bin pump is arranged below each ash bucket according to the design of a plurality of ash buckets, wherein the bin pump is a temporary storage box for dust. A valve is arranged between the bin pump and the ash bucket, when dust is conveyed, the valve between the bin pump and the ash bucket is opened, dust in the ash bucket falls into the bin pump through the valve, the opening time of the valve is preset, and when the preset time is reached, the valve is automatically closed. At this time, the dust is in the bin pump, then the bin pump is pressurized, the dust is discharged from the bin pump through the pressurized compressed air and the air main pipe discharged through the preset pipeline, and the air main pipe discharges the collected dust from all bin pumps into a unified dust treatment bin.
In the traditional control method, the electric dust removing system and the ash conveying system are independently controlled, namely, the electric dust removing system only adjusts an adaptive dust removing electric field according to the smoke condition, and the ash conveying system also performs regular dust discharge according to the preset time sequence and beat. The control method enables the electric dust removal system and the ash conveying system not to form a linkage relation, and when the ash accumulation amount of the electric dust removal system is reduced, the ash conveying system still discharges dust according to a preset time sequence and beat, so that the ash conveying performance of the ash conveying system is excessive. No matter the valve control or the energy loss of the air compressor for pressurizing the cabin pump, the adaptation adjustment can not be carried out according to the actual situation. Even though the working performance of the ash conveying system can be manually adjusted by related personnel, the adjustment range can be judged only empirically, so that the probability of ash accumulation in the pipeline caused by excessive adjustment is very easily caused. And when the dust deposition amount of the electric dust removal system is greatly increased, the dust conveying system cannot correspondingly improve the dust conveying performance of the electric dust removal system in time, and the dust deposition of a pipeline is easy to cause. Therefore, in order to reduce the problem of energy loss caused by pipeline blockage and idle work, the cooperative control method of the electric dust removal and ash conveying system provided by the invention is a method for comprehensively acquiring the operation parameters of the electric dust removal system and the ash conveying system and carrying out linkage control of the electric dust removal system and the ash conveying system according to actual conditions. So as to realize the linkage control of the electric dust removing system and the ash conveying system, and reduce the energy loss as much as possible on the premise of ensuring no ash accumulation. Specific explanation is given below by way of examples.
Fig. 3 is a system configuration diagram of a cooperative control system of an electric dust removing system and an ash conveying system according to an embodiment of the present invention. As shown in fig. 3, an embodiment of the present invention provides a cooperative control system of an electric dust removing system and an ash conveying system, the system including: the collecting unit 10 is used for obtaining real-time operation parameters of the electric dust removing system, the ash conveying system and the thermal power generating unit; the processing unit 20 is used for obtaining the simulated ash conveying material-gas ratio of the ash conveying system according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and preset rules in a simulation manner; if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction; the decision unit 30 is configured to generate an optimization scheme of the electric dust removal system and an optimization scheme of the ash delivery system according to the difference between the simulated ash delivery charge-gas ratio and the preset charge-gas ratio threshold, the ash amount data model of the electric dust removal system, the real-time operation parameters of the ash delivery system and the real-time operation parameters of the thermal power generating unit respectively in response to the optimization instruction; and the execution unit 40 is used for executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system and carrying out variable parameter adjustment on the electric dust removal system and the ash conveying system.
Preferably, the real-time operation parameters of the ash conveying system include: real-time feeding setting time of the cabin pump and real-time air flow of the air main pipe; the real-time operation parameters of the thermal power generating unit comprise: the real-time boiler load of the thermal power generating unit and the real-time dust property of the flue gas at the front end of the electric dust removal system. As shown in fig. 4, the acquisition unit 10 includes: the data acquisition module 101 is used for acquiring real-time operation parameters of each electric field of the electric dust removal system, real-time feeding set time of the bin pump, real-time dust properties of flue gas at the front end of the electric dust removal system and real-time boiler load of the thermal power unit through the thermal power unit; an air flow sensor 102 for acquiring a real-time air flow of the air header; and the material level sensor 103 is used for acquiring the real-time material level height information of each ash bucket.
Fig. 1 is a flow chart of a method for controlling an electric dust removing system and an ash conveying system in cooperation according to an embodiment of the invention. As shown in fig. 1, an embodiment of the present invention provides a cooperative control method for an electric dust removing system and an ash conveying system, where the method includes:
step S10: and acquiring the electric dust removal system, the ash conveying system and the real-time operation parameters of the thermal power generating unit.
Specifically, whether the electric dust removal system and the ash conveying system need to be operated and optimized is judged, the operation performance of the whole unit needs to be mastered first, and whether the electric dust removal system and the ash conveying system need to be operated and optimized is determined by whether the operation performance meets the optimal operation. For an electric dust removal system, the dust accumulation performance is related to the electric field performance, in theory, the larger the electric field strength is, the larger the adsorption force to dust is, but the dust amount in the flue gas is limited, and the dust discharge amount in the discharge standard cannot be 0. Therefore, when the power plant strength is set, the relation between the energy loss and the dust removal amount needs to be comprehensively considered. On the premise of ensuring the completion of the emission standard, the smaller the electric field intensity is, the smaller the corresponding energy consumption is. Therefore, when the dust removal performance of the electric dust removal system is obtained, the real-time power supply voltage of the electric dust removal system is required to be obtained so as to judge the real-time electric field intensity. The working performance of the ash conveying system is mainly air pressure when dust blowing is carried out, namely target pressure when the bin pump carries out dust conveying. Therefore, when the operation parameters of the ash conveying system are acquired, the target pressure of the corresponding bin pump for dust conveying is required to be acquired. Besides pressure information, the ash conveying beat of the ash conveying system influences the ash conveying performance, namely, the longer the feeding time is, the smaller the dust amount in the ash hopper is, the longer the ash conveying beat period is, and the lower the ash conveying performance of the whole system is. The shorter the feeding time is, the shorter the ash conveying beat period is, the more times of ash conveying are carried out in the same time, and the higher the ash conveying performance of the whole system is. It is also necessary to obtain a real-time feed setting time for the cartridge pump. As is well known, the main fuel of coal-fired power plants is coal, the types of coal are different, the loads of units are different, and the types and the dust contents of generated flue gas are different. The larger the dust particles, the higher the adsorption requirement on the electric field, and even the following ash conveying system needs to be adjusted adaptively. I.e. different loads and different coals will require different operational performance requirements of the electric dust removal system and the ash handling system. Therefore, reference is also needed according to the unit load and the smoke type when the running state is optimized.
In summary, when the operation parameters of the electric dust removal system and the ash conveying system are obtained, the operation parameters of the electric dust removal system include: the electric dust removing system comprises electric field operation parameters and material level height information of each ash bucket; the operating parameters of the ash conveying system include: real-time feeding setting time of the bin pump and air flow of the air main pipe; the real-time operation parameters of the thermal power generating unit comprise: the boiler load of the thermal power generating unit is the dust property of the flue gas at the front end of each electric dust removal system. Correspondingly, the data acquisition module 101 of the acquisition unit 10 is used for acquiring the operation parameters of each electric field of the electric dust removal system, the real-time feeding set time of the bin pump, the dust property of the flue gas at the front end of the electric dust removal system and the boiler load of the thermal power unit; air flow acquisition of the air main is performed by the air flow sensor 102 of the acquisition unit 10; the level sensor 103 of the acquisition unit 10 acquires the level information of each hopper.
Step S20: and simulating to obtain the simulated ash conveying material-gas ratio of the ash conveying system according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and preset rules.
Specifically, after the operation parameters of the electric dust removing system and the ash conveying system are obtained through the collecting unit 10, the processing unit 20 can obtain the ash accumulation performance of the electric dust removing system according to the operation parameters of the electric dust removing system, and can also obtain the ash conveying capacity of the ash conveying system through the operation parameters of the ash conveying system. In order to effectively embody the ash conveying efficiency of the whole system, the ash conveying material-gas ratio is introduced for efficiency evaluation. The concept of the ash feed gas ratio is the ratio between the amount of dust and the amount of compressed gas. The larger the ratio is, the larger the dust amount delivered by the same amount of compressed air is, and the higher the ash delivery efficiency is. The smaller the ratio, the smaller the amount of dust carried in the same amount of compressed air, which means that most of the compressed air is wasted and the lower the ash carrying efficiency. Therefore, according to the rule, the real-time ash conveying and gas conveying ratio of the thermal power generating unit is calculated, and the calculation formula is as follows:
Wherein F is the real-time ash conveying material-gas ratio; m is the real-time dust conveying amount obtained according to the dust accumulation performance; p is the real-time purge air consumption obtained according to the ash conveying performance.
Step S30: if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction.
Specifically, the ash conveying efficiency of the thermal power generating unit is quantitatively distinguished by the material-gas ratio, and the higher the material-gas ratio is, the larger the ash conveying amount in the compressed gas in unit volume is. The lower the feed gas ratio, the smaller the amount of dust delivered per unit compressed gas. However, if the feed gas ratio is infinitely increased, that is, if the amount of dust per compressed air is infinitely increased, the dust transfer amount limit corresponding to the amount of compressed air is always reached, and the dust transfer pipe is blocked. When the material-gas ratio is infinitely reduced, the dust amount in unit compressed air is infinitely reduced, so that a large amount of compressed air is wasted, and a large amount of energy is wasted. Therefore, on one hand, orderly dust conveying needs to be guaranteed, and on the other hand, the utilization of the compressed air is guaranteed, so that waste of useless gas is avoided. Therefore, according to the situation of each thermal power generating unit, the dust conveying pipelines are arranged differently, and the ideal material-gas ratio of each or each electric group is obtained. Namely, the compressed air quantity with the lowest energy consumption is used for each thermal power generating unit on the premise of ensuring effective dust conveying. And taking the relation as the optimal ash conveying and gas ratio of the corresponding thermal power generating unit, and in order to avoid frequent adjustment of the system, preferably, the actual ash conveying and gas ratio of the running thermal power generating unit quantitatively fluctuates near the optimal ash conveying and gas ratio, and the optimal adjustment of the system is only carried out when the preset fluctuation range is exceeded. Therefore, a preset difference threshold is required, and after the processing unit 20 obtains the ash conveying material gas ratio of the thermal power generating unit, the actual ash conveying material gas ratio is compared with the preset optimal ash conveying material gas ratio to judge whether a difference exists. If the difference value does not exist, the current system is in the optimal ash conveying efficiency state, and the current state is kept to continue to operate without state adjustment. If the difference value is judged to exist, the difference value is compared with a preset difference value threshold value, and if the difference value is judged to be larger than the preset difference value threshold value, the current ash conveying system is judged not to be in an optimal state. Under the condition that the ash conveying system is not in the optimal state, two conditions exist, namely, the real-time ash conveying material-gas ratio is larger than a preset material-gas ratio threshold value and the difference value is larger than a preset difference value threshold value, the condition indicates that the performance of the ash conveying system is insufficient, and the ash conveying performance of the ash conveying system needs to be improved or the ash accumulation performance of the electric dust removing system needs to be reduced. And secondly, the real-time ash conveying material-gas ratio is smaller than a preset material-gas ratio threshold value and the difference value is larger than a preset difference value threshold value, wherein the situation indicates that the performance of an ash conveying system is excessive, and the operation performance of the ash conveying system needs to be reduced so as to excessively increase the ash deposition performance of the electric dust removing system. In either case, the processing unit 20 determines that the thermal power system is not in the optimal ash delivery state, and needs to perform system operation state adjustment, and generates a preset optimization instruction to start the optimization adjustment.
Step S40: and responding to the optimization instruction, and respectively generating an optimization scheme of the electric dust removal system and an optimization scheme of the ash delivery system according to the difference between the simulated ash delivery material gas ratio and the preset material gas ratio threshold, an ash quantity data model of the electric dust removal system, real-time operation parameters of the electric dust removal system, the real-time operation parameters of the ash delivery system and the real-time operation parameters of the thermal power generating unit.
Specifically, after the decision unit 30 obtains the optimization instruction issued by the processing unit 20, the system optimization mode is started. Firstly, the decision unit 30 needs to know the optimization direction and the optimization amount, and the decision unit 30 judges the optimization amount through the difference value between the real-time ash conveying material gas ratio calculated by the processing unit 20 and the preset optimal ash conveying material gas ratio, wherein the optimization amount is the same as the difference value. And judging the optimization direction according to the magnitude and the relation between the real-time ash conveying system and the ash conveying material-gas ratio judged by the processing unit 20, namely judging the performance adjustment direction of the electric dust removing system and/or the ash conveying system. Before the method, a convenient and fast dust accumulation performance judgment basis of the electric dust removal system is needed, in order to avoid that the operation parameters of the electric dust removal system are required to be obtained when judgment is carried out each time, quantitative dust accumulation performance calculation is carried out, the response rate of the system is improved, and preferably, the dust amount data model of the electric dust removal system is obtained in advance. So, in the generation of the optimization scheme, specifically, as shown in fig. 2, the method includes the following steps:
Step S401: and acquiring an ash quantity data model of the electric dust removal system.
Specifically, the operation parameters of each high-voltage device of the electric dust removal system are adjusted according to a preset voltage setting rule; acquiring dust accumulation data of each high-voltage device in real time under the normal working state of each high-voltage device; and calculating the ash deposition performance of each ash bucket of each high-voltage device under different voltages according to the ash deposition data of each high-voltage device, and obtaining an ash quantity data model of the thermal power system. Firstly, performing self-adaptive training of each thermal power system according to different performances of each thermal power system, sequentially adjusting power supply voltage of each high-voltage device in a normal voltage adjustment range, and acquiring the soot deposition performance, namely the soot deposition amount per unit time, of each power supply voltage value. After a group of data is obtained, a functional relation among the voltage value, the acquisition time and the ash accumulation amount is established, and the next group of voltage value adaptation training is carried out. And acquiring the ash deposition amount in the same time, and correcting the generated functional relation according to the newly acquired voltage value and the ash deposition amount. And by analogy, obtaining a complete functional relation between the voltage value and the ash deposition amount, and obtaining the ash deposition amount of each ash bucket only according to the power supply voltage of the electric dust removal system when judging the ash deposition performance of the subsequent electric dust removal system.
In another possible embodiment, because of the difference in the opportunistic properties of the dust collection performance of the electric dust collection system between the dust hoppers and the electric field locations. Because the dust content in the flue gas at the inlet end is large and the dust content in the flue gas at the outlet end is small as the flue gas blows through the dust accumulation electric field. Therefore, on the same electric field, the ash deposition amount at the constant end is necessarily larger than that at the exit end, and the ash deposition amount per unit time of the ash bucket below the entrance end is necessarily larger than that between ash bucket units below the exit end. This relationship, expressed by a function, may require too much data to be considered, resulting in longer computation times. In a further possible embodiment, the stepless regulation of the supply voltage is therefore dispensed with, instead of a stepped regulation, i.e. a preset supply voltage step value, the difference between every two supply voltages being equal. And acquiring the ash deposition amount of the ash bucket at the corresponding position in unit time under the power supply voltage of each step, and then forming a corresponding table after acquiring the corresponding ash deposition amount of all the step voltages according to the corresponding relation between the stroke corresponding voltage value and the ash deposition amount. In the subsequent use process, the voltage of the current cover sub-equipment is directly matched from a preset table, so that the corresponding ash deposition amount of the ash bucket is obtained, and the response time of the system is reduced.
Step S402: and respectively generating an optimization scheme of the electric dust removal system and an optimization scheme of the ash conveying system.
Specifically, determining the optimization direction and the optimization quantity of the electric dust removal system and the ash conveying system according to the difference value between the real-time ash conveying material-gas ratio and a preset material-gas ratio threshold; generating an optimization scheme candidate set of the electric dust removal system and the ash conveying system according to the optimization direction and the optimization quantity; comparing the ash quantity data model according to the operation parameters of the electric dust removal system, and screening an optimization scheme intermediate set meeting the ash quantity data model from a dust removal system optimization scheme candidate set; comparing the simulated power consumption of each optimization scheme of the middle set of optimization schemes of the ash quantity data model, and selecting the minimum power consumption optimization scheme as the optimization scheme of the electric dust removal system; and screening the optimal scheme with the lowest simulated power consumption from the optimal scheme candidate set of the ash conveying system as the optimal scheme of the ash conveying system according to the operation parameters of the ash conveying system and the real-time operation parameters of the thermal power generating unit. In general, the optimization basis of the electric dust removal system and the ash conveying system shows that the energy loss of the electric dust removal system and the ash conveying system for state adjustment is reduced as much as possible on the premise of ensuring the optimal ash conveying material-gas ratio.
Embodiment one:
the ash quantity data model of the electric dust removal system represents the ash deposition quantity of the ash bucket under each electric field in unit time, and if the ash deposition is guaranteed to be conveyed all the time, even if dust is always stored in the ash bucket, the dynamic balance can be theoretically achieved as long as the ash conveying quantity of the ash conveying system in unit time is equal to the ash deposition quantity of the electric dust removal system in unit time. The ash amount in the ash hopper is unchanged, but dust output is continuously carried out in the ash conveying pipeline, and the ash accumulation of the electric dust removing system can not cause the explosion of the ash hopper. Therefore, an operation mode of preferential control according to the ash quantity data model and a control mode of material position rear position are adopted. Firstly, ensuring that the ash hopper does not explode the bin, and then considering the material level control of the ash hopper.
Embodiment two:
if the dust amount in the flue gas is small due to the fact that the load of the thermal power generating unit is small or the coal quality is small, namely the current ash amount is small, and the bin level indicator of the ash bin shows that the ash bin is not too high, the ash conveying performance requirement of the whole system is low. The feeding time of the bin pump is adjusted, namely the buffering time of dust is prolonged, and the conveying frequency of the dust is reduced. When the pressure in the pipeline is large at this time, the current dust conveying is difficult, the starting time of a bin pump valve is reduced, the ash conveying frequency is increased, and the occurrence of the pipe blockage is avoided.
Embodiment III:
when the performance of the current ash conveying system is judged to be excessive, the ash conveying and blowing is carried out, namely the air consumption is large, after the dust conveying of a power plant is completed, compressed air supply is carried out through a bypass, the air loss of a main pipe is reduced, and the blowing with small air consumption is adopted. The use efficiency of energy is improved, and the energy waste is reduced.
According to the embodiment of the invention, the minimum pipeline data operation is realized according to the boiler load and ash quantity data model, the peak gas consumption is reduced, the uploading and unloading times of the air compressor are reduced, and the power consumption is reduced to realize energy saving.
Step S50: and executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system, and carrying out variable parameter adjustment on the electric dust removal system and the ash conveying system.
Specifically, the decision unit 30 sends the generated optimization schemes to the electric dust removing system and the ash conveying system respectively, and the execution unit 40 executes the operation state adjustment of the electric dust removing system and the ash conveying system respectively. The power supply voltage of the electric dust removal system is adjusted according to the optimization scheme, and the opening time of a bin pump valve of the ash conveying system and the working performance of the air pressure air are adjusted according to the optimization scheme, so that the ash conveying material-air ratio of the adjusted thermal power system returns to the fluctuation range of the preset optimal ash conveying material-air ratio, and the energy loss is reduced.
In one possible implementation manner, after the electric dust removal and ash conveying system cooperative control system is constructed on a certain thermal power generating unit, according to the self-adaptive training and the simulation operation of the corresponding thermal power generating unit, an actual comparison table for realizing ash conveying energy-saving operation or minimum pipeline data operation as shown in a table one is obtained:
table-one ash conveying energy-saving operation or minimum pipeline data operation for realizing comparison
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with instructions, and when the computer is operated on the computer, the computer is caused to execute the cooperative control method of the electric dust removing system and the ash conveying system.
Those skilled in the art will appreciate that all or part of the steps in a method for implementing the above embodiments may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a single-chip microcomputer, chip or processor (processor) to perform all or part of the steps in a method according to the embodiments of the invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The alternative embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the embodiments of the present invention are not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the embodiments of the present invention within the scope of the technical concept of the embodiments of the present invention, and all the simple modifications belong to the protection scope of the embodiments of the present invention. In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the various possible combinations of embodiments of the invention are not described in detail.
In addition, any combination of the various embodiments of the present invention may be made, so long as it does not deviate from the idea of the embodiments of the present invention, and it should also be regarded as what is disclosed in the embodiments of the present invention.
Claims (8)
1. The cooperative control method of the electric dust removal system and the ash conveying system is used for energy-saving control of ash conveying behind a furnace of a thermal power generating unit and is characterized by comprising the following steps of:
acquiring real-time operation parameters of the electric dust removal system, the ash conveying system and the thermal power generating unit;
Simulating to obtain a simulated ash conveying material-gas ratio of the ash conveying system according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and preset rules;
if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction;
responding to the optimizing instruction, and respectively generating an optimizing scheme of the electric dust removal system and an optimizing scheme of the ash delivery system according to the difference between the simulated ash delivery material gas ratio and the preset material gas ratio threshold, an ash quantity data model of the electric dust removal system, real-time operation parameters of the ash delivery system and real-time operation parameters of the thermal power generating unit; wherein,
the construction method of the ash quantity data model of the electric dust removal system comprises the following steps:
the operation parameters of all high-voltage equipment of the electric dust removal system are adjusted in real time according to a preset voltage setting rule;
acquiring real-time dust accumulation data of each high-voltage device under the condition that each high-voltage device is determined to be in a normal working state;
calculating the real-time ash deposition performance of each ash bucket of each high-voltage device under different voltages according to the real-time ash deposition data of each high-voltage device, and establishing an ash quantity data model of the electric dust removal system;
According to the difference between the simulated ash conveying material-gas ratio and the preset material-gas ratio threshold, the ash amount data model of the electric dust removal system, the real-time operation parameters of the ash conveying system and the real-time operation parameters of the thermal power generating unit, an optimization scheme of the electric dust removal system and an optimization scheme of the ash conveying system are respectively generated, and the method comprises the following steps:
determining the optimization direction and the optimization quantity of the electric dust removal system and the optimization direction and the optimization quantity of the ash conveying system according to the difference between the simulated ash conveying material-gas ratio and a preset material-gas ratio threshold value, and respectively generating an optimization scheme candidate set of the electric dust removal system and an optimization scheme candidate set of the ash conveying system;
analyzing real-time operation parameters of the electric dust removal system through the ash quantity data model, and screening an optimization scheme intermediate set meeting the ash quantity data model from the optimization scheme candidate set of the electric dust removal system;
comparing the simulated power consumption of each optimization scheme in the middle set of the optimization schemes of the ash quantity data model, and selecting the optimization scheme with the minimum power consumption as the optimization scheme of the electric dust removal system;
screening out an optimization scheme with the lowest simulated power consumption from the optimization scheme candidate set of the ash conveying system as an optimization scheme of the ash conveying system according to the real-time operation parameters of the ash conveying system and the real-time operation parameters of the thermal power generating unit;
And executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system, and carrying out variable parameter adjustment on the electric dust removal system and the ash conveying system.
2. The cooperative control method of claim 1, wherein the real-time operating parameters of the electric dust removal system include: real-time operation parameters of each electric field and real-time material level height information of each ash bucket;
the real-time operation parameters of the ash conveying system comprise: real-time feeding setting time of the cabin pump and real-time air flow of the air main pipe;
the real-time operation parameters of the thermal power generating unit comprise: the real-time dust property of the flue gas at the front end of the electric dust removal system and the real-time boiler load of the thermal power generating unit.
3. The cooperative control method according to claim 2, wherein simulating the real-time ash conveying and gas-to-material ratio of the ash conveying system according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and a preset rule comprises:
simulating the dust accumulation performance according to the real-time operation parameters of the electric dust removal system;
simulating ash conveying performance according to real-time operation parameters of the ash conveying system;
according to the simulated soot deposition performance and the simulated soot delivery performance, the simulated soot delivery material-gas ratio of the thermal power generating unit is calculated, and the calculation formula is as follows:
Wherein F is the simulated ash conveying material gas ratio;
m is the simulated dust conveying capacity obtained according to the simulated dust deposition performance;
p is the simulated purge air consumption obtained from the simulated ash handling performance.
4. The cooperative control method according to claim 1, wherein the optimization instruction includes an ash delivery system performance improvement instruction, an ash delivery system performance reduction instruction, an electric dust removal system performance improvement instruction, and an electric dust removal system performance reduction instruction;
if the simulated ash conveying material gas ratio has a difference value with a preset material gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction comprises:
if the simulated ash conveying material-gas ratio is larger than the preset material-gas ratio threshold value and the difference value between the simulated ash conveying material-gas ratio and the simulated ash conveying material-gas ratio is larger than the preset difference value threshold value, generating an ash conveying system performance improving instruction and/or an electric dust removing system performance reducing instruction;
and if the simulated ash conveying material-gas ratio is smaller than the preset material-gas ratio threshold value and the difference value between the simulated ash conveying material-gas ratio and the simulated ash conveying material-gas ratio is larger than the preset difference value threshold value, generating an ash conveying system performance reduction instruction and/or an electric dust removing system performance improvement instruction.
5. The cooperative control method of claim 1, wherein the variable parameters of the electric dust removal system include: the power supply voltage of each high-voltage device of the electric dust removal system;
The variable parameters of the ash conveying system comprise: the air inlet mode of the purge gas, the load of the air compressor and the set time of the feeding of the bin pump.
6. A cooperative control system of an electric dust removal system and an ash conveying system, which is used for energy-saving control of ash conveying behind a furnace of a thermal power generating unit, and is characterized in that the system comprises:
the collecting unit is used for obtaining real-time operation parameters of the electric dust removing system, the ash conveying system and the thermal power generating unit;
the processing unit is used for obtaining the simulated ash conveying material-gas ratio of the ash conveying system in a simulation mode according to the real-time operation parameters of the electric dust removing system, the real-time operation parameters of the ash conveying system and preset rules; if the simulated ash conveying gas ratio has a difference value with a preset gas ratio threshold value and the difference value is larger than the preset difference value threshold value, generating an optimization instruction;
the decision unit is used for responding to the optimization instruction and respectively generating an optimization scheme of the electric dust removal system and an optimization scheme of the ash delivery system according to the difference between the simulated ash delivery material gas ratio and the preset material gas ratio threshold value, an ash quantity data model of the electric dust removal system, real-time operation parameters of the ash delivery system and real-time operation parameters of the thermal power generating unit; wherein,
The construction method of the ash quantity data model of the electric dust removal system comprises the following steps:
the operation parameters of all high-voltage equipment of the electric dust removal system are adjusted in real time according to a preset voltage setting rule;
acquiring real-time dust accumulation data of each high-voltage device under the condition that each high-voltage device is determined to be in a normal working state;
calculating the real-time ash deposition performance of each ash bucket of each high-voltage device under different voltages according to the real-time ash deposition data of each high-voltage device, and establishing an ash quantity data model of the electric dust removal system;
according to the difference between the simulated ash conveying material-gas ratio and the preset material-gas ratio threshold, the ash amount data model of the electric dust removal system, the real-time operation parameters of the ash conveying system and the real-time operation parameters of the thermal power generating unit, an optimization scheme of the electric dust removal system and an optimization scheme of the ash conveying system are respectively generated, and the method comprises the following steps:
determining the optimization direction and the optimization quantity of the electric dust removal system and the optimization direction and the optimization quantity of the ash conveying system according to the difference between the simulated ash conveying material-gas ratio and a preset material-gas ratio threshold value, and respectively generating an optimization scheme candidate set of the electric dust removal system and an optimization scheme candidate set of the ash conveying system;
Analyzing real-time operation parameters of the electric dust removal system through the ash quantity data model, and screening an optimization scheme intermediate set meeting the ash quantity data model from the optimization scheme candidate set of the electric dust removal system;
comparing the simulated power consumption of each optimization scheme in the middle set of the optimization schemes of the ash quantity data model, and selecting the optimization scheme with the minimum power consumption as the optimization scheme of the electric dust removal system;
screening out an optimization scheme with the lowest simulated power consumption from the optimization scheme candidate set of the ash conveying system as an optimization scheme of the ash conveying system according to the real-time operation parameters of the ash conveying system and the real-time operation parameters of the thermal power generating unit;
and the execution unit is used for executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system and carrying out variable parameter adjustment on the electric dust removal system and the ash conveying system.
7. The cooperative control system of claim 6, wherein the real-time operating parameters of the electric precipitation system include: real-time operation parameters of each electric field and real-time material level height information of each ash bucket;
the real-time operation parameters of the ash conveying system comprise: real-time feeding setting time of the cabin pump and real-time air flow of the air main pipe;
The real-time operation parameters of the thermal power generating unit comprise: the real-time boiler load of the thermal power generating unit and the real-time dust property of the flue gas at the front end of the electric dust removal system;
the acquisition unit comprises:
the data acquisition module is used for acquiring real-time operation parameters of each electric field of the electric dust removal system, real-time feeding set time of the bin pump, real-time dust properties of flue gas at the front end of the electric dust removal system and real-time boiler load of the thermal power unit through the thermal power unit;
the air flow sensor is used for acquiring the real-time air flow of the air main pipe;
and the material level sensor is used for acquiring the real-time material level height information of each ash bucket.
8. A computer readable storage medium having instructions stored thereon, which when run on a computer causes the computer to perform the method of cooperative control of an electric dust removal system and an ash handling system according to any of claims 1 to 5.
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