CN113042213A - Collaborative control method and system for electric dust removal system and ash conveying system - Google Patents
Collaborative control method and system for electric dust removal system and ash conveying system Download PDFInfo
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Abstract
The invention provides a cooperative control method and 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; simulating to obtain a simulated ash conveying material gas ratio of the ash conveying system according to the real-time operation parameters and preset rules; if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is larger than the preset difference threshold, 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 gas ratio and the preset gas ratio threshold value, an ash amount data model of the electric dust removal system and real-time operation parameters; and performing variable parameter adjustment on the electric dust removal 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 intelligence of the system.
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 removal system and an ash conveying system and a cooperative control system of the electric dust removal system and the ash conveying system.
Background
The dust removal system of the thermal power generating unit is used for removing particle smoke dust in the smoke discharged from the boiler, so that the smoke dust discharged into the atmosphere is greatly reduced, and the dust removal system is important environment-friendly equipment for improving the environment and improving the control quality. The dust removal system of the thermal power generating unit mainly comprises an electric dust removal system and an ash conveying system, wherein the electric dust removal system is used for collecting flue gas discharged by a boiler into an ash bucket, and the ash conveying system is used for conveying out dust in the ash bucket to realize unified treatment of the dust.
In the existing control method, an electric dust removal system and an ash conveying system are independently controlled, namely, the electric dust removal system only carries out adaptive dust removal electric field adjustment according to the smoke condition, and the ash conveying system also carries out regular dust discharge according to a preset time sequence and a beat. The control method can prevent the electric dust removal system and the ash conveying system from forming a linkage relation, when the ash deposition amount of the electric dust removal system is reduced, the ash conveying system still discharges dust according to a preset time sequence and a preset beat, the ash conveying performance of the ash conveying system is excessive, and the adaptive adjustment can not be carried out according to the actual situation no matter whether the valve control is carried out or the air compressor is used for carrying out energy loss of bin pump pressurization. Even if the working performance of the ash conveying system can be manually adjusted by related personnel, the adjustment range can be judged only through experience, and the probability of increasing the ash accumulation of the pipeline caused by excessive adjustment is easily caused. And when the dust deposition of the electric dust removal system is greatly increased, the dust conveying system cannot correspondingly improve the dust conveying performance of the dust conveying system in time, and the dust deposition of the pipeline is very easy to cause. Aiming at the problems that the current control mode is useless and has large power consumption and is easy to cause the dust accumulation of a pipeline, a novel cooperative control method of an electric dust removal system and a dust conveying system is required to be created.
Disclosure of Invention
The embodiment of the invention aims to provide a cooperative control method for an electric dust removal system and an ash conveying system and a cooperative control system for 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 generating unit is useless and has high power consumption and is easy to cause ash accumulation in a pipeline.
In order to achieve the above object, a first aspect of the present invention provides a method for cooperatively controlling an electric dust removal system and an ash conveying system, which is used for controlling the energy saving of the ash conveying system after the furnace of a thermal power generating unit, and the method includes: 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 a preset rule; if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is larger than the preset difference threshold, generating an optimization instruction; responding to the 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 value, an ash amount data model of the electric dust removal system, real-time operation parameters of the ash conveying 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 performing 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: the real-time feeding of the bin pump sets time and the 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 front-end flue gas of the electric precipitation system and the real-time boiler load of the thermal power generating unit.
Optionally, the simulating the real-time ash conveying 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 the preset rules includes: simulating the dust deposition performance according to the real-time operation parameters of the electric dust removal system; simulating ash conveying performance according to the real-time operation parameters of the ash conveying system; and calculating to obtain the simulated ash conveying material gas ratio of the thermal power generating unit according to the simulated ash deposition performance and the simulated ash conveying performance, wherein the calculation formula is as follows:
wherein F is the simulated ash conveying gas ratio; m is the simulated dust conveying capacity obtained according to the simulated dust deposition performance; and P is the simulated blowing air consumption obtained according to the simulated ash conveying performance.
Optionally, the optimization instruction includes 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 ratio and the preset ratio have a difference value and the difference value is greater than the preset difference value threshold, generating an optimization instruction, including: if the simulated ash conveying gas ratio is larger than the preset gas ratio threshold and the difference value between the simulated ash conveying gas ratio and the preset gas ratio threshold is larger than a preset difference value threshold, generating an ash conveying system performance improving instruction and/or an electric precipitation system performance reducing instruction; and if the simulated ash conveying ratio is smaller than the preset ratio threshold and the difference between the simulated ash conveying ratio and the preset ratio threshold is larger than the preset difference threshold, generating an ash conveying system performance reduction instruction and/or an electric precipitation system performance improvement instruction.
Optionally, the method further includes: the method for establishing the ash amount data model of the electric precipitation system comprises the following steps: adjusting the operation parameters of each high-voltage device of the electric precipitation system in real time according to a preset voltage setting rule; under the condition that the high-voltage equipment is determined to be in a normal working state, acquiring real-time dust deposition data of the high-voltage equipment; and calculating the real-time dust deposition performance of each dust hopper of each high-voltage device under different voltages according to the real-time dust deposition data of each high-voltage device, and establishing an ash amount data model of the electric dust removal system.
Optionally, the optimization scheme of the electric dust removal system and the optimization scheme of the ash transportation system are respectively generated according to the difference between the simulated ash transportation gas ratio and the preset gas ratio threshold, the ash volume data model of the electric dust removal system, the real-time operation parameters of the ash transportation system and the real-time operation parameters of the thermal power generating unit, and the optimization scheme includes: determining the optimized direction and the optimized amount of the electric dust removal system and the optimized direction and the optimized amount of the ash conveying system according to the difference value between the simulated ash conveying material-gas ratio and a preset material-gas ratio threshold value, and respectively generating an optimized scheme candidate set of the electric dust removal system and an optimized scheme candidate set of the ash conveying system; performing real-time operation parameter analysis on the electric dust removal system through the ash amount data model, and screening an optimization scheme intermediate set meeting the ash amount data model from an optimization scheme candidate set of the electric dust removal system; comparing the simulated power consumption of each optimization scheme in the middle of the optimization schemes of the ash amount data model, and selecting the optimization scheme with the minimum power consumption as the optimization scheme of the electric dust removal system; and screening an optimization scheme with the lowest simulation power consumption from the optimization scheme candidate set of the ash conveying system as the 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 precipitation 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 bin pump feeding.
The second aspect of the present invention provides a cooperative control system of an electric dust removal system and an ash conveying system, which is used for the energy-saving control of the ash conveying after the furnace of a thermal power generating unit, and the system comprises: the collecting unit is used for acquiring 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 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 a preset rule; if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is larger than the preset difference threshold, 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 conveying system according to the difference value between the simulated ash conveying gas ratio and the preset gas ratio threshold value, an 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; 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: the real-time feeding of the bin pump sets time and the 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 front-end flue gas of the electric precipitation system. The acquisition unit includes: the data acquisition module is used for acquiring real-time operation parameters of electric fields of the electric dust removal system, real-time feeding set time of the bin pump, real-time dust properties of smoke 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 hopper.
In another aspect, the present invention provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the above-mentioned method for cooperatively controlling an electric dust removal system and an ash conveying system.
Through the technical scheme, the operation parameters of the electric dust removal system and the ash conveying system are acquired in real time, the real-time ash conveying material gas ratio of the thermal power unit is acquired according to the operation parameters, the real-time dust removal performance of the thermal power unit is judged, the adjustment scheme of the electric dust removal system and the ash conveying system is correspondingly generated according to the difference value between the preset optimal ash conveying material gas ratio and the real-time ash conveying material gas ratio of the thermal power unit, the optimal ash conveying material gas ratio is realized through the cooperative fit 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 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, which are included to provide a further understanding of the 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 the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flowchart illustrating steps of a method for cooperatively controlling an electric dust removal system and an ash transport system according to an embodiment of the present invention;
FIG. 2 is a flow chart of an optimized scheme generation for an electric dust removal system and an ash transport 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 conveying system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a collecting unit of a cooperative control system of an electric dust removal system and an ash conveying system according to an embodiment of the present invention.
Description of the reference numerals
10-an acquisition unit; 20-a processing unit; 30-a decision unit; 40-an execution unit;
101-a data acquisition module; 102-an air flow sensor; 103-material level sensor.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
The ash conveying system is connected to the rear end of the electric dust removal system and used for discharging dust accumulated by the electric dust removal system. There are a plurality of dust removal nets among the electric dust pelletizing system, and each dust removal net is pressed from both sides in the centre by two dust collecting plate, has certain interval between dust removal net and the dust collecting plate, forms a plurality of three layer construction. Among the electric dust removal system is blown in to the flue gas, because the integrated board has different electric charge with the dust removal guipure for the electric field has between dust removal net and the dust collecting plate, makes the electrified back of dust granule through high-tension apparatus, when passing through the electric field, can be adsorbed on the dust collecting plate. After a certain amount of dust is adsorbed, the dust collecting plate is rapped through rapping equipment, so that the dust gathered on the dust collecting plate falls downwards and is gathered in a dust hopper below. In order to improve the dust deposition efficiency and facilitate dust discharge, a plurality of conical dust hoppers are arranged below the electric dust removal system, and each dust hopper is independently deposited with dust and corresponds to each high-voltage electric field. The ash conveying system has the effect that dust collected by the ash buckets is discharged through compressed gas, and a bin pump is arranged below each ash bucket and is a dust temporary storage box aiming at the design of the ash buckets. The 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, the 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. The dust is in the storehouse pump this moment, then pressurizes the storehouse pump, through the compressed air after the pressurization with the dust with in the air main pipe of presetting the pipeline emission, the dust that all storehouse pumps that the air main pipe will assemble compressed out is discharged in unified dust handles the storehouse.
In the traditional control method, the electric dust removal system and the ash conveying system are independently controlled, namely, the electric dust removal system only carries out adaptive dust removal electric field adjustment according to the smoke condition, and the ash conveying system also carries out regular dust discharge according to the preset time sequence and the beat. The control method can prevent the electric dust removal system and the dust conveying system from forming a linkage relation, and when the dust deposition amount of the electric dust removal system is reduced, the dust conveying system still discharges dust according to a preset time sequence and a preset beat, so that the dust conveying performance of the dust conveying system is excessive. No matter the valve control or the energy loss of the air compressor for bin pump pressurization, the adaptability adjustment can not be carried out according to the actual situation. Even if the working performance of the ash conveying system can be manually adjusted by related personnel, the adjustment range can be judged only through experience, and the probability of ash accumulation in a pipeline caused by excessive adjustment is easily caused. And when the dust deposition of the electric dust removal system is greatly increased, the dust conveying system cannot correspondingly improve the dust conveying performance of the dust conveying system in time, and the dust deposition of the pipeline is very easy to cause. Therefore, in order to reduce the problem of large energy loss caused by pipeline blockage and idle work, the cooperative control method of the electric dust removal system and the ash conveying system, which is provided by the invention, is a method for comprehensively obtaining the operating parameters of the electric dust removal system and the ash conveying system and carrying out linkage control on the electric dust removal system and the ash conveying system according to the actual conditions. The linkage control of the electric dust removal system and the ash conveying system is realized, and the energy loss is reduced as much as possible on the premise of ensuring no ash deposition. The following is a specific explanation by way of examples.
Fig. 3 is a system configuration diagram of a cooperative control system of an electric dust removal 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 removal system and an ash transport system, where the system includes: the collecting unit 10 is used for acquiring 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 a simulated ash conveying material-gas ratio of the ash conveying system through simulation 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; if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is larger than the preset difference threshold, generating an optimization instruction; the decision unit 30 is configured to respond to the optimization instruction, and respectively generate an optimization scheme of the electric dust removal system and an optimization scheme of the ash transport system according to a difference value between a simulated ash transport gas ratio and the preset gas ratio threshold value, an ash volume data model of the electric dust removal system, a real-time operation parameter of the ash transport system, and a real-time operation parameter of the thermal power generating unit; 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: the real-time feeding of the bin pump sets time and the 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 front-end flue gas of the electric precipitation 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 electric fields of the electric dust removal system, real-time feeding set time of the bin pump, real-time dust properties of smoke 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 main pipe; and the material level sensor 103 is used for acquiring the real-time material level height information of each ash hopper.
Fig. 1 is a flowchart of a method for cooperatively controlling an electric dust removal system and an ash transport system according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for cooperatively controlling an electric dust removal system and an ash transport 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, and whether the electric dust removal system and the ash conveying system need to be subjected to state optimization is determined according to whether the operation performance meets the optimal operation. For an electric dust removal system, the dust deposition performance is related to the electric field performance, theoretically, the larger the electric field strength is, the larger the adsorption force for dust is, but the dust amount in flue gas is limited, and the dust discharge amount in the discharge standard cannot be 0. Therefore, when the strength of the power plant is set, the relationship between the energy loss and the dust removal amount needs to be comprehensively considered. Namely, on the premise of ensuring the completion of the discharge standard, the electric field intensity is smaller, and the corresponding energy consumption is smaller. 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 needs to be obtained so as to judge the real-time electric field intensity. And aiming at the ash conveying system, the main reaction of the working performance of the ash conveying system is the air pressure when the dust is swept, namely the target pressure when the bin pump conveys the dust. Therefore, when the operation parameters of the dust conveying system are obtained, the target pressure of the corresponding bin pump for conveying dust needs to be obtained. In addition to the pressure information, the ash conveying cycle of the ash conveying system influences the ash conveying performance, that is, the feeding time set by a valve above the bin pump is longer, which means that the amount of dust in the ash hopper is smaller, the ash conveying cycle is longer, and the ash conveying performance of the whole system is lower. And the shorter the feeding time is, the shorter the ash conveying cycle is, the more the ash conveying times 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 real-time feed set-up time for the bin pump. As is known, the main fuel of coal-fired power plants is combustible coal, the types of coal are different, the loads of units are different, and the types and the content of dust in generated flue gas are different. The larger the dust particles, the higher the adsorption requirement for the electric field, and even the subsequent ash conveying system needs to be adaptively adjusted. That is, different loads and different coals will require different operational performance requirements of the electric dust removal system and the ash conveying system. Therefore, when the operation state is optimized, reference basis is needed according to the unit load and the smoke type.
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: operating parameters of electric fields of the electric dust removal system and material level height information of ash hoppers; the operation parameters of the ash conveying system comprise: the real-time feeding of the bin pump sets time and the air flow of the air main pipe; the real-time operation parameters of the thermal power generating unit comprise: and the boiler of the thermal power generating unit loads the dust property of the smoke at the front end of each electric precipitation system. Correspondingly, through the data acquisition module 101 of the acquisition unit 10, the thermal power unit is used for acquiring the operating 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 smoke at the front end of the electric dust removal system and the boiler load of the thermal power unit; acquiring the air flow of the air main pipe through an air flow sensor 102 of the acquisition unit 10; the level sensor 103 of the collecting unit 10 acquires the level height 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 a preset rule.
Specifically, after the collecting unit 10 obtains the operating parameters of the electric dust removing system and the ash conveying system, the processing unit 20 can obtain the ash deposition performance of the electric dust removing system according to the operating parameters of the electric dust removing system, and can also obtain the ash conveying capacity of the ash conveying system according to the operating parameters of the ash conveying system. In order to effectively reflect the ash conveying efficiency of the whole system, the ash conveying material gas ratio is introduced for efficiency evaluation. The concept of ash transport gas ratio is the ratio between the amount of dust and the amount of compressed gas. The larger the ratio, the larger the amount of dust transported by the same amount of compressed air, the higher the efficiency of dust transport. The smaller the ratio, the less the amount of dust carried in the same amount of compressed air, which means that most of the compressed air is wasted, the lower the dust conveying efficiency. Therefore, according to the above rules, the real-time ash 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 ratio; m is the real-time dust conveying capacity obtained according to the dust deposition performance; and P is the real-time blowing air consumption obtained according to the ash conveying performance.
Step S30: and if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is greater than the preset difference threshold, 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 conveying dust amount in the compressed gas representing the unit volume is. The lower the feed gas ratio, the smaller the amount of transported dust per unit of compressed gas. However, if the feed air ratio is infinitely increased, that is, the amount of dust per unit of compressed air is infinitely increased, the dust conveying amount limit corresponding to the amount of compressed air is always reached, and the dust conveying pipe is clogged. When the ratio of the material to the gas is infinitely reduced, the amount of dust in the 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, the dust is required to be conveyed orderly, and on the other hand, the compressed air is required to be used as much as possible, so that the 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 thermal power generating unit or each electrical power generating unit is obtained. Namely, aiming at each thermal power generating unit, the compressed air quantity with the lowest energy consumption is ensured on the premise of effectively conveying dust. The relation is used as the optimal ash conveying gas ratio of the corresponding thermal power generating unit, in order to avoid frequent adjustment of the system, preferably, the actual ash conveying gas ratio of the operating thermal power generating unit is subjected to quantitative fluctuation close to the optimal ash conveying gas ratio, and the system is subjected to optimal adjustment only when the fluctuation range is exceeded. Therefore, a difference threshold needs to be preset, and after the processing unit 20 obtains the ash conveying gas ratio of the thermal power generating unit, the actual ash conveying gas ratio is compared with the preset optimal ash conveying gas ratio to determine whether a difference exists. If the difference does not exist, the current system is in the optimal ash conveying efficiency state, the state adjustment is not needed, and the current state is kept to continue running. And if the difference value is judged to exist, comparing the difference value with a preset difference value threshold value, and if the difference value is judged to be larger than the preset difference value threshold value, judging that the current ash conveying system is not in the optimal state. When the ash conveying system is not in the optimal state, two conditions exist, the first is that the real-time ash conveying ratio is larger than the preset ratio threshold and the difference value is larger than the preset difference threshold, which 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 deposition performance of the electric dust removal system needs to be reduced. Secondly, the real-time ash conveying ratio is smaller than the preset ratio threshold and the difference is larger than the preset difference threshold, which indicates that the performance of the ash conveying system is excessive, and the running performance of the ash conveying system needs to be reduced, so that the ash deposition performance of the electric dust removing system is increased. In any case, the processing unit 20 determines that the thermal power system is not in the optimal ash conveying state and needs to perform system operation state adjustment, and generates a preset optimization instruction to start 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 conveying system according to the difference value between the simulated ash conveying material gas ratio and the preset material gas ratio threshold value, 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.
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 determines the optimization amount according to the difference between the real-time ash conveying gas ratio calculated by the processing unit 20 and the preset optimal ash conveying gas ratio, where the optimization amount and the difference are the same. And judging the optimization direction according to the size 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 removal system and/or the ash conveying system. Before this, need the deposition performance of a convenient electric precipitation system to judge the basis, in order to avoid all obtaining electric precipitation system's operating parameter when judging at every turn, carry out quantitative deposition performance calculation, improve the response rate of system, it is preferred, obtain electric precipitation system's ash volume data model in advance. Therefore, when generating the optimization scheme, specifically, as shown in fig. 2, the method includes the following steps:
step S401: and acquiring an ash amount data model of the electric precipitation system.
Specifically, the operating parameters of each high-voltage device of the electric dust removal system are adjusted according to a preset voltage setting rule; acquiring dust deposition data of each high-voltage device in real time under the normal working state of each high-voltage device; and calculating the dust deposition performance of each dust hopper of each high-voltage device under different voltages according to the dust deposition data of each high-voltage device, and obtaining an ash amount data model of the thermal power system. Firstly, according to different performances of each thermal power system, self-adaptive training of each thermal power system is carried out, the power supply voltage of each high-voltage device is sequentially adjusted within a normal voltage adjustment range, and the dust deposition performance under each power supply voltage value, namely the dust deposition amount in unit time, is obtained. After a group of data is obtained, a functional relation among the voltage value, the acquisition time and the dust deposition amount is established, and the adaptive training of the next group of voltage values 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 analogizing in turn to obtain a complete functional relation between the voltage value and the accumulated ash amount, and when the accumulated ash performance of the subsequent electric dust removal system is judged, the accumulated ash amount of each ash bucket can be obtained only according to the power supply voltage of the electric dust removal system.
In another possible embodiment, there is a difference in the opportunistic performance of the ash hoppers and the electric field locations because of the ash accumulation performance of the electric precipitation system. As the flue gas blows through the dust-collecting electric field, the dust content in the flue gas at the field inlet end is high, and the dust content in the flue gas at the field outlet end is low. Therefore, on the same electric field, the ash deposition at the frequent end is larger than that at the field outlet end, and the ash deposition per unit time of the ash bucket below the field inlet end is larger than that between the ash bucket units below the field outlet end. And the relationship expresses that the data amount possibly needing to be considered by the function is too much, so that the calculation time is prolonged. In another possible embodiment, therefore, the stepless regulation of the supply voltages is dispensed with, instead of a stepped regulation, i.e. the supply voltage step values are preset, 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 each step power supply voltage, then acquiring the corresponding relation between the stroke corresponding voltage value and the ash deposition amount, and forming a corresponding table after acquiring the ash deposition amounts corresponding to all step voltages. In the subsequent use process, the voltage of the current Gekko equipment is directly used for carrying out the matching in pairs from the preset table so as to obtain the corresponding ash bucket ash deposition amount and reduce the response time of the system.
Step S402: and respectively generating an optimization scheme of the electric dust removal system and an optimization scheme of the ash conveying system.
Specifically, the optimization direction and the optimization quantity of the electric dust removal system and the ash conveying system are determined according to the difference value between the real-time ash conveying material-gas ratio and a preset material-gas ratio threshold value; respectively 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 amount data model according to the running parameters of the electric precipitation system, and screening an optimization scheme intermediate set meeting the ash amount data model from the dust removal system optimization scheme candidate set; comparing the simulated power consumption of each optimization scheme in the optimization scheme middle set of the ash amount data model, and selecting the minimum power consumption optimization scheme as the optimization scheme of the electric precipitation system; and screening out an optimization scheme with the lowest simulation power consumption from the candidate set of the optimization scheme of the ash conveying system as the optimization 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. Generally speaking, the optimization basis of the electric dust removal system and the ash conveying system means that the energy loss of the state adjustment of the electric dust removal system and the ash conveying system is reduced as much as possible on the premise of ensuring the optimal ash conveying material-gas ratio.
The first embodiment is as follows:
the ash amount data model of the electric dust removal system represents the ash deposition amount of the ash bucket in unit time below each electric field, and if the ash deposition is guaranteed to be conveyed all the time, even if dust is always stored in the ash bucket, as long as the ash conveying amount of the ash conveying system in unit time is equal to the ash deposition amount of the electric dust removal system in unit time, a dynamic balance can be theoretically achieved. The ash quantity in the ash bucket is unchanged, but dust is continuously output in the ash conveying pipeline, and the accumulated ash of the electric dust removal system cannot cause the ash bucket to explode. Therefore, an operation mode of priority control according to an ash amount data model and a control mode of material level post-position are adopted. Namely, firstly, the ash hopper is ensured not to burst, and then the material level control of the ash hopper is considered.
Example two:
if the dust amount in the flue gas is small due to the small load of the thermal power generating unit or the coal quality condition, namely the current ash amount is small, and the ash level indicator of the ash bucket shows that the ash bucket has no problem of too high material level, the ash conveying performance requirement of the whole system is low at the moment. The feeding time of the bin pump is adjusted, namely the buffering time of the dust is prolonged, and the conveying frequency of the dust is reduced. When the pressure in the pipeline is high at the moment, the current dust conveying is difficult, the starting time of the bin pump valve is shortened, the dust conveying frequency is increased, and the condition of pipe blockage is avoided.
Example three:
when the performance of the current ash conveying system is judged to be excessive, the ash conveying system indicates that the gas consumption for ash conveying and purging is large, compressed gas is supplied through a bypass after dust conveying of a power plant is completed, the gas loss of a main pipe is reduced, and small gas amount purging is adopted. The use efficiency of the energy is improved, and the energy waste is reduced.
In the embodiment of the invention, according to the boiler load and ash amount data model, the minimum pipeline data operation is realized, 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 conservation.
Step S50: and executing the optimization scheme of the electric dust removal system and the optimization scheme of the ash conveying system, and performing 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 removal system and the ash transport system, respectively, and the execution unit 40 executes the operation state adjustment of the electric dust removal system and the ash transport system, respectively. The power supply voltage of the electric dust removal system is adjusted according to the optimization scheme, the opening time of a bin pump valve of the ash conveying system and the working performance of air pressure gas are adjusted according to the optimization scheme, so that the ash conveying gas ratio of the adjusted thermal power system returns to the fluctuation range of the preset optimal ash conveying gas ratio, and the energy loss is reduced.
In a possible implementation mode, a cooperative control system of electric dust removal and ash conveying systems is constructed in a certain thermal power generating unit, and after adaptive training and simulated operation are performed on the thermal power generating unit correspondingly, an actual comparison table for realizing ash conveying energy-saving operation or minimum pipeline data operation is obtained as shown in table one:
energy-saving operation of ash-conveying or minimum pipeline data operation
The embodiment of the invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer is enabled to execute the cooperative control method of the electric dust removal system and the ash conveying system.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications are within the scope of the embodiments of the present invention. It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention will not be described separately for the various possible combinations.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as disclosed in the embodiments of the present invention as long as it does not depart from the spirit of the embodiments of the present invention.
Claims (10)
1. A cooperative control method of an electric dust removal system and an ash conveying system is used for controlling the energy-saving of the ash conveying of a thermal power generating unit after the furnace, and is characterized by comprising the following steps:
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 a preset rule;
if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is larger than the preset difference threshold, generating an optimization instruction;
responding to the 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 value, an ash amount data model of the electric dust removal system, real-time operation parameters of the ash conveying 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 performing variable parameter adjustment on the electric dust removal system and the ash conveying system.
2. The cooperative control method according to claim 1, wherein the real-time operation parameters of the electric precipitation system comprise: 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: the real-time feeding of the bin pump sets time and the 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 front-end flue gas of the electric precipitation system and the real-time boiler load of the thermal power generating unit.
3. The cooperative control method according to claim 2, wherein the simulating a real-time ash conveying ratio of the ash conveying system according to the real-time operation parameters of the electric precipitation system, the real-time operation parameters of the ash conveying system and a preset rule comprises:
simulating the dust deposition performance according to the real-time operation parameters of the electric dust removal system;
simulating ash conveying performance according to the real-time operation parameters of the ash conveying system;
and calculating to obtain the simulated ash conveying material gas ratio of the thermal power generating unit according to the simulated ash deposition performance and the simulated ash conveying performance, wherein the calculation formula is as follows:
wherein F is the simulated ash conveying gas ratio;
m is the simulated dust conveying capacity obtained according to the simulated dust deposition performance;
and P is the simulated blowing air consumption obtained according to the simulated ash conveying performance.
4. The cooperative control method according to claim 1, wherein the optimization instruction includes an ash conveying system performance improvement instruction, an ash conveying system performance reduction instruction, an electric precipitation system performance improvement instruction, and an electric precipitation system performance reduction instruction;
if the simulated ash conveying ratio and the preset ratio have a difference value and the difference value is greater than the preset difference value threshold, generating an optimization instruction, including:
if the simulated ash conveying gas ratio is larger than the preset gas ratio threshold and the difference value between the simulated ash conveying gas ratio and the preset gas ratio threshold is larger than a preset difference value threshold, generating an ash conveying system performance improving instruction and/or an electric precipitation system performance reducing instruction;
and if the simulated ash conveying ratio is smaller than the preset ratio threshold and the difference between the simulated ash conveying ratio and the preset ratio threshold is larger than the preset difference threshold, generating an ash conveying system performance reduction instruction and/or an electric precipitation system performance improvement instruction.
5. The cooperative control method according to claim 1, characterized by further comprising:
the method for establishing the ash amount data model of the electric precipitation system comprises the following steps:
adjusting the operation parameters of each high-voltage device of the electric precipitation system in real time according to a preset voltage setting rule;
under the condition that the high-voltage equipment is determined to be in a normal working state, acquiring real-time dust deposition data of the high-voltage equipment;
and calculating the real-time dust deposition performance of each dust hopper of each high-voltage device under different voltages according to the real-time dust deposition data of each high-voltage device, and establishing an ash amount data model of the electric dust removal system.
6. The cooperative control method according to claim 5, wherein the generating the optimization scheme of the electric dust removal system and the optimization scheme of the ash transportation system according to the difference between the simulated ash transportation gas ratio and the preset gas ratio threshold, the ash amount data model of the electric dust removal system, the real-time operation parameters of the ash transportation system and the real-time operation parameters of the thermal power unit respectively comprises:
determining the optimized direction and the optimized amount of the electric dust removal system and the optimized direction and the optimized amount of the ash conveying system according to the difference value between the simulated ash conveying material-gas ratio and a preset material-gas ratio threshold value, and respectively generating an optimized scheme candidate set of the electric dust removal system and an optimized scheme candidate set of the ash conveying system;
performing real-time operation parameter analysis on the electric dust removal system through the ash amount data model, and screening an optimization scheme intermediate set meeting the ash amount data model from an optimization scheme candidate set of the electric dust removal system;
comparing the simulated power consumption of each optimization scheme in the middle of the optimization schemes of the ash amount data model, and selecting the optimization scheme with the minimum power consumption as the optimization scheme of the electric dust removal system;
and screening an optimization scheme with the lowest simulation power consumption from the optimization scheme candidate set of the ash conveying system as the 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.
7. The coordinated control method according to claim 1, wherein the variable parameters of the electric precipitation system comprise: the power supply voltage of each high-voltage device of the electric precipitation 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 bin pump feeding.
8. The utility model provides an electric precipitation system and defeated grey cooperative control system of system for defeated grey energy-saving control behind thermal power generating unit's the stove, its characterized in that, the system includes:
the collecting unit is used for acquiring 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 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 a preset rule; if the simulated ash conveying ratio and the preset ratio threshold have a difference value and the difference value is larger than the preset difference threshold, 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 conveying system according to the difference value between the simulated ash conveying gas ratio and the preset gas ratio threshold value, an 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;
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.
9. The coordinated control system of claim 8, wherein the real-time operation parameters of the electric precipitation system comprise: 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: the real-time feeding of the bin pump sets time and the 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 front-end flue gas of the electric precipitation system.
The acquisition unit includes:
the data acquisition module is used for acquiring real-time operation parameters of electric fields of the electric dust removal system, real-time feeding set time of the bin pump, real-time dust properties of smoke 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 hopper.
10. A computer-readable storage medium having instructions stored thereon, which when executed on a computer, cause the computer to perform the method of cooperative control of an electric precipitation system and an ash conveying system as claimed in any one of claims 1 to 7.
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