CN116224942A - Intelligent fuel system of thermal power plant - Google Patents
Intelligent fuel system of thermal power plant Download PDFInfo
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- CN116224942A CN116224942A CN202310236650.5A CN202310236650A CN116224942A CN 116224942 A CN116224942 A CN 116224942A CN 202310236650 A CN202310236650 A CN 202310236650A CN 116224942 A CN116224942 A CN 116224942A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses an intelligent fuel system of a thermal power plant, which comprises a coal quality analysis module, a coal full-flow monitoring module, a fuel value management module and a proportioning and blending module; the coal quality analysis module is used for analyzing the internal content of the coal quality before the coal is fed into the furnace and calculating the amount of other elements contained in the coal; the coal full-flow monitoring module is used for carrying out on-line monitoring and mutual correction on a coal feeding belt, a coal plough, a material level and a coal feeding device; the fuel value management module is used for calculating the optimal coal blending ratio and carrying out comprehensive calculation by combining factors affecting the coal combustion; the proportioning and blending module is used for comparing coal quality data after the fuel value management module calculates the optimal coal blending proportion; according to the invention, an optimal coal purchasing scheme, a coal stacking scheme, a coal feeding scheme and a coal blending scheme are automatically generated through optimizing calculation, and the fuel control system is guided to scientifically operate in real time through the integrated platform, so that the operating efficiency of the fuel system is improved.
Description
Technical Field
The invention belongs to the technical field of intelligent control, and particularly relates to an intelligent fuel system of a thermal power plant.
Background
Most of the thermal power plants use coal as fuel to generate electricity, a large amount of coal is consumed every day, especially for large-sized coal-fired power generator sets, the consumption of coal is thousands to tens of thousands of tons every day, and in order to ensure the normal operation of the power plants, the coal storage amount of about 15 days is required to be maintained, so that the coal storage amount of coal yards is huge, and tens of thousands to hundreds of thousands of tons are often caused. The coal supply of the thermal power plant has the characteristics of multiple supply channels and multiple coal types, and the coal-fired boiler has different requirements on the coal types in different operation stages, such as ignition, low-load operation, high-load operation and the like. On one hand, the coal yard has huge coal storage quantity, frequent daily storage and coal taking, and on the other hand, the coal is of various types and the requirements on the coal types are changeable, so that the management and operation of the coal yard on the coal become a difficult and complicated work.
The conventional coal yard is used for storing coal by stacking in different areas, namely, fixed coal types are stored in a certain area, and coal is taken from the fixed area according to the operation requirement. In the process of storing/taking coal, coal is stored in any area, and in the process of taking coal in any area, coal yard operators manually judge and operate according to the running condition of a generator set, the running management mode of the coal yard is rough, the requirements of modern thermal power plants on intelligent running cannot be met, particularly when more coal types are stored in the field and the newly-fed coal types are different from the various stored coal types, the problem of too much stacked coal piles is caused, and the problem of difficult management of the coal yard becomes more outstanding.
Under normal conditions, the coal types stored in a coal yard of a power plant are often more than 3-4, and along with the change of a coal supply market, the coal types obtained by the power plant can also be changed, and the requirements of a coal-fired unit on the coal types are different in different operation stages, such as a firing stage, the volatile components of the required coal are high, the coal types are easy to fire, so that the coal yard can be required to be adjusted at any time according to the operation condition of the unit, and the proper coal types are provided according to the operation condition. According to the above, the coals in the traditional coal yard are stacked in a partition mode, an operator can only take the coals according to the coal types stored in the place, and simply rely on temporary storage equipment in the coal conveying process of a silo, a coal ditch and the like to blend, so that the coal blending task matched with the operation working condition cannot be completed, and the requirements of economic and safe operation of a unit on the coal types are difficult to meet in many cases.
Disclosure of Invention
The invention aims to provide an intelligent fuel system of a thermal power plant, which automatically generates an optimal coal purchasing scheme, a coal piling scheme, a coal feeding scheme and a coal blending scheme through optimizing calculation, guides a fuel control system to scientifically operate in real time through an integrated platform, and improves the operation efficiency of the fuel system
In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent fuel system of a thermal power plant comprises a coal quality analysis module, a coal full-flow monitoring module, a fuel value management module and a proportioning and blending module;
the coal quality analysis module is used for analyzing the internal content of the coal quality before entering the furnace, calculating the quantity of other elements contained in the coal, classifying the different element coals, and respectively carrying out the labels 1-n;
the coal full-flow monitoring module is used for carrying out on-line monitoring and mutual correction on a coal feeding belt, a coal plough, a material level and a coal feeding device, so as to realize the monitoring of the whole processes of retention, transfer and supply of fuels with different coal qualities in a coal feeding and pulverizing system;
the fuel value management module is used for calculating the optimal coal blending ratio and carrying out comprehensive calculation by combining factors affecting coal combustion;
the ratio blending combustion module is used for comparing coal quality data after the fuel value management module calculates the optimal coal blending combustion proportion, and selecting blending combustion quality which is most in line with the optimal coal blending combustion proportion.
Preferably, the cut and dropped coal particles are subjected to X-ray spectrum analysis, the element components are analyzed under the X-ray spectrum, the ratio of the element quantity to the carbon element is calculated, the element content percentage is obtained, and the coals in each 2-3% belong to the same coal quality, and are marked.
Preferably, the coal full-flow monitoring module monitors the temperature of the coal feeding belt, the coal plough, the material level and the coal block on the coal feeding device in the whole process through the thermal imaging analyzer, monitors the internal temperature T of the combustion furnace through the thermal imaging analyzer, and obtains temperatures T1, T2 and T3.
Preferably, the temperature of each interval is compared with the temperature point of the middle interval, and particularly, the on-line correction of the coal quality of the furnace is carried out through the fast quantity such as the influence of the radiation heat dissipation of the fuel on the temperature of the middle point and the steady-state quantity of positive balance heat and sulfur.
Preferably, the factors affecting the combustion of coal include boiler design parameters, incoming coal information, power generation plans, load distribution, coal yard inventory, historical blending evaluations, and equipment operating conditions.
Preferably, the blending ratio calculation specifically includes firstly calculating the combustion heat W of the mixture formed by blending and burning each blending and burning the coal according to the information of the coming coal, then calculating the heat loss in the boiler combustion process by combining with the filter design parameters X1, X2 and the..Xn, secondly calculating the required heat consumption according to the power generation plan and the load distribution, and finally selecting the blending and burning medium which best meets the required heat by combining with the coal yard inventory, the historical blending evaluation and the equipment operation condition, wherein the heat loss is calculated as follows:
wherein the design parameters X1, X2,..xn comprise loss parameters for each of the devices involved in the coal combustion process, the values of which are well known to the devices.
Preferably, the proportioning and blending module combines parameter indexes of different blending materials and real-time cost of a thermal power plant to obtain blending materials of different burning heat and coal, and calculates blending ratio of different blending materials.
Preferably, the parameter indexes comprise calorific value, volatile matters, sulfur content, moisture, ash content, ash fusion and slagging property of the coal to be charged.
Compared with the prior art, the invention has the beneficial effects that:
1. the coal full-flow monitoring module realizes on-line monitoring of coal quality of the coal and full-flow soft monitoring of fuel from a coal feeding belt, a coal hopper to a coal feeder; the average error of the heat productivity, the carbon content and the sulfur content monitoring of the coal quality fed into the furnace in real time is less than 15 percent. In addition, the module can also improve the accuracy of coal consumption calculation, and simultaneously provide basic data for on-line operation analysis, combustion optimization adjustment, fuel management and the like of the unit.
2. The in-furnace coal quality analysis module can analyze the element content of the in-furnace coal blocks, is convenient for providing a theoretical basis for the subsequent coal combustion blending ratio, and provides various parts of coal blocks to establish an analysis library.
3. Based on the blending model of the blended coal, the most economical, most environment-friendly and comprehensive optimal blending scheme is generated on the basis of factors such as comprehensive boiler design parameters, coal information, power generation plans, load distribution, coal yard inventory, historical blending evaluation, equipment operation conditions and the like, so that the heat value of the fired coal has scientific standard data, quantitative management is achieved, and the best economic benefit is created.
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Fig. 1 is a schematic block diagram of a system connection of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a technical solution: an intelligent fuel system of a thermal power plant comprises a coal quality analysis module, a coal full-flow monitoring module, a fuel value management module and a proportioning and blending module;
the coal quality analysis module is used for analyzing the internal content of the coal quality before entering the furnace, calculating the quantity of other elements contained in the coal, classifying the different element coals, and respectively carrying out the labels 1-n;
the coal full-flow monitoring module is used for carrying out on-line monitoring and mutual correction on a coal feeding belt, a coal plough, a material level and a coal feeding device, so as to realize the monitoring of the whole processes of retention, transfer and supply of fuels with different coal qualities in a coal feeding and pulverizing system;
the fuel value management module is used for calculating the optimal coal blending ratio and carrying out comprehensive calculation by combining factors affecting coal combustion;
the ratio blending combustion module is used for comparing coal quality data after the fuel value management module calculates the optimal coal blending combustion proportion, and selecting blending combustion quality which is most in line with the optimal coal blending combustion proportion.
Specifically, the cut and dropped coal particles are subjected to X-spectrum analysis, the element components are analyzed under the X-spectrum, the ratio of the element quantity to the carbon element is calculated, the element content percentage is obtained, and the coals in each 2-3% belong to the same coal quality, and are marked.
Specifically, the whole flow monitoring module of coal monitors the temperature of coal feeding belt, coal plough, material level and coal block on the coal feeding device through the whole course of thermal imaging analyzer, adopts thermal imaging analyzer to monitor the internal temperature T of combustion furnace simultaneously, gets from each interval temperature T1 from top to bottom of combustion furnace, T2, T3..Tn, wherein the temperature mark in middle interval is Ti, and the middle interval is the temperature of combustion furnace symmetry point department.
Preferably, the temperature of each interval is compared with the temperature point of the middle interval, and particularly, the on-line correction of the coal quality of the furnace is carried out through the fast quantity such as the influence of the radiation heat dissipation of the fuel on the temperature of the middle point and the steady-state quantity of positive balance heat and sulfur.
In the embodiment, the on-line monitoring and mutual correction of the coal feeding belt, the coal plough, the material level and the coal feeding device are carried out by installing the on-line measuring device of the coal quality on the coal feeding belt, so that the monitoring of the whole processes of retention, transfer and supply of fuels with different coal qualities in the coal feeding and pulverizing systems is realized. On the basis, the on-line correction of the coal quality of the furnace is carried out by the fast quantity such as the influence of the radiation heat dissipation of the fuel on the temperature of the middle point and the steady-state quantity of positive balance heat and sulfur, thereby obtaining accurate monitoring of the coal quality of the furnace in real time and providing effective reference for the air distribution and fuel control of the unit combustion.
Realizing on-line monitoring of coal quality of the coal and full-flow soft monitoring from a coal feeding belt, a coal hopper to a coal feeder of the fuel; the average error of the heat productivity, the carbon content and the sulfur content monitoring of the coal quality fed into the furnace in real time is less than 15 percent. In addition, the module can also improve the accuracy of coal consumption calculation, and simultaneously provide basic data for on-line operation analysis, combustion optimization adjustment, fuel management and the like of the unit.
Specifically, the factors affecting the combustion of coal include boiler design parameters, incoming coal information, power generation plans, load distribution, coal yard inventory, historical blending evaluations, and equipment operating conditions.
In the above embodiment, the blending and burning of the blended coal is aimed at accurate calculation, lean implementation and fine management of the blending and burning of the fuel blending and burning, and the most economical, most environment-friendly and comprehensively optimal blending scheme is generated based on factors such as comprehensive boiler design parameters, coal information, power generation plan, load distribution, coal yard inventory, historical blending evaluation, equipment operation conditions and the like on the basis of a blending and burning model of the blended coal. A scientific and closed-loop coal consumption information management system is established to reversely guide the purchase and power generation operation of the coal by blending combustion, and the supporting capacity of the coal data on production and management decisions is improved. The fuel purchasing and the unit operation are combined, so that the heat value of the fire coal fed into the furnace has scientific standard data, the quantitative management is achieved, and the best economic benefit is created.
Specifically, the blending ratio calculation specifically comprises the steps of firstly calculating the combustion heat W of the mixture formed by blending and burning each blending and coal according to the information of the coming coal, then calculating the heat loss in the boiler combustion process by combining with the filter design parameters X1, X2 and the.
Wherein the design parameters X1, X2,..xn comprise loss parameters for each of the devices involved in the coal combustion process, the values of which are well known to the devices.
Specifically, the proportioning and blending module combines parameter indexes of different blending materials with real-time cost of a thermal power plant to obtain blending materials of different burning heat and coal, and simultaneously calculates blending ratios of different blending materials.
Specifically, the parameter indexes comprise calorific value, volatile matters, sulfur content, moisture, ash content, ash meltability and slagging property of the coal to be charged.
In thermal power generating units, the fuel cost is the largest, and for various reasons, the combustion is difficult to be carried out according to the designed coal types, and a coal blending combustion mode is generally adopted. The blending combustion of different coal types in different modes and proportions can influence the stability of boiler combustion, the efficiency of combustion state (slagging characteristic) and emission index, and has influence on the power consumption of auxiliary equipment such as coal mills, induced draft fans, ash treatment and the like, and the purchasing, transportation, coal yard stacking management and the like.
The intelligent online recognition method for main indexes such as the calorific value, the volatile matters, the sulfur content, the moisture, the ash content, the ash fusion property, the slagging property and the like of the coal in stock and the coal in the furnace is combined by the deep mining technology, an optimal coal blending and burning scheme under different loads is obtained through a real-time cost management system of a thermal power plant, the requirement relation between typical loads and coal quality is obtained, and meanwhile, the online effect evaluation of the coal blending and burning scheme is achieved. The module mainly provides professional advice and guidance for the whole process of coal blending and combustion prediction, coal purchasing, coal yard stacking, coal feeding and storage, furnace feeding and combustion blending, emission control and combustion blending evaluation of the power plant.
From the above description, the present invention has the following advantageous effects: and the optimal coal purchasing scheme, the optimal coal piling scheme, the optimal coal feeding scheme and the optimal coal blending scheme are automatically generated through optimizing calculation, and the fuel control system is guided to scientifically operate in real time through the integrated platform, so that the operating efficiency of the fuel system is improved.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely illustrative of the present invention and not restrictive, and other modifications and equivalents thereof may occur to those skilled in the art without departing from the spirit and scope of the present invention.
Claims (8)
1. An intelligent fuel system of a thermal power plant is characterized by comprising a coal quality analysis module, a coal full-flow monitoring module, a fuel value management module and a proportioning and blending module;
the coal quality analysis module is used for analyzing the internal content of the coal quality before entering the furnace, calculating the quantity of other elements contained in the coal, classifying the different element coals, and respectively carrying out the labels 1-n;
the coal full-flow monitoring module is used for carrying out on-line monitoring and mutual correction on a coal feeding belt, a coal plough, a material level and a coal feeding device, so as to realize the monitoring of the whole processes of retention, transfer and supply of fuels with different coal qualities in a coal feeding and pulverizing system;
the fuel value management module is used for calculating the optimal coal blending ratio and carrying out comprehensive calculation by combining factors affecting coal combustion;
the ratio blending combustion module is used for comparing coal quality data after the fuel value management module calculates the optimal coal blending combustion proportion, and selecting blending combustion quality which is most in line with the optimal coal blending combustion proportion.
2. The intelligent fuel system of the thermal power plant according to claim 1, wherein the coal quality analysis module is provided with cutting equipment at the furnace inlet, the coal at the furnace inlet is cut, the cut coal particles are subjected to X-spectrum analysis, the elemental components of the cut coal particles are analyzed under the X spectrum, the ratio of the elemental quantity to the carbon element is calculated, the elemental content percentage is obtained, and the coal in each 2-3% belongs to the same coal quality and is marked.
3. The intelligent fuel system of a thermal power plant according to claim 1, wherein the coal full-flow monitoring module monitors the temperatures of coal feeding belts, coal plows, material levels and coal blocks on a coal feeding device in the whole process through a thermal imaging analyzer, simultaneously monitors the internal temperature T of a combustion furnace through the thermal imaging analyzer, and obtains temperatures T1, T2 and T3.
4. The intelligent fuel system of the thermal power plant according to claim 3, wherein the temperature of each interval is compared with the temperature point of the middle interval, and particularly the in-furnace coal quality is corrected on line by the fast quantity such as the influence of the radiation heat dissipation of the fuel on the temperature of the middle point and the steady-state quantity of positive balance heat and sulfur.
5. The intelligent fuel system for a thermal power plant of claim 1, wherein the influencing coal combustion factors include boiler design parameters, incoming coal information, power generation plans, load distribution, coal yard inventory, historical blending evaluations, and equipment operating conditions.
6. The intelligent fuel system for a thermal power plant according to claim 5, wherein the blending ratio calculation specifically comprises firstly calculating the combustion heat W of a mixture formed by blending each blending material and coal according to the information of the coming coal, then calculating the heat loss in the boiler combustion process by combining with the filtering design parameters X1, X2 and..xn, secondly calculating the required heat consumption according to the power generation plan and the load distribution, and finally selecting the blending material which best meets the required heat by combining with the coal yard inventory, the historical blending evaluation and the equipment operation condition, wherein the heat loss is calculated as follows:
wherein the design parameters X1, X2,..xn comprise loss parameters for each of the devices involved in the coal combustion process, the values of which are well known to the devices.
7. The intelligent fuel system of the thermal power plant according to claim 1, wherein the proportioning and blending module combines parameter indexes of different blending materials and real-time cost of the thermal power plant to obtain blending materials of different combustion heat and coal, and calculates blending ratios of different blending materials.
8. The intelligent fuel system for a thermal power plant according to claim 7, wherein the parameter indicators comprise calorific value, volatile matter, sulfur content, moisture, ash content, ash fusion and slagging property of the coal being charged.
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