CN111506028A - Cluster type coal-fired scheduling system method for coal plant - Google Patents

Cluster type coal-fired scheduling system method for coal plant Download PDF

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Publication number
CN111506028A
CN111506028A CN202010247447.4A CN202010247447A CN111506028A CN 111506028 A CN111506028 A CN 111506028A CN 202010247447 A CN202010247447 A CN 202010247447A CN 111506028 A CN111506028 A CN 111506028A
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coal
information
blending
strategy
module
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黄国新
张炳海
耿秋莲
夏季
彭鹏
朱天宇
黎盛鸣
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Wuhan Huazhong Sineng Technology Co ltd
Changxing Power Plant Of Huaneng Power International Inc
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Wuhan Huazhong Sineng Technology Co ltd
Changxing Power Plant Of Huaneng Power International Inc
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • G05B19/41865Total 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32252Scheduling production, machining, job shop
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention provides a cluster coal factory fire coal scheduling system and method, the system includes: the coal coming information acquisition module is used for acquiring coal coming information of a coal factory; the square bin adding optimization module is used for generating a square bin adding strategy; the coal storage information module is used for acquiring and counting coal storage information of each square bin of the coal plant; the operation information acquisition module is used for acquiring operation information of the coal-fired generator set; the coal blending and burning module is used for generating a coal blending and burning strategy according to the unit operation information and the coal storage information; the raw coal bunker filling optimization module is used for generating a final raw coal bunker filling strategy based on the coal blending co-combustion strategy and updating coal storage information of all the parties; and the display output module is used for displaying the coal storage information, the bin adding strategy information and the coal blending combustion strategy information of all parties. By the scheme, the problems of low unit coal-fired efficiency and high power supply coal consumption in the conventional cluster type honeycomb briquette factory coal-fired scheduling are solved, the coal-fired efficiency of the generator set can be improved, the power supply coal consumption is reduced, and the economic benefit is guaranteed.

Description

Cluster type coal-fired scheduling system method for coal plant
Technical Field
The invention relates to the field of coal-fired power plant management, in particular to a cluster coal-fired scheduling system and method for a coal-fired plant.
Background
Compared with the traditional strip coal plants and circular coal plants, the honeycomb type cluster coal burning bunker has the advantages of small occupied area, high site utilization rate, capability of effectively reducing coal blockage, avoiding environment pollution caused by coal dust escape in the bunker and the like, and has important significance for full-automatic operation of coal-fired power generation, accurate coal distribution, pollution reduction and the like on the basis of cluster honeycomb full-closed coal storage and coal conveying.
In order to facilitate the coal plant to adapt to the automation requirement, the advantages of the square bunker for coal blending of the power plant are exerted, and the coal needs to be reasonably scheduled, however, the coal scheduling of the square bunker of the current coal plant is easy to cause low coal efficiency and large coal consumption of a power generating set due to the complex data and disordered management of various types of data. Therefore, there is a need for a system and a method for dispatching coal in a coal yard to reduce the fuel cost of the coal yard and improve the economic efficiency.
Disclosure of Invention
In view of this, the embodiment of the invention provides a clustered coal plant fire coal scheduling system and method, so as to solve the problems of low unit fire coal efficiency and large power supply coal consumption of the existing fire coal scheduling method.
In a first aspect of the embodiments of the present invention, a coal-fired scheduling system for a cluster coal plant is provided, which includes a coal information collection module, a square bunker feeding optimization module, a coal storage information module, an operation information collection module, a coal blending combustion module, a raw coal bunker feeding optimization module, and a display output module,
the coal information acquisition module is used for acquiring coal information of a coal factory and sending the coal information to the warehousing optimization module;
the square bin adding optimization module is used for generating a square bin adding strategy and sending the information of the square bin adding strategy to the coal storage information module;
the coal storage information module is used for acquiring and counting coal storage information of each square bin of the coal plant and sending the coal storage information to the coal blending and burning module;
the operation information acquisition module is used for acquiring operation information of the coal-fired generator set and sending the operation information of the generator set to the coal blending and co-combustion module;
the coal blending and burning module is used for generating a coal blending and burning strategy according to the unit operation information and the coal storage information and sending the coal blending and burning strategy to the raw coal bunker feeding optimization module;
the raw coal bunker filling optimization module is used for generating a final raw coal bunker filling strategy based on the coal blending co-combustion strategy and sending the final raw coal bunker filling strategy to the coal storage information module so as to update coal storage information of all the coal bunkers;
and the display output module is used for displaying all the coal storage information, the bin adding strategy information and the coal blending strategy information.
In a second aspect of the embodiments of the present invention, there is provided a method for scheduling coal in a cluster coal plant, including:
s1, collecting coal information from a power plant, and storing each specific coal type to one or more square bins according to the coal information;
s2, acquiring the binning information of coal types corresponding to each bin, and determining the coal storage information of each bin;
s3, collecting the operation information of each coal-fired generator set;
s4, generating a coal blending and burning strategy according to the unit operation information and the square storage coal information;
s5, generating a final raw coal bunker adding strategy based on the coal blending co-combustion strategy, and updating coal storage information of all bunkers;
and S6, displaying and outputting coal storage information, coal bunker filling strategy information and coal blending and burning information of all parties.
In the embodiment of the invention, the coal-fired dispatching system of the cluster coal plant is used for collecting the coal information from the power plant and storing each specific coal type to one or more square bins according to the coal information; acquiring the bin adding information of coal types corresponding to all the bins, and determining the coal storage information of all the bins; collecting operation information of each coal-fired generator set; generating a coal blending and burning strategy according to the unit operation information and the square storage coal information; generating a final raw coal bunker feeding strategy according to the coal blending and blending strategy, updating coal storage information of all the bunkers, displaying and outputting related information, realizing reasonable coal-fired scheduling, facilitating optimization and optimization adjustment, effectively improving the coal-fired efficiency of a unit, reducing the coal consumption of power supply, and simultaneously having the following beneficial effects:
the totally-enclosed structure based on the cluster type honeycomb briquette yard can not be influenced by climatic conditions, and has more square bins and high automation degree. Different coal types can be stored in different square bins, and coal quality management of a coal yard is enhanced. Meanwhile, the coal mixing efficiency of the square bin can be further improved, the flexibility of mixed coal blending combustion of the unit is improved, and the coal consumption of the unit is reduced.
The coal blending advantage and the coal storage advantage of the cluster type honeycomb briquette yard can be effectively released through effective coal yard scheduling, the optimal coal blending scheme and the optimal coal adding scheme are automatically calculated according to the coal storage condition of the square bunker, the coal blending constraint condition, the optimization target and other information of the coal-fired generator set, the workload of operators is greatly reduced, and the intelligence of the system is improved.
By maximally and reasonably co-firing low-price coal types, an optimal coal blending strategy is provided, cost is refined and optimized, the fuel cost of a coal-fired power plant is reduced, and the economic benefit of the whole plant is improved; and provides an optimized operation suggestion in a mixed combustion state, thereby ensuring the safety of mixed combustion of the boiler and ensuring that the emission reaches the standard.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a coal-fired scheduling system of a clustered coal plant according to an embodiment of the present invention;
FIG. 2 is a process flow diagram of a honeycomb briquette yard coal conveying system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of coal blending information provided by an embodiment of the present invention;
fig. 4 is a schematic flow chart of a coal scheduling method for a clustered coal plant according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprises" and "comprising," when used in this specification and claims, and in the accompanying drawings and figures, are intended to cover non-exclusive inclusions, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a coal-fired scheduling system of a clustered coal plant according to an embodiment of the present invention, including:
the coal information acquisition module 110 is used for acquiring coal information from a coal plant and sending the coal information to the bunker adding optimization module;
the coal yard is a honeycomb type cluster closed coal storage bin, and the whole bin body consists of a plurality of small coal bins with regular hexagonal reinforced concrete honeycomb structures, is arranged in a multi-row cluster manner and is in the same cylinder shape;
the square bunker is a honeycomb type cluster closed coal storage bunker (the coal yard can be provided with a plurality of square bunkers) and is used for storing the coal coming from the coal-fired power plant and conveying the coal to the raw coal bunker according to the dispatching of the coal yard; the raw coal bin is a coal mill fuel feeding bin of the coal-fired unit.
The coming coal information comprises coal quality information and coal quantity information of coming coal of a power plant, wherein the coal quality information is coal heat value, sulfur content, volatile component and moisture content information, and the coal quantity information is coming coal weight information of a certain coal type (coal quality). Optionally, the coal information can be obtained through a factory-entering sampling device, the coal quantity information can be obtained through weighing of a ship unloader, and the coal weight can be accurately distributed to all the bins through an electronic belt scale.
In one embodiment, the honeycomb type cluster closed coal bunker has a coal bunker length of 208.35m, a width of 60.45m, a coal bunker top height of about 45m, and an entire bunker body consisting of 48 small coal bunkers with regular hexagonal reinforced concrete honeycomb structures, which are arranged in 4 rows of clusters (12 in each row), and are shaped like a cylinder, the single bunker has a storage capacity of about 4000t, can store about 2.0 × 105t of coal at maximum, and can ensure a coal consumption of 2 660MW units for 15 days.
The square bin warehousing optimization module 120 is configured to generate a square bin warehousing strategy and send information of the square bin warehousing strategy to the coal storage information module;
preferably, in the binning strategy, specific coal types are stored in one or more square bins, different coal types are stored in different square bins, and binning is preferentially performed to a square bin with empty bin space.
The bunker adding strategy information at least comprises bunker adding coal quality information, bunker adding coal quantity information and corresponding square bunker numbers.
The coal storage information module 130 is configured to obtain and count coal storage information of each square bunker of the coal plant, and send the coal storage information to the coal blending co-combustion module;
the coal storage information at least comprises coal quality information and coal quantity information, wherein the coal quality information comprises a fire coal heat value, a sulfur component, a volatile component, moisture information and coal price information, and the coal quantity information comprises coal storage weight information of each fire coal.
The operation information acquisition module 140 is used for acquiring operation information of the coal-fired generator set and sending the operation information of the generator set to the coal blending and co-combustion module;
the unit operation information at least comprises boiler operation information and pollutant emission information, wherein the boiler operation information comprises unit load, coal quality blended with a combustor and coal supply amount, and the pollutant emission information comprises NOx and SO2And dust concentration emission information.
The coal blending and burning module 150 is used for generating a coal blending and burning strategy according to the unit operation information and the coal storage information, and sending the coal blending and burning strategy to the bin adding adjustment module;
the method comprises the steps of acquiring operation information of a coal-fired generator according to an operation information acquisition module, providing a unit coal blending optimization strategy, namely a coal feeding strategy of each coal mill, including coal quality and coal quantity of fed coal, and transmitting coal blending decision information to a bunker adding adjustment module.
Preferably, the optimal coal blending scheme of the coal bunker and the optimal coal blending scheme of the sub-bunker are calculated according to the coal storage information of each bunker, the coal blending constraint condition of the unit and a preset optimization target, and a loading instruction is sent to a coal blending control system to achieve automatic coal blending.
Specifically, the coal blending optimization strategy can be generated by the following steps:
(1) and (5) determining coal blending boundaries. After the discussion of the leaders of the power plants and professional technicians, boundary conditions of coal blending and coal feeding priority rules are obtained and input into a coal blending module of a scheduling system;
(2) and (5) calculating coal blending. According to the coal storage condition of a coal yard, the coal storage condition in a coal bunker, and the coal blending constraint condition and the optimization target (generally, the coal cost is the lowest) of a unit, the optimal coal blending scheme of the coal bunker and the coal blending scheme of a sub-bunker are automatically calculated, and a loading instruction is sent to a coal blending control system to realize automatic coal blending.
Illustratively, the comprehensive coal quality information of the coal blending boundary is the mixed coal weight weighted coal quality information after the raw coal bunker is loaded. Taking the calorific value (calorific value) of the coal as an example, suppose that the coal mixture has n, and the calorific value in the coal quality information of the ith coal is QiSulfur is SiVolatile matter is ViAsh content of AiWater content of MiCoal value of PiThe amount of mixed coal is miThen, there are:
comprehensive calorific value Q of mixed coalSynthesis of=∑(mi×Qi)/∑mi
Comprehensive sulfur content S of coal mixtureSynthesis of=∑(mi×Si)/∑mi
Comprehensive volatile component V of coal mixtureSynthesis of=∑(mi×Vi)/∑mi
Comprehensive ash content A of mixed coalSynthesis of=∑(mi×Ai)/∑mi
Comprehensive moisture M of mixed coalSynthesis of=∑(mi×Mi)/∑mi
And the objective function is the comprehensive coal-fired cost C of each coal milltotalAt the lowest, i.e.
min Ctotal=∑mi×Pii is 1,2, … n, n is the number of coal mills
The boundary conditions are as follows:
4500=Qlower boundary≤QSynthesis of≤QUpper boundary=5500
0=SLower boundary≤SSynthesis of≤SUpper boundary=10
23=VLower boundary≤VSynthesis of≤VUpper boundary=35
18=ALower boundary≤ASynthesis of≤AUpper boundary=35
0=MLower boundary≤MSynthesis of≤MUpper boundary=30
The raw coal bunker filling strategy recommended by the scheduling system is shown in fig. 3.
The raw coal bunker filling optimization module 160 is configured to generate a final raw coal bunker filling strategy based on the coal blending co-firing strategy, and send the final raw coal bunker filling strategy to the coal storage information module to update the coal storage information of each party;
generating a final raw coal bunker filling strategy by referring to the raw coal bunker filling strategy or the custom raw coal bunker filling strategy, transmitting the final raw coal bunker filling information to a square bunker coal information module, and updating the square bunker coal information
And the display output module 170 is used for displaying the coal storage information, the bin adding strategy information and the coal blending combustion strategy information of all parties.
Compared with the traditional coal scheduling method, the system provided by the embodiment can effectively improve the coal-fired efficiency of the unit, reduce the coal consumption of power generation and guarantee the economic efficiency.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, but should not constitute any limitation to the implementation process of the embodiments of the present invention,
fig. 4 is a schematic flow chart of a coal scheduling method for a clustered coal plant according to an embodiment of the present invention, where the flow chart includes:
s401, collecting coal information from a power plant, and storing each specific coal type to one or more square bins according to the coal information;
the incoming coal information at least comprises coal quality information and coal quantity information, the coal quality information comprises the heat value, sulfur content, volatile content and moisture content information of the fire coal, and the coal quantity information comprises the incoming coal weight information of each fire coal.
According to the dispatching system of the cluster type honeycomb briquette electric field, a certain specific coal type of coal from a power plant can be stored in one or more square bins.
S402, acquiring the bin adding information of coal types corresponding to all the bins, and determining the coal storage information of all the bins;
the coal storage information is coal quality information and coal quantity information of coal stored in a square bin, wherein the coal quality information is coal heat value, sulfur content, volatile component, moisture content information and coal price information, and the coal quantity information is coal weight information in the square bin.
S403, collecting operation information of each coal-fired generator set;
the operation information of the coal-fired generator set is boiler operation information and pollutant emission information of each unit of the coal-fired power plant, wherein the boiler operation information comprises unit load, coal blending quality and coal feeding amount of each combustor (coal mill), and the coal blending quality comprises heat value, volatile component, sulfur component and moisture information of the coal; the pollutant emission information comprises NOx and SO2And dust concentration emission information.
S404, generating a coal blending and burning strategy according to the unit operation information and the square storage coal information;
specifically, the optimal coal blending scheme of the coal bunker and the coal blending scheme of the sub-bunker are automatically calculated by combining the unit operation information, the coal storage information of the coal yard, the coal storage condition in the coal bunker and the coal blending constraint condition and the optimization target of the unit, and a loading instruction is sent to a coal blending control system to realize automatic coal blending. The method comprises the following two steps:
determining coal blending boundaries, namely determining boundary conditions and coal feeding priority rules of coal blending by power plant leaders and professional technicians, and inputting the boundary conditions and the coal feeding priority rules into a coal blending module of a scheduling system;
and (4) coal blending calculation, namely automatically calculating an optimal coal blending scheme of the coal bunker and a coal blending scheme of a sub-bunker according to the coal storage condition in the coal bunker, the coal blending constraint condition of a unit and an optimization target (generally, the coal cost is the lowest), and sending a loading instruction to a coal blending control system to realize automatic coal blending.
And generating a unit coal blending combustion optimization strategy based on the steps, namely a raw coal bunker adding strategy, including the coal quality and the coal quantity.
S405, generating a final raw coal bunker adding strategy based on the coal blending and co-firing strategy, and updating coal storage information of all bunkers;
and generating a final raw coal bunker strategy by referring to the provided raw coal bunker feeding strategy or a user-defined raw coal bunker feeding strategy, transmitting the bunker feeding information to the square bunker coal information module, and updating the square bunker coal information.
And S406, displaying and outputting coal storage information, coal bunker filling strategy information and coal blending and burning information of all parties.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
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 to instruct associated hardware, where the program may be stored in a computer-readable storage medium, and when executed, the program includes steps S401 to S406, where the storage medium includes, for example: ROM/RAM, magnetic disk, optical disk, etc.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A cluster coal-fired dispatching system for a coal plant is characterized by comprising a coal information acquisition module, a square bunker feeding optimization module, a coal storage information module, an operation information acquisition module, a coal blending and blending module, a raw coal bunker feeding optimization module and a display output module, wherein,
the coal information acquisition module is used for acquiring coal information of a coal factory and sending the coal information to the warehousing optimization module;
the square bin adding optimization module is used for generating a square bin adding strategy and sending the information of the square bin adding strategy to the coal storage information module;
the coal storage information module is used for acquiring and counting coal storage information of each square bin of the coal plant and sending the coal storage information to the coal blending and burning module;
the operation information acquisition module is used for acquiring operation information of the coal-fired generator set and sending the operation information of the generator set to the coal blending and co-combustion module;
the coal blending and burning module is used for generating a coal blending and burning strategy according to the unit operation information and the coal storage information and sending the coal blending and burning strategy to the raw coal bunker feeding optimization module;
the raw coal bunker filling optimization module is used for generating a final raw coal bunker filling strategy based on the coal blending co-combustion strategy and sending the final raw coal bunker filling strategy to the coal storage information module so as to update coal storage information of all the coal bunkers;
and the display output module is used for displaying all the coal storage information, the bin adding strategy information and the coal blending strategy information.
2. The method of claim 1, wherein the incoming coal information comprises at least coal quality information and coal quantity information, wherein the coal quality information comprises coal heating value, sulfur content, volatile content and moisture content information, and the coal quantity information comprises incoming coal weight information of each coal.
3. The system of claim 1, wherein the generating a square-bin binning strategy comprises:
storing specific coal types into one or more square bins, storing different coal types into different square bins, and preferentially adding the coal types into the square bins with empty bin positions.
4. The system of claim 1, wherein the square bin binning strategy information comprises at least binning coal quality information, binning coal quantity information, and corresponding square bin numbers.
5. The system of claim 1, wherein the coal storage information comprises at least coal quality information and coal quantity information, wherein the coal quality information comprises a coal calorific value, a sulfur content, a volatile content, a moisture content, and coal price information, and the coal quantity information comprises coal storage weight information of each coal.
6. The system of claim 1, wherein the unit operation information comprises at least boiler operation information and pollutant emission information, wherein the boiler operation information comprises unit load, burner coal blending, and coal supply, and the pollutant emission information comprises NOx, SO2And dust concentration emission information.
7. The system according to claim 1, wherein the generating of the coal blending and burning strategy according to the unit operation information and the coal storage information specifically comprises:
and calculating an optimal raw coal bunker coal blending scheme and a sub-bunker coal blending scheme according to the coal storage information of each bunker, the coal blending constraint conditions of the unit and a preset optimization target, and sending a loading instruction to a coal blending control system to realize automatic coal blending.
8. A method for dispatching fire coal of a cluster type coal plant is characterized by comprising the following steps:
s1, collecting coal information from a power plant, and storing each specific coal type to one or more square bins according to the coal information;
s2, acquiring the binning information of coal types corresponding to each bin, and determining the coal storage information of each bin;
s3, collecting the operation information of each coal-fired generator set;
s4, generating a coal blending and burning strategy according to the unit operation information and the square storage coal information;
s5, generating a final raw coal bunker adding strategy based on the coal blending co-combustion strategy, and updating coal storage information of all bunkers;
and S6, displaying and outputting coal storage information, coal bunker filling strategy information and coal blending and burning information of all parties.
9. The method of claim 8, wherein obtaining the binning information for each bin for a coal type further comprises:
storing specific coal types into one or more square bins, storing different coal types into different square bins, and preferentially adding the coal types into the square bins with empty bin positions.
10. The method according to claim 1, wherein the generating of the coal blending and burning strategy according to the unit operation information and the coal storage information specifically comprises:
and calculating an optimal coal blending scheme of the coal bunker and a coal blending scheme of a sub-bunker according to the coal storage information of each bunker, the coal blending constraint condition of the unit and a preset optimization target, and sending a loading instruction to a coal blending control system to realize automatic coal blending.
CN202010247447.4A 2020-03-31 2020-03-31 Cluster type coal-fired scheduling system method for coal plant Pending CN111506028A (en)

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CN113205255A (en) * 2021-04-30 2021-08-03 华润电力技术研究院有限公司 Thermal power plant coal blending bunker loading method, device and equipment
CN114890162A (en) * 2022-06-07 2022-08-12 华润电力技术研究院有限公司 Coal blending method, coal blending equipment and computer readable storage medium

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112446547A (en) * 2020-12-03 2021-03-05 华润电力技术研究院有限公司 Method, device and equipment for loading fire coal in raw coal bunker and readable storage medium
CN112833420A (en) * 2020-12-17 2021-05-25 华能莱芜发电有限公司 Automatic coal feeding optimization system and method
CN112833420B (en) * 2020-12-17 2022-04-08 华能莱芜发电有限公司 Automatic coal feeding optimization system and method
CN113205255A (en) * 2021-04-30 2021-08-03 华润电力技术研究院有限公司 Thermal power plant coal blending bunker loading method, device and equipment
CN114890162A (en) * 2022-06-07 2022-08-12 华润电力技术研究院有限公司 Coal blending method, coal blending equipment and computer readable storage medium

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Application publication date: 20200807