Intelligent combustion adjustment method, device and equipment and storage medium
By obtaining and updating the combustion adjustment strategy, combining power plant cost and output power parameters, the opening of the thermal power unit air valves is adjusted in real time, which solves the problem of low combustion adjustment accuracy in thermal power plants, and achieves efficient combustion adjustment and economic benefits.
Patent Information
- Application Number
- CN202510684168.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-26
- Publication Date
- 2025-07-11
AI Technical Summary
In the prior art, the combustion adjustment plan of thermal power plants is not very accurate, which affects the profits of the power plants.
By obtaining the power purchase cost, operation and maintenance cost, storage cost and power plant output power parameters in the current period, the initial combustion adjustment strategy is updated, and the target combustion adjustment strategy is updated in real time according to the power plant output power parameters and intraday cost optimization constraints, and the opening of the air valve in the thermal power unit is adjusted.
Refined combustion adjustments have been achieved, reducing carbon emissions and improving economic returns, avoiding the problem of low accuracy of combustion adjustment plans.
Smart Images
Figure CN120292529A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of thermal power generation, and particularly to an intelligent combustion adjustment method, device, equipment and storage medium. Background Art
[0002] A large amount of carbon emissions are generated during the thermal power generation process. With the gradual advancement of China's energy low-carbon transformation, thermal power generation is not necessarily the more the better. There are differences in the power generation costs and trading quotes in different periods. Excessive power generation will bring additional storage costs, and too little power generation will affect the power plant's revenue. In traditional technologies, there is no control scheme for combustion adjustment in thermal power plants at each time period, and the power generation fineness is not good, resulting in average revenue. Therefore, how to adjust the combustion state of the combustion chamber at each time period, so as to adjust the power generation at each time period and improve the power plant's revenue is an urgent problem to be solved.
[0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention
[0004] The main object of the present invention is to provide an intelligent combustion adjustment method, device, equipment and storage medium, aiming to solve the technical problem that the combustion adjustment scheme for thermal power generation in thermal power plants in the prior art has low accuracy and affects the power plant's revenue.
[0005] To achieve the above object, the present invention provides an intelligent combustion adjustment method, and the method includes the following steps:
[0006] Obtain the power purchase cost, operation and maintenance cost, storage cost, transaction cost and power plant output power parameter within the current time period;
[0007] Update the initial combustion adjustment strategy according to the power purchase cost, operation and maintenance cost, storage cost and transaction cost, and generate an intermediate combustion adjustment strategy for the next time period;
[0008] Perform real-time update on the intermediate combustion adjustment strategy according to the power plant output power parameter and the intra-day cost optimization constraint condition, and obtain a target combustion adjustment strategy, where the intra-day cost optimization constraint condition is determined by the power purchase cost, operation and maintenance cost, storage cost and transaction cost within the current time period;
[0009] Adjust the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy.
[0010] Optionally, before updating the initial combustion adjustment strategy according to the power purchase cost, operation and maintenance cost, storage cost and transaction cost to generate an intermediate combustion adjustment strategy for the next time period, it further includes:
[0011] Obtain the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost within the historical year-on-year period, and the combustion output power of the thermal power unit.
[0012] Generate an initial combustion adjustment strategy based on the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and the combustion output power of the thermal power unit.
[0013] Optionally, before obtaining the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost within the historical year-on-year period, and the combustion output power of the thermal power unit, it further includes:
[0014] Obtain the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost within the historical year-on-year period, and the historical fuel data of the thermal power plant. The historical fuel data at least includes: historical thermal power generation efficiency, fuel volume participating in combustion in each time period, fuel calorific value, and thermoelectric conversion ratio.
[0015] Generate the combustion output power of the thermal power unit based on the historical thermal power generation efficiency, fuel volume participating in combustion in each time period, fuel calorific value, and thermoelectric conversion ratio.
[0016] Optionally, the generating the combustion output power of the thermal power unit based on the historical thermal power generation efficiency, fuel volume participating in combustion in each time period, fuel calorific value, and thermoelectric conversion ratio includes:
[0017] Generate the initial combustion output power of the thermal power unit based on the historical thermal power generation efficiency, fuel volume participating in combustion in each time period, fuel calorific value, and thermoelectric conversion ratio.
[0018] Obtain the oxygen production energy consumption of the air separation oxygen production device and the oxygen production volume in each time period, as well as the carbon capture energy consumption of the carbon capture and compression purification device and the carbon capture mass in each time period.
[0019] Calculate the comprehensive oxygen production power of the air separation oxygen production device according to the oxygen production energy consumption and the oxygen production volume in each time period.
[0020] Calculate the comprehensive carbon capture power of the carbon capture and purification device according to the carbon capture energy consumption and the carbon capture mass in each time period.
[0021] Obtain the combustion output power based on the comprehensive oxygen production power, comprehensive carbon capture power, and initial combustion output power.
[0022] Optionally, the updating the initial combustion adjustment strategy according to the power purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate the intermediate combustion adjustment strategy for the next time period includes:
[0023] Divide the daily combustion adjustment time period according to the first time scale.
[0024] Obtain the target period cost data at the current moment from the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost;
[0025] Perform cost prediction according to the target period cost data through the trained cost optimization model to obtain the optimized cost data within the current period;
[0026] Update the initial combustion adjustment strategy according to the optimized cost data to generate the intermediate combustion adjustment strategy for the next period.
[0027] Optionally, the real-time update of the intermediate combustion adjustment strategy according to the power plant output power parameter and the intraday cost optimization constraint condition includes:
[0028] Divide the target period where the current moment is located according to the second time scale to determine the real-time period;
[0029] Calculate the real-time power plant output power parameter of the real-time period;
[0030] Real-time update the intermediate combustion adjustment strategy according to the intraday cost optimization constraint condition and the real-time power plant output power parameter through the real-time scheduling model to determine the target combustion adjustment strategy for the next period adjacent to the real-time period within the target period.
[0031] In addition, to achieve the above object, the present invention also proposes an intelligent combustion adjustment device, and the intelligent combustion adjustment device includes:
[0032] An acquisition module, configured to acquire the electricity purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameter within the current period;
[0033] A primary update module, configured to update the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate the intermediate combustion adjustment strategy for the next period;
[0034] A secondary update module, configured to perform real-time update on the intermediate combustion adjustment strategy according to the power plant output power parameter and the intraday cost optimization constraint condition to obtain the target combustion adjustment strategy, and the intraday cost optimization constraint condition is determined by the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost within the current period;
[0035] An adjustment module, configured to adjust the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy.
[0036] In addition, to achieve the above object, the present invention further provides an intelligent combustion adjustment device, which includes: a memory, a processor, and an intelligent combustion adjustment program stored on the memory and executable on the processor, and the intelligent combustion adjustment program is configured to implement the steps of the intelligent combustion adjustment method as described above.
[0037] In addition, to achieve the above object, the present invention further provides a storage medium, on which an intelligent combustion adjustment program is stored, and when the intelligent combustion adjustment program is executed by a processor, it implements the steps of the intelligent combustion adjustment method as described above.
[0038] In addition, to achieve the above object, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the intelligent combustion adjustment method as described above.
[0039] The present invention obtains the electricity purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameters within the current period; updates the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate the intermediate combustion adjustment strategy for the next period; performs real-time update on the intermediate combustion adjustment strategy according to the power plant output power parameters and the intraday cost optimization constraint conditions to obtain the target combustion adjustment strategy; adjusts the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy, realizes real-time update of the combustion adjustment strategy for each period, and then efficiently adjusts the opening degree of the air valve in the thermal power unit, reducing the carbon emission amount while also improving the economic benefit, and avoiding the technical problem in the prior art that the accuracy of the combustion adjustment scheme for thermal power generation in thermal power plants is not high, affecting the power plant's benefit. Description of the Drawings
[0040] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.
[0041] To more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0042] Figure 1 It is a schematic flowchart of the first embodiment of the intelligent combustion adjustment method of the present invention;
[0043] Figure 2 It is a schematic flowchart of the second embodiment of the intelligent combustion adjustment method of the present invention;
[0044] Figure 3 It is a structural block diagram of the first embodiment of the intelligent combustion adjustment device of the present invention;
[0045] Figure 4 It is a structural schematic diagram of an intelligent combustion adjustment device in the hardware operating environment involved in the embodiment solution of the present invention.
[0046] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments
[0047] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of this application and are not used to limit this application.
[0048] For a better understanding of the technical solutions of this application, the following will be described in detail in combination with the specification drawings and specific embodiments.
[0049] Based on this, the embodiments of the present invention provide an intelligent combustion adjustment method, referring to Figure 1 , Figure 1 It is a flow schematic diagram of the first embodiment of an intelligent combustion adjustment method of the present invention.
[0050] In this embodiment, the intelligent combustion adjustment method includes:
[0051] Step S10: Obtain the power purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameters within the current period.
[0052] Step S20: Update the initial combustion adjustment strategy according to the power purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate an intermediate combustion adjustment strategy for the next period.
[0053] Step S30: Real-time update the intermediate combustion adjustment strategy according to the power plant output power parameters and the intraday cost optimization constraint conditions to obtain the target combustion adjustment strategy.
[0054] Step S40: Adjust the opening of the air valve in the thermal power unit according to the target combustion adjustment strategy.
[0055] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device that can implement the above functions, intelligent combustion adjustment, etc. The following takes intelligent combustion adjustment as an example to illustrate this embodiment and the following embodiments.
[0056] It should be understood that the cost of purchasing electricity refers to the cost of purchasing fuel for thermal power generation. The operation and maintenance costs at least include carbon emission costs, maintenance costs of various equipment, etc. The storage cost is the cost of leasing or purchasing energy storage equipment for electricity storage, and the transaction cost is the cost such as handling fees and taxes for electricity trading.
[0057] In this embodiment, the initial combustion adjustment strategy refers to the combustion adjustment strategy formulated on a daily time scale based on various costs and battery output power in the historical period. The intermediate combustion adjustment strategy for the next time period refers to the combustion adjustment strategy updated within a time scale of 2 to 6 hours based on various costs in the current period. The target combustion adjustment strategy refers to the combustion adjustment strategy on a 1-hour time scale.
[0058] Furthermore, updating the initial combustion adjustment strategy according to the cost of purchasing electricity, operation and maintenance costs, storage costs, and transaction costs to generate the intermediate combustion adjustment strategy for the next time period includes:
[0059] Dividing the daily combustion adjustment period according to the first time scale;
[0060] Obtaining the cost data of the target time period in which the current moment is located from the cost of purchasing electricity, operation and maintenance costs, storage costs, and transaction costs;
[0061] Performing cost prediction through the trained cost optimization model according to the cost data of the target time period to obtain the optimized cost data within the current time period;
[0062] Updating the initial combustion adjustment strategy according to the optimized cost data to generate the intermediate combustion adjustment strategy for the next time period.
[0063] The reason for setting three time scales in this embodiment is that there are certain errors between the cost and power plant output power data in the historical period and the current moment. When adjusting the combustion performance of the power plant, there will be certain errors, which is also a commonly used solution in traditional technologies. The time scale of the intermediate combustion adjustment strategy is smaller, and its main division basis is the volatility of the grid price. Currently, the grid price generally uses 2 to 6 hours as the fluctuation interval. When the price in the next time period is higher, the power generation can be increased in the current time period, or the carbon emission treatment volume can be reduced, thereby improving the power plant's revenue in a refined manner. It will neither increase the storage cost due to excessive electricity nor affect the inherent energy storage of the power plant. Finally, the combustion adjustment on a 1-hour time scale is to improve the operation performance of various equipment in the power plant, especially the combustion chamber, to avoid deflagration or incomplete combustion, thereby bringing equipment damage or additional carbon treatment costs.
[0064] The intra-day cost optimization constraint conditions are determined by the cost of purchasing electricity, operation and maintenance costs, storage costs, and transaction costs within the current time period, and the main purpose is to improve the power plant's revenue in a refined manner.
[0065] Further, the real-time update of the intermediate combustion adjustment strategy according to the power plant output power parameter and the intraday cost optimization constraint condition includes:
[0066] Dividing the target time period where the current moment is located according to the second time scale to determine the real-time time period;
[0067] Calculating the real-time power plant output power parameter of the real-time time period;
[0068] According to the intraday cost optimization constraint condition and the real-time power plant output power parameter, the intermediate combustion adjustment strategy is updated in real time through a real-time scheduling model to determine the target combustion adjustment strategy for the next time period adjacent to the real-time time period within the target time period.
[0069] In a specific implementation, the second time scale is smaller than the first time scale. By calculating the actual output power parameter of the power plant, the intermediate combustion adjustment strategy is updated in real time through a real-time scheduling model.
[0070] In this embodiment, by obtaining the electricity purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameter within the current time period; updating the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate the intermediate combustion adjustment strategy for the next time period; performing real-time update on the intermediate combustion adjustment strategy according to the power plant output power parameter and the intraday cost optimization constraint condition to obtain the target combustion adjustment strategy; adjusting the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy, realizing the real-time update of the combustion adjustment strategy for each time period, and then efficiently adjusting the opening degree of the air valve in the thermal power unit, reducing the carbon emission amount while also improving the economic benefit, and avoiding the low accuracy of the combustion adjustment scheme for thermal power generation in existing technologies.
[0071] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as that in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 2 , before step S20, it further includes:
[0072] Step S110: Obtain the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and combustion output power of the thermal power unit within the historical year-on-year cycle.
[0073] Step S120: Generate an initial combustion adjustment strategy according to the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and combustion output power of the thermal power unit.
[0074] It should be noted that, different from the solutions for formulating initial strategies based on historical data in other fields, due to the volatility of grid prices and electricity demand, year-on-year data has higher reference value compared to all historical data. When formulating the initial combustion adjustment strategy, it is more in line with the operation rules of power plants and has a greater probability of increasing the revenue of power plants.
[0075] Further, before obtaining the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and the combustion output power of thermal power units within the historical year-on-year period, it further includes:
[0076] Obtain the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and historical fuel data of the thermal power plant within the historical year-on-year period. The historical fuel data at least includes: historical thermal power generation efficiency, the volume of fuel participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio;
[0077] Generate the combustion output power of the thermal power unit according to the historical thermal power generation efficiency, the volume of fuel participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio.
[0078] It should be understood that the calculation formula for the combustion output power of the thermal power unit is:
[0079]
[0080] Among them, P total is the output power parameter of the thermal power unit, η is the historical power generation efficiency of the power plant, V is the fuel volume of the fuel, Q is the combustion calorific value of the fuel, and m is the thermoelectric conversion ratio, that is, the thermal energy required for unit electric energy conversion.
[0081] Further, the generating the combustion output power of the thermal power unit according to the historical thermal power generation efficiency, the volume of fuel participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio includes:
[0082] Generate the initial combustion output power of the thermal power unit according to the historical thermal power generation efficiency, the volume of fuel participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio;
[0083] Obtain the oxygen production energy consumption and oxygen production volume in each period of the air separation oxygen production device, and the carbon collection energy consumption and carbon collection mass in each period of the carbon collection, compression, and purification device;
[0084] Calculate the comprehensive oxygen production power of the air separation oxygen production device according to the oxygen production energy consumption and oxygen production volume in each period;
[0085] Calculate the comprehensive carbon collection power of the carbon collection, compression, and purification device according to the carbon collection energy consumption and carbon collection mass in each period;
[0086] Obtain the combustion output power based on the comprehensive oxygen production power, comprehensive carbon capture power, and initial combustion output power.
[0087] In a specific implementation, during the power generation process of a power plant, it is also necessary to handle carbon emissions during the power generation process to meet national standards. Since in this embodiment, when adjusting the combustion performance of a thermal power unit, it is mainly to adjust the opening degree of the air valve in the combustion chamber, that is, to increase the oxygen content in the combustion chamber. However, when the fuel load is high, the oxygen content in the air is not sufficient to support complete combustion in the combustion chamber. Therefore, it is also necessary to inject oxygen-enriched air into the combustion chamber. Based on this, when calculating the combustion output power of the thermal power unit in this embodiment, the carbon capture energy consumption of the carbon capture compression and purification device for handling carbon emissions and the oxygen production energy consumption of the air separation oxygen production device can also be subtracted to obtain the pure combustion output power.
[0088] Specifically, the calculation formula for the comprehensive oxygen production power is:
[0089] P1 = ω1Q V
[0090] where P1 is the comprehensive oxygen production power, ω1 is the oxygen production energy consumption per unit of oxygen, and Q V is the oxygen production volume.
[0091] The calculation formula for the comprehensive carbon capture power is:
[0092] P2 = ω2Q m
[0093] where P1 is the comprehensive carbon capture power, ω2 is the carbon capture energy consumption per unit of CO2, and Qm is the carbon capture mass.
[0094] This embodiment obtains the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and the combustion output power of the thermal power unit within the historical year-on-year period; generates an initial combustion adjustment strategy based on the historical power purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and the combustion output power of the thermal power unit, and uses the cost data and output power data of the year-on-year period to improve the reliability of the adjustment strategy.
[0095] This application also provides an intelligent combustion adjustment device. Please refer to Figure 4 , the intelligent combustion adjustment device includes:
[0096] An acquisition module 10, configured to acquire the power purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameters during the current period.
[0097] A primary update module 20 is configured to update an initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and trading cost, and generate an intermediate combustion adjustment strategy for the next time period.
[0098] A secondary update module 30 is configured to perform real-time update on the intermediate combustion adjustment strategy according to the power output parameter of the power plant and the intraday cost optimization constraint condition, and obtain a target combustion adjustment strategy, where the intraday cost optimization constraint condition is determined by the electricity purchase cost, operation and maintenance cost, storage cost, and trading cost within the current time period.
[0099] An adjustment module 40 is configured to adjust the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy.
[0100] In this embodiment, by obtaining the electricity purchase cost, operation and maintenance cost, storage cost, trading cost, and power output parameter of the power plant within the current time period; updating the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and trading cost to generate an intermediate combustion adjustment strategy for the next time period; performing real-time update on the intermediate combustion adjustment strategy according to the power output parameter of the power plant and the intraday cost optimization constraint condition to obtain a target combustion adjustment strategy; and adjusting the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy, the combustion adjustment strategy for each time period is updated in real time, thereby efficiently adjusting the opening degree of the air valve in the thermal power unit, reducing the carbon emission amount while improving the economic benefit, and avoiding the low accuracy of the combustion adjustment scheme for thermal power generation in a thermal power plant in the prior art.
[0101] In one embodiment, the primary update module 20 is further configured to obtain the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical trading cost, and combustion output power of the thermal power unit within a historical year-on-year period; and generate an initial combustion adjustment strategy according to the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical trading cost, and combustion output power of the thermal power unit.
[0102] In one embodiment, the primary update module 20 is further configured to obtain the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical trading cost, and historical fuel data of the thermal power plant within a historical year-on-year period, where the historical fuel data at least includes: historical thermal power generation efficiency, fuel volume participating in combustion in each time period, fuel calorific value, and thermoelectric conversion ratio; and generate the combustion output power of the thermal power unit according to the historical thermal power generation efficiency, fuel volume participating in combustion in each time period, fuel calorific value, and thermoelectric conversion ratio.
[0103] In one embodiment, the primary update module 20 is further configured to generate an initial combustion output power of the thermal power unit according to the historical thermal power generation efficiency, the volume of fuel participating in combustion in each time period, the fuel calorific value, and the thermoelectric conversion ratio; obtain the oxygen production energy consumption of the air separation oxygen production device and the oxygen production volume in each time period, as well as the carbon collection energy consumption of the carbon collection, compression, and purification device and the carbon collection mass in each time period; calculate the comprehensive oxygen production power of the air separation oxygen production device according to the oxygen production energy consumption and the oxygen production volume in each time period; calculate the total carbon collection power of the carbon collection and purification device according to the carbon collection energy consumption and the carbon collection mass in each time period; and obtain the combustion output power according to the comprehensive oxygen production power, the total carbon collection power, and the initial combustion output power.
[0104] In one embodiment, the primary update module 20 is further configured to divide the current day's combustion adjustment period according to a first time scale; obtain the target period cost data at the current moment from the power purchase cost, the operation and maintenance cost, the storage cost, and the transaction cost; perform cost prediction through a trained cost optimization model according to the target period cost data to obtain the optimized cost data within the current period; and update the initial combustion adjustment strategy according to the optimized cost data to generate an intermediate combustion adjustment strategy for the next period.
[0105] In one embodiment, the secondary update module 30 is further configured to divide the target period where the current moment is located according to a second time scale to determine the real-time period; calculate the real-time power plant output power parameters of the real-time period; and perform real-time update on the intermediate combustion adjustment strategy through a real-time scheduling model according to the intraday cost optimization constraint conditions and the real-time power plant output power parameters to determine the target combustion adjustment strategy for the next period adjacent to the real-time period within the target period.
[0106] This application provides an intelligent combustion adjustment device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent combustion adjustment method in the first embodiment above.
[0107] Next, refer to Figure 4, which shows a schematic structural diagram of an intelligent combustion adjustment device suitable for implementing the embodiments of the present application. The intelligent combustion adjustment device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The shown intelligent combustion adjustment device is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.
[0108] As Figure 4 shown, the intelligent combustion adjustment device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the intelligent combustion adjustment device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the intelligent combustion adjustment device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows an intelligent combustion adjustment device with various systems, it should be understood that it is not required to implement or have all the shown systems. Instead, more or fewer systems may be implemented or had.
[0109] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product that includes a computer program carried on a computer-readable medium, and the computer program contains program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by a processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.
[0110] The intelligent combustion adjustment device provided by the present application adopts the intelligent combustion adjustment method in the above embodiment, and can solve the technical problems of intelligent combustion adjustment. Compared with the prior art, the beneficial effects of the intelligent combustion adjustment device provided by the present application are the same as those of the intelligent combustion adjustment method provided by the above embodiment, and other technical features in the intelligent combustion adjustment device are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.
[0111] It should be understood that each part disclosed in the present application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.
[0112] As described above, the above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
[0113] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the intelligent combustion adjustment method in the above embodiment.
[0114] The computer-readable storage medium provided by the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component. The program code contained on the computer-readable storage medium can be transmitted by any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
[0115] The above computer-readable storage medium may be included in the intelligent combustion adjustment device; or it may exist separately without being assembled into the intelligent combustion adjustment device.
[0116] The above computer-readable storage medium carries one or more programs. When the above one or more programs are executed by the intelligent combustion adjustment device, the intelligent combustion adjustment device is enabled to perform intelligent combustion adjustment.
[0117] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The above programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).
[0118] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system that performs the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.
[0119] The modules described in the embodiments of the present application can be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.
[0120] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned intelligent combustion adjustment method and can solve the technical problems of intelligent combustion adjustment. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as those of the intelligent combustion adjustment method provided by the above embodiments and will not be elaborated herein.
[0121] The present application also provides a computer program product, including a computer program, which when executed by a processor implements the steps of the intelligent combustion adjustment method as described above.
[0122] The computer program product provided by the present application can solve the technical problems of intelligent combustion adjustment. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the intelligent combustion adjustment method provided by the above embodiments and will not be elaborated herein.
[0123] The above are only some embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.
Claims
1. An intelligent combustion adjustment method, characterized in that, The intelligent combustion adjustment method includes: Obtaining the electricity purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameters within the current period; Updating the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate an intermediate combustion adjustment strategy for the next period; Performing real-time update on the intermediate combustion adjustment strategy according to the power plant output power parameters and the intraday cost optimization constraint conditions, and obtaining a target combustion adjustment strategy, where the intraday cost optimization constraint conditions are determined by the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost within the current period; Adjusting the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy.
2. The intelligent combustion adjustment method according to claim 1, wherein, Before updating the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate an intermediate combustion adjustment strategy for the next period, it further includes: Obtaining the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and combustion output power of the thermal power unit within the historical year-on-year period; Generating an initial combustion adjustment strategy according to the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and combustion output power of the thermal power unit.
3. The intelligent combustion adjustment method according to claim 2, wherein Before obtaining the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and combustion output power of the thermal power unit within the historical year-on-year period, it further includes: Obtaining the historical electricity purchase cost, historical operation and maintenance cost, historical storage cost, historical transaction cost, and historical fuel data of the thermal power plant within the historical year-on-year period, where the historical fuel data at least includes: historical thermal power generation efficiency, fuel volume participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio; Generating the combustion output power of the thermal power unit according to the historical thermal power generation efficiency, fuel volume participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio.
4. The intelligent combustion adjustment method according to claim 3, wherein The generating the combustion output power of the thermal power unit according to the historical thermal power generation efficiency, fuel volume participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio includes: Generating the initial combustion output power of the thermal power unit according to the historical thermal power generation efficiency, fuel volume participating in combustion in each period, fuel calorific value, and thermoelectric conversion ratio; Obtaining the oxygen production energy consumption and oxygen production volume in each period of the air separation oxygen production device, and the carbon collection energy consumption and carbon collection mass in each period of the carbon collection compression and purification device; Calculating the comprehensive oxygen production power of the air separation oxygen production device according to the oxygen production energy consumption and oxygen production volume in each period; Calculating the comprehensive carbon collection power of the carbon collection purification device according to the carbon collection energy consumption and carbon collection mass in each period; Obtaining the combustion output power according to the comprehensive oxygen production power, comprehensive carbon collection power, and initial combustion output power.
5. The intelligent combustion adjustment method according to claim 1, characterized in that, The updating the initial combustion adjustment strategy according to the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate an intermediate combustion adjustment strategy for the next period includes: Dividing the current day's combustion adjustment period according to the first time scale; Obtaining the target period cost data at the current moment from the electricity purchase cost, operation and maintenance cost, storage cost, and transaction cost; Perform cost prediction through the trained cost optimization model based on the target period cost data to obtain the optimized cost data within the current period; Update the initial combustion adjustment strategy according to the optimized cost data to generate the intermediate combustion adjustment strategy for the next period.
6. The intelligent combustion adjustment method according to claim 1, characterized in that The real-time update of the intermediate combustion adjustment strategy according to the power plant output power parameters and the intraday cost optimization constraints includes: Divide the target period where the current moment is located according to the second time scale to determine the real-time period; Calculate the real-time power plant output power parameters of the real-time period; Perform real-time update of the intermediate combustion adjustment strategy through the real-time scheduling model according to the intraday cost optimization constraints and the real-time power plant output power parameters to determine the target combustion adjustment strategy for the next period adjacent to the real-time period within the target period.
7. An intelligent combustion adjustment device, characterized in that, The intelligent combustion adjustment device includes: An acquisition module for acquiring the power purchase cost, operation and maintenance cost, storage cost, transaction cost, and power plant output power parameters within the current period; A primary update module for updating the initial combustion adjustment strategy according to the power purchase cost, operation and maintenance cost, storage cost, and transaction cost to generate the intermediate combustion adjustment strategy for the next period; A secondary update module for performing real-time update of the intermediate combustion adjustment strategy according to the power plant output power parameters and the intraday cost optimization constraints to obtain the target combustion adjustment strategy, where the intraday cost optimization constraints are determined by the power purchase cost, operation and maintenance cost, storage cost, and transaction cost within the current period; An adjustment module for adjusting the opening degree of the air valve in the thermal power unit according to the target combustion adjustment strategy.
8. An intelligent combustion adjustment device, characterized in that, The intelligent combustion adjustment device includes: a memory, a processor, and an intelligent combustion adjustment program stored on the memory and executable on the processor, and the intelligent combustion adjustment program is configured to implement the intelligent combustion adjustment method according to any one of claims 1 to 6.
9. A storage medium, characterized in that, An intelligent combustion adjustment program is stored on the storage medium, and when the intelligent combustion adjustment program is executed by a processor, it implements the intelligent combustion adjustment method according to any one of claims 1 to 6.
10. A computer program product, characterized in that, The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the steps of the intelligent combustion adjustment method according to any one of claims 1 to 6.