Methods, devices and equipment for controlling the profitability of thermal power plants

Abstract

This invention provides a method, apparatus, and equipment for controlling the profitability of thermal power plants. The method includes: obtaining the coal inventory in the coal yard of the thermal power plant using online laser coal inventory; predicting the predicted power generation of the thermal power plant within a preset time period; obtaining the predicted coal consumption of the coal yard based on the predicted power generation; determining the coal purchase quantity of the coal yard based on the coal inventory and the predicted coal consumption; monitoring the coal consumption results in the coal yard; adjusting the coal purchase quantity based on the coal consumption results to obtain the adjusted coal purchase quantity; determining the power generation cost of the thermal power plant to achieve the preset power generation; determining the power generation revenue of the thermal power plant to achieve the preset power generation based on time-of-use electricity prices and power generation costs; and determining the purchase cost of the adjusted coal purchase quantity and the electricity marketing price based on the power generation revenue, thereby controlling the profitability of the thermal power plant.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, and in particular to a method, apparatus and equipment for controlling the efficiency of thermal power generation enterprises. Background Technology

[0002] Currently, thermal power generation is one of the main methods of power generation, and coal is also the main fuel for thermal power generation.

[0003] When purchasing coal, thermal power plants typically formulate their procurement plans based on the coal inventory in their own coal yards. However, coal consumption varies across different months and seasons. Therefore, a procurement plan solely based on existing coal inventory can easily lead to over- or under-purchasing, impacting the company's profitability. Furthermore, thermal power plants often rely on the experience of their technical personnel to assess coal inventory levels, resulting in inaccurate inventory estimates and potentially inefficient procurement plans, further affecting the company's profitability. Summary of the Invention

[0004] This invention provides a method, apparatus, and equipment for controlling the profitability of thermal power generation enterprises, in order to solve the technical problems in the prior art where thermal power generation enterprises cannot accurately detect the coal inventory in the coal yard and cannot effectively expand the enterprise's profitability.

[0005] On the one hand, the present invention provides a method for controlling the profitability of thermal power generation enterprises, comprising:

[0006] Online laser coal inventory can be used to obtain the coal inventory in the coal yard of thermal power plants.

[0007] Predict the projected power generation of the thermal power plant within a preset time period;

[0008] The predicted coal consumption of the coal yard is obtained based on the predicted power generation.

[0009] The coal purchase volume of the coal yard is determined based on the coal inventory and the predicted coal consumption.

[0010] Monitor the coal consumption results in the coal yard;

[0011] The coal purchase quantity is adjusted based on the coal consumption results to obtain the adjusted coal purchase quantity.

[0012] Determine the power generation cost for the thermal power plant to achieve the preset power generation volume;

[0013] The revenue generated by the thermal power plant in completing the preset power generation volume is determined based on the time-of-use electricity price and the power generation cost.

[0014] The procurement cost of the adjusted coal purchase volume and the electricity marketing price are determined based on the power generation revenue in order to control the profitability of the thermal power generation enterprise.

[0015] According to a method for controlling the efficiency of a thermal power plant provided by the present invention, the step of obtaining the coal inventory in the coal yard of the thermal power plant using online laser coal inventory includes:

[0016] Online laser coal inventory is used to acquire coal inventory data in the coal yard of a thermal power plant, wherein the coal inventory data includes the location, volume and density of coal in the coal yard;

[0017] The coal inventory is obtained based on the coal volume and the coal density;

[0018] A 3D map of the coal yard is generated based on the coal location and the coal inventory; the 3D map data is used to reflect the coal location, coal volume and coal pile shape of the coal yard.

[0019] According to a method for controlling the profitability of a thermal power plant provided by the present invention, determining the power generation cost of the thermal power plant in achieving the preset power generation volume includes:

[0020] Monitor the amount of boiler coal entering each boiler of the thermal power plant and the proportion of each type of coal included in the boiler coal amount;

[0021] Based on the prices of each type of coal, the cost of coal fed into each of the boilers is obtained;

[0022] Determine the auxiliary cost of auxiliary materials corresponding to the boiler coal quantity of each of the boilers; wherein, the auxiliary materials include at least the amount of ammonia injected, the amount of limestone, the amount of water consumed, and the amount of electricity consumed;

[0023] The power generation cost is determined based on the cost of coal fed into each boiler and the auxiliary costs.

[0024] According to a method for controlling the profitability of a thermal power plant provided by the present invention, when purchased coal is loaded into the coal yard by coal trucks, the method further includes:

[0025] The amount of coal purchased from the coal trucks, the amount of coal to be unloaded, and the amount of coal already unloaded are recorded, and the location of the unloaded coal is tracked.

[0026] The sum of the amount of coal to be unloaded and the amount of coal already unloaded is determined to obtain the actual amount of coal arriving at the plant;

[0027] The actual amount of coal delivered to the plant is compared with the amount of coal purchased from the plant to determine the coal error.

[0028] Monitor the location, type, quantity, and quality of coal stored in the coal yard at the current moment.

[0029] The coal structure composition in the coal yard is determined based on the coal type, the amount of coal corresponding to the coal type, and the coal quality corresponding to the coal type at each of the aforementioned coal storage locations.

[0030] Obtain the coal blending and combustion structure required for the boiler;

[0031] When the coal structure composition in the coal yard does not match the coal combustion structure, a correction plan for adjusting the coal procurement quantity is output.

[0032] The efficiency of the thermal power plant is controlled based on the coal error and the correction scheme.

[0033] According to a method for controlling the profitability of a thermal power plant provided by the present invention, the method further includes:

[0034] Obtain the coal blending and combustion structure of the boiler;

[0035] Based on the coal blending and combustion structure of the boiler, a type of coal corresponding to the coal combustion structure is added to the coal blending bin corresponding to the boiler; wherein, the coal blending bin is funnel-shaped and has an outlet at the bottom;

[0036] Obtain the actual coal blending ratio of each type of coal leaking from the outlet of the coal mixing bin;

[0037] The coal blending bin is adjusted based on the actual coal blending ratio of each coal type.

[0038] According to a method for controlling the efficiency of a thermal power plant provided by the present invention, the coal mixing bin has a scale for indicating the coal level, and the adjustment of the coal mixing bin based on the actual coal blending ratio of each coal type includes:

[0039] The calculated coal blending ratio of each coal type reduced in the coal mixing bin is calculated based on the aforementioned size scale.

[0040] Determine whether the actual coal blending ratio is consistent with the calculated coal blending ratio;

[0041] If not, it indicates that the coal mixing bin is blocked, and the coal mixing bin should be cleared.

[0042] According to a method for controlling the profitability of a thermal power plant provided by the present invention, if the actual coal blending ratio is consistent with the calculated coal blending ratio, the coal leaking from the coal mixing bunker is controlled to be supplied to the boiler.

[0043] According to a method for controlling the profitability of a thermal power plant provided by the present invention, the step of obtaining the actual coal blending ratio of each type of coal leaking from the outlet of the coal mixing bunker includes:

[0044] The actual coal blending ratio of each type of coal leaking from the outlet of the coal mixing bin is obtained by using online laser coal panning.

[0045] On the other hand, the present invention also provides a control device for the efficiency of thermal power generation enterprises, comprising:

[0046] The coal inventory acquisition module is used to acquire the coal inventory in the coal yard of thermal power plants using online laser coal inventory.

[0047] The power generation prediction module is used to predict the predicted power generation of the thermal power plant within a preset time period;

[0048] A coal consumption prediction module is used to obtain the predicted coal consumption of the coal yard based on the predicted power generation.

[0049] The coal procurement module is used to determine the amount of coal to be procured from the coal yard based on the coal inventory and the predicted coal consumption.

[0050] The monitoring module is used to monitor the coal consumption results in the coal yard;

[0051] The procurement adjustment module is used to adjust the coal procurement quantity based on the coal consumption results to obtain the adjusted coal procurement quantity.

[0052] The cost determination module is used to determine the power generation cost for the thermal power plant to complete the preset power generation.

[0053] The revenue determination module is used to determine the revenue generated by the thermal power plant when it completes the preset power generation volume based on the time-of-use electricity price and the power generation cost.

[0054] The benefit control module is used to determine the procurement cost of the coal adjustment purchase volume and the electricity marketing price based on the power generation revenue, so as to control the benefit of the thermal power generation enterprise.

[0055] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the control method for the benefits of thermal power generation enterprises as described above.

[0056] This invention provides a method, apparatus, and equipment for controlling the profitability of thermal power plants. It utilizes online laser coal inventory to obtain the coal inventory in the coal yard of a thermal power plant. The method involves: predicting the power generation of the thermal power plant within a preset time period; obtaining the predicted coal consumption in the coal yard based on the predicted power generation; determining the coal purchase quantity in the coal yard based on the coal inventory and predicted coal consumption; monitoring the coal consumption results in the coal yard; adjusting the coal purchase quantity based on the coal consumption results to obtain an adjusted coal purchase quantity; determining the power generation cost for the thermal power plant to achieve the preset power generation; determining the power generation revenue for the thermal power plant to achieve the preset power generation based on time-of-use electricity prices and power generation costs; and determining the purchase cost of the adjusted coal purchase quantity and the electricity marketing price based on the power generation revenue, thereby controlling the profitability of the thermal power plant. This embodiment utilizes online laser coal inventory to obtain highly accurate coal inventory levels. Based on the coal inventory and predicted coal consumption, it determines the coal purchase volume of the coal yard, optimizing inventory. Based on time-of-use electricity prices and power generation costs, it can accurately determine the power generation revenue for completing the preset power generation volume. Furthermore, it achieves comprehensive management of the procurement and marketing departments, reducing the situation of each department acting independently, thereby reducing the company's costs and expanding the company's benefits, i.e., improving the company's marginal benefits. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0058] Figure 1 This is a flowchart illustrating the method for controlling the profitability of thermal power plants provided in an embodiment of the present invention;

[0059] Figure 2 This is a schematic diagram of 3D map data of a coal yard generated based on coal location and coal inventory provided in an embodiment of the present invention;

[0060] Figure 3 This is a schematic diagram of the structure of the control device for the efficiency of thermal power generation enterprises provided in an embodiment of the present invention;

[0061] Figure 4 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0063] Figure 1 This is a flowchart illustrating the method for controlling the profitability of thermal power plants provided in an embodiment of the present invention. Figure 1 As shown in the embodiment of the present invention, the method for controlling the efficiency of thermal power plants can be executed by a computer, mobile phone, or smart wearable device. The method mainly includes the following steps:

[0064] 101. Use online laser coal inventory to obtain the coal inventory of coal yards in thermal power plants.

[0065] In this step, the online laser coal inventory system can be composed of hardware devices such as the XKCON XKCON-LS250-01 laser scanner. This scanner can be installed on a gimbal on the top walkway of the coal yard or mounted on a track-mounted inspection robot. This installation method ensures that the scanner can cover the entire coal yard area, achieving comprehensive data collection. Compared to manual coal inventory, this step optimizes the personnel structure, reduces the labor intensity of workers, and significantly improves the accuracy and efficiency of measuring coal inventory. Coal inventory can refer to the weight of the coal.

[0066] 102. Predict the predicted power generation of thermal power plants within a preset time period.

[0067] In this step, the preset time period can be a month, a quarter, or other time period; this embodiment does not impose a specific limitation. The predicted power generation within the preset time period can be predicted using the actual power generation of historical time periods corresponding to the preset time period. For example, if the preset time period is July of the current year, the power generation of July of last year can be used as the power generation of July of this year.

[0068] 103. Based on the predicted power generation, the predicted coal consumption of the coal yard is obtained.

[0069] In this step, the equipment parameters of the boilers and generator units of the thermal power plant are all known quantities. Based on these parameters, the correspondence between power generation and coal consumption can be determined. Therefore, the predicted coal consumption at the coal yard can be obtained based on the predicted power generation. Alternatively, the correspondence between power generation and coal consumption can be derived from historical power generation and historical coal consumption. Furthermore, the coal consumption of a historical period corresponding to a preset time period can be used as the predicted coal consumption. For example, if the preset time period is July of the current year, then the coal consumption of July of last year can be used as the predicted coal consumption for July of this year.

[0070] 104. Determine the coal purchase volume of the coal yard based on the coal inventory and the predicted coal consumption.

[0071] In this step, a larger coal inventory is not necessarily better. Excessive inventory leads to greater coal loss, increasing coal costs and requiring more space. Furthermore, excessive inventory can pose safety hazards. Therefore, to optimize inventory and maintain an appropriate level of coal stock, the coal purchase quantity needs to be determined based on the current stock level and projected coal consumption to avoid purchasing too much or too little coal.

[0072] 105. Monitor coal consumption results in the coal yard.

[0073] In this step, considering that the coal procurement process may take some time, it is necessary to monitor the coal consumption results in the coal yard. The coal consumption results can include the amount of each type of coal consumed. Online laser coal monitoring can be used to monitor the coal consumption results in the coal yard.

[0074] 106. Adjust the coal purchase quantity based on the coal consumption results to obtain the adjusted coal purchase quantity.

[0075] In this step, if a certain type of coal is consumed excessively, the purchase quantity of that coal can be increased in the coal procurement plan, and the procurement speed can be accelerated to ensure that the coal reaches the coal yard as quickly as possible. If a certain type of coal is consumed insufficiently, the procurement speed of that coal can be reduced to shorten the time it takes for it to reach the coal yard, thus avoiding increased material and space occupancy costs. It is understood that adjustments to the coal procurement quantity are generally made before or after the procurement process has ended. If the bulk coal procurement has already been completed, no further adjustments are necessary.

[0076] 107. Determine the power generation cost for thermal power plants to achieve the preset power generation volume.

[0077] In this step, mixing and burning different types of coal in a certain proportion is also a way to save costs. Therefore, determining the power generation cost for a thermal power plant to achieve its preset power generation capacity can specifically include: monitoring the amount of boiler coal entering each boiler of the thermal power plant and the proportion of each type of coal included in the boiler coal; obtaining the cost of coal entering each boiler based on the price of each type of coal; determining the auxiliary cost of auxiliary materials corresponding to the amount of boiler coal entering each boiler; and determining the power generation cost based on the cost of coal entering each boiler and the auxiliary costs. Auxiliary materials can at least include the ammonia injection rate of the denitrification unit, the limestone quantity of the desulfurization unit, water consumption, and power consumption. Power consumption can include the power consumption of the boilers and various auxiliary machines of the unit. The relevant parameters of auxiliary materials can be read from the database of the Supervisory Information System (SIS).

[0078] 108. Determine the revenue generated by thermal power plants when they achieve their preset power generation targets based on time-of-use electricity prices and power generation costs.

[0079] In this step, the electricity price is not constant. The price can change over time and vary in tiers depending on the amount of electricity consumed. Therefore, determining the revenue of thermal power plants from completing a preset generation target based on time-of-use pricing and generation costs is more accurate than using a fixed price. Furthermore, factors such as spot market trading and deep peak shaving can be considered when determining revenue. Generally, the electricity sales quota can be obtained from the total generation and time-of-use pricing; subtracting generation costs yields the revenue. When considering revenue, the costs associated with condition-based maintenance and / or operational optimization for thermal power plants can also be taken into account.

[0080] 109. Based on power generation revenue, determine the procurement cost of coal and the electricity marketing price to control the profitability of thermal power plants. This step achieves comprehensive management of both the procurement and marketing departments, reducing fragmented operations and improving overall efficiency. It's understandable that when power generation revenue is low, procurement costs can be minimized while electricity marketing prices are increased; conversely, when power generation revenue is high, procurement costs can still be minimized, and, for a more humane approach, electricity marketing prices can be maintained unchanged.

[0081] In this embodiment, online laser coal inventory is used to obtain the coal inventory of the coal yard in a thermal power plant. The system predicts the power generation of the thermal power plant within a preset time period; based on the predicted power generation, the predicted coal consumption of the coal yard is obtained; based on the coal inventory and predicted coal consumption, the coal purchase quantity of the coal yard is determined; the coal consumption results in the coal yard are monitored; based on the coal consumption results, the coal purchase quantity is adjusted to obtain the adjusted coal purchase quantity; the power generation cost of the thermal power plant to complete the preset power generation is determined; based on time-of-use electricity prices and power generation costs, the power generation revenue of the thermal power plant to complete the preset power generation is determined; based on the power generation revenue, the purchase cost of the adjusted coal purchase quantity and the electricity marketing price are determined to control the profitability of the thermal power plant. This embodiment uses highly accurate online laser coal inventory to obtain the coal inventory. The coal purchase quantity of the coal yard is determined based on the coal inventory and predicted coal consumption, optimizing inventory. The power generation revenue of completing the preset power generation can be accurately determined based on time-of-use electricity prices and power generation costs. Furthermore, it achieves comprehensive management of the procurement and marketing departments, reducing fragmented operations, thereby lowering the company's costs and increasing its profitability, i.e., improving the company's marginal benefits.

[0082] In one embodiment of this specification, obtaining the coal inventory in the coal yard of a thermal power plant using online laser coal inventory includes:

[0083] Online laser coal inventory is used to obtain coal inventory data in the coal yard of thermal power plants. The coal inventory data includes the location, volume and density of coal in the coal yard.

[0084] The coal inventory is determined based on coal volume and coal density.

[0085] 3D map data of the coal yard is generated based on the location and inventory of coal; the 3D map data is used to reflect the location, volume and shape of coal piles in the coal yard.

[0086] In this embodiment, 3D map data can be as follows: Figure 2 As shown, Figure 2 The data includes the shape and volume of each coal pile, with different piles exhibiting varying color depths. Coal volume encompasses both size and shape. Based on coal volume and density, the coal inventory is calculated, offering higher accuracy compared to manually counted inventory. A 3D map of the coal yard is generated based on coal location and inventory levels, accurately reflecting parameters such as coal location and volume, as well as calorific value, ash content, heat content, and price. This 3D map data serves as a digital twin of the overall coal yard data. This embodiment accurately reflects these various parameters of the coal in the yard, facilitating cost control and improving enterprise profitability. This embodiment essentially establishes a digital coal yard subsystem.

[0087] In one embodiment of this specification, when the purchased coal is loaded into the coal yard by a coal truck, the method further includes:

[0088] Step 1: Compile statistics on the amount of coal purchased by coal trucks, the amount of coal to be unloaded, and the amount of coal already unloaded, and track the location of the unloaded coal.

[0089] Step 2: Determine the sum of the amount of coal to be unloaded and the amount of coal already unloaded to obtain the actual amount of coal arriving at the plant;

[0090] Step 3: Compare the actual amount of coal delivered to the plant with the amount of coal purchased from the plant to determine the coal error.

[0091] Step 4: Monitor the location, type, quantity, and quality of coal stored in the coal yard at the current moment.

[0092] Step 5: Determine the coal structure composition in the coal yard based on the coal type, the amount of coal corresponding to each coal type, and the coal quality corresponding to each coal storage location.

[0093] Step 6: Obtain the coal blending structure required for boiler combustion;

[0094] Step 7: When the coal structure and composition in the coal yard do not match the combustion coal structure, adjust the procurement quantity of output coal.

[0095] Step 8: Control the efficiency of thermal power plants based on coal error and correction schemes.

[0096] In this embodiment, step one is equivalent to fuel unloading (stacking) tracking. Step four is equivalent to coal storage monitoring. This embodiment is equivalent to establishing a fuel end-to-end uninterrupted tracking subsystem. The amount of coal purchased by coal trucks, that is, the amount of coal transported by coal trucks to the coal yard, also represents the amount of coal purchased by the thermal power plant. This purchased amount is equivalent to the theoretical value. Considering that there is often a certain error between the amount of coal purchased (theoretical value) and the actual amount of coal delivered to the coal yard, and this error is difficult to determine manually, the sum of the amount of coal to be unloaded and the amount of coal already unloaded is determined to obtain the actual amount of coal delivered to the plant. The actual amount of coal delivered to the plant is compared with the amount of coal purchased (theoretical value) to determine the coal error. This coal error has a high degree of accuracy, thereby protecting the interests of the enterprise and improving the efficiency of the enterprise. Generally, an intelligent fuel management platform (Lixin) can be integrated to realize the visualization of the coal unloading process, online monitoring of the real-time status of coal transport vehicles, statistical analysis of the amount of coal delivered to the plant, the amount of coal to be unloaded, and the amount of coal already unloaded, and tracking of the stacking position in conjunction with a coal inventory system.

[0097] Furthermore, after all the coal transported by the coal trucks has been unloaded, the system monitors the current location, type, quantity, and quality of the coal stored in the coal yard. Based on the coal type, quantity, and quality at each location, the system determines the coal composition in the coal yard. It then obtains the coal blending and combustion structure required by the boiler. When the coal composition in the coal yard does not match the combustion structure, the system outputs a correction plan for adjusting the coal purchase quantity, thereby meeting the requirements of the coal blending and combustion structure and improving the efficiency of thermal power plants.

[0098] In some other embodiments of this specification, the method may also include: tracking coal intake at the coal yard and dynamically monitoring coal bunkers. Tracking coal intake involves real-time tracking of the coal conveying control system's status, marking the types of coal being taken into the bunker in real time, and obtaining information on the quantity, quality, and price of the coal in the bunker. This method helps control enterprise costs and improve enterprise efficiency.

[0099] Dynamic monitoring of coal bunkers: Relying on the digital coal yard subsystem (in this plan), changes in the coal yard are tracked. The quality parameters of the coal source (based on the Lixin system) and price (based on the visualization system (3D map data)) can be retrieved from the coal yard evolution function data chain (coal flow operation task records). Then, based on the coal yard stacking and coal extraction operation task records, a digital simulation is performed, displaying a real-time 3D model of the coal yard, real-time coal composition and coal level signals of the coal fed into the furnace (mixed coal bunker and raw coal bunker), and displaying the price as the average price within the mixed coal bunker (raw coal bunker). The layered interface within the coal bunker (mixed coal bunker and raw coal bunker) is shown in a dynamic graph. This embodiment can clearly monitor the changes in coal in the mixed coal bunker and raw coal bunker, facilitating control of the amount of coal added and improving enterprise efficiency.

[0100] Coal storage in the mixed coal silos follows a first-in, first-out (FIFO) principle. Based on coal extraction operations from the coal yard and the tasks of transferring coal from the train ditch to the mixed coal silos, the coal storage information in the mixed coal silos is updated in real-time. Based on the coal loading operations from the mixed coal silos to the raw coal silos, and using the coal loading ratio input by the operators in the coal yard's 3D model information management system and the real-time accumulated values ​​of the belt scales, the coal storage in each silo of the mixed coal silos is updated proportionally. Both the "in" and "out" operations are real-time updates. The mixed coal silos can display the real-time inventory, the coal quality composition of the coal being "out," and the weighted average coal quality composition, all presented in a dynamic graphical format.

[0101] In one embodiment of this specification, the control method further includes:

[0102] To obtain the coal blending and combustion structure of the boiler;

[0103] Based on the coal blending and combustion structure of the boiler, a coal type corresponding to the coal combustion structure is added to the coal blending bin corresponding to the boiler; wherein, the coal blending bin is funnel-shaped and has an outlet at the bottom;

[0104] Obtain the actual coal blending ratio of each type of coal leaking from the outlet of the receiving coal mixing bin;

[0105] Adjust the coal blending bins based on the actual coal blending ratios of each coal type.

[0106] In this embodiment, the coal flow from the coal yard to the boiler generally involves the coal being conveyed by a belt scale to a mixing bin according to the blended coal combustion structure. The coal is then discharged from the mixing bin's outlet back to the belt scale, and then conveyed to a regular coal bin (raw coal bin). From there, it is conveyed to the boiler via a belt scale. Coal types corresponding to the combustion structure are added to the mixing bin corresponding to the boiler. The actual blending ratio of each coal type discharged from the mixing bin's outlet is obtained. Based on the actual blending ratio of each coal type, the mixing bin is adjusted to ensure that the coal structure input to the boiler is the required blended coal combustion structure, thereby saving costs and improving enterprise efficiency. The mixing bin can have multiple outlets, such as 3, 6, or 9, etc., without specific limitation. This embodiment is very suitable for use with raw coal bins.

[0107] In one embodiment of this specification, the coal mixing bin has a scale for indicating the coal level (i.e., for indicating the height of the coal in the coal mixing bin, from which the coal quantity can be obtained). Adjusting the coal mixing bin based on the actual coal blending ratio of each coal type includes:

[0108] The calculated coal blending ratio of each coal type reduced in the coal mixing bin is calculated based on the size scale (which can be regarded as a theoretical value);

[0109] Determine whether the actual coal blending ratio is consistent with the calculated coal blending ratio;

[0110] If not, it indicates that the coal mixing bin is blocked, and the coal mixing bin should be cleared.

[0111] In this embodiment, the coal in the blending silo follows the first-in, first-out (FIFO) principle. Based on the coal yard's coal extraction and blending silo operation tasks, the coal storage information in the blending silo is updated in real-time. Based on the coal loading task from the blending silo to the raw coal silo, and using the coal loading ratio input by the operators in the coal yard's 3D model information management system and the real-time accumulated values ​​of the belt scales as a basis, the coal storage in each silo of the blending silo is updated proportionally. Both the "in" and "out" operations are real-time changes. The blending silo can display the real-time storage volume, the coal quality composition of the coal being "out," and the weighted average coal quality composition, etc., presented in a dynamic graph. Therefore, if the actual coal blending ratio is inconsistent with the calculated coal blending ratio, it indicates that the blending silo is blocked. Clearing the blockage in the blending silo will yield the required coal blending structure, which is beneficial to the company's production and improves efficiency. In other words, the actual coal blending ratio of the coal leaking from the blending silo can be used to infer and verify the coal blending ratio in the blending silo.

[0112] In one embodiment of this specification, if the actual coal blending ratio is consistent with the calculated coal blending ratio, the coal leaking from the coal mixing silo is controlled to be supplied to the boiler.

[0113] In this embodiment, if the actual coal blending ratio matches the calculated coal blending ratio, it indicates that the coal leaking from the outlet of the coal blending silo conforms to the coal blending and combustion structure of the boiler and can be used. Generally, the coal from the coal blending silo can be first transported to the raw coal silo, and then from the raw coal silo to the boiler.

[0114] In one embodiment of this specification, obtaining the actual coal blending ratio of each type of coal leaking from the outlet of the receiving coal mixing bin includes:

[0115] The actual coal blending ratio of each type of coal leaking from the outlet of the receiving coal mixing bin is obtained by using online laser coal panning.

[0116] In this embodiment, the actual coal blending ratio of each type of coal leaking from the outlet of the receiving coal mixing bin is obtained by online laser coal panning, which is very accurate and helps to control costs.

[0117] In some other embodiments of this specification, when the coal bunker is a raw coal bunker, the control method further includes:

[0118] Obtain the actual weight of coal leaking from the outlet of the receiving coal mixing bin;

[0119] Adjust the raw coal bunker based on the actual coal weight.

[0120] Specifically, the calculated coal weight of the coal reduced in the raw coal bunker is calculated based on the size scale of the raw coal bunker;

[0121] Determine whether the actual coal weight matches the calculated coal weight;

[0122] If not, it indicates that the raw coal bunker is blocked, and the raw coal bunker should be cleared.

[0123] If so, control the coal leaking from the raw coal bunker to supply the boiler.

[0124] In this embodiment, the actual weight of the coal leaking from the outlet of the received raw coal bunker can be obtained using a belt scale, which is very simple and convenient.

[0125] In some other embodiments, when determining the profitability of a thermal power plant, the plant's operation and management of heating, steam supply, and fly ash can also be included in the profitability calculation scheme.

[0126] In some other embodiments of this specification, the control method may further include:

[0127] 1. Real-time full cost analysis: It can track the type and proportion of coal fed into the furnace in real time (individual identification method), associate the coal quality and price of each single coal, read the real-time coal feed rate, and thus calculate the real-time positive balance fuel cost of the furnace; it can read the unit load, coal feed rate of the coal feeder, ammonia injection rate of the denitrification unit, limestone quantity of the desulfurization unit, water consumption, and electricity consumption of each auxiliary machine from the SIS database in real time, and calculate other variable operating costs.

[0128] 2. Coal type cost analysis: Cost forecasting and comprehensive analysis of stored coal or designated coal types, including comparison of coal type and quality, coal price, boiler efficiency, plant power consumption rate, by-products, power generation cost, power supply cost, etc.

[0129] 3. Coal blending cost analysis: Based on the coal quality data of the blended coal, predict and calculate the cost-effectiveness of a certain blending scheme, including predictions of boiler efficiency, plant power consumption rate, and power generation coal consumption.

[0130] 4. Spot trading boundary benefit data: When implementing time-of-use pricing, the combined benefits of blended fuel costs, monthly time-of-use pricing, deep peak shaving, and the two detailed rules are used to assess the economic viability (marginal benefit) of each generating unit; guidance is provided for analyzing and rectifying important issues affecting overall benefits.

[0131] 5. Monthly and Medium-to-Long-Term Cost Calculation: The platform is required to provide monthly and medium-to-long-term (quarterly and annual) cost calculation functions to address the lag and inaccuracy issues in monthly cost forecasting. Based on the real-time cost module, the platform calculates the monthly and medium-to-long-term costs and revenues of power generation companies.

[0132] 6. Real-time (daily) cost and profit forecasting: By comprehensively utilizing real-time cost per kilowatt-hour, real-time load, electricity price, etc., a "profit rate" model is established; combined with load planning, blending planning, etc., cost, profit rate and profit forecasting are realized.

[0133] 7. Monthly and medium-to-long-term cost and profit forecasts: Based on the power plant's power generation plan and coal procurement plan, and combined with the long-term coal price forecast, monthly and medium-to-long-term coal costs for each power generation enterprise are forecasted. The forecast results provide data support for plant-level production and power marketing, and are compared with the annual budget values ​​for synchronous forecasting. This timely assistance helps plant-level decision-making to correct deviations in subsequent production and operation targets and propose adjustment strategies.

[0134] The above methods are conducive to precise cost control, thereby increasing the company's profits.

[0135] Based on the same general inventive concept, this invention also protects a control device for the efficiency of thermal power generation enterprises. Figure 3This is a schematic diagram of the structure of the control device for the profitability of thermal power plants provided in an embodiment of the present invention. The control device for the profitability of thermal power plants provided by the present invention will be described below. The control device for the profitability of thermal power plants described below can be referred to in correspondence with the control method for the profitability of thermal power plants described above. The control device for the profitability of thermal power plants includes a coal inventory acquisition module 201, a power generation prediction module 202, a coal consumption prediction module 203, a coal procurement module 204, a monitoring module 205, a procurement adjustment module 206, a cost determination module 207, a revenue determination module 208, and a profitability control module 209.

[0136] The coal inventory acquisition module 201 is used to acquire the coal inventory in the coal yard of a thermal power plant using online laser coal inventory.

[0137] The power generation prediction module 202 is used to predict the predicted power generation of the thermal power plant within a preset time period;

[0138] The coal consumption prediction module 203 is used to obtain the predicted coal consumption of the coal yard based on the predicted power generation.

[0139] The coal procurement module 204 is used to determine the amount of coal to be procured from the coal yard based on the coal inventory and the predicted coal consumption.

[0140] The monitoring module 205 is used to monitor the coal consumption results in the coal yard;

[0141] The procurement adjustment module 206 is used to adjust the coal procurement quantity based on the coal consumption results to obtain the adjusted coal procurement quantity;

[0142] Cost determination module 207 is used to determine the power generation cost for the thermal power plant to complete the preset power generation.

[0143] The revenue determination module 208 is used to determine the revenue generated by the thermal power plant after completing the preset power generation volume based on the time-of-use electricity price and the power generation cost.

[0144] The benefit control module 209 is used to determine the procurement cost of the coal adjustment purchase volume and the electricity marketing price based on the power generation revenue, so as to control the benefits of the thermal power generation enterprise.

[0145] Figure 4 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.

[0146] like Figure 4As shown, the electronic device may include a processor 610, a communications interface 620, a memory 630, and a communication bus 640. The processor 610, communications interface 620, and memory 630 communicate with each other via the communication bus 640. The processor 610 can call logic instructions from the memory 630 to execute control methods for the efficiency of thermal power generation enterprises.

[0147] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0148] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the control method for the benefits of thermal power generation enterprises provided by the above methods.

[0149] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method for the benefits of thermal power generation enterprises provided by the methods described above.

[0150] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0151] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0152] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling the profitability of thermal power generation enterprises, characterized in that, include: Online laser coal inventory can be used to obtain the coal inventory in the coal yard of thermal power plants. Predict the projected power generation of the thermal power plant within a preset time period; The predicted coal consumption of the coal yard is obtained based on the predicted power generation. The coal purchase volume of the coal yard is determined based on the coal inventory and the predicted coal consumption. Monitor the coal consumption results in the coal yard; The coal purchase quantity is adjusted based on the coal consumption results to obtain the adjusted coal purchase quantity. Determine the power generation cost for the thermal power plant to achieve the predicted power generation; The revenue generated by the thermal power plant to complete the predicted power generation is determined based on the time-of-use electricity price and the power generation cost. The procurement cost of the adjusted coal purchase volume and the electricity marketing price are determined based on the power generation revenue in order to control the profitability of the thermal power generation enterprise. The method further includes, when the purchased coal is transported to the coal yard by coal trucks: The amount of coal purchased from the coal trucks, the amount of coal to be unloaded, and the amount of coal already unloaded are recorded, and the location of the unloaded coal is tracked. The sum of the amount of coal to be unloaded and the amount of coal already unloaded is determined to obtain the actual amount of coal arriving at the plant; The actual amount of coal delivered to the plant is compared with the amount of coal purchased from the plant to determine the coal error. Monitor the location, type, quantity, and quality of coal stored in the coal yard at the current moment. The coal structure composition in the coal yard is determined based on the coal type, the amount of coal corresponding to the coal type, and the coal quality corresponding to the coal type at each of the aforementioned coal storage locations. Obtain the coal blending and combustion structure required for the boiler; When the coal structure composition in the coal yard does not match the coal combustion structure, a correction plan for adjusting the coal procurement quantity is output. The efficiency of the thermal power plant is controlled based on the coal error and the correction scheme. Furthermore, the control method also includes: obtaining the coal blending and combustion structure of the boiler; Based on the coal blending and combustion structure of the boiler, a type of coal corresponding to the coal combustion structure is added to the coal blending bin corresponding to the boiler; wherein, the coal blending bin is funnel-shaped and has an outlet at the bottom; Obtain the actual coal blending ratio of each type of coal leaking from the outlet of the coal mixing bin; The coal blending bin is adjusted based on the actual coal blending ratio of each coal type.

2. The method for controlling the profitability of thermal power plants according to claim 1, characterized in that, The method of using online laser coal inventory to obtain the coal inventory in the coal yard of a thermal power plant includes: Online laser coal inventory is used to acquire coal inventory data in the coal yard of a thermal power plant, wherein the coal inventory data includes the location, volume and density of coal in the coal yard; The coal inventory is obtained based on the coal volume and the coal density; A 3D map of the coal yard is generated based on the coal location and the coal inventory; the 3D map data is used to reflect the coal location, coal volume and coal pile shape of the coal yard.

3. The method for controlling the profitability of thermal power plants according to claim 1, characterized in that, Determining the power generation cost for the thermal power plant to achieve the predicted power generation includes: Monitor the amount of boiler coal entering each boiler of the thermal power plant and the proportion of each type of coal included in the boiler coal amount; Based on the prices of each type of coal, the cost of coal fed into each of the boilers is obtained; Determine the auxiliary cost of auxiliary materials corresponding to the boiler coal quantity of each of the boilers; wherein, the auxiliary materials include at least the amount of ammonia injected, the amount of limestone, the amount of water consumed, and the amount of electricity consumed; The power generation cost is determined based on the cost of coal fed into each boiler and the auxiliary costs.

4. The method for controlling the profitability of thermal power plants according to claim 1, characterized in that, The coal blending bin has dimensional scales for indicating coal level. Adjusting the coal blending bin based on the actual coal blending ratio of each coal type includes: The calculated coal blending ratio of each coal type reduced in the coal mixing bin is calculated based on the aforementioned size scale. Determine whether the actual coal blending ratio is consistent with the calculated coal blending ratio; If not, it indicates that the coal mixing bin is blocked, and the coal mixing bin should be cleared.

5. The method for controlling the efficiency of thermal power generation enterprises according to claim 4, characterized in that, If the actual coal blending ratio is consistent with the calculated coal blending ratio, the coal leaking from the coal mixing silo is controlled to be supplied to the boiler.

6. The method for controlling the profitability of thermal power plants according to claim 1, characterized in that, The process of obtaining the actual coal blending ratios of each coal type leaking from the outlet of the coal mixing bin includes: The actual coal blending ratio of each type of coal leaking from the outlet of the coal mixing bin is obtained by using online laser coal panning.

7. A control device for the efficiency of a thermal power plant, characterized in that, The control device uses the method for controlling the efficiency of thermal power plants according to any one of claims 1 to 6, and the control device comprises: The coal inventory acquisition module is used to acquire the coal inventory in the coal yard of thermal power plants using online laser coal inventory. The power generation prediction module is used to predict the predicted power generation of the thermal power plant within a preset time period; A coal consumption prediction module is used to obtain the predicted coal consumption of the coal yard based on the predicted power generation. The coal procurement module is used to determine the amount of coal to be procured from the coal yard based on the coal inventory and the predicted coal consumption. The monitoring module is used to monitor the coal consumption results in the coal yard; The procurement adjustment module is used to adjust the coal procurement quantity based on the coal consumption results, thereby obtaining the adjusted coal procurement quantity. The cost determination module is used to determine the power generation cost for the thermal power plant to complete the predicted power generation. The revenue determination module is used to determine the revenue generated by the thermal power plant when it completes the predicted power generation based on the time-of-use electricity price and the power generation cost. The benefit control module is used to determine the procurement cost of the coal adjustment purchase volume and the electricity marketing price based on the power generation revenue, so as to control the benefit of the thermal power generation enterprise.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method for controlling the efficiency of thermal power generation enterprises as described in any one of claims 1-6.

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