A thermal power plant operation scheduling method and device for minimizing coal loss and a medium

Abstract

The present application relates to a kind of coal loss minimization thermal power plant operation scheduling method, equipment and medium, belong to thermal power plant operation scheduling technical field, comprising the following steps: obtaining power grid load instruction and unit power, load is predicted;From coal feeder data and power, low calorific value of coal into furnace is obtained, and then the coupling coefficient of comprehensive loss is obtained;High pressure regulating valve throttling loss characteristic coefficient is obtained based on historical working condition;Theoretical coal feeding rate is calculated from load prediction value and calorific value;Three build minimum coal consumption objective function;Solving obtains scheduling instruction.The present application introduces high pressure regulating valve throttling loss coefficient based on historical statistics, quantifies the loss rate of unit opening degree caused by valve closing small, as penalty term, so that optimization actively avoids excessive closing small, instead adjusts coal feeding rate and air supply amount.In this way, in depth peak shaving and low load, valve opening degree is economical, steam flows smoothly, improves internal efficiency, significantly inhibits throttling loss, reduces thermal energy waste, directly reduces coal consumption.

Description

Technical Field

[0001] This invention relates to a method, equipment, and medium for the operation and scheduling of thermal power plants that minimizes coal consumption, and belongs to the field of thermal power plant operation and scheduling technology. Background Technology

[0002] As the baseload and main source of power for peak shaving in the power system, the economic efficiency of thermal power plants directly affects energy utilization efficiency and carbon emission levels. With the continuous increase in the proportion of renewable energy generation, grid load fluctuations are becoming increasingly severe. Thermal power units need to frequently participate in deep peak shaving and rapid load changes, causing their actual operating conditions to deviate significantly from their design rated conditions. Under these circumstances, the throttling losses of the turbine's high-pressure regulating valves increase significantly, boiler combustion efficiency fluctuates with coal quality, and the air supply system generates additional power consumption due to changes in ambient temperature and air supply-demand mismatch. These multiple system losses are coupled and superimposed, resulting in a significant waste of coal resources.

[0003] However, most existing thermal power plant operation and dispatching methods focus only on meeting the real-time tracking requirements of grid load commands. Dispatch decisions mainly rely on the experience of operators or simple lookup strategies based on fixed operating condition curves, failing to fully consider real-time changes in coal quality, ambient temperature disturbances, and the coupling loss characteristics between turbines, boilers, and air supply systems. Specifically, there is a strong coupling relationship between the opening of high-pressure regulating valves, coal feed rate, and air supply volume. Isolating any variable may trigger additional losses in other subsystems. Existing technologies lack systematic means for synergistic optimization of these three factors, making it difficult to achieve global minimization of coal loss during load changes. Therefore, there is an urgent need for a thermal power plant operation and dispatching method that minimizes coal loss across all operating conditions, thereby improving the economy and flexibility of thermal power plant operation. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention proposes a method, equipment, and medium for the operation and scheduling of thermal power plants that minimizes coal loss.

[0005] The technical solution of the present invention is as follows: On the one hand, the present invention provides a method for operating and scheduling thermal power plants to minimize coal consumption, comprising the following steps: Obtain load commands from the power grid and the output active power of the steam turbine generator set; Based on the load command of the power grid, predict the load forecast of the power grid at future time. Obtain the operating data of the coal feeder, and obtain the lower heating value of the coal fed into the furnace based on the operating data and the output active power; The comprehensive loss coupling coefficient is obtained based on the lower heating value of the coal fed into the furnace and the output active power. The throttling loss characteristic coefficient of the high-pressure regulating valve is obtained based on the historical operating conditions of the steam turbine generator set. Based on the predicted load value and the lower heating value of the coal fed into the furnace, the theoretical coal feed rate required to meet the predicted load value is obtained. Based on the theoretical coal feed rate, the throttling loss characteristic coefficient of the high-pressure regulating valve, and the comprehensive loss coupling coefficient, an objective function is constructed with the goal of minimizing coal loss. Solving the objective function yields the dispatch instructions for the thermal power plant.

[0006] Preferably, the method further includes averaging the load command of the power grid and the output active power of the turbine generator set to obtain the filtered load command of the power grid and the filtered output active power of the turbine generator set.

[0007] Preferably, the load forecast value of the power grid at future times is predicted using an LSTM model based on the load command after power grid filtering.

[0008] Preferably, the operating data of the coal feeder includes the drive motor current value and the coal feeding rate; The operating data, output active power, high-pressure regulating valve opening of the steam turbine generator set, and operating speed of the blower were obtained using the XGBoost model to obtain the low calorific value of the coal fed into the furnace.

[0009] Preferably, the basic heat loss factor of the steam turbine generator set is obtained based on the low calorific value of the coal fed into the furnace and the output active power after filtering. The ambient temperature of the thermal power plant is obtained, and the comprehensive loss factor of the blower is obtained based on the ambient temperature, the lower heating value of the coal fed into the furnace, and the output active power after filtering. The comprehensive loss coupling coefficient is obtained based on the comprehensive loss factor of the blower and the basic heat loss factor of the steam turbine generator set.

[0010] Preferably, the comprehensive loss factor of the blower is obtained based on the lower heating value of the coal fed into the furnace, the output active power, and the ambient temperature. The specific steps are as follows: The required air mass flow rate is obtained based on the lower heating value of the coal fed into the furnace and the output active power. The actual density of humid air is obtained based on the ambient temperature of a thermal power plant. The mass flow rate of air delivered to the furnace by the blower is obtained based on the actual density of moist air. The comprehensive loss factor of the blower is obtained based on the air mass flow rate delivered to the furnace by the blower and the theoretically required air mass flow rate.

[0011] Preferably, the objective function is expressed by the formula: ; In the formula, Describe the objective function. , , Indicates the weighting coefficient. Describes the minimum value function. This indicates the opening command of the high-pressure regulating valve of the steam turbine generator set. This indicates the coal feed rate instruction from the coal feeder. This command indicates the air volume supplied by the blower. Indicates that the steam turbine generator set is in The command for the opening degree of the high-pressure regulating valve at all times is: Coal feed rate instruction is The air supply volume command is The output active power estimate, Indicates in The overall loss coupling coefficient at time step. Indicated as satisfied The theoretical coal feed rate required for the load forecast at a given time. This indicates the design rated active power of the steam turbine generator set, and indicates the grid's... Load forecast at time of day This represents the throttling loss characteristic coefficient of the high-pressure regulating valve of the steam turbine generator set.

[0012] In another aspect, the present invention also provides an electronic device having a computer program stored thereon, which, when executed by a processor, implements a thermal power plant operation scheduling method for minimizing coal loss as described in any embodiment of the present invention.

[0013] In another aspect, the present invention also provides a computer-readable storage medium for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the coal-minimizing coal loss power plant operation scheduling method as described in any embodiment of the present invention.

[0014] The present invention has the following beneficial effects: 1. This invention collects multi-dimensional operational data such as coal feeder current, coal mill temperature difference, and outlet oxygen content, and uses a machine learning model to identify the lower heating value of the coal entering the furnace online, thereby obtaining real-time information on the true calorific value of the coal. Based on this, subsequent calculations of the coal feed rate and airflow adjustments are made using this measured calorific value as a benchmark, enabling dispatch commands to dynamically adjust in response to changes in coal quality. This adaptive coal quality mechanism allows thermal power plants to maintain high combustion efficiency even when burning non-designed coal types or mixed coal, significantly reducing coal resource waste due to inaccurate coal quality identification. It is particularly suitable for the current reality of diversified coal supply and frequent coal quality fluctuations.

[0015] 2. This invention introduces a throttling loss characteristic coefficient for high-pressure regulating valves. This coefficient, obtained based on historical operating data, quantifies the rate of change in unit opening loss caused by valve reduction. When constructing the objective function, this coefficient serves as a crucial penalty term, causing the optimization algorithm to actively avoid excessive valve reduction when seeking the optimal valve opening command. Instead, it tends to adjust the coal feed rate and air supply to accommodate load changes. As a result, during deep peak shaving and low-to-medium load operation, the valve opening can be maintained within a relatively economical range, steam flow is smoother, the internal efficiency of the flow path is improved, and throttling losses are significantly suppressed. This reduces the wasted steam heat energy due to the throttling effect, directly lowering coal consumption per unit of power generation.

[0016] 3. This invention starts with the theoretically required air mass flow rate, combines real-time identification of the lower heating value of the coal fed into the furnace and the current active power output, and accurately calculates the theoretical air volume required for combustion. Simultaneously, it calculates the actual density of moist air based on the measured ambient temperature, and then converts this into the actual air mass flow rate delivered to the furnace by the blower. By comparing the theoretical and actual values, the comprehensive loss factor of the blower is obtained, which reflects the additional losses caused by air volume and temperature deviations. In the objective function, this loss factor, along with the coal feed rate and valve opening, participates in optimization, ensuring that the final output air volume command meets the oxygen demand for combustion without excessive surplus. In particular, when the ambient temperature rises, the system automatically increases the blower speed command to compensate for the decrease in air density, ensuring that the air-fuel ratio in the furnace is always maintained within the optimal range. This effectively reduces flue gas heat loss and mechanical unburned losses, while also reducing unnecessary power consumption by the blower, achieving combined savings in thermal energy, electrical energy, and coal consumption. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the implementation of the method in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0020] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0021] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0022] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0023] Example 1: See Figure 1 This embodiment provides a method for operating and scheduling thermal power plants to minimize coal consumption, including the following steps: S1. Obtain the load command from the power grid, the output active power of the turbine generator set, and the ambient temperature of the thermal power plant.

[0024] In at least one embodiment, the load command of the power grid is subjected to average filtering to obtain a filtered load command, which is expressed by the following formula: ; In the formula, Indicates that the power grid is The load command, after real-time filtering, eliminates random fluctuations in instantaneous power and extracts stable load trends. This indicates the length of the moving average filter window. Indicates that the power grid is Load instructions at any time, This indicates the time interval between two samples.

[0025] In at least one embodiment, the output active power of the steam turbine generator set is averaged and filtered to obtain the filtered output active power of the steam turbine generator set, expressed by the formula: ; In the formula, Indicates that the steam turbine generator set is in The output active power after real-time filtering eliminates instantaneous random fluctuations in power, extracts the stable current actual output, and reflects how much electricity the turbine generator unit is actually generating. This is the core basis for the energy output dimension in coal quality identification. Indicates that the steam turbine generator set is in The output active power at any given time.

[0026] In at least one embodiment, the ambient temperature of the thermal power plant is obtained by averaging temperature data from multiple temperature sensors located at different locations within the plant, as expressed by the formula: ; In the formula, Indicates that thermal power plants are The ambient temperature at any given time Indicates the number of temperature sensors. Indicates the first A temperature sensor in Temperature data at any given time.

[0027] S2. Based on the load command after power grid filtering, the LSTM model is used to predict the load forecast value of the power grid at future times.

[0028] The forget gate of the LSTM model is expressed by the formula: ; In the formula, Indicates in The forgetting gate vector at time step, express Activation function This represents the forget gate weight matrix. Indicates in The hidden state vector at time step 1. Represents the forget gate bias vector; The input gate of the LSTM model is expressed by the formula: ; In the formula, Indicates in The input gate vector at time t, This represents the input gate weight matrix. This represents the input gate bias vector; The candidate memory units of the LSTM model are expressed by the following formula: ; In the formula, Indicates in The candidate memory unit vector at time step 1. This represents the hyperbolic tangent activation function. This represents the candidate memory cell weight matrix. Represents the bias vector of candidate memory cells; The long-term memory unit of the LSTM model is expressed by the formula: ; In the formula, Indicates in The long-term memory unit vector at time step, Indicates in The long-term memory unit vector at time step, This represents element-wise multiplication; The output gate of the LSTM model is expressed by the formula: ; In the formula, Indicates in The output gate vector at time 1. This represents the output gate weight matrix. This represents the output gate bias vector; The hidden state vector of the LSTM model is expressed by the formula: ; In the formula, Indicates in The hidden state vector at time step; go through Through iterative updates, the final hidden state vector is mapped through a fully connected layer to obtain the load forecast value of the power grid at future time points, expressed by the formula: ; In the formula, Indicates that the power grid is Load forecast at time of day This represents the weight matrix of the fully connected layer. This represents the bias vector of the fully connected layer. Indicates the length of the model training time window. Indicates in The hidden state vector at time step 1. It represents a time increment.

[0029] In at least one embodiment, the load command after grid filtering is first normalized before being input into the LSTM model to avoid LSTM gradient saturation, and the output load prediction value is... Perform inverse normalization to restore the physical dimensions.

[0030] S3. Obtain the operating data of the coal feeder, and obtain the lower heating value of the coal fed into the furnace based on the operating data and the output active power of the steam turbine generator set after filtering. The specific steps are as follows: S301. Based on the operating data and the filtered output active power of the steam turbine generator set, an input feature vector is constructed, expressed by the formula: ; In the formula, Indicates in The input feature vector at time t, Indicates that the coal feeder is in The current value of the drive motor at any given time is positively correlated with the coal feeder current and the coal feeding rate, serving as an indirect indicator of coal quantity. Indicates that the coal mill is in The temperature difference between the inlet and outlet air-powder mixture at any given time reflects the dryness of the pulverized coal and the grinding heat within the coal mill, indirectly indicating the coal's moisture content and grindability. Indicates that the coal feeder is in The coal feed rate at any given time, and the actual coal feed amount, are important factors affecting combustion and calorific value. exist The oxygen content at the outlet at any given time reflects the air-fuel ratio. Too low an oxygen level indicates oxygen-deficient combustion, while too high an oxygen level indicates excess air; both affect thermal efficiency and coal quality identification. Indicates that the steam turbine generator set is in The opening degree of the high-pressure regulating valve at any given time. Indicates that the blower is in The operating speed at any given time; In at least one embodiment, each element in the input feature vector is normalized to eliminate the influence of dimensions. S302. The lower heating value of the coal fed into the furnace is obtained using the XGBoost model based on the input feature vector, expressed by the formula: ; In the formula, Indicates in The lower heating value of the coal fed into the furnace at any given time represents the actual calorific value of the coal at that moment. This represents the total number of decision trees. No. The decision tree represents the mapping function from the feature space to the leaf weights.

[0031] S4. Based on the lower heating value of the coal fed into the furnace and the output active power after filtering, the basic heat loss factor of the steam turbine generator set is obtained, expressed by the formula: ; ; ; In the formula, Indicates that the steam turbine generator set is in The basic heat loss factor at any given time characterizes the ratio of the heat rate of the turbine generator set under static operating conditions to the design value, for example... This means that the turbine's heat rate under current operating conditions is 15% higher than the design value, which is equivalent to needing to consume 15% more coal to generate the same power. , , , , Represents the fitting coefficient. Indicates in The per-unit value of the active power output relative to the rated power of the steam turbine generator set at all times. Indicates in Constantly identify the per-unit value of the coal's calorific value relative to the design reference value. This indicates the design rated active power of the steam turbine generator set. This indicates the reference lower heating value corresponding to the coal type used in boiler design.

[0032] S5. Based on the lower heating value of the coal fed into the furnace, the output active power, and the ambient temperature, obtain the comprehensive loss factor of the blower. The specific steps are as follows: S501. Based on the lower heating value of the coal fed into the furnace and the output active power, the theoretically required air mass flow rate is obtained, expressed by the formula: ; In the formula, Indicates in The theoretically required air mass flow rate at any given time is represented by the amount of air that the boiler theoretically needs to deliver to achieve its current actual output. This represents the ratio of the theoretical air volume required for boiler combustion to the input heat. S502. The actual density of moist air is obtained based on the ambient temperature of the thermal power plant, expressed by the formula: ; In the formula, Indicates in The actual density of moist air at any given time. This represents the density of dry air under standard atmospheric conditions. Temperature represents the standard thermodynamic condition. S503. The mass flow rate of air delivered to the furnace by the blower is obtained based on the actual density of moist air, expressed by the formula: ; In the formula, Indicates that the blower is in The mass flow rate of air constantly delivered to the furnace. This represents the theoretical geometric volume of air discharged per revolution of the blower; S504. The comprehensive loss factor of the blower is obtained based on the air mass flow rate delivered to the furnace by the blower and the theoretically required air mass flow rate, expressed by the formula: ; In the formula, Indicates that the blower is in The overall loss factor at any given time. This represents the first-order weighting coefficient indicating the impact of air volume supply-demand deviation on fan losses. The weighting coefficient representing the impact of ambient temperature deviation on fan losses. Indicates the reference temperature.

[0033] S6. The comprehensive loss coupling coefficient is obtained based on the comprehensive loss factor of the blower and the basic heat loss factor of the turbine generator set, and is expressed by the formula: ; In the formula, Indicates in The overall loss coupling coefficient at time step.

[0034] S7. Based on the historical operating conditions of the steam turbine generator set, the throttling loss characteristic coefficient of the high-pressure regulating valve is obtained, expressed by the formula: ; In the formula, This represents the throttling loss characteristic coefficient of the high-pressure regulating valve in a steam turbine generator set, characterizing the rate of change in loss per unit opening degree caused by valve closure. Indicates the steam turbine generator set at the... Actual heat rate measurements under historical operating conditions This represents the design heat rate of the steam turbine generator set when the high-pressure regulating valve is fully open under rated operating conditions. Indicates the number of steam turbine generator sets High-pressure regulating valve opening commands under historical operating conditions This represents the total number of historical operating conditions. This represents the median function.

[0035] S8. Based on the predicted load value and the lower heating value of the coal fed into the furnace, obtain the theoretical coal feed rate required to meet the predicted load value: ; In the formula, Indicated as satisfied The theoretical coal feed rate required for the load forecast at a given time. This indicates the boiler's design combustion efficiency under rated operating conditions.

[0036] S9. Based on the theoretical coal feed rate, the throttling loss characteristic coefficient of the high-pressure regulating valve, and the comprehensive loss coupling coefficient, an objective function is constructed to minimize coal loss, expressed as the formula: ; In the formula, Describe the objective function. , , Indicates the weighting coefficient. Describes the minimum value function. This indicates the opening command of the high-pressure regulating valve of the steam turbine generator set. This indicates the coal feed rate instruction from the coal feeder. This command indicates the air volume supplied by the blower. Indicates that the steam turbine generator set is in The command for the opening degree of the high-pressure regulating valve at all times is: Coal feed rate instruction is The air supply volume command is The output active power estimate; The output active power estimate is expressed by the formula: ; In the formula, Indicates that the boiler is in The air volume at all times is Combustion efficiency; Combustion efficiency is expressed by the formula: ; In the formula, This represents the correction factor for the impact of air supply deviation on boiler efficiency. Indicates in The theoretical air mass flow rate required at any given time; The theoretical required air mass flow rate is expressed by the formula: .

[0037] The constraint condition of the objective function is the opening command of the high-pressure regulating valve. Coal feed rate instructions Air volume command It shall not exceed the preset limit range. For example, the opening command of a high-pressure regulating valve. The amplitude limit range is between 0 and 1; values ​​outside this range are taken as boundary values. If the value is 1.02, then the boundary value is 1.

[0038] S10. Solve the objective function to obtain the optimal high-pressure regulating valve opening command, coal feed rate command, and air supply command; Divide the optimal air volume command by This is converted into the optimal speed command for the blower; The optimal high-pressure regulating valve opening command, coal feed rate command, and speed command are used as the dispatching commands for thermal power plants.

[0039] Example 2: This embodiment provides an electronic device that stores a computer program. When the computer program is executed by a processor, it implements the thermal power plant operation scheduling method for minimizing coal loss as described in any embodiment of the present invention.

[0040] Example 3: This embodiment provides a computer-readable storage medium for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the coal-minimizing coal loss operation scheduling method for thermal power plants as described in any embodiment of the present invention.

[0041] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0042] Those skilled in the art will recognize that the units and algorithm steps described in the embodiments disclosed herein can be implemented using electronic hardware, computer software, or a combination of electronic hardware and software. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0043] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0044] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, 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 this application. 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.

[0045] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for operating and scheduling thermal power plants to minimize coal loss, characterized in that, Includes the following steps: Obtain load commands from the power grid and the output active power of the steam turbine generator set; Based on the load command of the power grid, predict the load forecast of the power grid at future time. Obtain the operating data of the coal feeder, and obtain the lower heating value of the coal fed into the furnace based on the operating data and the output active power; The comprehensive loss coupling coefficient is obtained based on the lower heating value of the coal fed into the furnace and the output active power. The throttling loss characteristic coefficient of the high-pressure regulating valve is obtained based on the historical operating conditions of the steam turbine generator set. Based on the predicted load value and the lower heating value of the coal fed into the furnace, the theoretical coal feed rate required to meet the predicted load value is obtained. Based on the theoretical coal feed rate, the throttling loss characteristic coefficient of the high-pressure regulating valve, and the comprehensive loss coupling coefficient, an objective function is constructed with the goal of minimizing coal loss. Solving the objective function yields the dispatch instructions for the thermal power plant.

2. The method for minimizing coal loss in thermal power plant operation and scheduling according to claim 1, characterized in that, The method further includes averaging the load command of the power grid and the output active power of the turbine generator set to obtain the filtered load command of the power grid and the filtered output active power of the turbine generator set.

3. The method for minimizing coal loss in thermal power plant operation and scheduling according to claim 1, characterized in that, The load forecast for the power grid at future times is predicted using an LSTM model based on the load command after power grid filtering.

4. The method for minimizing coal loss in thermal power plant operation and scheduling according to claim 1, characterized in that, The operating data of the coal feeder includes the drive motor current value and coal feeding rate; The operating data, output active power, high-pressure regulating valve opening of the steam turbine generator set, and operating speed of the blower were obtained using the XGBoost model to obtain the low calorific value of the coal fed into the furnace.

5. The method for minimizing coal loss in thermal power plant operation and scheduling according to claim 1, characterized in that, The basic heat loss factor of the steam turbine generator set is obtained based on the low calorific value of the coal fed into the furnace and the output active power after filtering. The ambient temperature of the thermal power plant is obtained, and the comprehensive loss factor of the blower is obtained based on the ambient temperature, the lower heating value of the coal fed into the furnace, and the output active power after filtering. The comprehensive loss coupling coefficient is obtained based on the comprehensive loss factor of the blower and the basic heat loss factor of the steam turbine generator set.

6. The method for minimizing coal loss in thermal power plant operation and scheduling according to claim 5, characterized in that, The comprehensive loss factor of the blower is obtained based on the lower heating value of the coal fed into the furnace, the output active power, and the ambient temperature. The specific steps are as follows: The required air mass flow rate is obtained based on the lower heating value of the coal fed into the furnace and the output active power. The actual density of humid air is obtained based on the ambient temperature of a thermal power plant. The mass flow rate of air delivered to the furnace by the blower is obtained based on the actual density of moist air. The comprehensive loss factor of the blower is obtained based on the air mass flow rate delivered to the furnace by the blower and the theoretically required air mass flow rate.

7. The method for minimizing coal loss in thermal power plant operation and scheduling according to claim 1, characterized in that, The objective function is expressed by the formula: ； In the formula, Describe the objective function. , , Indicates the weighting coefficient. Describes the minimum value function. This indicates the opening command of the high-pressure regulating valve of the steam turbine generator set. This indicates the coal feed rate instruction from the coal feeder. This command indicates the air volume supplied by the blower. Indicates that the steam turbine generator set is in The command for the opening degree of the high-pressure regulating valve at all times is: Coal feed rate instruction is The air volume command is The output active power estimate, Indicates in The overall loss coupling coefficient at time step. Indicated as satisfied The theoretical coal feed rate required for the load forecast at a given time. This indicates the design rated active power of the steam turbine generator set, and indicates the grid's... Load forecast at time of day This represents the throttling loss characteristic coefficient of the high-pressure regulating valve of the steam turbine generator set.

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 thermal power plant operation scheduling method for minimizing coal loss as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the thermal power plant operation scheduling method for minimizing coal loss as described in any one of claims 1 to 7.

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