Automatic optimization search calculation method for converted heat supply load based on load conversion coefficient method

Abstract

The present invention relates to an automatic optimization search calculation method for a converted heat supply load based on a load conversion coefficient method. The automatic optimization search calculation method comprises: acquiring data on the basis of a unit design heat supply working condition diagram, and fitting a relationship formula; on the basis of the relationship formula, calculating the difference in the power-generation power of a heat supply extraction steam flow rate at a specific main steam flow rate; on the basis of the difference, calculating a converted heat supply extraction steam load; designing an automatic optimization search loop for the converted heat supply load, determining target loads on the basis of requirements, and setting an optimal comprehensive valve position under different target loads; and using a PID controller to adjust an actual valve position, so as to obtain a correction coefficient of the converted heat supply load for when the actual valve position is the same as the optimal comprehensive valve position, so as to obtain an optimal converted heat supply load. The present invention solves the problems of the calculation of a converted heat supply load under a heat supply working condition of a heat supply unit being inaccurate and it not being possible to adapt to a full-load working condition, further solves the problem of coordinated control of the heat supply working condition being poor, and improves the safe and stable operation of the heat supply unit.

Description

Automatic Optimization Calculation Method for Heating Load Based on Load Conversion Factor Method Technical Field

[0001] This invention relates to the field of automatic control technology for heating units in thermal power plants, and mainly to an automatic optimization calculation method for heating load based on the load conversion factor method. Background Technology

[0002] In recent years, the installed capacity of new energy power generation such as wind power and solar power in my country has developed rapidly, resulting in a widening peak-valley difference in grid load and increasing the grid's demand on the peak-shaving and frequency regulation capabilities of thermal power units. To meet grid demand, thermal power units have had to operate under significantly varying operating conditions for extended periods. Large-capacity, high-parameter supercritical combined heat and power (CHP) units also need to supply steam for industrial use and provide residential heating during the heating season. To adapt to current electricity market demands, CHP units are undergoing flexibility modifications to improve their regulation capabilities. Compared to pure condensing operation, under heating conditions, the units need to provide a large amount of heating demand even with lower electrical loads, causing a problem of thermal-electric decoupling imbalance. This thermal-electric decoupling imbalance leads to water-coal imbalance in heating units during the heating season, large fluctuations in parameters such as main steam temperature, main steam pressure, and superheat, poor dynamic regulation characteristics, reduced load-changing capacity, and inability of the unit's load-changing and primary frequency regulation responses to meet grid demands. These problems seriously affect the safety and economy of unit operation and urgently need to be addressed.

[0003] For example, CN113093544B, "A Flexible Coordinated Control Method for Externally Supplied Steam Units," discloses "a flexible coordinated control method for externally supplied steam units. First, the externally supplied steam flow rate is converted to a calculated load through dimensional transformation. After dynamic correction, the calculated pressure and calculated feedwater flow rate are obtained. The calculated pressure is then dynamically corrected by a comprehensive flow PID closed-loop controller and superimposed with the conventional main steam pressure setting loop to obtain the final main steam pressure setting value. The calculated feedwater flow rate is superimposed with the conventional feedwater flow setting loop to obtain the final feedwater flow setting value. The calculated load is superimposed with the conventional boiler main control output to obtain the final boiler main control output. After the externally supplied steam mode is activated, the source of the BTU fuel quantity setting value is switched from the actual generated power to the main steam flow rate, and the source of the oxygen quantity setting value is switched from the load command to the main steam flow rate." However, the method described above, by converting dimensions to obtain the calculated load, is prone to problems such as inaccurate calculation of the heating calculated load and inability to adapt to full-load conditions. Summary of the Invention

[0004] To address the aforementioned problems in the existing technology, this application provides an automatic optimization calculation method for heating load based on the load conversion factor method.

[0005] The technical solution of this application is as follows:

[0006] An automatic optimization calculation method for heating load based on the load conversion factor method, the method comprising:

[0007] According to the unit's design heating condition diagram, relevant data under different heating steam extraction flow rates are obtained, including power generation and main steam flow rate. Based on the relevant data, a corresponding relationship curve formula is fitted.

[0008] According to the relationship curve formula, calculate the difference in power generation corresponding to the amount of steam extracted for heating under a specific main steam flow rate; based on the difference in power generation, calculate the equivalent load of steam extracted for heating according to the corresponding relationship between the equivalent load of steam extracted for heating and the amount of steam extracted for heating under different extraction rates.

[0009] The design incorporates an automatic optimization loop for heating load conversion. This loop determines the target load based on actual heating demand and unit operating conditions, and sets the optimal integrated valve position under different target loads. A PID controller is used to dynamically adjust the actual valve position to obtain a heating load conversion correction coefficient when the actual valve position is the same as the optimal integrated valve position. The heating load conversion is then adjusted based on this correction coefficient to obtain the optimal heating load conversion.

[0010] Preferably, the relationship between power generation and main steam flow under different heating extraction steam flow rates is expressed by the formula: Main steam flow rate = F(power generation, heating extraction steam flow rate).

[0011] Preferably, based on the difference in power generation, the steam extraction flow rate is used to calculate the equivalent load according to the corresponding relationship between the equivalent load of heating steam extraction and the heating steam extraction rate under different extraction rates. Specifically:

[0012] The average value of the difference in power generation is used as the basis for calculating the equivalent load of steam extraction for heating. The equivalent load per preset unit of steam extraction flow is calculated for different steam extraction volumes. The calculation results are analyzed to obtain the corresponding relationship between the equivalent load of steam extraction for heating and the steam extraction volume under different extraction volumes. A linear regression is then used to fit the curve function corresponding to the steam extraction flow rate and the equivalent load for heating, where:

[0013] The relationship between the heating steam extraction flow rate and the load converted from the steam extraction flow rate under different steam extraction rates is expressed by the formula: P G =K i ×G;

[0014] In the formula, P G Indicates the equivalent load of steam extraction for heating; K i This represents the conversion correction factor for heating steam extraction under different extraction rates; G represents the heating steam extraction rate.

[0015] Preferably, when the actual heating demand changes, the automatic optimization loop for the heating load adjusts the target load according to the current actual heating demand and the unit status; when the heating load changes, the heating load correction coefficient remains unchanged.

[0016] Preferably, the PID controller includes proportional control, integral control, and derivative control, wherein:

[0017] The proportional control adjusts the correction coefficient based on the error between the actual value and the target value of the heating load, expressed by the formula: P out =K p ×e(t);

[0018] In the formula, P out Indicates the output of proportional control; K p This represents the proportionality coefficient; e(t) represents the error between the actual value and the target value of the heating load.

[0019] The integral control adjusts the correction coefficient based on accumulated historical errors to eliminate long-term errors, as expressed by the formula:

[0020] In the formula, I out Indicates the output of integral control; K i Indicates the integral coefficient; This represents the cumulative value of the error;

[0021] The differential control adjusts the correction coefficient by predicting the trend of error change, as expressed by the formula:

[0022] In the formula, D out Indicates the output of differential control; K d Represents the differential coefficient; This represents the rate of change of the error. Preferably, the total output of the PID controller is PID... out This can be expressed as a formula: PID out =P out +I out +D out .

[0023] An automatic optimization calculation system for heating load based on the load conversion factor method is provided. The system includes a data acquisition module, a fitting module, a difference calculation module, a load calculation module, a target load determination module, a control module, and an adjustment module, wherein:

[0024] The data acquisition module is used to acquire relevant data under different heating steam extraction flow rates according to the unit's design heating condition diagram, including power generation and main steam flow rate;

[0025] The fitting module is used to fit a corresponding relationship curve formula based on the relevant data;

[0026] The difference calculation module is used to calculate the difference in power generation corresponding to the heating extraction steam volume under a specific main steam flow rate, based on the fitted corresponding relationship curve formula.

[0027] The load calculation module is used to calculate the load equivalent to the heating extraction steam flow rate based on the difference in power generation.

[0028] The target load determination module is used to determine the target load based on the actual heating demand and to set the optimal integrated valve position under different target loads;

[0029] The control module has a built-in PID controller, which dynamically adjusts the actual valve position to obtain the heating load correction coefficient when the actual valve position is the same as the optimal final valve position.

[0030] The adjustment module is used to adjust the heating load according to the heating load correction coefficient to obtain the optimal heating load.

[0031] Preferably, the difference calculation module specifically comprises:

[0032] The average value of the difference in power generation is used as the basis for calculating the equivalent load of steam extraction for heating. The equivalent load per preset unit of steam extraction flow is calculated for different steam extraction volumes. The calculation results are analyzed to obtain the corresponding relationship between the equivalent load of steam extraction for heating and the steam extraction volume under different extraction volumes. A linear regression is then used to fit the curve function corresponding to the steam extraction flow rate and the equivalent load for heating, where:

[0033] The relationship between the heating steam extraction flow rate and the load converted from the steam extraction flow rate under different steam extraction rates is expressed by the formula: P G =K i ×G;

[0034] In the formula, P G Indicates the equivalent load of steam extraction for heating; K i This represents the conversion correction factor for heating steam extraction under different extraction rates; G represents the heating steam extraction rate.

[0035] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the automatic optimization calculation method for heating load based on the load conversion factor method as described in any one of the embodiments.

[0036] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the automatic optimization calculation method for heating load based on the load conversion factor method as described in any one of the embodiments.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] 1) This invention provides an automatic optimization calculation method for heating equivalent load based on the load conversion factor method. The method for calculating heating equivalent load by the load conversion factor method introduces a correction factor. Through the precise adjustment of this factor, the estimation error in the traditional load calculation method is reduced, and the accuracy of heating equivalent load calculation under different operating conditions is improved.

[0039] 2) This invention provides an automatic optimization calculation method for heating load conversion based on the load conversion factor method. It is designed with an automatic optimization loop, which is more compatible with the actual operating conditions of the unit, reduces the reliance on manual intervention, reduces maintenance costs and human resource input, and improves calculation efficiency and system stability.

[0040] 3) This invention provides an automatic optimization calculation method for heating load conversion based on the load conversion factor method. It introduces a main steam flow correction factor and uses a PID controller to adjust the correction factor, thereby realizing real-time optimization of the main steam flow, improving the adaptability of the control strategy, and enhancing the stability and adaptability of the system. Attached Figure Description

[0041] Figure 1 is a flowchart of a method according to an embodiment of the present invention;

[0042] Figure 2 is a diagram of the design heating conditions according to an embodiment of the present invention;

[0043] Figure 3 is a schematic diagram of the automatic optimization principle of heating load conversion according to an embodiment of the present invention. Detailed Implementation

[0044] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0045] This invention provides the following technical solution: an automatic optimization calculation method for heating load based on the load conversion factor method.

[0046] Example 1

[0047] This embodiment provides an automatic optimization calculation method for heating load based on the load conversion factor method. The specific steps include:

[0048] S1. Obtain relevant data under different heating steam extraction flow rates according to the unit design heating condition diagram, including power generation and main steam flow rate, and fit the corresponding relationship curve formula according to the relevant data;

[0049] S11, Design Heating Condition Diagram

[0050] Please refer to Figure 2. The design heating condition diagram is a line graph reflecting the relationship between the power of the cogeneration turbine, the main steam flow rate, and the regulating extraction steam flow rate. The main steam flow rate is plotted on the vertical axis, and the minimum supply heating flow rate is plotted on the horizontal axis. "G" represents the heating load in thermal power (e.g., kilowatts or megawatts), representing the heat required by the system. "t / h" represents the heat load in hours. The relationship between these two values ​​describes the total heat required by the system over a given period, expressed by the formula:

[0051] In the formula, t represents unit time, Q(t) represents instantaneous heat load at time t, where 1G = 0 t / h, 2G = 130 t / h, 3G = 265 t / h, 4G = 400 t / h, and 5G = 510 t / h;

[0052] The relevant data obtained from the design heating operation diagram under different heating steam extraction flow rates are shown in Table 1:

[0053] Table 1. Correspondence between main steam flow rate and power generation under heating steam extraction rate

[0054] S12, Fitting Curve Formula

[0055] The obtained data is cleaned, including handling missing values, outliers, and standardizing data format. Based on the correspondence between main steam flow rate and power generation in Table 1, a formula is fitted to represent the relationship between main steam flow rate and power generation under the heating extraction steam rate:

[0056] In the formula, D represents the main steam flow rate; G i P represents the amount of steam extracted for heating; E This indicates the power generation capacity.

[0057] S2. Calculate the difference in power generation corresponding to the amount of steam extracted for heating under a specific main steam flow rate, based on the relationship curve formula. Calculate the equivalent load of steam extracted for heating based on the difference in power generation and the corresponding relationship between the equivalent load of steam extracted for heating and the amount of steam extracted for heating under different extraction rates.

[0058] S21, Load Conversion Factor Method

[0059] The basic principle of the load conversion factor method for calculating the equivalent heating load is that when the unit's heating steam extraction flow rate is constant, the power generation power and the main steam flow rate are linearly related; when the power generation power is constant, there is a specific functional relationship between the main steam flow rate and the heating steam extraction amount; based on the functional relationship between the power generation power, the main steam flow rate, and the heating steam extraction amount, we obtain the main steam flow rate = F(power generation power, heating steam extraction amount).

[0060] According to formula (2), when the amount of steam extracted for heating remains constant, there is a linear relationship between the main steam flow rate and the power generation. Based on the functional relationship of main steam flow rate = F(power generation, amount of steam extracted for heating), the difference in power generation corresponding to the amount of steam extracted for heating under a specific main steam flow rate is calculated. The calculation results are shown in Table 2.

[0061] S22. Analyze the variation of the difference in power generation, calculate the equivalent load per 10t / h of steam extraction flow under different heating steam extraction rates, establish the relationship between heating steam extraction flow and the equivalent load of steam extraction flow, and fit the corresponding curve function.

[0062] Table 2. Difference in power generation output under different heating steam extraction intervals

[0063] S221. Analyze the changes in the power generation difference.

[0064] Please refer to Table 2. When the steam extraction rate for heating is less than 400 t / h, the increase in power generation decreases at each main steam flow interval under different extraction rate intervals. When the steam extraction rate for heating is greater than 400 t / h, the increase in power generation increases with the increase in main steam flow, and the increase is relatively large. However, this is an extreme condition. Therefore, the average value of the increase in power generation is considered as the basis for calculating the equivalent load of steam extraction for heating.

[0065] The average increase in power generation was used as the basis for calculating the equivalent load of steam extraction for heating. The equivalent load per 10 t / h of steam extraction flow was calculated for different steam extraction rates. The calculation results were summarized, revealing a corresponding relationship between the equivalent load of steam extraction for heating and the steam extraction rate at different extraction rates. This relationship is expressed by the formula: P G =K i ×G; (3)

[0066] In the formula, P G Indicates the equivalent load of steam extraction for heating; K i denoted by , which represents the correction factor for heating steam extraction under different extraction rates; G represents the heating steam extraction rate; and f1(x) is the function that fits the curve of heating steam extraction flow rate versus heating equivalent load.

[0067] S3. Design an automatic optimization loop for heating load conversion. The automatic optimization loop for heating load conversion determines the target load based on the actual heating demand and unit operating conditions, and sets the optimal comprehensive valve position under different target loads. A PID controller is used to dynamically adjust the actual valve position to obtain the heating load conversion correction coefficient when the actual valve position is the same as the optimal comprehensive valve position. The heating load conversion is adjusted according to the heating load conversion correction coefficient to obtain the optimal heating load conversion.

[0068] S31, Correction Factor

[0069] Correction factors are typically used to adjust or correct the calculation or prediction results of a certain quantity to take into account possible errors or unconsidered factors in actual operation. In heating or power generation systems, correction factors can be used to correct the difference between theoretical calculations and actual operation to improve the accuracy of calculations or adapt to changes in actual conditions.

[0070] When heating is put into operation, a correction coefficient for the heating load is introduced based on the main steam flow rate. The heating extraction steam load curve function f1(x) is calculated using the load conversion coefficient method. The heating load is corrected under different operating conditions, and the heating load is calculated to eliminate the calculation error under different operating conditions. The curve function corresponding to the main steam flow rate correction coefficient is f2(x).

[0071] According to the comparison between the unit operation data and the calculated equivalent load of the heating extraction steam calculated according to the formula (3), the calculation error is within 2%, which meets the engineering calculation requirements. Therefore, the equivalent load of the heating extraction steam can be calculated using the equivalent load factor method.

[0072] S32, Automatic Optimization Loop

[0073] Please refer to Figure 3 to design an automatic optimization loop, where 1 represents the difference algorithm block, 2 represents the AND algorithm block, 3 represents the PID algorithm block, 4 represents the switch quantity switching algorithm block, 5 represents the switch quantity algorithm block, 6 represents the rate limiting algorithm block, 7 represents the multiplication algorithm block, f1(x) represents the heating extraction steam converted load curve function, f2(x) represents the main steam flow correction coefficient corresponding curve function, f3(x) represents the optimal turbine comprehensive command corresponding curve function under different loads, and f4(x) represents the turbine comprehensive command deviation control curve function.

[0074] Since maintaining the turbine's comprehensive command at 87% generally ensures both minimal turbine throttling losses and the unit's ability to operate under varying loads and primary frequency regulation, an automatic optimization strategy for the heating load is introduced. Based on specific circumstances, different optimal turbine comprehensive command curve functions f3(x) are set for different loads. A PID controller (Proportional-Integral-Derivative, PID) is used to calculate the heating load correction coefficient that satisfies the optimal comprehensive valve position, ensuring the turbine comprehensive command is at 87%. The turbine comprehensive command deviation control curve function is f4(x), which yields the optimal heating load, allowing the actual turbine comprehensive command to reach the ideal value.

[0075] This loop functions when heating conversion and coordination control are activated; the correction coefficient remains unchanged during load changes to prevent the loop from interfering with load changes; and the optimal heating conversion load is obtained by combining the heating extraction steam conversion load.

[0076] S33, PID controllers include proportional control, integral control and derivative control;

[0077] The proportional control adjusts the correction coefficient based on the error between the actual value and the target value of the heating load, expressed by the formula: P out =K p ×e(t);

[0078] In the formula, P out Indicates the output of proportional control; K p This represents the proportionality coefficient; e(t) represents the error between the actual value and the target value of the heating load.

[0079] The integral control adjusts the correction coefficient based on accumulated historical errors to eliminate long-term errors, as expressed by the formula:

[0080] In the formula, I out Indicates the output of integral control; K i Indicates the integral coefficient; This represents the cumulative value of the error;

[0081] The differential control adjusts the correction coefficient by predicting the trend of error change, as expressed by the formula:

[0082] In the formula, D out Indicates the output of differential control; K d Represents the differential coefficient; Indicates the rate of change of error;

[0083] The total output PID of the PID controllerout This can be expressed as a formula: PID out =P out +I out +D out .

[0084] Example 2

[0085] This embodiment provides an automatic optimization calculation system for heating load based on the load conversion factor method. The system includes a data acquisition module, a fitting module, a difference calculation module, a load calculation module, a target load determination module, a control module, and an adjustment module, wherein:

[0086] The data acquisition module is used to acquire relevant data under different heating steam extraction flow rates according to the unit's design heating condition diagram, including power generation and main steam flow rate;

[0087] The fitting module is used to fit a corresponding relationship curve formula based on the relevant data;

[0088] The difference calculation module is used to calculate the difference in power generation corresponding to the heating extraction steam volume under a specific main steam flow rate, based on the fitted corresponding relationship curve formula.

[0089] The load calculation module is used to calculate the load equivalent to the heating extraction steam flow rate based on the difference in power generation.

[0090] The target load determination module is used to determine the target load based on the actual heating demand and to set the optimal integrated valve position under different target loads;

[0091] The control module has a built-in PID controller, which dynamically adjusts the actual valve position to obtain the heating load correction coefficient when the actual valve position is the same as the optimal final valve position.

[0092] The adjustment module is used to adjust the heating load according to the heating load correction coefficient to obtain the optimal heating load.

[0093] Example 3

[0094] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the automatic optimization calculation method for heating load based on the load conversion factor method as described in any one of Embodiment 1.

[0095] Example 4

[0096] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the automatic optimization calculation method for heating load based on the load conversion factor method as described in any one of Embodiment 1.

[0097] It is worth noting that the system, electronic device, and computer-readable storage medium described in this invention are all based on the same principle as the method described in Embodiment 1, and will not be repeated here.

[0098] 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. An automatic optimization calculation method for heating load based on the load conversion factor method, characterized in that, The method includes: According to the unit's design heating condition diagram, relevant data under different heating steam extraction flow rates are obtained, including power generation and main steam flow rate. Based on the relevant data, a corresponding relationship curve formula is fitted. According to the relationship curve formula, calculate the difference in power generation corresponding to the amount of steam extracted for heating under a specific main steam flow rate; based on the difference in power generation, calculate the equivalent load of steam extracted for heating according to the corresponding relationship between the equivalent load of steam extracted for heating and the amount of steam extracted for heating under different extraction rates. The design incorporates an automatic optimization loop for heating load conversion. This loop determines the target load based on actual heating demand and unit operating conditions, and sets the optimal integrated valve position under different target loads. A PID controller is used to dynamically adjust the actual valve position to obtain a heating load conversion correction coefficient when the actual valve position is the same as the optimal integrated valve position. The heating load conversion is then adjusted based on this correction coefficient to obtain the optimal heating load conversion.

2. The automatic optimization calculation method for heating load based on the load conversion factor method according to claim 1, characterized in that, The relationship between power generation and main steam flow under different heating extraction steam flow rates is expressed by the formula: Main steam flow rate = F(power generation, heating extraction steam flow rate).

3. The automatic optimization calculation method for heating load based on the load conversion factor method according to claim 2, characterized in that, Based on the difference in power generation, the steam extraction flow rate is used to calculate the equivalent load according to the corresponding relationship between the equivalent load of heating extraction steam and the heating extraction steam volume under different extraction steam volumes. Specifically: The average value of the difference in power generation is used as the basis for calculating the equivalent load of steam extraction for heating. The equivalent load per preset unit of steam extraction flow is calculated for different steam extraction volumes. The calculation results are analyzed to obtain the corresponding relationship between the equivalent load of steam extraction for heating and the steam extraction volume under different extraction volumes. A linear regression is then used to fit the curve function corresponding to the steam extraction flow rate and the equivalent load for heating, where: The relationship between the heating steam extraction flow rate and the load converted from the steam extraction flow rate under different steam extraction rates is expressed by the following formula: P G =K i ×G; In the formula, P G Indicates the equivalent load of steam extraction for heating; K i This represents the conversion correction factor for heating steam extraction under different extraction rates; G represents the heating steam extraction rate.

4. The automatic optimization calculation method for heating load based on the load conversion factor method according to claim 3, characterized in that, When the actual heating demand changes, the automatic optimization loop for the heating load adjusts the target load according to the current actual heating demand and the unit status; when the heating load changes, the heating load correction coefficient remains unchanged.

5. The automatic optimization calculation method for heating load based on the load conversion factor method according to claim 4, characterized in that, PID controllers include proportional control, integral control, and derivative control, among which: The proportional control adjusts the correction coefficient based on the error between the actual value and the target value of the heating load, as expressed by the formula: P out =K p ×e(t); In the formula, P out Indicates the output of proportional control; K p This represents the proportionality coefficient; e(t) represents the error between the actual value and the target value of the heating load. The integral control adjusts the correction coefficient based on accumulated historical errors to eliminate long-term errors, as expressed by the formula: In the formula, I out Indicates the output of integral control; K i Indicates the integral coefficient; This represents the cumulative value of the error; The differential control adjusts the correction coefficient by predicting the trend of error change, as expressed by the formula: In the formula, D out Indicates the output of differential control; K d Represents the differential coefficient; This represents the rate of change of the error.

6. The automatic optimization calculation method for heating load based on the load conversion factor method according to claim 5, characterized in that, The total output PID of the PID controller out This can be expressed as a formula: PID out =P out +I out +D out .

7. An automatic optimization calculation system for heating load based on the load conversion factor method, characterized in that, The system includes a data acquisition module, a fitting module, a difference calculation module, a load calculation module, a target load determination module, a control module, and an adjustment module, wherein: The data acquisition module is used to acquire relevant data under different heating steam extraction flow rates according to the unit's design heating condition diagram, including power generation and main steam flow rate; The fitting module is used to fit a corresponding relationship curve formula based on the relevant data; The difference calculation module is used to calculate the difference in power generation corresponding to the heating extraction steam volume under a specific main steam flow rate, based on the fitted corresponding relationship curve formula. The load calculation module is used to calculate the load equivalent to the heating extraction steam flow rate based on the difference in power generation. The target load determination module is used to determine the target load based on the actual heating demand and to set the optimal integrated valve position under different target loads; The control module has a built-in PID controller, which dynamically adjusts the actual valve position to obtain the heating load correction coefficient when the actual valve position is the same as the optimal final valve position. The adjustment module is used to adjust the heating load according to the heating load correction coefficient to obtain the optimal heating load.

8. The automatic optimization calculation system for heating load based on the load conversion factor method according to claim 7, characterized in that, The difference calculation module specifically includes: The average value of the difference in power generation is used as the basis for calculating the equivalent load of steam extraction for heating. The equivalent load per preset unit of steam extraction flow is calculated for different steam extraction volumes. The calculation results are analyzed to obtain the corresponding relationship between the equivalent load of steam extraction for heating and the steam extraction volume under different extraction volumes. A linear regression is then used to fit the curve function corresponding to the steam extraction flow rate and the equivalent load for heating, where: The relationship between the heating steam extraction flow rate and the load converted from the steam extraction flow rate under different steam extraction rates is expressed by the following formula: P G =K i ×G; In the formula, P G Indicates the equivalent load of steam extraction for heating; K i This represents the conversion correction factor for heating steam extraction under different extraction rates; G represents the heating steam extraction rate.

9. 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 automatic optimization calculation method for heating load based on the load conversion factor method as described in any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the automatic optimization calculation method for heating load based on the load conversion factor method as described in any one of claims 1 to 6.

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