Economical heat supply method and economical heat supply system based on coupling model

Abstract

The invention provides an economical heat supply method and system based on a coupling model. The economical heat supply method comprises the steps that the coupling model of a unit is constructed according to composition data of the unit; adjusting equipment parameters of the coupling model according to the real operation data under different operation conditions and simulation operation data output by the coupling model, so that the coupling model meets a reliability condition; and according to the load output plan and the historical frequency modulation data of the unit, the coupling model takes the frequency modulation reliability and economy as targets, and the adjustment strategies of the direct heat supply system of the unit in different time periods are determined. A coupling model is constructed through unit data, and the reliability of the coupling model is adjusted, so that the reliability and economical efficiency of unit frequency modulation are considered.

Description

Technical Field

[0001] The present application belongs to the technical field of boilers, and in particular, relates to an economical heating method and an economical heating system based on a coupling model. Background Art

[0002] The primary frequency modulation response of the existing unit is realized by DEH. When there is an AGC primary frequency modulation signal, the frequency deviation signal converted by the speed inequality rate is converted into the valve opening change corresponding to the primary frequency modulation power increase through the calculation module, and then converted into the turbine high-pressure regulating valve opening instruction and transmitted to the valve actuator to change the valve opening to meet the grid load. In this process, the valve inevitably produces throttling loss.

[0003] In order to achieve the economic efficiency of improving the heating of the unit, for example, CN202110205750.2 "A primary frequency modulation method, device, equipment and computer-readable storage medium" gives priority to the use of extraction valve adjustment, heating extraction steam adjustment, and boiler heat storage adjustment for primary frequency modulation, so as to avoid the complete use of turbine valve adjustment to achieve primary frequency modulation, thereby reducing throttling losses and improving the efficiency and economic performance of the unit. However, the above technical solution has the following technical problems: some power plants need to adopt direct heating method for heating, that is, the main steam produced by the boiler is directly sent to the temperature reducer and pressure reducer, and after cooling and reducing pressure, the heating steam with specified parameters is obtained and supplied to heat users. This improves the reliability of frequency increase, but also reduces the utilization efficiency of high-quality thermal energy.

[0004] Therefore, how to achieve both the reliability and economy of unit frequency regulation under direct heating mode has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] The technical problem solved by the present application is: how to provide an economical heating method and system based on a coupling model to take into account both the reliability and economy of the unit frequency regulation.

[0006] The present application provides an economical heating method based on a coupling model, and the economical heating method comprises:

[0007] A coupling model of the unit is constructed according to the composition data of the unit;

[0008] Adjusting the device parameters of the coupling model according to the real operation data under different operation conditions and the simulated operation data output by the coupling model, so that the coupling model meets the reliability condition;

[0009] According to the load output plan and historical frequency regulation data of the unit, the coupling model determines the regulation strategy of the direct heating system of the unit in different time periods with the frequency regulation reliability and economy as the goals.

[0010] Optionally, the composition data includes the type of unit equipment and equipment parameters of the unit equipment, and the method for constructing a coupling model of the unit according to the composition data of the unit includes:

[0011] According to the type of the unit equipment, the equipment parameters of the unit equipment and the connection relationship between different unit equipment, a coupling model of the unit is constructed.

[0012] Optionally, the economical heating method further comprises determining whether the coupling model satisfies a reliability condition:

[0013] Calculating the deviation between the actual operating data under different operating conditions and the simulated operating data output by the coupling model;

[0014] Determine the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determine the deviation coefficient of the coupling model under different operating conditions according to the quantity proportion of the deviation dimension;

[0015] A comprehensive deviation coefficient of a simulation result of the coupling model is determined according to each of the deviation coefficients, and whether the coupling model meets a reliability condition is determined according to the comprehensive deviation coefficient.

[0016] Optionally, the method of determining the comprehensive deviation coefficient of the simulation result of the coupling model according to the deviation coefficients is: taking the average value of the deviation coefficients as the comprehensive deviation coefficient.

[0017] Optionally, the method of adjusting the device parameters of the coupling model according to the real operation data under different operation conditions and the simulated operation data output by the coupling model so that the coupling model meets the reliability condition includes:

[0018] Determining the deviation probability of equipment parameters of different dimensions in the coupling model according to the deviation between the real operation data under different operation conditions and the simulated operation data output by the coupling model;

[0019] Determining suspected deviation device parameters among the device parameters according to the deviation probability;

[0020] The parameter adjustment sequence of different devices is determined according to the number of the suspected deviation device parameters and the deviation probability, and the parameters of the adjustment devices are adjusted according to the parameter adjustment sequence until the coupling model meets the reliability condition.

[0021] Optionally, the method for determining the deviation probability of device parameters of different dimensions in the coupling model includes:

[0022] Calculating the deviation between the actual operating data under different operating conditions and the simulated operating data output by the coupling model;

[0023] Calculating the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determining the correlation coefficient of the equipment parameter when deviation occurs under different operating conditions according to the deviation dimension;

[0024] The associated operating conditions of the operating conditions are determined according to the associated coefficients, and the deviation probability of the equipment parameters is determined according to the proportion of the number of the associated operating conditions.

[0025] Optionally, the method for determining the correlation coefficient of the device parameter when deviations occur under different operating conditions according to the deviation dimension is: determining the correlation coefficient according to the proportion of the number of deviation dimensions that will cause data deviation under different operating conditions.

[0026] Optionally, the method for determining the suspected deviation device parameter in the device parameter according to the deviation probability is: when the deviation probability of the device parameter is greater than or equal to a preset deviation probability threshold, determining that the device parameter is a suspected deviation device parameter.

[0027] The present application also provides an economical heating system based on a coupling model, the economical heating system comprising:

[0028] A model building module, wherein the model building module is used to build a coupling model of the unit according to the component data of the unit;

[0029] A reliability adjustment module, the reliability adjustment module is used to adjust the device parameters of the coupling model according to the real operation data under different operation conditions and the simulation operation data output by the coupling model, so that the coupling model meets the reliability conditions;

[0030] The regulation strategy output module is used to determine the regulation strategy of the direct heating system of the unit in different time periods based on the load output plan and historical frequency regulation data of the unit and the coupling model with the frequency regulation reliability and economy as the goals.

[0031] Optionally, the reliability adjustment module is further used to determine whether the coupling model meets the reliability condition: calculate the deviation between the actual operating data under different operating conditions and the simulated operating data output by the coupling model; determine the deviation dimension of the coupling model under different operating conditions according to the deviation, and determine the deviation coefficient of the coupling model under different operating conditions according to the number ratio of the deviation dimension; determine the comprehensive deviation coefficient of the simulation result of the coupling model according to each of the deviation coefficients, and determine whether the coupling model meets the reliability condition according to the comprehensive deviation coefficient.

[0032] The present application provides an economical heating method and an economical heating system based on a coupling model, which have the following technical effects:

[0033] A coupling model is constructed through unit data, and the reliability of the coupling model is adjusted. The regulation strategy is obtained by combining the load output plan and historical frequency regulation data to take into account both the reliability and economy of unit frequency regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A flowchart of an economical heating method based on a coupling model according to one or more embodiments;

[0035] Figure 2 The schematic diagram is a schematic diagram of an economical heating system based on a coupling model according to one or more embodiments. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0037] Before describing in detail the various embodiments of the present application, the technical concept of the present application is first briefly described: when power plants currently use direct heating to provide heat, it is difficult to take into account both reliability and economy when the unit performs frequency modulation. To this end, the economical heating method based on a coupling model provided by the present application first constructs a coupling model of the unit, then adjusts the equipment parameters of the coupling model to improve the reliability of the coupling model, and finally inputs the load output plan and historical frequency modulation data of the unit into the coupling model to determine the adjustment strategy of the direct heating system in different time periods, which can take into account both the reliability and economy of the unit frequency modulation. The specific principles of the economical heating method based on a coupling model of the present application are described below in conjunction with more embodiments.

[0038] Specifically, Figure 1 As shown, the economical heating method based on the coupling model in this embodiment includes:

[0039] Step S10: constructing a coupling model of the unit according to the composition data of the unit;

[0040] Step S20: adjusting the device parameters of the coupling model according to the real operation data under different operation conditions and the simulated operation data output by the coupling model, so that the coupling model meets the reliability condition;

[0041] Step S30: According to the load output plan and historical frequency regulation data of the unit, the coupling model determines the regulation strategy of the direct heating system of the unit in different time periods with the frequency regulation reliability and economy as the goal.

[0042] Exemplarily, the composition data of the unit in step S10 includes the type of unit equipment and equipment parameters of the unit equipment. The method for constructing a coupling model of the unit based on the composition data of the unit includes: constructing a coupling model of the unit based on the type of unit equipment, equipment parameters of the unit equipment and connection relationships between different unit equipment.

[0043] In one or more embodiments, in step S20, the method of adjusting the device parameters of the coupling model according to the real operation data under different operating conditions and the simulated operation data output by the coupling model so that the coupling model meets the reliability condition includes the following steps:

[0044] Step S21: determining the deviation probability of equipment parameters of different dimensions in the coupling model according to the deviation between the actual operation data under different operation conditions and the simulated operation data output by the coupling model;

[0045] Step S22: determining suspected deviation device parameters among the device parameters according to the deviation probability;

[0046] Step S23: Determine the parameter adjustment sequence of different devices according to the number of suspected deviation device parameters and the deviation probability, and adjust the device parameters according to the parameter adjustment sequence until the coupling model meets the reliability condition.

[0047] Exemplarily, the method for determining the deviation probability of device parameters of different dimensions in the coupling model in step S21 includes the following steps:

[0048] Step S211, calculating the deviation between the real operating data under different operating conditions and the simulated operating data output by the coupling model;

[0049] Step S212, calculating the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determining the correlation coefficient when the equipment parameters deviate under different operating conditions according to the deviation dimension;

[0050] Step S213: determining the associated operating conditions of the operating conditions according to the associated coefficients, and determining the deviation probability of the equipment parameters according to the proportion of the number of associated operating conditions.

[0051] Exemplarily, step S212 determines the correlation coefficient according to the number ratio of deviation dimensions that may cause data deviation under different operating conditions, and specifically includes the following sub-steps:

[0052] Step S2121: Based on the deviation amount of the operating data in different dimensions under different operating conditions, determine the deviation dimension under different operating conditions. When the equipment parameters will not cause the deviation dimension to deviate, it is determined that the equipment parameters do not belong to suspected deviation equipment parameters. When the equipment parameters will cause the deviation dimension to deviate, proceed to step S2122.

[0053] Step S2122: determine the number of associated deviation dimensions based on the number of deviation dimensions that cause data deviations under different operating conditions of the equipment parameters. When the number of associated deviation dimensions is less than the preset number of deviation dimensions, it is determined that the equipment parameters do not belong to suspected deviation equipment parameters. When the number of associated deviation dimensions is not less than the preset number of deviation dimensions, proceed to step S2123.

[0054] Step S2123: Based on the deviation of the operating data in different dimensions under different operating conditions, determine the deviation dimensions under different operating conditions, and combine the deviation of the operating data in different deviation dimensions to determine the correlation coefficient of the equipment parameters causing data deviation under different operating conditions. When there is no operating condition where the correlation coefficient meets the requirements, it is determined that the equipment parameter does not belong to the suspected deviation equipment parameter. When there is an operating condition where the correlation coefficient meets the requirements, go to step S213.

[0055] Exemplarily, step S213 includes the following sub-steps:

[0056] Step S2131, determining the associated operating conditions according to the correlation coefficients causing data deviations under different operating conditions, when the number of associated operating conditions is less than the preset threshold of the number of associated operating conditions, proceeding to step S2132, when the number of associated operating conditions is not less than the preset threshold of the number of associated operating conditions, proceeding to step S2133;

[0057] Step S2132, determining the weight coefficients under different operating conditions according to the number of deviation dimensions under different operating conditions, when the weight coefficients under the associated operating conditions are all less than the preset weight coefficient threshold, it is determined that the equipment parameter does not belong to the suspected deviation equipment parameter, and when the weight coefficients under the associated operating conditions are not all less than the preset weight coefficient threshold, proceeding to step S2133;

[0058] Step S2133: Determine the deviation probability of the equipment parameter by using the weight coefficients under different operating conditions and combining the correlation coefficients causing data deviation under different operating conditions.

[0059] Exemplarily, in step S22, when the deviation probability of the device parameter is greater than or equal to a preset deviation probability threshold, the device parameter is determined to be a suspected deviation device parameter.

[0060] Exemplarily, in step S23, the method for determining the parameter adjustment order includes the following steps:

[0061] Step S231, based on the number of suspected deviation device parameters of different devices in the coupling model and in combination with a preset device parameter proportional factor, determining the deviation probability of device parameters of different devices;

[0062] Step S232, determining the abnormal device parameters in the suspected deviation device parameters in the coupling model by the deviation probability, and determining the abnormal proportion coefficient of the device by the number ratio of the abnormal device parameters;

[0063] Step S233: determining the parameter deviation abnormality coefficient of the equipment based on the equipment parameter deviation probability and the abnormality ratio coefficient, and determining the parameter adjustment sequence of the equipment through the parameter deviation abnormality coefficient.

[0064] Exemplarily, step S231 includes the following sub-steps:

[0065] Step S2311: Based on the number of suspected deviation device parameters of different devices in the coupling model, determine whether the number of suspected deviation device parameters of the device is greater than the preset number of parameters; if so, proceed to step S2312; if not, proceed to step S2313;

[0066] Step S2312: determining a suspected deviation parameter proportional factor of the device based on the number of suspected deviation parameters of the device and the number of device parameters of the device; when the suspected deviation parameter proportional factor of the device does not meet the requirement, determining the priority of parameter adjustment of the device as the first level, and determining the parameter adjustment order of the device by using the suspected deviation parameter proportional factor of the device; when the suspected deviation parameter proportional factor of the device meets the requirement, proceeding to step S2313;

[0067] Step S2313: Determine the probability of device parameter deviation of different devices based on the number of suspected deviation device parameters of different devices in the coupling model and in combination with a preset device parameter proportional factor.

[0068] Exemplarily, step S232 includes the following sub-steps:

[0069] Step S2321, determining the abnormal device parameters in the suspected deviation device parameters in the coupling model by the deviation probability, when the number of abnormal device parameters in the device is greater than the preset number of device parameters, proceeding to step S2322, when the number of abnormal device parameters in the device is not greater than the preset number of device parameters, proceeding to step S2323;

[0070] Step S2322, determining the device abnormality ratio coefficient of the device according to the ratio of the number of abnormal device parameters in the device to the number of device parameters in the device; when the device abnormality ratio coefficient of the device is not within the preset ratio interval, proceeding to step S2323; when the device abnormality ratio coefficient of the device is within the preset ratio interval, proceeding to step S2324;

[0071] Step S2323: determining a comprehensive deviation probability factor of the device based on the number of abnormal device parameters in the device, the proportion of the number of device parameters in the device, and the deviation probabilities of different abnormal device parameters; when the comprehensive deviation probability factor of the device does not meet the requirements, determining the priority of parameter adjustment of the device as the second level, and determining the parameter adjustment order of the device using the suspected deviation parameter proportional factor of the device; when the comprehensive deviation probability factor of the device meets the requirements, proceeding to step S324;

[0072] Step S2324: determine the abnormal proportion coefficient of the equipment by the proportion of the number of abnormal equipment parameters.

[0073] Exemplarily, in step S233, the parameter deviation anomaly coefficient of the device is determined according to the product of the deviation probability average and the device parameter deviation probability. The method for determining the parameter adjustment sequence of the device by the parameter deviation anomaly coefficient is: determining the parameter adjustment sequence of the device by the parameter deviation anomaly coefficient from large to small.

[0074] In one or more embodiments, the economical heating method further includes determining whether the coupling model satisfies a reliability condition, including the following sub-steps:

[0075] Step S41: Calculate the deviation between the real operating data under different operating conditions and the simulated operating data output by the coupling model;

[0076] Step S42: determining the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determining the deviation coefficient of the coupling model under different operating conditions according to the number ratio of the deviation dimension;

[0077] Step S43: determining a comprehensive deviation coefficient of the simulation result of the coupling model according to each deviation coefficient, and determining whether the coupling model meets the reliability condition according to the comprehensive deviation coefficient.

[0078] Exemplarily, the method of determining the comprehensive deviation coefficient of the simulation result of the coupling model according to each deviation coefficient is: taking the average value of each deviation coefficient as the comprehensive deviation coefficient. When the comprehensive deviation coefficient of the simulation result of the coupling model is within the preset deviation coefficient interval, it is determined that the reliability of the simulation result of the coupling model does not meet the requirements. When the coupling model meets the reliability condition, the adjustment strategy of the direct heating system of the unit in different time periods is determined directly based on the coupling model.

[0079] In another embodiment, step S42 may be: determining the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determining the comprehensive deviation amount of the coupling model under different operating conditions according to the number ratio of the deviation dimension and the deviations of different deviation dimensions;

[0080] Step S43 may be: determining a model reliability coefficient of a simulation result of the coupling model according to the comprehensive deviation, and determining whether the coupling model meets a reliability condition according to the model reliability coefficient.

[0081] Specifically, in another embodiment, before entering step S42, it is also necessary to determine whether the deviations between the simulated operating data and the actual operating data of the coupling model under different operating conditions are all within the preset deviation range. When the deviations between the coupling model and the actual operating data under different operating conditions are all within the preset deviation range, it is determined that the reliability of the simulation result of the coupling model meets the requirements. When the deviations between the coupling model and the actual operating data under different operating conditions are not within the preset deviation range, step S42 is entered again.

[0082] Exemplarily, step S42 includes the following sub-steps:

[0083] Step S421: Determine the deviation dimension of the operating data under different operating conditions based on the deviation amount. When the total number of deviation dimensions is within a preset dimension number interval, determine that the reliability of the simulation result of the coupling model meets the requirement. When the total number of deviation dimensions is not within the preset dimension number interval, proceed to step S422.

[0084] Step S422: The operating conditions with deviation dimensions are regarded as deviation operating conditions. When the number of deviation operating conditions is less than the preset number of operating conditions, the process proceeds to step S423. When the number of deviation operating conditions is not less than the preset number of operating conditions, the process proceeds to step S424.

[0085] Step S423: when the number of deviation dimensions under different deviation operating conditions is within the preset dimension number interval and there is no deviation dimension whose deviation is greater than the preset deviation threshold, it is determined that the reliability of the simulation result of the coupling model meets the requirement; when there is a deviation operating condition where the number of deviation dimensions is not within the preset dimension number interval or there is a deviation dimension whose deviation is greater than the preset deviation threshold, step S424 is entered;

[0086] Step S424: Determine the comprehensive deviation amount of the coupling model under different operating conditions by using the quantity ratio of the deviation dimensions and the deviation amounts of different deviation dimensions.

[0087] Exemplarily, step S43 includes the following sub-steps:

[0088] Step S431: based on the comprehensive deviation under different operating conditions, when it is determined that there is an operating condition where the comprehensive deviation does not meet the requirements, it is determined that the reliability of the simulation result of the coupling model does not meet the requirements. When there is no operating condition where the comprehensive deviation does not meet the requirements, the process proceeds to step S432;

[0089] Step S432: determining a model reliability coefficient of the simulation result of the coupling model based on the comprehensive deviation under different operating conditions, and using the model reliability coefficient to determine whether the reliability of the simulation result of the coupling model meets the requirements.

[0090] In one or more embodiments, step S30 includes the following sub-steps:

[0091] Step S301, based on the load output plan and historical frequency modulation data of the unit, determine the load output plan and historical frequency modulation times of the unit in different time periods;

[0092] Step S302: Based on the planned load output of the unit in different time periods and the number of historical frequency modulations, the coupling model is used to determine the energy utilization efficiency in different time periods and the thermal energy storage capacity of the energy storage system based on the utilization of the direct heating system of the unit in different time periods in different types of adjustment modes as the dependent variable;

[0093] Step S303: determine the regulation reliability in different time periods based on the thermal energy storage capacity of the energy storage system and the historical frequency regulation times, and determine the regulation strategy of the direct heating system of the unit in different time periods by maximizing the comprehensive function constructed by frequency regulation reliability and energy utilization efficiency.

[0094] Illustratively, different types of regulation methods include utilizing a direct heating system for thermal energy utilization by an energy storage system and utilizing a direct heating system for thermal energy utilization by heat users.

[0095] In one or more embodiments, Figure 2As shown, the economical heating system includes a model building module 10, a reliability adjustment module 20, and a regulation strategy output module 30. The model building module is used to construct a coupling model of the unit according to the composition data of the unit. The reliability adjustment module is used to adjust the equipment parameters of the coupling model according to the actual operating data under different operating conditions and the simulated operating data output by the coupling model, so that the coupling model meets the reliability conditions. The regulation strategy output module is used to determine the regulation strategy of the unit's direct heating system in different time periods according to the load output plan and historical frequency regulation data of the unit. The coupling model takes frequency regulation reliability and economy as the goals.

[0096] Furthermore, the reliability adjustment module is also used to determine whether the coupling model meets the reliability condition: calculate the deviation between the actual operating data under different operating conditions and the simulated operating data output by the coupling model; determine the deviation dimension of the coupling model under different operating conditions according to the deviation, and determine the deviation coefficient of the coupling model under different operating conditions according to the number ratio of the deviation dimension; determine the comprehensive deviation coefficient of the simulation result of the coupling model according to each of the deviation coefficients, and determine whether the coupling model meets the reliability condition according to the comprehensive deviation coefficient.

[0097] The economical heating method and economical heating system based on the coupling model provided in this embodiment construct a coupling model through unit data, adjust the reliability of the coupling model, and obtain a regulation strategy in combination with the load output plan and historical frequency regulation data to take into account the reliability and economy of the unit frequency regulation.

[0098] The specific implementation methods of the present application are described in detail above. Although some embodiments have been shown and described, those skilled in the art should understand that these embodiments can be modified and improved without departing from the principles and spirit of the present application whose scope is defined by the claims and their equivalents. These modifications and improvements should also be within the scope of protection of the present application.

Claims

1. An economical heating method based on a coupling model, characterized in that: The economical heating method comprises: A coupling model of the unit is constructed according to the composition data of the unit; Adjusting the device parameters of the coupling model according to the real operation data under different operation conditions and the simulated operation data output by the coupling model, so that the coupling model meets the reliability condition; According to the load output plan and historical frequency regulation data of the unit, the coupling model determines the regulation strategy of the direct heating system of the unit in different time periods with the frequency regulation reliability and economy as the goals.

2. The economical heating method based on the coupling model according to claim 1, characterized in that: The composition data includes the type of unit equipment and equipment parameters of the unit equipment. The method for constructing a coupling model of the unit according to the composition data of the unit includes: According to the type of the unit equipment, the equipment parameters of the unit equipment and the connection relationship between different unit equipment, a coupling model of the unit is constructed.

3. The economical heating method based on the coupling model according to claim 1, characterized in that: The economical heating method further includes determining whether the coupling model satisfies a reliability condition: Calculating the deviation between the actual operating data under different operating conditions and the simulated operating data output by the coupling model; Determine the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determine the deviation coefficient of the coupling model under different operating conditions according to the quantity proportion of the deviation dimension; A comprehensive deviation coefficient of the simulation result of the coupling model is determined according to each of the deviation coefficients, and whether the coupling model meets a reliability condition is determined according to the comprehensive deviation coefficient.

4. The economical heating method based on the coupling model according to claim 3 is characterized in that: The method for determining the comprehensive deviation coefficient of the simulation result of the coupling model according to the deviation coefficients is: taking the average value of the deviation coefficients as the comprehensive deviation coefficient.

5. The economical heating method based on the coupling model according to claim 1, characterized in that: The method of adjusting the device parameters of the coupling model according to the real operation data under different operation conditions and the simulated operation data output by the coupling model so that the coupling model meets the reliability condition includes: Determining the deviation probability of equipment parameters of different dimensions in the coupling model according to the deviation between the real operation data under different operation conditions and the simulated operation data output by the coupling model; Determining suspected deviation device parameters among the device parameters according to the deviation probability; The parameter adjustment sequence of different devices is determined according to the number of the suspected deviation device parameters and the deviation probability, and the parameters of the adjustment devices are adjusted according to the parameter adjustment sequence until the coupling model meets the reliability condition.

6. The economical heating method based on the coupling model according to claim 5, characterized in that: The method for determining the deviation probability of device parameters of different dimensions in the coupling model includes: Calculating the deviation between the actual operating data under different operating conditions and the simulated operating data output by the coupling model; Calculating the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determining the correlation coefficient of the equipment parameter when deviation occurs under different operating conditions according to the deviation dimension; The associated operating conditions of the operating conditions are determined according to the associated coefficients, and the deviation probability of the equipment parameters is determined according to the quantity ratio of the associated operating conditions.

7. The economical heating method based on the coupling model according to claim 6, characterized in that: The method for determining the correlation coefficient of the equipment parameter when deviation occurs under different operating conditions according to the deviation dimension is: determining the correlation coefficient according to the proportion of the number of deviation dimensions that will cause data deviation under different operating conditions.

8. The economical heating method based on the coupling model according to claim 5, characterized in that: The method for determining the suspected deviation device parameter in the device parameter according to the deviation probability is: when the deviation probability of the device parameter is greater than or equal to a preset deviation probability threshold, the device parameter is determined to be a suspected deviation device parameter.

9. An economical heating system based on a coupling model, characterized in that: The economical heating system comprises: A model building module, wherein the model building module is used to build a coupling model of the unit according to the component data of the unit; A reliability adjustment module, the reliability adjustment module is used to adjust the device parameters of the coupling model according to the real operation data under different operation conditions and the simulation operation data output by the coupling model, so that the coupling model meets the reliability conditions; The regulation strategy output module is used to determine the regulation strategy of the direct heating system of the unit in different time periods based on the load output plan and historical frequency regulation data of the unit and the coupling model with the frequency regulation reliability and economy as the goals.

10. The economical heating system based on the coupling model according to claim 9, characterized in that: The reliability adjustment module is also used to determine whether the coupling model meets the reliability condition: calculate the deviation between the real operation data under different operation conditions and the simulated operation data output by the coupling model; Determine the deviation dimension of the coupling model under different operating conditions according to the deviation amount, and determine the deviation coefficient of the coupling model under different operating conditions according to the number ratio of the deviation dimension; determine the comprehensive deviation coefficient of the simulation result of the coupling model according to each of the deviation coefficients, and determine whether the coupling model meets the reliability condition according to the comprehensive deviation coefficient.

Images