Unit combined power generation method and system based on hydrogen ammonia energy storage peak regulation

Abstract

The invention provides a unit combined power generation method and system based on hydrogen ammonia energy storage peak regulation, and belongs to the technical field of thermoelectric units, and the method specifically comprises the steps: determining the heat supply load data of the thermoelectric units at different time periods in the current date based on the analysis result of the heat supply data of the thermoelectric units, on the basis of the heat supply load data and the power supply load data in different time periods, when it is determined that the adjustment sensitivity of the power supply load in the time periods meets the requirement, similar heat supply time periods of the time periods are determined on the basis of the heat supply load data in the time periods, and heat supply deviation users in the different similar heat supply time periods are calculated on the basis of the distribution data of the heat supply deviation users in the different similar heat supply time periods. And whether the hydrogen prepared by the thermoelectric unit can be converted into ammonia gas in the time period is determined, so that the utilization efficiency of energy is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of thermal power units, and in particular relates to a combined power generation method and system based on hydrogen-ammonia energy storage peak regulation. Background Art

[0002] Compared with hydrogen, ammonia storage is safer. Therefore, as the load fluctuations of thermal power units become increasingly severe, how to combine the energy storage and peak-shaving characteristics of hydrogen and ammonia to improve the load stability of thermal power units has become a technical problem that needs to be solved urgently.

[0003] Specifically, the invention patent application CN202110412985.9 "A wind-hydrogen-ammonia-thermal power storage peak-shaving combined power generation system and method" constructs a wind-hydrogen-ammonia-thermal power storage peak-shaving combined power generation system to convert unstable wind power into the chemical energy of ammonia for storage, and then use the ammonia in the power generation system, which can achieve stable output of electric energy and avoid excessive impact on the power grid. However, the above technical solutions all have the following technical problems: In the process of load scheduling based on hydrogen-ammonia energy storage peak regulation, the existing technical solutions ignore the generation of differentiated hydrogen-ammonia conversion strategies based on the heating load of the thermal power units. Converting hydrogen into ammonia can greatly improve the safety of energy storage, but at the same time it will also reduce energy utilization efficiency. Therefore, how to improve energy utilization efficiency while ensuring the safety of energy storage has become a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a method and system for combined power generation of units based on hydrogen-ammonia energy storage peak regulation. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a method for combined power generation based on hydrogen-ammonia energy storage peak regulation, specifically comprising: S1 determines the load fluctuation moment of the thermal power unit on the current date based on the load forecast data of the thermal power unit, and uses the distribution data of the load fluctuation moment to determine that the load fluctuation situation on the current date meets the requirements, and then proceeds to the next step; S2 determines the heating load data of the thermal power unit at different time periods on the current date based on the analysis results of the heating data of the thermal power unit, and when it is determined that the adjustment sensitivity of the power load in the time period meets the requirements based on the heating load data and power load data in different time periods, proceeds to the next step; S3, based on the heating load data in the time period, determining a similar heating time period in the time period; S4 determines whether the hydrogen produced by the thermal power unit can be converted into ammonia in the period based on the distribution data of the heating deviation users in different similar heating periods.

[0006] The beneficial effects of the present invention are: Based on the heating load data and power supply load data in different time periods, it is determined whether the adjustment sensitivity of the power supply load in the time period meets the requirements, thereby realizing the screening of time periods when the heating load cannot be flexibly extracted to flexibly adjust the power supply load from the perspective of heating load data and power supply load data, and not converting hydrogen into ammonia during the above time periods. While ensuring the adjustment flexibility, the energy utilization efficiency is also improved.

[0007] Based on the distribution data of users with heating deviations in different similar heating periods, it is determined whether the hydrogen produced by the thermal power unit can be converted into ammonia in the period, thereby avoiding the technical problem of extracting the heating load for flexible adjustment of the power supply load due to the large number of users with heating deviations in similar heating periods, which makes the heating reliability fail to meet the requirements. On the basis of improving the utilization efficiency of energy, the reliability of heating is guaranteed.

[0008] A further technical solution is that the load forecast data is determined based on the weather data of the current date, wherein the weather data of the current date is used as input and the output of the prediction model is used as the load forecast data of the current date.

[0009] A further technical solution is that the load forecast data includes heating load data and power supply load data.

[0010] A further technical solution is that the method for determining the load fluctuation moment is: Determining a change in the load forecast data between the moment and an adjacent moment based on the load forecast data at the moment; The moment when the variation does not meet the requirements is regarded as the load fluctuation moment.

[0011] A further technical solution is to determine that the moment is a load fluctuation moment when the variation of the load forecast data between the moment and the adjacent moments is not within a preset interval.

[0012] A further technical solution is to determine whether the load fluctuation on the current date meets the requirements, specifically including: Based on the distribution data of the load fluctuation moments on the current date, determine the proportion of the load fluctuation moments in different time periods on the current date; Determining a load fluctuation period in the period based on the quantity ratio; The proportion of the load fluctuation periods is used to determine whether the load fluctuation situation on the current date meets the requirements.

[0013] A further technical solution is that the load fluctuation period is a period in which the proportion of the number of load fluctuation moments is greater than a preset proportion.

[0014] A further technical solution is to determine whether the hydrogen produced by the thermal power unit can be converted into ammonia during the time period, specifically including: Determining the number of heating deviation users in different similar heating periods based on the distribution data of heating deviation users in different similar heating periods; Determining a heating deviation period in the similar heating period according to the number of heating deviation users; The number of the heat supply deviation periods is used to determine whether the hydrogen produced by the thermal power unit can be converted into ammonia during the period.

[0015] A further technical solution is that the heating deviation user is a user whose heating supply is not within a preset heating supply range.

[0016] A further technical solution is that, when the number of the heating deviation time periods is greater than the number of preset deviation time periods, it is determined that the hydrogen produced by the thermal power unit can be converted into ammonia during the time periods.

[0017] On the other hand, an embodiment of the present application provides a computer system having a computer program stored thereon. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for combined power generation of units based on hydrogen-ammonia energy storage peak regulation.

[0018] On the other hand, a computer program product is provided in an embodiment of the present application, characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above-mentioned method of combined power generation based on hydrogen-ammonia energy storage peak regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0020] Figure 1 The present invention is a flow chart of a method for combined power generation of units based on hydrogen-ammonia energy storage peak regulation.

[0021] Figure 2 It is a flow chart to determine whether the regulation sensitivity of the power supply load in the time period meets the requirements.

[0022] Figure 3 The present invention is a flowchart of a method for determining similar heating time periods. DETAILED DESCRIPTION

[0023] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many ways and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the figures represent like or similar structures, and thus their detailed description will be omitted.

[0024] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0025] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a first aspect is provided. The present application provides a method for combined power generation of units based on hydrogen-ammonia energy storage peak regulation, specifically comprising: S1 determines the load fluctuation moment of the thermal power unit on the current date based on the load forecast data of the thermal power unit, and uses the distribution data of the load fluctuation moment to determine that the load fluctuation situation on the current date meets the requirements, and then proceeds to the next step; S2 determines the heating load data of the thermal power unit at different time periods on the current date based on the analysis results of the heating data of the thermal power unit, and when it is determined that the adjustment sensitivity of the power load in the time period meets the requirements based on the heating load data and power load data in different time periods, proceeds to the next step; S3, based on the heating load data in the time period, determining a similar heating time period in the time period; S4 determines whether the hydrogen produced by the thermal power unit can be converted into ammonia in the period based on the distribution data of the heating deviation users in different similar heating periods.

[0026] Furthermore, the load forecast data is determined based on the weather data of the current date, wherein the weather data of the current date is used as input and the output of the forecast model is used as the load forecast data of the current date.

[0027] Specifically, the load forecast data includes heating load data and power supply load data.

[0028] Specifically, the method for determining the load fluctuation moment is: Determining a change in the load forecast data between the moment and an adjacent moment based on the load forecast data at the moment; The moment when the variation does not meet the requirements is regarded as the load fluctuation moment.

[0029] It should be noted that when the variation of the load forecast data between the moment and the adjacent moments is not within a preset interval, the moment is determined to be a load fluctuation moment.

[0030] It is understandable that determining whether the load fluctuation on the current date meets the requirements includes: Based on the distribution data of the load fluctuation moments on the current date, determine the proportion of the load fluctuation moments in different time periods on the current date; Determining a load fluctuation period in the period based on the quantity ratio; The proportion of the load fluctuation periods is used to determine whether the load fluctuation situation on the current date meets the requirements.

[0031] Furthermore, the load fluctuation period is a period in which the proportion of load fluctuation moments is greater than a preset proportion.

[0032] Specifically, when the proportion of the load fluctuation time periods is greater than the proportion of the preset time periods, it is determined that the load fluctuation situation on the current date does not meet the requirements.

[0033] In another possible embodiment, when the load fluctuation on the current date does not meet the requirements, it is determined that the hydrogen produced by the thermal power unit cannot be converted into ammonia on the current date.

[0034] Optionally, it is determined that the load fluctuation conditions on the current date meet the requirements, including: Determine the proportion of the load fluctuation moments on the current date based on the distribution data of the load fluctuation moments on the current date. When the proportion of the load fluctuation moments on the current date is greater than the proportion of the preset moments, determine that the load fluctuation situation on the current date does not meet the requirements. When the proportion of load fluctuation moments in the current date is not greater than the proportion of preset moments: When the load fluctuation ratio is not within the preset ratio range: It is determined that the load fluctuation on the current date meets the requirements; When the load fluctuation ratio is within the preset ratio range: Based on the distribution data of the load fluctuation moments in the current date, the number ratios of the load fluctuation moments in different time periods in the current date are determined. When it is determined based on the number ratios that no load fluctuation period exists in the time period: Obtaining time periods with load fluctuation moments. When the number of time periods with load fluctuation moments is less than a preset time period number threshold, determining that the load fluctuation situation on the current date meets the requirements; When it is determined based on the quantity ratio that there is a load fluctuation period in the period: Obtaining a proportion of the load fluctuation periods; when the proportion of the load fluctuation periods is greater than a preset proportion of the load fluctuation periods, determining that the load fluctuation situation on the current date does not meet the requirements; When the proportion of the load fluctuation periods is not greater than the preset proportion of the fluctuation periods or the number of periods with load fluctuation moments is not less than the preset period number threshold: The load fluctuation coefficients of different time periods are determined based on the proportion of load fluctuation moments in different time periods and the interval data between different adjacent load fluctuation moments. When the number of time periods in which the load fluctuation coefficient does not meet the requirements is greater than the preset time period number threshold, it is determined that the load fluctuation situation on the current day does not meet the requirements; When the number of periods during which the load fluctuation coefficient does not meet the requirements is not greater than the preset period threshold: Obtain the load fluctuation coefficients in different time periods, and determine the comprehensive load fluctuation coefficient of the current date based on the proportion of time periods with load fluctuation moments, and use the comprehensive load fluctuation coefficient to determine whether the load fluctuation situation on the current date meets the requirements.

[0035] Furthermore, when the comprehensive load fluctuation coefficient of the current date is greater than a preset load fluctuation coefficient threshold, it is determined that the load fluctuation condition of the current date does not meet the requirements.

[0036] Specifically, such as Figure 2 As shown, the regulation sensitivity of the power supply load in the determined time period meets the requirements, specifically including: Based on the heating load data and the power load data in different time periods, the ratio of the heating load data to the power load data at different times is determined and used as the load ratio; Determining the load regulation sensitivity coefficient at different times in the time period according to the load ratio; Based on the average values ​​of the load regulation sensitivity coefficients at different times, an evaluation value of the sensitivity coefficient of the power supply load in the period is determined, and according to the evaluation value of the sensitivity coefficient, it is determined whether the regulation sensitivity of the power supply load in the period meets the requirements.

[0037] Furthermore, the method for determining the load regulation sensitivity coefficient at the moment is: Determining, based on the load ratio at the moment, a deviation between the load ratio and an endpoint of a preset adjustment ratio interval; The deviation amount from the endpoint is determined based on the deviation situation, and the load adjustment sensitivity coefficient at the moment is determined based on the deviation amount from the endpoint.

[0038] It should be noted that the preset adjustment ratio range is determined according to the steam extraction ratio range and the minimum heating amount of the steam turbine of the thermal power unit.

[0039] Optionally, determining whether the adjustment sensitivity of the power supply load in the time period meets the requirements specifically includes: Based on the heating load data and the power load data in different time periods, the ratio of the heating load data to the power load data at different times is determined and used as the load ratio; Determining the load regulation sensitivity coefficients at different moments in the time period according to the load ratio, and determining that the regulation sensitivity of the power supply load in the time period meets the requirements when determining that there is no sensitivity deviation moment in the time period using the load regulation sensitivity coefficients; When the load regulation sensitivity coefficient is used to determine the time when a sensitive deviation occurs in the time period: Obtaining a ratio of the number of sensitive deviation moments in the time period, and when the ratio of the number of sensitive deviation moments in the time period does not meet the requirement, determining that the regulation sensitivity of the power supply load in the time period does not meet the requirement; When the proportion of sensitive deviation moments in the period meets the requirements: Determine the adjustment sensitivity deviation coefficient in different unit time periods based on the proportion of the number of sensitive deviation moments in different unit time periods and the number of intervals between different sensitive deviation moments; When there is no unit time period in which the regulation sensitivity deviation coefficient does not meet the requirement: determining that the regulation sensitivity of the power supply load in the said time period meets the requirement; When there is a unit period where the adjustment sensitivity deviation coefficient does not meet the requirements: The unit time period in which the adjustment sensitivity deviation coefficient does not meet the requirement is used as a deviation unit time period. When the number of the deviation unit time periods does not meet the requirement, it is determined that the adjustment sensitivity of the power supply load in the time period does not meet the requirement. When the number of deviation unit periods meets the requirements: Based on the number of deviation unit time periods and the adjustment sensitivity deviation coefficients of different deviation unit time periods, the sensitivity coefficient evaluation value of the power supply load in the time period is determined, and according to the sensitivity coefficient evaluation value, it is determined whether the adjustment sensitivity of the power supply load in the time period meets the requirements.

[0040] Specifically, such as Figure 3 As shown, the method for determining the similar heating period of the period is: Based on the heating load data at different times in the period, determining a deviation rate from the heating load data at different times in different historical heating periods, and using the deviation rate as the load deviation rate; Determining an average deviation rate based on an average value of load deviation rates of heating load data at different times; Determine whether the historical heating period is a similar heating period according to the average deviation rate.

[0041] Furthermore, when the average deviation rate is within a preset deviation rate range, the historical heating period is determined to be a similar heating period.

[0042] It is understandable that determining whether the hydrogen produced by the thermal power unit can be converted into ammonia during the time period specifically includes: Determining the number of heating deviation users in different similar heating periods based on the distribution data of heating deviation users in different similar heating periods; Determining a heating deviation period in the similar heating period according to the number of heating deviation users; The number of the heat supply deviation periods is used to determine whether the hydrogen produced by the thermal power unit can be converted into ammonia during the period.

[0043] Furthermore, the heating deviation user is a user whose heating amount is not within a preset heating amount range.

[0044] Specifically, when the number of the heating deviation time periods is greater than the number of preset deviation time periods, it is determined that the hydrogen produced by the thermal power unit can be converted into ammonia during the time periods.

[0045] Optionally, determining whether the hydrogen produced by the thermal power unit can be converted into ammonia during the time period specifically includes: S41 determines the number of heating deviation users in different similar heating periods based on the distribution data of heating deviation users in different similar heating periods; S42 determines the heating deviation coefficient of the similar heating period according to the number of the heating deviation users and the deviation of the heating amounts of different heating deviation users from the adjacent endpoints of the preset heating amount interval; S43 uses the heating deviation coefficients of different similar heating time periods to determine a comprehensive deviation coefficient, and uses the comprehensive deviation coefficient to determine whether the hydrogen produced by the thermal power unit can be converted into ammonia in the time period.

[0046] Furthermore, when the comprehensive deviation coefficient does not meet the requirement, it is determined that the hydrogen produced by the thermal power unit can be converted into ammonia during the time period.

[0047] Optionally, the above step S41 includes the following contents: S411 determines, based on the distribution data of users with heating deviations in different similar heating time periods, that no users with heating deviations exist in the different similar heating time periods, then determines that the hydrogen produced by the thermal power unit can be converted into ammonia in the said time period. If there is a similar heating time period with users with heating deviations, the process proceeds to step S412. In step S412, similar heating periods with users having heating deviations are used as similar deviation heating periods. When the proportion of the similar deviation heating periods in the similar heating periods is less than the proportion of the preset similar periods, the process proceeds to step S413. When the proportion of the similar deviation heating periods in the similar heating periods is not less than the proportion of the preset similar periods, the process proceeds to step S414. S413: When the number of heating deviation users in different similar deviation heating time periods all meets the requirement, it is determined that the hydrogen produced by the thermal power unit can be converted into ammonia in the said time period. If there is a similar deviation heating time period in which the number of heating deviation users does not meet the requirement, the process proceeds to step S414; S414 When the number of heating deviation users does not meet the requirement that the number of time periods of similar deviation heating time periods is greater than the preset number of similar time periods, it is determined that the hydrogen produced by the thermal power unit cannot be converted into ammonia in the said time period. When the number of heating deviation users does not meet the requirement that the number of time periods of similar deviation heating time periods is not greater than the preset number of similar time periods, proceed to step S42.

[0048] Optionally, the above step S42 includes the following contents: S421 determines the heating deviation coefficient of the similar heating period according to the number of heating deviation users and the deviation between the heating supply of different heating deviation users and the adjacent endpoints of the preset heating supply interval. When the heating deviation coefficients of different similar heating periods all meet the requirements, the process proceeds to step S422. When there is a similar heating period whose heating deviation coefficient does not meet the requirements, the process proceeds to step S423. S422: When the proportion of the similar deviation heating period in the similar heating period is less than the proportion of the preset similar period, it is determined that the hydrogen produced by the thermal power unit cannot be converted into ammonia in the period; when the proportion of the similar deviation heating period in the similar heating period is not less than the proportion of the preset similar period, the process proceeds to step S42; S423 When the number of similar heating time periods in which the heating deviation coefficient does not meet the requirement does not meet the requirement, it is determined that the hydrogen produced by the thermal power unit cannot be converted into ammonia in the said time period. When the number of similar heating time periods in which the heating deviation coefficient does not meet the requirement meets the requirement, proceed to step S43.

[0049] Example 2 On the other hand, an embodiment of the present application provides a computer system having a computer program stored thereon. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for combined power generation of units based on hydrogen-ammonia energy storage peak regulation.

[0050] Example 3 On the other hand, a computer program product is provided in an embodiment of the present application, characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above-mentioned method of combined power generation based on hydrogen-ammonia energy storage peak regulation.

[0051] In the embodiments of the present invention, the term "plurality" refers to two or more, unless otherwise specified. Terms such as "installed," "connected," and "fixed" should be interpreted broadly. For example, "connected" can refer to a fixed connection, a detachable connection, or an integral connection. Those skilled in the art will understand the specific meanings of these terms in the embodiments of the present invention based on specific circumstances.

[0052] In the description of the embodiments of the present invention, it should be understood that the terms "upper" and "lower" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the embodiments of the present invention.

[0053] Throughout this specification, terms such as "one embodiment" and "a preferred embodiment" mean that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0054] The above is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations are possible in the present invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for combined power generation based on hydrogen-ammonia energy storage peak regulation, characterized in that: Specifically include: Based on the load forecast data of the thermal power unit, the load fluctuation moment of the thermal power unit on the current date is determined, and when the load fluctuation situation on the current date meets the requirements using the distribution data of the load fluctuation moment, the next step is entered; Based on the analysis results of the heating data of the thermal power unit, the heating load data of the thermal power unit in different time periods of the current date are determined. Based on the heating load data and the power load data in different time periods, when it is determined that the adjustment sensitivity of the power load in the time period meets the requirements, the next step is entered; Determining similar heating periods of the period based on the heating load data in the period; Based on the distribution data of the heating deviation users in different similar heating time periods, it is determined whether the hydrogen produced by the thermal power unit can be converted into ammonia in the time period.

2. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: The load forecast data is determined based on the weather data of the current date, wherein the weather data of the current date is used as input and the output of the forecast model is used as the load forecast data of the current date.

3. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: The load forecast data includes heating load data and power supply load data.

4. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: The method for determining the load fluctuation moment is: Determining a change in the load forecast data between the moment and an adjacent moment based on the load forecast data at the moment; The moment when the variation does not meet the requirements is regarded as the load fluctuation moment.

5. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: Determine whether the load fluctuation on the current date meets the requirements, including: Based on the distribution data of the load fluctuation moments on the current date, determine the proportion of the load fluctuation moments in different time periods on the current date; Determining a load fluctuation period in the period based on the quantity ratio; The proportion of the load fluctuation periods is used to determine whether the load fluctuation situation on the current date meets the requirements.

6. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 5, characterized in that: The load fluctuation period is a period in which the proportion of load fluctuation moments is greater than a preset proportion.

7. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: When the load fluctuation on the current date does not meet the requirement, it is determined that the hydrogen produced by the thermal power unit cannot be converted into ammonia on the current date.

8. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: The regulation sensitivity of the power supply load in the determined time period meets the requirements, including: Based on the heating load data and the power load data in different time periods, the ratio of the heating load data to the power load data at different times is determined and used as the load ratio; Determining the load regulation sensitivity coefficient at different times in the time period according to the load ratio; Based on the average values ​​of the load regulation sensitivity coefficients at different times, an evaluation value of the sensitivity coefficient of the power supply load in the period is determined, and according to the evaluation value of the sensitivity coefficient, it is determined whether the regulation sensitivity of the power supply load in the period meets the requirements.

9. The method for combined power generation based on hydrogen-ammonia energy storage peak regulation according to claim 1, characterized in that: The regulation sensitivity of the power supply load in the determined time period meets the requirements, including: Based on the heating load data and the power load data in different time periods, the ratio of the heating load data to the power load data at different times is determined and used as the load ratio; Determining the load regulation sensitivity coefficients at different moments in the time period according to the load ratio, and determining that the regulation sensitivity of the power supply load in the time period meets the requirements when determining that there is no sensitivity deviation moment in the time period using the load regulation sensitivity coefficients; When the load regulation sensitivity coefficient is used to determine the time when a sensitive deviation occurs in the time period: Obtaining a ratio of the number of sensitive deviation moments in the time period, and when the ratio of the number of sensitive deviation moments in the time period does not meet the requirement, determining that the regulation sensitivity of the power supply load in the time period does not meet the requirement; When the proportion of sensitive deviation moments in the period meets the requirements: Determine the adjustment sensitivity deviation coefficient in different unit time periods based on the proportion of the number of sensitive deviation moments in different unit time periods and the number of intervals between different sensitive deviation moments; When there is no unit time period in which the regulation sensitivity deviation coefficient does not meet the requirement: determining that the regulation sensitivity of the power supply load in the said time period meets the requirement; When there is a unit period where the adjustment sensitivity deviation coefficient does not meet the requirements: The unit time period in which the adjustment sensitivity deviation coefficient does not meet the requirement is used as a deviation unit time period. When the number of the deviation unit time periods does not meet the requirement, it is determined that the adjustment sensitivity of the power supply load in the time period does not meet the requirement. When the number of deviation unit periods meets the requirements: Based on the number of deviation unit time periods and the adjustment sensitivity deviation coefficients of different deviation unit time periods, the sensitivity coefficient evaluation value of the power supply load in the time period is determined, and according to the sensitivity coefficient evaluation value, it is determined whether the adjustment sensitivity of the power supply load in the time period meets the requirements.

10. A computer system having a computer program stored thereon, wherein when the computer program is executed in a computer, Instruct a computer to execute a method for combined power generation based on hydrogen-ammonia energy storage peak regulation as described in any one of claims 1 to 9.

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