Thermoelectric unit scheduling method and system considering coal quality measurement result

Abstract

The invention provides a thermoelectric unit scheduling method and system considering a coal quality measurement result, and belongs to the technical field of unit scheduling, and the method specifically comprises the steps: taking a time period in which a calorific value variation coefficient does not meet a requirement as a calorific value variation time period, and employing the distribution data of the calorific value variation time period to determine the calorific value variation coefficient; when it is determined that the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermoelectric unit does not meet the requirement, determining matching time periods in different calorific value intervals according to the measurement results of the calorific values in different time periods, and determining matching conditions with different preset scheduling strategies in combination with the measurement results of the calorific values in different matching time periods, the method comprises the steps of obtaining a matching condition of a thermoelectric unit, determining a matching scheduling strategy by utilizing the matching condition, obtaining load requirements of the thermoelectric unit in different time periods, and determining the load scheduling strategy of the thermoelectric unit according to the matching scheduling strategy when load scheduling processing is carried out by utilizing the load requirements in different time periods, so that the operation safety of the unit is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of unit scheduling, and in particular relates to a method and system for scheduling a thermal power unit taking into account coal quality measurement results. Background Art

[0002] Differences in coal quality lead to differences in the combustion reliability of boilers in thermal power units. Therefore, how to achieve differentiated scheduling of thermal power units based on coal quality measurement results and improve the flexibility of scheduling while ensuring the operating safety of thermal power units has become a technical problem that needs to be solved urgently.

[0003] In the existing technical solutions, when generating the load scheduling strategy for thermal power units, the load scheduling strategy is often generated based on the load demand of the coal-fired units. However, in the actual scheduling process, if the difference in coal quality is ignored, it may cause the combustion stability of the boiler to be affected to a certain extent, making it difficult to ensure the safe operation of the unit.

[0004] In view of the above technical problems, the present invention provides a method and system for scheduling thermal power units taking into account coal quality measurement results. Summary of the invention

[0005] A thermal power unit scheduling method considering coal quality measurement results, specifically comprising:

[0006] S1 obtains the coal quality measurement data of the thermal power unit, and determines the change data of the calorific value measurement results of different time periods based on the analysis results of the coal quality measurement data, and determines the calorific value variation coefficient of different time periods according to the variation data. When there is a time period when the calorific value variation coefficient does not meet the requirements, proceed to the next step;

[0007] S2: taking the period when the calorific value variation coefficient does not meet the requirements as the calorific value variation period, and using the distribution data of the calorific value variation period to determine that the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit does not meet the requirements, and then proceeding to the next step;

[0008] S3 determines the matching time periods in different calorific value intervals based on the measurement results of the calorific values ​​in different time periods, and determines the matching conditions with different preset scheduling strategies based on the measurement results of the calorific values ​​in different matching time periods, and determines the matching scheduling strategy based on the matching conditions;

[0009] S4 obtains the load demand of the thermal power unit in different time periods, and uses the load demand in different time periods to determine the load scheduling strategy of the thermal power unit according to the matching scheduling strategy when performing load scheduling processing.

[0010] A further technical solution is that the coal quality measurement data is determined based on the measurement results of the coal quality measuring device.

[0011] A further technical solution is that the variation data of the calorific value measurement result is determined according to the variation of the calorific value measurement result at different moments.

[0012] A further technical solution is that the method for determining the coefficient of variation of the calorific value of the time period is:

[0013] Determine the change of the calorific value at different times in the time period and the calorific value at adjacent times based on the analysis result of the change data;

[0014] Determine the calorific value change time in the time period by using the change situation;

[0015] The calorific value variation coefficient of the time period is determined according to the proportion of the number of calorific value variation moments in the time period.

[0016] A further technical solution is that the calorific value change moment is a moment when the change of the calorific value at an adjacent moment is not within a preset change threshold range.

[0017] A further technical solution is that the calorific value variation coefficient of the time period ranges from 0 to 1, wherein when the calorific value variation coefficient of the time period is not within a preset variation coefficient interval, it is determined that the calorific value variation coefficient of the time period does not meet the requirements.

[0018] A further technical solution is that the method for determining the load dispatching strategy of the thermal power unit is:

[0019] Based on the load demand in different time periods and the matching dispatching strategy, determining the correlation between the load demand in different time periods and the matching dispatching strategy;

[0020] The load dispatching strategy of the thermal power unit in different time periods is determined by utilizing the association situation, and the load dispatching strategy of the thermal power unit is determined according to the load dispatching strategy in different time periods.

[0021] A further technical solution is that the load scheduling strategy of the thermal power unit includes a maximum number of combustion adjustments and a minimum amount of coal input into the boiler.

[0022] On the other hand, the present application provides a thermal power unit scheduling system considering coal quality measurement results, which adopts the above-mentioned thermal power unit scheduling method considering coal quality measurement results, specifically including:

[0023] Calorific value change assessment module, uniformity coefficient assessment module, matching strategy screening module, load scheduling module;

[0024] The calorific value variation evaluation module is responsible for obtaining the coal quality measurement data of the thermal power unit, and determining the variation data of the calorific value measurement results of different time periods based on the analysis results of the coal quality measurement data, and determining the calorific value variation coefficient of different time periods based on the variation data;

[0025] The uniformity coefficient evaluation module is responsible for taking the period when the calorific value variation coefficient does not meet the requirements as the calorific value variation period, and using the distribution data of the calorific value variation period to determine whether the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit meets the requirements;

[0026] The matching strategy screening module is responsible for determining the matching time periods in different calorific value intervals based on the measurement results of the calorific values ​​in different time periods, and determining the matching conditions with different preset scheduling strategies in combination with the measurement results of the calorific values ​​in different matching time periods, and determining the matching scheduling strategy based on the matching conditions;

[0027] The load scheduling module is responsible for obtaining the load demand of the thermal power unit in different time periods, and using the load demand in different time periods, when performing load scheduling processing, determines the load scheduling strategy of the thermal power unit according to the matching scheduling strategy.

[0028] The beneficial effects of the present invention are:

[0029] By using the distribution data of the calorific value variation period, it is determined whether the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit meets the requirements, thereby achieving an accurate assessment of the measurement uniformity of the calorific value of the pulverized coal from the distribution of the calorific value variation period, and also achieving the screening of pulverized coal with deviations in the distribution of pulverized coal, thereby generating targeted scheduling strategies and improving the safety and operational reliability of the boiler.

[0030] The matching scheduling strategy in the preset scheduling strategy is determined by measuring the matching time periods in different calorific value ranges and the calorific value of different matching time periods, and the matching scheduling strategy is screened according to the distribution of the measured calorific values, thereby realizing targeted screening of corresponding matching scheduling strategies according to the changes in calorific values, avoiding the technical problems of low boiler safety caused by frequent combustion adjustments and insufficient combustible capacity, thereby ensuring the operational reliability of the boiler. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0032] Figure 1 It is a flow chart of a method for dispatching thermal power units taking into account coal quality measurement results.

[0033] Figure 2 is a flow chart of a method for determining the coefficient of variation of heating value for a time period;

[0034] Figure 3 It is a flow chart of a method for determining the uniformity coefficient of measurement of the calorific value of pulverized coal of a thermal power unit. DETAILED DESCRIPTION

[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of ways and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0036] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" 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.

[0037] Example 1

[0038] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a thermal power unit scheduling method considering coal quality measurement results is provided, which specifically includes:

[0039] S1 obtains the coal quality measurement data of the thermal power unit, and determines the change data of the calorific value measurement results of different time periods based on the analysis results of the coal quality measurement data, and determines the calorific value variation coefficient of different time periods according to the variation data. When there is a time period when the calorific value variation coefficient does not meet the requirements, proceed to the next step;

[0040] S2: taking the period when the calorific value variation coefficient does not meet the requirements as the calorific value variation period, and using the distribution data of the calorific value variation period to determine that the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit does not meet the requirements, and then proceeding to the next step;

[0041] S3 determines the matching time periods in different calorific value intervals based on the measurement results of the calorific values ​​in different time periods, and determines the matching conditions with different preset scheduling strategies based on the measurement results of the calorific values ​​in different matching time periods, and determines the matching scheduling strategy based on the matching conditions;

[0042] S4 obtains the load demand of the thermal power unit in different time periods, and uses the load demand in different time periods to determine the load scheduling strategy of the thermal power unit according to the matching scheduling strategy when performing load scheduling processing.

[0043] Furthermore, the coal quality measurement data is determined based on measurement results of a coal quality measuring device.

[0044] It should be noted that the variation data of the calorific value measurement result is determined according to the variation of the calorific value measurement result at different moments.

[0045] Specifically, Figure 2 As shown, the method for determining the coefficient of variation of the calorific value of the time period is:

[0046] Determine the change of the calorific value at different times in the time period and the calorific value at adjacent times based on the analysis result of the change data;

[0047] Determine the calorific value change time in the time period by using the change situation;

[0048] The calorific value variation coefficient of the time period is determined according to the proportion of the number of calorific value variation moments in the time period.

[0049] Furthermore, the calorific value change moment is a moment when the change of the calorific value at an adjacent moment is not within a preset change threshold range.

[0050] It can be understood that the calorific value variation coefficient of the time period ranges from 0 to 1, wherein when the calorific value variation coefficient of the time period is not within the preset variation coefficient interval, it is determined that the calorific value variation coefficient of the time period does not meet the requirements.

[0051] In one possible embodiment, the method for determining the coefficient of variation of the calorific value of the time period is:

[0052] Determine the variation of the calorific value at different moments in the time period and the calorific value at adjacent moments based on the analysis result of the variation data, and when it is determined by using the variation that there is no calorific value variation moment in the time period, determine that the calorific value variation coefficient of the time period meets the requirement;

[0053] When the change situation is used to determine that there is a calorific value change moment in the time period:

[0054] Get the number of calorific value change moments in the time period. When the number of calorific value change moments meets the requirement:

[0055] Based on the changes in the calorific values ​​at different calorific value change moments and the calorific values ​​at adjacent moments, when it is determined that there is no calorific value change moment with a change greater than a preset change threshold, it is determined that the calorific value change coefficient of the time period meets the requirement;

[0056] When there is a thermal value change moment with a change greater than the preset change threshold:

[0057] The calorific value change moment when the change is greater than the preset change threshold is used as the screening change moment, and the screening change coefficient is determined according to the change conditions at different screening change moments. When the screening change coefficient meets the requirement, it is determined that the calorific value change coefficient of the time period meets the requirement;

[0058] When the number of calorific value change moments does not meet the requirements or the screening change coefficient does not meet the requirements:

[0059] The distribution clustering coefficients at different calorific value change moments are determined based on the intervals between the calorific value change moments, the variation coefficient of the time period is determined based on the variation coefficient of the time period and the distribution clustering coefficient.

[0060] Specifically, Figure 3 As shown, the method for determining the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit is:

[0061] Determine the distribution data of the calorific value change period within a preset period based on the distribution data of the calorific value change period;

[0062] Determining the number of heating value variation periods within a preset period based on the distribution data;

[0063] The measurement uniformity coefficient of the heating value of the thermal power unit is determined according to the number of the heating value variation time periods.

[0064] Furthermore, the measurement uniformity coefficient of the calorific value of the thermal power unit is determined according to the number ratio of the calorific value variation time periods.

[0065] Optionally, the method for determining the measurement uniformity coefficient of the calorific value of the coal powder of the thermal power unit is:

[0066] S21 determines the distribution data of the calorific value change period within the preset period based on the distribution data of the calorific value change period, and determines the calorific value period variation coefficient within the preset period based on the number of calorific value change periods within the preset period and the calorific value variation coefficients of different calorific value change periods;

[0067] S22: determining the interval lengths in different calorific value change periods based on the distribution data of the calorific value change periods in the preset period, and determining the distribution clustering coefficient of the calorific value change periods in the preset period based on the interval lengths in different calorific value change periods;

[0068] S23 determines the measurement uniformity coefficient of the calorific value of the thermal power unit according to the distribution aggregation coefficient of the calorific value variation period and the calorific value period variation coefficient.

[0069] Optionally, the above step S21 includes the following contents:

[0070] S211 determines the distribution data of the calorific value change period within the preset period based on the distribution data of the calorific value change period, determines the number of the calorific value change period within the preset period based on the distribution data of the calorific value change period, and when the number of the calorific value change period within the preset period does not meet the requirement, determines that the measurement uniformity coefficient of the calorific value of the thermal power unit does not meet the requirement, and when the number of the calorific value change period within the preset period meets the requirement, proceeds to step S212;

[0071] S212: When it is determined based on the calorific value variation coefficients of different calorific value variation periods that there is a calorific value variation period with a calorific value variation coefficient greater than the preset variation coefficient, the process proceeds to step S213; when there is no calorific value variation period with a calorific value variation coefficient greater than the preset variation coefficient, the process proceeds to step S214;

[0072] S213: When the number of the calorific value variation time periods in which the calorific value variation coefficient is greater than the preset variation coefficient does not meet the requirement, it is determined that the measurement uniformity coefficient of the calorific value of the thermal power unit does not meet the requirement; when the number of the calorific value variation time periods in which the calorific value variation coefficient is greater than the preset variation coefficient meets the requirement, the process proceeds to step S214;

[0073] S214 determines the calorific value period variation coefficient within the preset period based on the number of calorific value variation periods within the preset period and the calorific value variation coefficients of different calorific value variation periods. When the calorific value period variation coefficient within the preset period does not meet the requirements, it is determined that the measurement uniformity coefficient of the calorific value of the thermal power unit does not meet the requirements. When the calorific value period variation coefficient within the preset period meets the requirements, the process proceeds to step S22.

[0074] Optionally, the above step S22 includes the following contents:

[0075] S221 determines the interval lengths in different calorific value change periods based on the distribution data of the calorific value change period in the preset period, and determines the distribution clustering coefficient of the calorific value change period in the preset period according to the interval lengths in the different calorific value change periods. When the distribution clustering coefficient of the calorific value change period in the preset period does not meet the requirements, it is determined that the measurement uniformity coefficient of the calorific value of the thermal power unit does not meet the requirements. When the distribution clustering coefficient of the calorific value change period in the preset period meets the requirements, it proceeds to step S23;

[0076] S222: When the distribution clustering coefficient of the calorific value change period within the preset period is within the preset clustering coefficient interval, the process proceeds to step S223; when the distribution clustering coefficient of the calorific value change period within the preset period is not within the preset clustering coefficient interval, the process proceeds to step S23;

[0077] S223: When the calorific value period variation coefficient within the preset period is within the preset coefficient range, it is determined that the measurement uniformity coefficient of the calorific value of the thermal power unit does not meet the requirements; when the calorific value period variation coefficient within the preset period is not within the preset coefficient range, proceed to step S23.

[0078] Furthermore, the matching period of the calorific value interval is a period in which the measurement result of the calorific value falls into the calorific value interval.

[0079] Specifically, the method for determining the matching scheduling strategy is:

[0080] Determine a calorific value interval whose number of matching time periods is greater than a preset number of matching time periods by using the number of matching time periods in different calorific value intervals, and use it as a matching calorific value interval;

[0081] Determine the number of matching time periods in different calorific value intervals based on the analysis results of the matching time periods in different calorific value intervals, and determine the matching coefficients of different matching calorific value intervals based on the proportion of the number of matching time periods in the matching calorific value intervals;

[0082] The matching preset scheduling strategies for different matching calorific value intervals are determined based on the matching conditions between different matching calorific value intervals and different preset scheduling strategies, and the strategy matching coefficients of different preset scheduling strategies are determined in combination with the matching coefficients of different matching calorific value intervals. The matching scheduling strategy in the scheduling strategy is determined based on the strategy matching coefficient.

[0083] Furthermore, the matching scheduling strategy in the scheduling strategy is a preset scheduling strategy with the largest strategy matching coefficient.

[0084] In another embodiment, the method for determining the matching scheduling strategy is:

[0085] When it is determined by using the number of matching time periods in different heat value intervals that there is no heat value interval in which the number of matching time periods is greater than the preset number of matching time periods, the matching scheduling strategy is determined by using the specified scheduling strategy;

[0086] When there is a heat value interval with a number of matching periods greater than the preset number of matching periods:

[0087] The heat value intervals whose number of matching time periods is greater than the preset number of matching time periods are taken as matching heat value intervals, and when the number of matching heat value intervals is greater than the preset number of intervals, the matching scheduling strategy is determined by using the specified scheduling strategy;

[0088] When the number of matching heat value intervals is not greater than the number of preset intervals:

[0089] According to the calorific value ranges corresponding to different matching calorific value intervals, the deviation of the calorific value ranges between different matching calorific value intervals is determined, and it is used as the calorific value deviation, and the calorific value deviation coefficient of different matching calorific value intervals is determined by using the deviation of the calorific value range between other matching calorific value intervals:

[0090] When there is a calorific value deviation coefficient that does not meet the required matching calorific value range:

[0091] The matching calorific value intervals whose calorific value deviation coefficients do not meet the requirements are taken as deviation calorific value intervals, and when the number of deviation calorific value intervals does not meet the requirements, the matching scheduling strategy is determined by using a specified scheduling strategy;

[0092] When the number of deviation heat value intervals meets the requirements:

[0093] Determine a comprehensive deviation coefficient by using the calorific value deviation coefficients of different deviation calorific value intervals, and when the comprehensive deviation coefficient does not meet the requirements, determine the matching scheduling strategy by using a specified scheduling strategy;

[0094] When the comprehensive deviation coefficient meets the requirements or there is no matching calorific value interval where the calorific value deviation coefficient does not meet the requirements:

[0095] Determine the number of matching time periods in different calorific value intervals based on the analysis results of the matching time periods in different calorific value intervals, and determine the matching coefficients of different matching calorific value intervals based on the proportion of the number of matching time periods in the matching calorific value intervals;

[0096] The matching preset scheduling strategies for different matching calorific value intervals are determined based on the matching conditions between different matching calorific value intervals and different preset scheduling strategies, and the strategy matching coefficients of different preset scheduling strategies are determined in combination with the matching coefficients of different matching calorific value intervals. The matching scheduling strategy in the scheduling strategy is determined based on the strategy matching coefficient.

[0097] Furthermore, the method for determining the load dispatching strategy of the thermal power unit is:

[0098] Based on the load demand in different time periods and the matching dispatching strategy, determining the correlation between the load demand in different time periods and the matching dispatching strategy;

[0099] The load dispatching strategy of the thermal power unit in different time periods is determined by utilizing the association situation, and the load dispatching strategy of the thermal power unit is determined according to the load dispatching strategy in different time periods.

[0100] It should be noted that the load scheduling strategy of the thermal power unit includes the maximum number of combustion adjustments and the minimum amount of coal input into the boiler.

[0101] Example 2

[0102] On the other hand, the present application provides a thermal power unit scheduling system considering coal quality measurement results, which adopts the above-mentioned thermal power unit scheduling method considering coal quality measurement results, specifically including:

[0103] Calorific value change assessment module, uniformity coefficient assessment module, matching strategy screening module, load scheduling module;

[0104] The calorific value variation evaluation module is responsible for obtaining the coal quality measurement data of the thermal power unit, and determining the variation data of the calorific value measurement results of different time periods based on the analysis results of the coal quality measurement data, and determining the calorific value variation coefficient of different time periods based on the variation data;

[0105] The uniformity coefficient evaluation module is responsible for taking the period when the calorific value variation coefficient does not meet the requirements as the calorific value variation period, and using the distribution data of the calorific value variation period to determine whether the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit meets the requirements;

[0106] The matching strategy screening module is responsible for determining the matching time periods in different calorific value intervals based on the measurement results of the calorific values ​​in different time periods, and determining the matching conditions with different preset scheduling strategies in combination with the measurement results of the calorific values ​​in different matching time periods, and determining the matching scheduling strategy based on the matching conditions;

[0107] The load scheduling module is responsible for obtaining the load demand of the thermal power unit in different time periods, and using the load demand in different time periods, when performing load scheduling processing, determines the load scheduling strategy of the thermal power unit according to the matching scheduling strategy.

[0108] In the embodiments of the present invention, the term "plurality" refers to two or more than two, unless otherwise clearly defined. The terms "installation", "connection", "fixation" and the like should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection. For those skilled in the art, the specific meanings of the above terms in the embodiments of the present invention can be understood according to the specific circumstances.

[0109] In the description of the embodiments of the present invention, it needs to be understood that the directions or positional relationships indicated by the terms "upper" and "lower" are 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 orientation. Therefore, it cannot be understood as a limitation on the embodiments of the present invention.

[0110] In the description of this specification, the description of the terms "one embodiment", "a preferred embodiment", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0111] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for scheduling thermal power units taking into account coal quality measurement results, characterized in that: Specifically include: Obtain the coal quality measurement data of the thermal power unit, and determine the change data of the calorific value measurement results of different time periods based on the analysis results of the coal quality measurement data, and determine the calorific value variation coefficient of different time periods according to the variation data. When there is a time period in which the calorific value variation coefficient does not meet the requirements, proceed to the next step; The time period in which the calorific value variation coefficient does not meet the requirements is regarded as the calorific value variation period, and when the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit does not meet the requirements by using the distribution data of the calorific value variation period, the next step is entered; Determine matching time periods in different calorific value intervals based on the measurement results of calorific values ​​in different time periods, determine matching conditions with different preset scheduling strategies based on the measurement results of calorific values ​​in different matching time periods, and determine matching scheduling strategies based on the matching conditions; The load demands of the thermal power unit in different time periods are obtained, and the load demands in different time periods are used to determine the load scheduling strategy of the thermal power unit according to the matching scheduling strategy when performing load scheduling processing.

2. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 1, characterized in that: The coal quality measurement data is determined based on the measurement results of the coal quality measuring device.

3. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 1, characterized in that: The variation data of the calorific value measurement result is determined according to the variation of the calorific value measurement result at different moments.

4. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 1, characterized in that: The method for determining the coefficient of variation of the calorific value of the time period is: Determine the change of the calorific value at different times in the time period and the calorific value at adjacent times based on the analysis result of the change data; Determine the calorific value change time in the time period by using the change situation; The calorific value variation coefficient of the time period is determined according to the proportion of the number of calorific value variation moments in the time period.

5. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 4, characterized in that: The calorific value change moment is a moment when the change of the calorific value at the adjacent moment is not within the preset change threshold range.

6. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 1, characterized in that: The matching period of the calorific value interval is a period in which the measurement result of the calorific value falls into the calorific value interval.

7. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 1, characterized in that: The method for determining the matching scheduling strategy is: Determine a calorific value interval whose number of matching time periods is greater than a preset number of matching time periods by using the number of matching time periods in different calorific value intervals, and use it as a matching calorific value interval; Determine the number of matching time periods in different calorific value intervals based on the analysis results of the matching time periods in different calorific value intervals, and determine the matching coefficients of different matching calorific value intervals based on the proportion of the number of matching time periods in the matching calorific value intervals; The matching preset scheduling strategies for different matching calorific value intervals are determined based on the matching conditions between different matching calorific value intervals and different preset scheduling strategies, and the strategy matching coefficients of different preset scheduling strategies are determined in combination with the matching coefficients of different matching calorific value intervals. The matching scheduling strategy in the scheduling strategy is determined based on the strategy matching coefficient.

8. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 7, characterized in that: The matching scheduling strategy in the scheduling strategy is a preset scheduling strategy with the largest strategy matching coefficient.

9. The method for improving the rapid load response capability of a unit by using a main steam heating regulating valve as claimed in claim 1, characterized in that: The method for determining the load dispatch strategy of the thermal power unit is: Based on the load demand in different time periods and the matching dispatching strategy, determining the correlation between the load demand in different time periods and the matching dispatching strategy; The load dispatching strategy of the thermal power unit in different time periods is determined by utilizing the association situation, and the load dispatching strategy of the thermal power unit is determined according to the load dispatching strategy in different time periods.

10. A thermal power unit scheduling system considering coal quality measurement results, using a thermal power unit scheduling method considering coal quality measurement results according to any one of claims 1 to 9, characterized in that: Specifically include: Calorific value change assessment module, uniformity coefficient assessment module, matching strategy screening module, load scheduling module; The calorific value variation evaluation module is responsible for obtaining the coal quality measurement data of the thermal power unit, and determining the variation data of the calorific value measurement results of different time periods based on the analysis results of the coal quality measurement data, and determining the calorific value variation coefficient of different time periods based on the variation data; The uniformity coefficient evaluation module is responsible for taking the period when the calorific value variation coefficient does not meet the requirements as the calorific value variation period, and using the distribution data of the calorific value variation period to determine whether the measurement uniformity coefficient of the calorific value of the pulverized coal of the thermal power unit meets the requirements; The matching strategy screening module is responsible for determining the matching time periods in different calorific value intervals based on the measurement results of the calorific values ​​in different time periods, and determining the matching conditions with different preset scheduling strategies in combination with the measurement results of the calorific values ​​in different matching time periods, and determining the matching scheduling strategy based on the matching conditions; The load scheduling module is responsible for obtaining the load demand of the thermal power unit in different time periods, and using the load demand in different time periods, when performing load scheduling processing, determines the load scheduling strategy of the thermal power unit according to the matching scheduling strategy.

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