Load scheduling processing method and system for zero-carbon park

Abstract

The invention provides a load scheduling processing method and system for a zero-carbon park, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining the matching data of the aging influence weather types of different new energy devices, determining a stability influence value of the aging influence weather type based on the matching data and output data of load scheduling of different new energy devices, and obtaining distribution data of different aging influence weather types and output change data of the new energy devices, and in combination with the stability influence values of the different aging influence weather types, the updating processing scheme of the load scheduling strategy under the different aging influence weather types is determined, so that the reliability of load scheduling processing is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of zero-carbon park, and particularly relates to a load scheduling processing method and system for a zero-carbon park. BACKGROUND

[0002] A zero-carbon park is often constructed by various energy equipment such as new energy equipment, heat pumps, and energy storage devices, and therefore, how to realize the optimized scheduling processing of different types of equipment and reduce the carbon emission of the park becomes a technical problem to be solved.

[0003] In order to reduce the carbon emission of the park, the prior art scheme constructs a multi-module hybrid operation model to complete the optimized scheduling of the zero-carbon park system, takes the minimum carbon emission as the target, and realizes the optimized scheduling processing of the system of the zero-carbon park, but the following technical problems exist: With the change of the operation time, the new energy equipment and the energy storage system will inevitably have the aging problem, and therefore, the fixed load scheduling strategy is adopted in the prior art scheme, which may, on the one hand, cause the output reliability to be affected to a certain extent due to the equipment aging, and on the other hand, may cause the overall carbon emission to be affected to a certain extent in the case of insufficient output.

[0004] To solve the above technical problems, the application provides a load scheduling processing method and system for a zero-carbon park. SUMMARY

[0005] To achieve the object of the application, the application adopts the following technical scheme: Specifically, the application provides a load scheduling processing method for a zero-carbon park, which specifically comprises the following steps: S1 determining the output change data of different new energy equipment based on the analysis result of the output data of the new energy equipment in the park, and determining the aging influence weather type of different new energy equipment based on the deviation from the preset output; S2 based on the distribution data of different aging influence weather types, determining that the optimization processing of the load scheduling strategy of the zero-carbon park does not need to adopt the preset strategy, and entering the next step; S3 determining the matching data of the aging influence weather type of different new energy equipment, and determining the stability influence value of the aging influence weather type based on the matching data and the output data of the load scheduling of different new energy equipment; S4 obtaining the distribution data of different aging influence weather types and the output change data of new energy equipment, and determining the update processing scheme of the load scheduling strategy under different aging influence weather types in combination with the stability influence value of different aging influence weather types.

[0006] The application has the following beneficial effects: The stability influence value of the aging influence weather type is determined based on the matching data and the output data of the load scheduling of different new energy equipment, and the deviation between the output demand of the load scheduling and the output of the new energy equipment is considered, so that the technical problem of low reliability of the load scheduling processing of the zero-carbon park caused by the non-updating of the load scheduling strategy is avoided, and the influence of the load scheduling from the perspective of the aging influence is evaluated.

[0007] According to the distribution data of the aging influence weather type and the output variation data of the new energy equipment, and the stability influence value of different aging influence weather types, the updating processing scheme of the load scheduling strategy under the aging influence weather type is determined, which not only considers the difference in the proportion of the number of aging influence weather types, but also considers the deviation of the new energy equipment from the preset output and the influence degree on the load scheduling strategy, and further generates a differentiated updating processing method of the load scheduling strategy, thereby ensuring the real-time and reliability of the updating processing of the load scheduling strategy.

[0008] Further, the output variation data of the new energy equipment is determined according to the output of the new energy equipment on different dates under the weather type.

[0009] Further, the weather type is divided according to the light intensity and wind speed of different dates, and specifically, the dates with light intensity and wind speed in the same interval are divided into the same weather type.

[0010] Further, the preset output is determined according to the maximum value of the output of the new energy equipment under the weather type.

[0011] Further, the method for determining the aging influence weather type of the new energy equipment is: determining the deviation of the output of different dates from the preset output according to the output of the new energy equipment on different dates under the weather type; determining the output deviation date in the date based on the deviation; determining whether the weather type is an aging influence weather type according to the output deviation date under the weather type.

[0012] Further, the method for determining the updating processing scheme of the load scheduling strategy under the aging influence weather type is: determining the proportion of the number of dates of the aging influence weather type according to the distribution data of the aging influence weather type; determining the deviation of the output of the new energy equipment on different dates under the aging weather type from the preset output as the output deviation, and The number of dates of the weather type affected by the aging, the output deviation, and the stability influence value are determined to determine the update processing scheme of the load scheduling strategy under the weather type affected by the aging.

[0013] In another aspect, the embodiments of the present application provide a computer system having stored thereon a computer program which, when executed by a computer, causes the computer to perform the load scheduling processing method for a zero-carbon park.

[0014] In another aspect, the embodiments of the present application provide a computer program product, characterized in that the computer program product stores instructions which, when executed by a computer, cause the computer to implement the load scheduling processing method for a zero-carbon park. BRIEF DESCRIPTION OF DRAWINGS

[0015] The above and other features and advantages of the present application will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings in which:

[0016] Figure 1 is a flowchart of a load scheduling processing method for a zero-carbon park; Figure 2 is a flowchart of a method for determining a weather type affected by aging of a new energy device; Figure 3 is a flowchart of a method for determining a stability influence value of a weather type affected by aging. DETAILED DESCRIPTION

[0017] Example embodiments now will be described more fully hereinafter with reference to the accompanying drawings. Example embodiments may, however, be implemented in many different forms and should not be construed as limited to the implementations set forth herein; rather, these implementations are provided as non-limiting examples so that this disclosure will be thorough and complete, and will fully convey the scope of the example embodiments to those skilled in the art. Like reference numerals refer to like elements throughout the figures, and thus description of the same will be simplified or omitted.

[0018] The terms "one", "a", "an", "said", and "the" are used to mean one or more elements, components, members, etc.; the terms "comprises", "comprising", "has", "having", "includes", "including", and the like are used to mean open-ended including and do not exclude additional elements, components, members, etc.

[0019] Embodiment 1 To solve the above problem, according to one aspect of the present application, as shown in the drawings, a load scheduling processing method for a zero-carbon park is provided, specifically comprising: Figure 1 ​S1 determines the output fluctuation data of different new energy devices based on the analysis result of the output data of the new energy devices inside the park, and determines the aging-affected weather type of different new energy devices based on the deviation from the preset output. Further, the preset output is determined according to the maximum value of the output of the new energy device under the weather type.

[0020] Specifically, as shown in Figure 2 The method for determining the aging-affected weather type of the new energy device is: determining the deviation of the output of different dates from the preset output based on the output of the new energy device under the weather type on different dates; determining the output deviation date in the dates based on the deviation; determining whether the weather type is an aging-affected weather type according to the output deviation date under the weather type.

[0021] Specifically, when the number of output deviation dates under the weather type does not meet the requirement, i.e., is greater than the threshold, it is determined that the weather type is an aging-affected weather type.

[0022] It can be understood that the output deviation date is a date whose deviation amount does not meet the requirement, and specifically, the date whose deviation amount is within the preset range can be regarded as the output deviation date.

[0023] Optionally, the method for determining the aging-affected weather type of the new energy device is: determining the deviation of the output of different dates from the preset output based on the output of the new energy device under the weather type on different dates; determining the average value of the deviation amount of different dates under the weather type based on the deviation amount, and taking it as the average deviation amount; determining whether the weather type is an aging-affected weather type according to the average deviation amount.

[0024] In one possible embodiment, if the average deviation amount is greater than the threshold, it is determined that the weather type is an aging-affected weather type.

[0025] Further, the output fluctuation data of the new energy device is determined according to the output of the new energy device under the weather type on different dates.

[0026] Specifically, the weather type is divided according to the light intensity and wind speed of different dates, and specifically, the dates with the light intensity and wind speed in the same interval are divided into the same weather type.

[0027] S2 determines, based on the distribution data of different aging-affected weather types, whether optimization processing of the load scheduling strategy of the zero-carbon park needs to be performed using the preset strategy, and enters the next step if it is determined that the optimization processing of the load scheduling strategy of the zero-carbon park does not need to be performed using the preset strategy; Further, the determination of whether the optimization processing of the load scheduling strategy of the zero-carbon park needs to be performed using the preset strategy specifically includes: Based on the distribution data of different aging-affected weather types, the dates corresponding to different aging-affected weather types are determined and are taken as aging dates. According to the composition data of the aging dates of the zero-carbon park, it is determined whether the optimization processing of the load scheduling strategy of the zero-carbon park needs to be performed using the preset strategy.

[0028] It should be noted that when the proportion of the number of dates of the aging dates of the zero-carbon park is greater than a target threshold, it is determined that the optimization processing of the load scheduling strategy of the zero-carbon park needs to be performed using the preset strategy.

[0029] Optionally, the determination of whether the optimization processing of the load scheduling strategy of the zero-carbon park needs to be performed using the preset strategy specifically includes: Based on the distribution data of different aging-affected weather types, the dates corresponding to different aging-affected weather types are determined and are taken as aging dates. It can be understood that in the above step, if the proportion of the number of aging dates is greater than a certain threshold, the optimization processing of the load scheduling strategy of the zero-carbon park needs to be performed using the preset strategy at this time because the number of aging dates is large.

[0030] Further, if the proportion of the number of aging dates is not greater than a certain threshold, if the number of aging dates is within a certain interval, that is, the number of aging dates is small, the occurrence probability of the aging-affected weather type is not large at this time, and therefore the influence degree of the load scheduling of the entire zero-carbon park is limited, and therefore the optimization processing of the load scheduling strategy of the zero-carbon park does not need to be performed using the preset strategy.

[0031] Only when the number of aging dates is not within a certain interval, the next step of determining the date composition proportion of different aging-affected weather types in different unit time periods is entered.

[0032] According to the composition data of the dates of different aging-affected weather types in different unit time periods, the date composition proportion of different aging-affected weather types in different unit time periods is determined. Additionally, it is understandable that before determining the proportion of different aging weather types in different time periods, it is also necessary to determine whether there are time periods where the proportion of aging dates does not meet the requirements, i.e., time periods with a proportion of more than 0.9. If so, it can be directly determined that a preset strategy needs to be adopted to optimize the load dispatching strategy of the zero-carbon park.

[0033] Furthermore, it should be noted that if there are no time periods where the proportion of aging dates does not meet the requirements, then it is necessary to determine the time periods where the proportion of aging dates is greater than 0.5 as the aging-affected time periods. When the number of aging-affected time periods exceeds a certain threshold, the aging-affected weather type has a greater impact on the zero-carbon park. Therefore, it can be directly determined that a preset strategy needs to be adopted to optimize the load scheduling strategy of the zero-carbon park.

[0034] Furthermore, even when the number of aging-affected units exceeds a certain threshold, it is still necessary to determine whether the proportion of dates of aging weather types in the aging-affected units is consistent. When the proportion of dates of aging weather types in different aging-affected units is different, it can be directly determined that a preset strategy needs to be adopted to optimize the load scheduling strategy of the zero-carbon park.

[0035] Based on the proportion of dates with different aging weather types and the proportion of aging dates in different time periods, it is determined whether a preset strategy is needed to optimize the load dispatching strategy of the zero-carbon park.

[0036] In one possible embodiment, the time period in which the proportion of dates of aging weather types is greater than 0.2 can be used as the time period of influence. The aging influence value is determined based on the average proportion of the number of time periods of influence of different aging weather types and the average proportion of the number of aging dates. When the aging influence value is greater than 0.3, that is, greater than a certain threshold, it can be determined that a preset strategy needs to be adopted to optimize the load scheduling strategy of the zero-carbon park.

[0037] It is also understood that the prediction strategy generates corresponding load scheduling strategies under different aging-affected weather types.

[0038] S3 determines matching data for different weather types affecting the aging of new energy equipment, and determines the stability impact value for the weather type affecting the aging based on the matching data and the output data of the load scheduling of different new energy equipment. Furthermore, the matching data for the aging impact weather types of the new energy equipment includes the output power of different new energy equipment under different aging impact weather types.

[0039] Specifically, such as Figure 3 As shown, the method for determining the stability impact value of aging on weather types is as follows: Using matching data of different weather types affecting the aging of new energy equipment, the output power of the new energy equipment under the weather types affecting the aging is determined; Based on the deviation between the output power and the output power data of the load scheduling, determine the dates when the output power of the new energy equipment is insufficient under the aging-affected weather type; Based on the composition data of the days with insufficient output of new energy equipment under different aging-related weather types, the stability impact value of the aging-related weather type is determined.

[0040] It should also be noted that the insufficient output date is the date on which the output of the new energy equipment is less than the output data of the load dispatch on that date.

[0041] It is understandable that the stability impact value of the aging-related weather type is determined based on the average percentage of days with insufficient output of new energy equipment in different dates.

[0042] S4 acquires distribution data of different aging-related weather types and output variation data of new energy equipment, and combines the stability impact values ​​of different aging-related weather types to determine the update processing scheme of load dispatching strategy under different aging-related weather types.

[0043] Furthermore, the method for determining the update processing scheme of the load dispatch strategy under the aging-affected weather type is as follows: Based on the distribution data of the weather types affected by aging, determine the percentage of dates affected by the weather types affected by aging. Determine the deviation between the output power of the new energy equipment and the preset output power on different days under the aging weather type, and use it as the output deviation. By analyzing the percentage of dates affected by the aging weather type, the output deviation, and the stability impact value, an update processing scheme for the load dispatch strategy under the aging weather type is determined.

[0044] Specifically, based on the percentage of dates affected by the aging weather type, the output deviation, and the stability impact value, an update processing scheme for the load dispatching strategy under the aging weather type is determined, including the following: When the proportion of dates with the aging weather impact type is greater than the proportion of dates with the preset impact, it is determined that the load scheduling strategy needs to be updated under the aging weather impact type. When the proportion of dates affected by the aging weather type is not greater than the proportion of dates set in the preset range, if the average output deviation on different dates does not meet the requirements for the number of new energy devices or the stability impact value is greater than the preset impact threshold, then it is determined that the load scheduling strategy needs to be updated under the aging weather type. In other cases, the load scheduling strategy does not need to be updated. In one possible embodiment, whether the requirements are met can be determined by a threshold.

[0045] Furthermore, the method for determining the update processing scheme of the load dispatch strategy under the aging-affected weather type is as follows: Based on the distribution data of the weather types affected by aging, determine the percentage of dates affected by the weather types affected by aging. It should be noted that in the above steps, if it is determined that the stability impact value under the aging-affected weather type does not meet the requirements, that is, it is greater than the threshold, the operational stability of the load dispatching strategy is difficult to meet the requirements. Therefore, it can be directly determined that the load dispatching strategy needs to be updated.

[0046] Furthermore, if the stability impact value meets the requirements in the above steps, and if the proportion of dates with aging-affected weather types is too large, the specific proportion can be determined by the preset proportion threshold corresponding to the stability impact value. When the proportion of dates is greater than the preset proportion threshold, it is determined that the load scheduling strategy needs to be updated.

[0047] Furthermore, it also includes a second percentage threshold, which is specifically determined based on the condition that the impact of the stability impact value is relatively small at the percentage threshold. Specifically, it is determined based on the preset correspondence between the stability impact value and the second percentage threshold. When the percentage of the number of days is less than the second percentage threshold, it is determined that no load scheduling strategy update is required.

[0048] Determine the deviation between the output power of new energy equipment and the preset output power on different days under the aging-affected weather type, and use it as the output deviation. Based on the average of the output deviation of different new energy equipment on different days under the aging-affected weather type, determine the equipment with output deviation among the new energy equipment. It should also be noted that if the number of devices with output deviation in the new energy equipment is large, i.e., greater than the threshold, it indicates that the stability of the load dispatch is not high. Therefore, it can be directly determined that the load dispatch strategy needs to be updated.

[0049] Furthermore, if the number of new energy equipment with output deviation is not large, it is also necessary to determine the average percentage of the output of the equipment with output deviation on different dates. When the average percentage of the output of the equipment with output deviation on different dates is greater than 0.4, it is determined that the load dispatching strategy needs to be updated.

[0050] By analyzing the percentage of dates affected by the aging weather type, the output deviation equipment, and the stability impact value, an update processing scheme for the load dispatching strategy under the aging weather type is determined.

[0051] In another embodiment, the influence value can be determined by the average of the proportion of the output of the power deviation device on different days and the average of the stability influence value. The influence value is determined according to the correspondence between the preset value of the proportion and the proportion of the number of days. When the proportion of the number of days is greater than the preset value, it is determined that the load scheduling strategy needs to be updated. Otherwise, the load scheduling strategy does not need to be updated.

[0052] Example 2 On the other hand, this application provides a computer system that stores a computer program. When the computer program is executed in the computer, it causes the computer to execute the above-mentioned load scheduling processing method for zero-carbon industrial parks.

[0053] Example 3 On the other hand, this application provides a computer program product, characterized in that the computer program product stores instructions, which, when executed by a computer, cause the computer to implement the above-described load scheduling processing method for zero-carbon industrial parks.

[0054] In this embodiment of the invention, the term "multiple" refers to two or more, unless otherwise explicitly defined. The terms "install," "connect," and "fix" should be interpreted broadly. For example, "connect" can mean a fixed connection, a detachable connection, or an integral connection. Those skilled in the art can understand the specific meaning of the above terms in this embodiment of the invention based on the specific circumstances.

[0055] In the description of the embodiments of the present invention, it should be understood that the terms "upper" and "lower" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of the present invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of the present invention.

[0056] In the description of this specification, the terms "an embodiment," "a preferred embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above 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 one or more embodiments or examples.

[0057] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. For those skilled in the art, the embodiments of the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of the present invention should be included within the protection scope of the embodiments of the present invention.

Claims

1. A load dispatching method for zero-carbon industrial parks, characterized in that, Specifically, it includes: Based on the analysis results of the output data of new energy equipment in the park, the output variation data of different new energy equipment is determined, and based on the deviation from the preset output, the weather types of aging impact of different new energy equipment are determined. Based on the distribution data of different weather types affected by aging, if it is determined that the load dispatch strategy for zero-carbon parks does not need to be optimized using a preset strategy, proceed to the next step. Determine matching data for different weather types affecting the aging of new energy equipment, and determine the stability impact value for the weather types affecting the aging based on the matching data and the output data of the load scheduling of different new energy equipment. By acquiring distribution data of different aging-related weather types and output variation data of new energy equipment, and combining the stability impact values ​​of different aging-related weather types, we can determine the update processing scheme of load dispatching strategy under different aging-related weather types.

2. The load dispatching method for zero-carbon industrial parks as described in claim 1, characterized in that, The output variation data of the new energy equipment is determined based on the output of the new energy equipment on different days under different weather conditions.

3. The load dispatching method for zero-carbon industrial parks as described in claim 2, characterized in that, The weather types are divided according to the amount of sunshine and wind speed on different days. Specifically, days with sunshine and wind speed in the same range are classified into the same weather type.

4. The load dispatching method for zero-carbon industrial parks as described in claim 1, characterized in that, The preset output power is determined based on the maximum output power of the new energy equipment under the stated weather type.

5. The load dispatching method for zero-carbon industrial parks as described in claim 1, characterized in that, The method for determining the weather type impact of the aging of the aforementioned new energy equipment is as follows: Based on the output power of the new energy equipment on different days under different weather conditions, determine the deviation between the output power on different days and the preset output power; The output deviation date is determined based on the deviation amount; Based on the output deviation date under the stated weather type, determine whether the weather type is an aging-affected weather type.

6. The load dispatching method for zero-carbon industrial parks as described in claim 5, characterized in that, The date on which the deviation is within the preset range is taken as the output deviation date.

7. The load dispatching method for zero-carbon industrial parks as described in claim 1, characterized in that, The matching data for the weather types affecting the aging of new energy equipment includes the output power of different new energy equipment under different weather types affecting the aging.

8. The load dispatching method for zero-carbon industrial parks as described in claim 1, characterized in that, The method for determining the stability impact value of aging on weather types is as follows: Using matching data of different weather types affecting the aging of new energy equipment, the output power of the new energy equipment under the weather types affecting the aging is determined; Based on the deviation between the output power and the output power data of the load scheduling, determine the dates when the output power of the new energy equipment is insufficient under the aging-affected weather type; Based on the composition data of the days with insufficient output of new energy equipment under different aging-related weather types, the stability impact value of the aging-related weather type is determined.

9. The load dispatching method for zero-carbon industrial parks as described in claim 1, characterized in that, The method for determining the update processing scheme of the load dispatch strategy under the aforementioned aging-affected weather type is as follows: Based on the distribution data of the weather types affected by aging, determine the percentage of dates affected by the weather types affected by aging. Determine the deviation between the output power of the new energy equipment and the preset output power on different days under the aging weather type, and use it as the output deviation. By analyzing the percentage of dates affected by the aging weather type, the output deviation, and the stability impact value, an update processing scheme for the load dispatch strategy under the aging weather type is determined.

10. A computer system having a computer program stored thereon, wherein when the computer program is executed in the computer, it is characterized in that, The computer is instructed to execute a load scheduling processing method for zero-carbon industrial parks as described in any one of claims 1-9.

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