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 zero-carbon parks, and the method specifically comprises the steps: taking interaction types under different weather types, adjustment matching conditions of a user load in different time periods, and interval time period data of an internet surfing time period as a basis; the method comprises the following steps: determining an update identification scheme of a load scheduling strategy under a weather type when a settled enterprise in a park changes, determining an update processing scheme of the load scheduling strategy under different weather types based on the update identification scheme and a coincidence deviation condition of load data of a newly settled enterprise and an internet surfing time period, and updating the load scheduling strategy under the load scheduling strategy under the different weather types based on the update processing scheme and the coincidence deviation condition of the load data and the internet surfing time period of the newly settled enterprise. And the carbon emission of the park is reduced.

Description

Technical Field

[0001] This invention belongs to the field of zero-carbon park technology, and in particular relates to a load scheduling method and system for zero-carbon parks. Background Technology

[0002] Load scheduling in zero-carbon industrial parks is a core component for achieving coordinated optimization of "source-grid-load-storage". The key lies in using intelligent methods to achieve precise monitoring, prediction, and dynamic adjustment of the load. Specifically, in invention patent application CN119809248A, "An Optimized Scheduling Method for Wind, Solar, Thermal, Cooling, Gas, and Hydrogen in Off-Grid Zero-Carbon Industrial Parks", a mathematical model and operational constraints are constructed based on the system model, and an optimization objective function is established for the system. The reinforcement learning framework for optimizing the scheduling of off-grid zero-carbon industrial park systems is described as a Markov decision process. Based on an improved flexible actor-commentator algorithm, combining advantage learning and transfer learning with the SAC algorithm to solve the model, flexible and efficient scheduling of the integrated energy system is achieved.

[0003] When handling load dispatching in zero-carbon industrial parks, the enterprises within the parks are gradually updated, so their loads will change as the enterprises are updated. Therefore, how to update the interaction mode with grid power under different weather conditions based on the update of enterprises, so as to minimize grid power consumption and reduce carbon emissions, has become an urgent technical problem to be solved.

[0004] To address the aforementioned technical problems, this application provides a load scheduling method and system for zero-carbon industrial parks. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a load dispatching method for zero-carbon industrial parks, which includes: S1 uses the power generation data of the distributed energy system within the park to determine the grid-connected power generation data under different weather types. When the grid-connected power generation data under different weather types meets the requirements, the interaction type between the power generation within the park and the grid-side power generation under different weather types is determined based on the grid-connected power generation data under different weather types. Based on the interaction type under different weather types, the adjustment and matching of user load in different time periods, and the time interval data between the internet access time, S2 determines the update identification scheme of the load scheduling strategy under the weather type when there are changes in the resident enterprises within the park. Based on the update identification scheme and the overlap deviation between the load data of the newly resident enterprises and the internet access time, S2 determines the update processing scheme of the load scheduling strategy under different weather types.

[0006] The beneficial effects of this invention are as follows: Based on the interaction types under different weather types, the adjustment and matching of user load in different time periods, and the time interval data between the user load and the internet access time, an updated identification scheme for the load dispatching strategy under the weather type is determined when there are changes in the resident enterprises within the park. This enables the determination of the difference in load supply reliability when there are changes in resident enterprises by the difference in the number of days with more internet access electricity under the weather type. Furthermore, by combining the adjustment and matching situation and the time interval data between the user load and the internet access time, the load supply reliability under the weather type can be assessed by using the electricity during the internet access time. This allows for the determination of the updated identification scheme for the load dispatching strategy under the weather type from the perspective of load supply reliability, thereby improving the reliability of load supply processing.

[0007] Based on the updated identification scheme and the overlap deviation between the load data and the grid connection time of newly registered enterprises, an updated processing scheme for the load dispatch strategy under different weather types is determined. This scheme considers both the weather type data that needs to be updated and the overlap deviation between the load data and the grid connection time of newly registered enterprises, leading to an assessment of the reliability of load supply under the aforementioned weather types. This enables the updating of the interaction strategy between the load dispatch strategy and the grid-side power supply under different weather types, further improving the reliability of load supply processing.

[0008] Furthermore, the weather type is divided based on the temperature and wind speed data of the date. Specifically, if the temperature and wind speed of two dates are in the same range, the two dates are classified into the same weather type. The temperature range is divided into equal intervals based on 2 degrees Celsius, and the wind speed range is divided into equal intervals based on 3 m / s.

[0009] Furthermore, the internet usage data includes internet usage at different times under the aforementioned weather type.

[0010] Furthermore, it was determined that the internet usage data met the requirements under different weather conditions, specifically including: Based on the internet usage data at different times under the aforementioned weather type, calculate the internet usage data at different times under the aforementioned weather type. The total internet usage for different days under the aforementioned weather type is determined based on the internet usage at different times. Based on the total electricity consumption for internet access and the electricity consumption used by the network side on different days under different weather conditions, determine whether the electricity consumption data for internet access under different weather conditions meets the requirements.

[0011] It should be noted that the amount of electricity used on the grid side is determined based on the amount of electricity obtained from the power grid under the aforementioned weather type.

[0012] Understandably, based on the total electricity consumption for internet access and the electricity usage on the network side under different weather conditions on different days, it is determined whether the internet electricity consumption data under different weather conditions meets the requirements, specifically including: Based on the grid-side electricity consumption on different days under different weather conditions, it is determined that when the average grid-side electricity consumption on different days is less than the preset electricity consumption threshold, the amount of electricity obtained from the grid is less. No matter how high the grid-connected electricity consumption is, reducing the grid-connected electricity consumption will not have a significant impact on the carbon emissions of the entire park. Therefore, it is determined that the grid-connected electricity consumption data under different weather conditions does not meet the requirements.

[0013] In one possible embodiment, if the average grid-side power consumption on different dates is less than 100 kWh, then the grid-side power consumption data under different weather types is determined to be unacceptable.

[0014] Additionally, it is understandable that if the average power consumption on different days is not less than the preset power consumption threshold, then if the average difference between the power consumption on different days and the power consumption on the grid meets the requirements, that is, if the power consumption on the grid can meet the power consumption demand of the grid, for example, if the average difference between the power consumption on different days and the power consumption on the grid is greater than 20 kWh, then the power consumption data under different weather types is determined to meet the requirements.

[0015] Furthermore, the method for determining the interaction type between the park and the grid-side power supply under different weather conditions is as follows: Based on the internet usage data under the aforementioned weather type, determine the internet usage at different times under the aforementioned weather type; Based on the amount of electricity used online and the amount of electricity used on the grid side at different times, determine the online time period and the grid side power utilization period under the aforementioned weather type; Based on the distribution data of internet access time periods and grid-side power utilization time periods under different weather types, the interaction type between the park and grid-side power consumption under the aforementioned weather types is determined.

[0016] It is understandable that when the difference between the electricity consumption on the Internet and the electricity consumption on the network side on different days under the aforementioned weather type is greater than a preset electricity consumption threshold, the interaction type between the electricity consumption on the network side within the park under the aforementioned weather type is determined to be a restricted interaction type.

[0017] Furthermore, when the difference between the electricity consumption on the Internet and the electricity consumption on the network side is not greater than a preset electricity threshold on different days under the weather type, if the proportion of days with less electricity consumption on the Internet under the weather type than the electricity consumption on the network side does not meet the requirements, i.e., it is greater than a preset proportion threshold, then the interaction type between the Internet and the electricity consumption on the network side within the park under the weather type is determined to be a normal interaction type.

[0018] It should be noted that when the interaction is restricted, the zero-carbon park is restricted from obtaining and transmitting electricity from the grid. When there is excess electricity, energy storage devices are used for energy storage and electric heating equipment is used for heat load storage.

[0019] Understandably, when the interaction is normal, the zero-carbon park is restricted from obtaining and transmitting electricity from the grid. When there is a surplus of electricity, it is processed normally and the electricity is transmitted to the grid.

[0020] Additionally, it can be understood that if the percentage of days with less electricity used by the network side under the aforementioned weather type meets the requirement, and if the percentage of days with the restricted interaction type meets the requirement, then the interaction type between the network side and the electricity used by the network side under the aforementioned weather type within the park is determined to be a restricted interaction type.

[0021] Furthermore, if the proportion of dates with the restricted interaction type does not meet the requirements, and if the interval between the internet access period under the weather type and the adjacent grid-side power utilization period is less than a preset interval threshold, then the interaction type between the park and the grid-side power consumption under the weather type is determined to be a restricted interaction type.

[0022] Additionally, it can be understood that if the interval between the internet access period under the aforementioned weather type and the adjacent grid-side power utilization period is not less than a preset interval threshold, then the interaction type between the park and the grid-side power under the aforementioned weather type is determined to be a normal interaction type.

[0023] Optionally, the method for determining the interaction type between the park and the grid-side power supply under different weather conditions is as follows: Based on the internet usage data under the aforementioned weather type, determine the internet usage at different times under the aforementioned weather type; Based on the electricity consumption and grid-side utilization at different times, determine the electricity consumption periods and grid-side utilization periods under the weather type. Then, determine the dates with excess electricity based on the difference between the electricity consumption and grid-side utilization during the electricity consumption periods on different dates. Based on the data on days with excess electricity under the aforementioned weather type and the distribution data on the time periods of grid-side electricity utilization, the interaction type between the park and the grid-side electricity under the aforementioned weather type is determined.

[0024] It should be noted that the grid-side power utilization period refers to the time period during which grid-side power is utilized, while the internet access period refers to the time period during which the park's power is processed for internet access.

[0025] It is understood that the date of excess electricity is the date on which the difference between the electricity used by the grid and the electricity used by the grid during the internet access period is greater than a preset electricity threshold, such as a date greater than 20 kWh.

[0026] It should be noted that when there are no days with excess electricity under the aforementioned weather type, the interaction type between the park and the grid-side electricity under that weather type is determined to be a normal interaction type.

[0027] Furthermore, when there are days with excess electricity under the weather type, if the proportion of days with excess electricity under the weather type is greater than a preset threshold for the proportion of days with excess electricity, for example, greater than 0.8, then the interaction type between the park and the grid-side electricity under the weather type is determined to be a restricted interaction type.

[0028] Additionally, it can be understood that if the proportion of days with excess electricity under the weather type is not greater than a preset date proportion threshold, and the proportion of days with restricted interaction type weather type is greater than the preset threshold in the most recent preset period, for example, the proportion of days with restricted interaction type weather type weather type is greater than 0.5 in the most recent 3 months, then the interaction type between the park and the grid-side electricity under the weather type is determined to be a restricted interaction type.

[0029] Furthermore, the method for determining the update identification scheme of the load dispatching strategy under the aforementioned weather type is as follows: Based on the interaction types under different weather conditions, the weather type that restricts the interaction types is determined; Based on the adjustment and matching of user load in different time periods under the aforementioned weather type, the grid-side power utilization period is determined. Based on the interval data between the grid-side power utilization period and the internet access period, the interval duration between the grid-side power utilization period and the adjacent internet access period is determined. Based on the weather type of the restricted interaction type and the interval between the grid-side power utilization period and the adjacent internet access period under the weather type, determine the update identification scheme of the load dispatching strategy under the weather type when there are changes in the resident enterprises in the park.

[0030] It should be noted that when the constituent data of the weather type with restricted interaction meets the requirements, if the proportion of the number of days with restricted interaction in the weather type within the most recent preset period is greater than a preset threshold, then the update identification scheme of the load scheduling strategy under the weather type is determined based on the load balancing data under the weather type with restricted interaction.

[0031] In one possible embodiment, when the proportion of the restricted interaction type of weather type among all weather types is greater than 0.5, then the load balancing data under the restricted interaction type of weather type is used to determine the update identification scheme of the load scheduling strategy under the weather type.

[0032] In one possible embodiment, when there are changes in the number of resident enterprises within the park and the number of days when the load under the restricted interaction weather type is greater than the load supply within the park does not meet the requirements, for example, more than 4 days, then it is determined that the load scheduling strategy under the restricted interaction weather type needs to be updated and identified.

[0033] Furthermore, when the constituent data of the weather type with restricted interaction does not meet the requirements, or if the proportion of the number of days with restricted interaction in the most recent preset period is not greater than a preset threshold, it is necessary to further determine the interval between the grid-side power utilization period and the adjacent internet access period under the weather type. If, under the weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is less than a preset duration threshold, for example, less than 1 hour, then the power used during the internet access period can meet the load demand of the grid-side power utilization period. Therefore, based on the load balancing data under the weather type with restricted interaction, an update identification scheme for the load scheduling strategy under the weather type with restricted interaction is determined.

[0034] Additionally, it is understood that if, under the aforementioned weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is not less than a preset duration threshold, then whenever there are changes in the companies located within the park, the load scheduling strategy needs to be updated and identified under the aforementioned restricted interaction weather type.

[0035] Optionally, the method for determining the update identification scheme of the load dispatching strategy under the aforementioned weather type is as follows: Based on the interaction types under different weather types, the weather types with restricted interaction types are determined. The supply reliability value of the weather types with restricted interaction types is determined according to the proportion of the number of weather types with restricted interaction types among all weather types and the proportion of the number of days with restricted interaction types in the most recent preset period. Based on the adjustment and matching of user load in different time periods under the aforementioned weather type, the grid-side power utilization period is determined. Based on the interval data between the grid-side power utilization period and the internet access period, the interval duration between the grid-side power utilization period and the adjacent internet access period is determined. Based on the supply reliability value and the interval between the grid-side power utilization period and the adjacent grid connection period under the weather type, an update identification scheme for the load dispatching strategy under the weather type is determined when there are changes in the resident enterprises within the park.

[0036] It is understood that the supply reliability value is determined based on the average of the proportion of weather types with restricted interaction types among all weather types and the proportion of the number of days with restricted interaction types in the most recent preset period.

[0037] In one possible embodiment, when the supply reliability value is greater than a preset reliability threshold, an update identification scheme for the load scheduling strategy under the weather type is determined based on the load balancing data under the weather type with restricted interaction.

[0038] Furthermore, when the supply reliability value is not greater than the preset reliability threshold, it is also necessary to further determine the interval between the grid-side power utilization period and the adjacent internet access period under the weather type. If, under the weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is less than the preset duration threshold, for example, less than 1 hour, then the power used during the internet access period can meet the load demand of the grid-side power utilization period. Therefore, based on the load balancing data under the weather type with restricted interaction, the update identification scheme of the load scheduling strategy under the weather type with restricted interaction is determined.

[0039] Additionally, it is understood that if, under the aforementioned weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is not less than a preset duration threshold, then whenever there are changes in the companies located within the park, the load scheduling strategy needs to be updated and identified under the aforementioned restricted interaction weather type.

[0040] Furthermore, the method for determining the update processing scheme of the load dispatching strategy under the aforementioned weather type is as follows: Based on the aforementioned update identification scheme, the weather types that require update identification processing of load scheduling strategies are determined and used as the identified weather types; Based on the overlap and deviation between the load data of the newly registered enterprises and their internet access times, the load percentage of the newly registered enterprises during the internet access times is determined. Based on the load percentage of the newly registered enterprises during their online hours and the identified weather type data, an update processing scheme for the load scheduling strategy is determined.

[0041] It is understandable that when the number of identified weather types is greater than a preset threshold, for example, more than two, then the number of weather types that need to be updated for load scheduling strategy is large. Therefore, load scheduling strategy updates are performed under different weather types, that is, the interaction type between different weather types and grid-side power is redefined.

[0042] Additionally, it can be understood that when the number of identified weather types is not greater than a preset threshold, if the number of days under the identified weather type where the load is greater than the load supply within the park is greater than a preset threshold (e.g., if the number of days in the most recent month where the load is greater than the load supply within the park is greater than 5 days), then the load scheduling strategy will be updated under the identified weather type, and the interaction type with the grid-side power supply under the identified weather type will be determined.

[0043] Furthermore, when the number of days under the identified weather type where the load is greater than the load supply within the park is not greater than a preset threshold number of days, the load percentage of the newly established enterprise during its internet access period is determined, i.e., the load percentage of the newly established enterprise during its internet access period on different days under the identified weather type. If the average load percentage of the internet access period on different days under the identified weather type is less than a preset load percentage threshold, for example, less than 0.3, then the load scheduling strategy is updated under the identified weather type, and the interaction type with the grid-side power supply under the identified weather type is determined.

[0044] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described load scheduling processing method for a zero-carbon industrial park when running the computer program.

[0045] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0046] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0047] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0048] Figure 1 This is a flowchart of a load scheduling method for zero-carbon industrial parks; Figure 2 It is a flowchart for determining whether internet power consumption data meets requirements under different weather conditions; Figure 3 This is a flowchart illustrating the method for determining the interaction type between the park and the grid-side power supply under different weather conditions. Detailed Implementation

[0049] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0050] Example 1 like Figure 1 As shown, this application provides a load dispatching method for zero-carbon industrial parks, specifically including: S1 uses the power generation data of the distributed energy system within the park to determine the grid-connected power generation data under different weather types. When the grid-connected power generation data under different weather types meets the requirements, the interaction type between the power generation within the park and the grid-side power generation under different weather types is determined based on the grid-connected power generation data under different weather types. Based on the interaction type under different weather types, the adjustment and matching of user load in different time periods, and the time interval data between the internet access time, S2 determines the update identification scheme of the load scheduling strategy under the weather type when there are changes in the resident enterprises within the park. Based on the update identification scheme and the overlap deviation between the load data of the newly resident enterprises and the internet access time, S2 determines the update processing scheme of the load scheduling strategy under different weather types.

[0051] Furthermore, the weather type is divided based on the temperature and wind speed data of the date. Specifically, if the temperature and wind speed of two dates are in the same range, the two dates are classified into the same weather type. The temperature range is divided into equal intervals based on 2 degrees Celsius, and the wind speed range is divided into equal intervals based on 3 m / s.

[0052] Furthermore, the internet usage data includes internet usage at different times under the aforementioned weather type.

[0053] Furthermore, such as Figure 2As shown, the data on internet usage under different weather conditions meets the requirements, specifically including: Based on the internet usage data at different times under the aforementioned weather type, calculate the internet usage data at different times under the aforementioned weather type. The total internet usage for different days under the aforementioned weather type is determined based on the internet usage at different times. Based on the total electricity consumption for internet access and the electricity consumption used by the network side on different days under different weather conditions, determine whether the electricity consumption data for internet access under different weather conditions meets the requirements.

[0054] It should be noted that the amount of electricity used on the grid side is determined based on the amount of electricity obtained from the power grid under the aforementioned weather type.

[0055] Understandably, based on the total electricity consumption for internet access and the electricity usage on the network side under different weather conditions on different days, it is determined whether the internet electricity consumption data under different weather conditions meets the requirements, specifically including: Based on the grid-side electricity consumption on different days under different weather conditions, it is determined that when the average grid-side electricity consumption on different days is less than the preset electricity consumption threshold, the amount of electricity obtained from the grid is less. No matter how high the grid-connected electricity consumption is, reducing the grid-connected electricity consumption will not have a significant impact on the carbon emissions of the entire park. Therefore, it is determined that the grid-connected electricity consumption data under different weather conditions does not meet the requirements.

[0056] In one possible embodiment, if the average grid-side power consumption on different dates is less than 100 kWh, then the grid-side power consumption data under different weather types is determined to be unacceptable.

[0057] Additionally, it is understandable that if the average power consumption on different days is not less than the preset power consumption threshold, then if the average difference between the power consumption on different days and the power consumption on the grid meets the requirements, that is, if the power consumption on the grid can meet the power consumption demand of the grid, for example, if the average difference between the power consumption on different days and the power consumption on the grid is greater than 20 kWh, then the power consumption data under different weather types is determined to meet the requirements.

[0058] Furthermore, such as Figure 3 As shown, the method for determining the interaction type between the park and the grid-side power supply under different weather conditions is as follows: Based on the internet usage data under the aforementioned weather type, determine the internet usage at different times under the aforementioned weather type; Based on the amount of electricity used online and the amount of electricity used on the grid side at different times, determine the online time period and the grid side power utilization period under the aforementioned weather type; Based on the distribution data of internet access time periods and grid-side power utilization time periods under different weather types, the interaction type between the park and grid-side power consumption under the aforementioned weather types is determined.

[0059] It is understandable that when the difference between the electricity consumption on the Internet and the electricity consumption on the network side on different days under the aforementioned weather type is greater than a preset electricity consumption threshold, the interaction type between the electricity consumption on the network side within the park under the aforementioned weather type is determined to be a restricted interaction type.

[0060] Furthermore, when the difference between the electricity consumption on the Internet and the electricity consumption on the network side is not greater than a preset electricity threshold on different days under the weather type, if the proportion of days with less electricity consumption on the Internet under the weather type than the electricity consumption on the network side does not meet the requirements, i.e., it is greater than a preset proportion threshold, then the interaction type between the Internet and the electricity consumption on the network side within the park under the weather type is determined to be a normal interaction type.

[0061] It should be noted that when the interaction is restricted, the zero-carbon park is restricted from obtaining and transmitting electricity from the grid. When there is excess electricity, energy storage devices are used for energy storage and electric heating equipment is used for heat load storage.

[0062] Understandably, when the interaction is normal, the zero-carbon park is restricted from obtaining and transmitting electricity from the grid. When there is a surplus of electricity, it is processed normally and the electricity is transmitted to the grid.

[0063] Additionally, it can be understood that if the percentage of days with less electricity used by the network side under the aforementioned weather type meets the requirement, and if the percentage of days with the restricted interaction type meets the requirement, then the interaction type between the network side and the electricity used by the network side under the aforementioned weather type within the park is determined to be a restricted interaction type.

[0064] Furthermore, if the proportion of dates with the restricted interaction type does not meet the requirements, and if the interval between the internet access period under the weather type and the adjacent grid-side power utilization period is less than a preset interval threshold, then the interaction type between the park and the grid-side power consumption under the weather type is determined to be a restricted interaction type.

[0065] Additionally, it can be understood that if the interval between the internet access period under the aforementioned weather type and the adjacent grid-side power utilization period is not less than a preset interval threshold, then the interaction type between the park and the grid-side power under the aforementioned weather type is determined to be a normal interaction type.

[0066] Optionally, the method for determining the interaction type between the park and the grid-side power supply under different weather conditions is as follows: Based on the internet usage data under the aforementioned weather type, determine the internet usage at different times under the aforementioned weather type; Based on the electricity consumption and grid-side utilization at different times, determine the electricity consumption periods and grid-side utilization periods under the weather type. Then, determine the dates with excess electricity based on the difference between the electricity consumption and grid-side utilization during the electricity consumption periods on different dates. Based on the data on days with excess electricity under the aforementioned weather type and the distribution data on the time periods of grid-side electricity utilization, the interaction type between the park and the grid-side electricity under the aforementioned weather type is determined.

[0067] It should be noted that the grid-side power utilization period refers to the time period during which grid-side power is utilized, while the internet access period refers to the time period during which the park's power is processed for internet access.

[0068] It is understood that the date of excess electricity is the date on which the difference between the electricity used by the grid and the electricity used by the grid during the internet access period is greater than a preset electricity threshold, such as a date greater than 20 kWh.

[0069] It should be noted that when there are no days with excess electricity under the aforementioned weather type, the interaction type between the park and the grid-side electricity under that weather type is determined to be a normal interaction type.

[0070] Furthermore, when there are days with excess electricity under the weather type, if the proportion of days with excess electricity under the weather type is greater than a preset threshold for the proportion of days with excess electricity, for example, greater than 0.8, then the interaction type between the park and the grid-side electricity under the weather type is determined to be a restricted interaction type.

[0071] Additionally, it can be understood that if the proportion of days with excess electricity under the weather type is not greater than a preset date proportion threshold, and the proportion of days with restricted interaction type weather type is greater than the preset threshold in the most recent preset period, for example, the proportion of days with restricted interaction type weather type weather type is greater than 0.5 in the most recent 3 months, then the interaction type between the park and the grid-side electricity under the weather type is determined to be a restricted interaction type.

[0072] Specifically, the method for determining the update identification scheme of the load dispatching strategy under the aforementioned weather type is as follows: Based on the interaction types under different weather conditions, the weather type that restricts the interaction types is determined; Based on the adjustment and matching of user load in different time periods under the aforementioned weather type, the grid-side power utilization period is determined. Based on the interval data between the grid-side power utilization period and the internet access period, the interval duration between the grid-side power utilization period and the adjacent internet access period is determined. Based on the weather type of the restricted interaction type and the interval between the grid-side power utilization period and the adjacent internet access period under the weather type, determine the update identification scheme of the load dispatching strategy under the weather type when there are changes in the resident enterprises in the park.

[0073] It should be noted that when the constituent data of the weather type with restricted interaction meets the requirements, if the proportion of the number of days with restricted interaction in the weather type within the most recent preset period is greater than a preset threshold, then the update identification scheme of the load scheduling strategy under the weather type is determined based on the load balancing data under the weather type with restricted interaction.

[0074] In one possible embodiment, when the proportion of the restricted interaction type of weather type among all weather types is greater than 0.5, then the load balancing data under the restricted interaction type of weather type is used to determine the update identification scheme of the load scheduling strategy under the weather type.

[0075] In one possible embodiment, when there are changes in the number of resident enterprises within the park and the number of days when the load under the restricted interaction weather type is greater than the load supply within the park does not meet the requirements, for example, more than 4 days, then it is determined that the load scheduling strategy under the restricted interaction weather type needs to be updated and identified.

[0076] Furthermore, when the constituent data of the weather type with restricted interaction does not meet the requirements, or if the proportion of the number of days with restricted interaction in the most recent preset period is not greater than a preset threshold, it is necessary to further determine the interval between the grid-side power utilization period and the adjacent internet access period under the weather type. If, under the weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is less than a preset duration threshold, for example, less than 1 hour, then the power used during the internet access period can meet the load demand of the grid-side power utilization period. Therefore, based on the load balancing data under the weather type with restricted interaction, an update identification scheme for the load scheduling strategy under the weather type with restricted interaction is determined.

[0077] Additionally, it is understood that if, under the aforementioned weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is not less than a preset duration threshold, then whenever there are changes in the companies located within the park, the load scheduling strategy needs to be updated and identified under the aforementioned restricted interaction weather type.

[0078] Optionally, the method for determining the update identification scheme of the load dispatching strategy under the aforementioned weather type is as follows: Based on the interaction types under different weather types, the weather types with restricted interaction types are determined. The supply reliability value of the weather types with restricted interaction types is determined according to the proportion of the number of weather types with restricted interaction types among all weather types and the proportion of the number of days with restricted interaction types in the most recent preset period. Based on the adjustment and matching of user load in different time periods under the aforementioned weather type, the grid-side power utilization period is determined. Based on the interval data between the grid-side power utilization period and the internet access period, the interval duration between the grid-side power utilization period and the adjacent internet access period is determined. Based on the supply reliability value and the interval between the grid-side power utilization period and the adjacent grid connection period under the weather type, an update identification scheme for the load dispatching strategy under the weather type is determined when there are changes in the resident enterprises within the park.

[0079] It is understood that the supply reliability value is determined based on the average of the proportion of weather types with restricted interaction types among all weather types and the proportion of the number of days with restricted interaction types in the most recent preset period.

[0080] In one possible embodiment, when the supply reliability value is greater than a preset reliability threshold, an update identification scheme for the load scheduling strategy under the weather type is determined based on the load balancing data under the weather type with restricted interaction.

[0081] Furthermore, when the supply reliability value is not greater than the preset reliability threshold, it is also necessary to further determine the interval between the grid-side power utilization period and the adjacent internet access period under the weather type. If, under the weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is less than the preset duration threshold, for example, less than 1 hour, then the power used during the internet access period can meet the load demand of the grid-side power utilization period. Therefore, based on the load balancing data under the weather type with restricted interaction, the update identification scheme of the load scheduling strategy under the weather type with restricted interaction is determined.

[0082] Additionally, it is understood that if, under the aforementioned weather type, the average interval between the grid-side power utilization period and the adjacent internet access period on different dates is not less than a preset duration threshold, then whenever there are changes in the companies located within the park, the load scheduling strategy needs to be updated and identified under the aforementioned restricted interaction weather type.

[0083] Furthermore, the method for determining the update processing scheme of the load dispatching strategy under the aforementioned weather type is as follows: Based on the aforementioned update identification scheme, the weather types that require update identification processing of load scheduling strategies are determined and used as the identified weather types; Based on the overlap and deviation between the load data of the newly registered enterprises and their internet access times, the load percentage of the newly registered enterprises during the internet access times is determined. Based on the load percentage of the newly registered enterprises during their online hours and the identified weather type data, an update processing scheme for the load scheduling strategy is determined.

[0084] It is understandable that when the number of identified weather types is greater than a preset threshold, for example, more than two, then the number of weather types that need to be updated for load scheduling strategy is large. Therefore, load scheduling strategy updates are performed under different weather types, that is, the interaction type between different weather types and grid-side power is redefined.

[0085] Additionally, it can be understood that when the number of identified weather types is not greater than a preset threshold, if the number of days under the identified weather type where the load is greater than the load supply within the park is greater than a preset threshold (e.g., if the number of days in the most recent month where the load is greater than the load supply within the park is greater than 5 days), then the load scheduling strategy will be updated under the identified weather type, and the interaction type with the grid-side power supply under the identified weather type will be determined.

[0086] Furthermore, when the number of days under the identified weather type where the load is greater than the load supply within the park is not greater than a preset threshold number of days, the load percentage of the newly established enterprise during its internet access period is determined, i.e., the load percentage of the newly established enterprise during its internet access period on different days under the identified weather type. If the average load percentage of the internet access period on different days under the identified weather type is less than a preset load percentage threshold, for example, less than 0.3, then the load scheduling strategy is updated under the identified weather type, and the interaction type with the grid-side power supply under the identified weather type is determined.

[0087] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described load scheduling processing method for a zero-carbon industrial park when running the computer program.

[0088] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0089] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0090] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A load scheduling processing method for a zero-carbon park, characterized by, Specifically comprising: With the power generation data of the distributed energy system inside the park, the on-grid power data under different weather types is determined, and when the on-grid power data under different weather types meets the requirements, the determination of the interaction type of the park inside with the grid side power under different weather types is carried out according to the on-grid power data under different weather types; Based on the interaction type under different weather types, the adjustment matching situation of user load in different time periods and the interval period data of the on-grid period, the update identification scheme of the load scheduling strategy under the weather type is determined when the registered enterprises inside the park change, and based on the update identification scheme and the coincidence deviation situation of the load data of the newly registered enterprise and the on-grid period, the update processing scheme of the load scheduling strategy under different weather types is determined.

2. The load scheduling process for zero-carbon park according to claim 1, wherein, The weather type is divided according to the temperature data and wind speed data of the date. 3.The load scheduling processing method for zero-carbon park zone of claim 1, wherein, The on-grid power data includes on-grid power in different time periods under the weather type.

4. The load scheduling process for zero-carbon park according to claim 1, wherein, Determination of on-grid power data under different weather types meeting the requirements, specifically comprising: With the on-grid power data in different time periods under the weather type, the on-grid power in different time periods under the weather type is carried out; According to the on-grid power in different time periods, the total on-grid power of different dates under the weather type is determined; Based on the total on-grid power of different dates under different weather types and the grid side utilization power, it is determined whether the on-grid power data under different weather types meets the requirements.

5. The load scheduling process for zero-carbon park according to claim 4, wherein, The grid side utilization power is determined according to the power obtained from the power grid under the weather type.

6. The load scheduling process for zero-carbon park according to claim 1, wherein, Based on the total on-grid power of different dates under different weather types and the grid side utilization power, it is determined whether the on-grid power data under different weather types meets the requirements, specifically comprising: Based on the grid side utilization power of different dates under different weather types, it is determined that the average value of the grid side utilization power of different dates is less than the preset power threshold value, and then it is determined that the on-grid power data under different weather types does not meet the requirements.

7. The load scheduling process for zero-carbon park according to claim 1, wherein, The method for determining the interaction type of the park inside with the grid side power under different weather types is: Based on the on-grid power data under the weather type, the on-grid power in different time periods under the weather type is determined; According to the on-grid power in different time periods and the grid side utilization power, the on-grid period and the grid side energy utilization period under the weather type are determined; Based on the distribution data of the on-grid period and the grid side energy utilization period under different weather types, the interaction type of the park inside with the grid side power under the weather type is determined. 8.The load scheduling processing method for zero-carbon park zone of claim 7, wherein, When the difference between the on-grid power and the grid side utilization power in different dates under the weather type is greater than the preset power threshold value, it is determined that the interaction type of the park inside with the grid side power under the weather type is the limited interaction type. 9.The load scheduling processing method for zero-carbon park of claim 1, wherein, The method for determining the update processing scheme of the load scheduling strategy under the weather type is: Based on the update identification scheme, the weather type that needs to carry out the update identification processing of the load scheduling strategy is determined, and it is taken as the identification weather type; According to the coincidence deviation of the load data of the newly-registered enterprise and the online period, a load amount proportion of the newly-registered enterprise in the online period is determined; Based on the load amount proportion of the newly-registered enterprise in the online period and the identified weather type data, an update processing scheme of the load scheduling strategy is determined.

10. A computer system comprising: The memory and the processor connected in communication, and the computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to perform the load scheduling processing method for the zero-carbon park according to any one of claims 1-9.

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