Power supply strategy adjustment method and system based on one graph of power grid

Abstract

The invention provides a power supply strategy adjustment method and system based on a power grid graph, and belongs to the technical field of power systems, and the method specifically comprises the steps: determining that the residual energy storage adjustment space of an energy storage device of a power distribution area cannot meet the requirements according to the deviation condition of a monitoring node of the power distribution area in a reference date of a current date, and carrying out the adjustment of the residual energy storage adjustment space; the method comprises the following steps: determining calling use data of a monitoring node of a power grid graph in a distribution transformer area in different business types, and determining associated business types of different monitoring nodes according to the calling use data; when it is determined that the recognition processing efficiency of the voltage deviation state in the power distribution area meets the requirement, the power supply processing strategy of the power distribution area is determined on the basis of the recognition result of the voltage deviation condition of the monitoring node of the power distribution area, and the adjustment processing efficiency of the voltage deviation node is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a method and system for adjusting a power supply strategy based on a power grid map. Background Art

[0002] During the power supply process, changes in user load or the output of distributed energy systems often cause deviations in voltage nodes in distribution stations, making it difficult to meet the power reliability needs of power users.

[0003] Using a power grid map allows dispatchers to quickly identify abnormal voltage nodes, thereby quickly processing abnormal voltage nodes in distribution stations. Specifically, in the invention patent application CN202411541640.3 "A method and system for dynamically adjusting power supply strategy of power grid based on graph calculation", the current power supply strategy is adjusted according to the shortest power transmission path, and the power grid is controlled to execute the adjusted power supply strategy, thereby improving the overall performance and stability of the power grid. However, there are the following technical problems: Due to the differences in the busyness of service call processing in the power grid diagram, there are certain differences in the efficiency of operators in identifying and processing abnormal voltage conditions in distribution substations using the power grid diagram. Therefore, how to use the busyness of service call processing in the power grid diagram to generate a power supply strategy for abnormal voltage node regulation using the energy storage system in the distribution substation and improve the real-time regulation response of the energy storage system has become a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a method and system for adjusting a power supply strategy based on a power grid map. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a method for adjusting a power supply strategy based on a power grid map, specifically comprising: S1 determines that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirements based on the deviation of the monitoring node in the distribution station area on the reference date of the current date, and then proceeds to the next step; S2 determines the call usage data of the monitoring nodes of a power grid diagram in the distribution substation area in different business types, and determines the associated business types of different monitoring nodes based on the call usage data; S3 determines the frequent screening period in the reference date based on the historical call data of service calls of different associated business types under the reference date of the current date, determines the data of different time periods identified as frequent screening periods in the reference date, and combines the historical call data of service calls of associated business types by the operation management personnel in different time periods on the reference date, and determines that the recognition and processing efficiency of the voltage deviation state in the distribution station area meets the requirements, and then proceeds to the next step; S4 determines the power supply processing strategy of the distribution substation based on the identification result of the voltage deviation of the monitoring node of the distribution substation.

[0006] The beneficial effects of the present invention are: Based on the deviation of the monitoring nodes in the distribution substation on the reference date of the current date, it is determined whether the remaining energy storage adjustment space of the energy storage device in the distribution substation meets the requirements, thereby realizing the determination of the energy storage capacity demand of the energy storage device on the current date based on the difference in the deviation of the monitoring nodes in the distribution substation on the reference date of the current date, and also laying the foundation for generating differentiated power supply processing strategies for energy storage systems in distribution substations based on the difference in whether the remaining energy storage adjustment space meets the energy storage capacity demand.

[0007] The power supply processing strategy of the distribution station area is determined based on the identification results of the voltage deviation conditions of the monitoring nodes in the distribution station area. This not only avoids the technical problem of insufficient availability of the energy storage device caused by the frequent commissioning of the energy storage device, but also realizes the determination of the power supply processing strategy of the distribution station area from the perspective of the adjustment requirements of the voltage deviation conditions of the monitoring nodes by further combining the identification results of the voltage deviation conditions of the monitoring nodes, thereby ensuring the voltage operation reliability and stability of the distribution station area.

[0008] A further technical solution is that the reference date is a historical date whose deviations from the weather data of the current date in different dimensions are all within a preset deviation range.

[0009] A further technical solution is that the monitoring node is a distribution network node having a voltage monitoring device in the distribution station area.

[0010] A further technical solution is that the deviation condition of the monitoring node includes the number of voltage deviations of the monitoring node on different reference dates.

[0011] A further technical solution is to determine that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirements, specifically including: Based on the deviation of the monitoring nodes on different reference dates, determine the time periods with voltage deviation on different reference dates, and use them as the voltage deviation time periods; Determine the energy storage regulation capacity when the voltage deviation period reaches the voltage equilibrium state according to the regulation data of the energy storage device in the different voltage deviation period; Based on the energy storage regulation capacity and the remaining energy storage regulation space, the number of voltage deviation time periods in which the energy storage regulation capacity is greater than the remaining energy storage regulation space is determined and used as the capacity deviation time period. According to the number of capacity deviation time periods, it is determined whether the remaining energy storage regulation space of the energy storage device in the distribution station area meets the requirements.

[0012] A further technical solution is that, when the number of the capacity deviation time periods is greater than a preset capacity deviation time period number threshold, it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area does not meet the requirements.

[0013] A further technical solution is that when the remaining energy storage adjustment space of the energy storage device in the distribution station area meets the requirements, when there is a monitoring node with a voltage deviation, the energy storage device in the distribution station area is directly put into use.

[0014] A further technical solution is that the method for determining the associated service type of the monitoring node is: Determine the call usage times of the monitoring point under different service types and the call usage durations of different call usage times based on the call usage data of the monitoring node under different service types; Using the call usage time, determine the number of call usages whose call usage time is greater than a preset usage time threshold, and use it as the matching call usage number; Determine whether the service type belongs to the associated service type of the monitoring node according to the number of matching call usages of the service type.

[0015] A further technical solution is that when the number of matching call usages of the service type is greater than a preset matching usage threshold, it is determined that the service type belongs to an associated service type of the monitoring node.

[0016] A further technical solution is that the method for determining the power supply processing strategy of the distribution station area is: Determine the voltage data of different monitoring nodes at different times within a preset time period based on the identification result of the voltage deviation of the monitoring nodes in the distribution station area; Determine the deviation of the voltage data of the monitoring nodes at different times in different voltage deviation periods according to the voltage data of different monitoring nodes at different times, determine the similar times in the voltage deviation period based on the deviation, and take the voltage deviation period in which the number of similar times accounts for a greater proportion than the preset number of similar times as a reference deviation period; Based on the reference deviation periods at different times and the energy storage regulation capacities in the different reference deviation periods, the energy storage regulation capacities at different times are determined, and the power supply processing strategy of the distribution station area is determined according to the energy storage regulation capacities at different times.

[0017] A further technical solution is that the similar moments are moments when the deviations of the voltage data of the monitoring nodes in the voltage deviation period are all within a preset deviation range.

[0018] A further technical solution is to determine the power supply processing strategy of the distribution station area according to the energy storage adjustment capacity at different times, specifically including: When the proportion of the number of moments when the energy storage regulation capacity is not less than the preset regulation capacity threshold within the preset time period is not greater than the preset time quantity proportion threshold, it is determined that the power supply processing strategy of the distribution station area is not to put the energy storage device into use; When the proportion of the number of moments when the energy storage regulation capacity is not less than the preset regulation capacity threshold within the preset time period is greater than the preset time proportion threshold, it is determined that the power supply processing strategy of the distribution station area is to invest in the energy storage device.

[0019] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned power supply strategy adjustment method based on a single map of the power grid when running the computer program.

[0020] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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.

[0023] Figure 1 It is a flow chart of a method for adjusting a power supply strategy based on a diagram of a power grid; Figure 2 It is a flow chart to determine that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirements; Figure 3 is a flow chart of a method for determining an associated service type of a monitoring node; Figure 4It is a flow chart of a method for determining a power supply processing strategy for a distribution station area; Figure 5 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0024] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms 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.

[0025] 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.

[0026] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a power supply strategy adjustment method based on a power grid map is provided, which specifically includes: S1 determines that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirements based on the deviation of the monitoring node in the distribution station area on the reference date of the current date, and then proceeds to the next step; S2 determines the call usage data of the monitoring nodes of a power grid diagram in the distribution substation area in different business types, and determines the associated business types of different monitoring nodes based on the call usage data; S3 determines the frequent screening period in the reference date based on the historical call data of service calls of different associated business types under the reference date of the current date, determines the data of different time periods identified as frequent screening periods in the reference date, and combines the historical call data of service calls of associated business types by the operation management personnel in different time periods on the reference date, and determines that the recognition and processing efficiency of the voltage deviation state in the distribution station area meets the requirements, and then proceeds to the next step; S4 determines the power supply processing strategy of the distribution substation based on the identification result of the voltage deviation of the monitoring node of the distribution substation.

[0027] Furthermore, the reference date is a historical date whose deviations from the weather data of the current date in different dimensions are all within a preset deviation range.

[0028] Specifically, the reference date is a historical date whose deviations from the weather data of the current date in different dimensions are all within a preset deviation range.

[0029] It should be noted that the monitoring node is a distribution network node in the distribution station area where a voltage monitoring device exists.

[0030] It can be understood that the deviation condition of the monitoring node includes the number of voltage deviations of the monitoring node on different reference dates.

[0031] Specifically, Figure 2 As shown, it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirements, specifically including: Based on the deviation of the monitoring nodes on different reference dates, determine the time periods with voltage deviation on different reference dates, and use them as the voltage deviation time periods; Determine the energy storage regulation capacity when the voltage deviation period reaches the voltage equilibrium state according to the regulation data of the energy storage device in the different voltage deviation period; Based on the energy storage regulation capacity and the remaining energy storage regulation space, the number of voltage deviation time periods in which the energy storage regulation capacity is greater than the remaining energy storage regulation space is determined and used as the capacity deviation time period. According to the number of capacity deviation time periods, it is determined whether the remaining energy storage regulation space of the energy storage device in the distribution station area meets the requirements.

[0032] Further, when the number of the capacity deviation time periods is greater than a preset capacity deviation time period number threshold, it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area does not meet the requirements.

[0033] It is understandable that when the remaining energy storage adjustment space of the energy storage device in the distribution station area meets the requirements, when there is a monitoring node with a voltage deviation, the energy storage device in the distribution station area is directly put into use.

[0034] In another possible embodiment, determining that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirement specifically includes: Based on the deviation of the monitoring nodes on different reference dates, determine the time periods with voltage deviation on different reference dates, and use them as voltage deviation time periods. When the proportion of the number of reference dates with voltage deviation time periods is less than the proportion of the number of preset reference dates, it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area meets the requirements; When the proportion of reference dates with voltage deviation periods is not less than the proportion of preset reference dates: According to the regulation data of the energy storage device in different voltage deviation periods, the energy storage regulation capacity when the voltage equilibrium state is reached in different voltage deviation periods is determined; based on the energy storage regulation capacity and the remaining energy storage regulation space, when it is determined that there is no voltage deviation period in which the energy storage regulation capacity is greater than the remaining energy storage regulation space, it is determined that the remaining energy storage regulation space of the energy storage device in the distribution station area meets the requirements; When it is determined that there is a voltage deviation period in which the energy storage regulation capacity is greater than the remaining energy storage regulation space based on the energy storage regulation capacity and the remaining energy storage regulation space: The voltage deviation period in which the energy storage regulation capacity is greater than the remaining energy storage regulation space is taken as the capacity deviation period, and when the number of the capacity deviation periods does not meet the requirement, it is determined that the remaining energy storage regulation space of the energy storage device in the distribution station area does not meet the requirement; When the number of capacity deviation periods meets the requirement: Obtaining the number ratio of reference dates in which there is a capacity deviation period, and when the number ratio of reference dates in which there is a capacity deviation period is greater than a preset value of the reference date ratio, determining that the remaining energy storage adjustment space of the energy storage device in the distribution station area does not meet the requirements; When the proportion of reference dates in the capacity deviation period is not greater than the preset value of the reference date proportion: Determine the energy storage adjustment deviation coefficients for different reference dates according to the number of capacity deviation periods in different reference dates and the deviations between the energy storage adjustment capacity in different capacity deviation periods and the remaining energy storage adjustment space; when there is a reference date where the energy storage adjustment deviation coefficient does not meet the requirements, determine that the remaining energy storage adjustment space of the energy storage device in the distribution station area does not meet the requirements; When there is no reference date on which the energy storage regulation deviation coefficient does not meet the requirements: The capacity deviation value of the distribution substation is determined by using the energy storage adjustment deviation coefficients of different reference dates, and the capacity deviation value is used to determine whether the remaining energy storage adjustment space of the energy storage device in the distribution substation meets the requirements.

[0035] Further, when the capacity deviation value is greater than a preset capacity deviation threshold, it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area does not meet the requirements.

[0036] Specifically, the business types include marketing, scheduling, and operation and maintenance.

[0037] It should be noted that the call usage data includes the call usage times of the monitoring point under different business types and the call usage durations of different call usage times.

[0038] Specifically, Figure 3As shown, the method for determining the associated service type of the monitoring node is: Determine the call usage times of the monitoring point under different service types and the call usage durations of different call usage times based on the call usage data of the monitoring node under different service types; Using the call usage time, determine the number of call usages whose call usage time is greater than a preset usage time threshold, and use it as the matching call usage number; Determine whether the service type belongs to the associated service type of the monitoring node according to the number of matching call usages of the service type.

[0039] Further, when the number of matching call usages of the service type is greater than a preset matching usage threshold, it is determined that the service type belongs to an associated service type of the monitoring node.

[0040] Specifically, the dimensions of the weather data include rainfall, temperature, humidity and wind speed.

[0041] It should be noted that the call demand includes the call demand when the operation state of the power grid changes and the call demand when a failure occurs in the power grid.

[0042] It can be understood that the historical call data includes the historical call times of service calls under different associated business types and the corresponding times of different historical call times.

[0043] It should be noted that the method for determining the frequent screening period in the reference date is: Determine the number of historical call times of service calls under different associated business types by using the historical call data of service calls under different associated business types in the time period under the reference date; Determine the total number of historical calls in the time period according to the number of historical calls of the service calls under different associated business types; Whether the time period is a frequent screening time period is determined based on the total number of historical calls.

[0044] It can be understood that when the total number of historical calls in the time period is greater than the preset call number threshold, the time period is indeed a frequent screening time period.

[0045] In another possible embodiment, the method for determining the frequent screening period in the reference date is: Determine the number of historical call times of service calls under different associated business types based on the historical call data of service calls under different associated business types in the period on the reference date, and determine the total number of historical calls in the period based on the number of historical call times of service calls under different associated business types; When the total number of historical calls in the time period is greater than a preset call number threshold, it is determined that the time period belongs to a frequent screening time period in the reference date; When the total number of historical calls in the time period is not greater than the preset call count threshold: When the total number of historical calls in the time period is within a preset call number range, it is determined that the time period does not belong to a frequently screened time period on the reference date; When the total number of historical calls in the period is not within the preset call number range: Based on the time period and the unit duration, the time period is divided into a plurality of unit time periods, and when it is determined that there is no frequently called unit time period in the unit time period based on the historical call times of service calls in different unit time periods, it is determined that the time period does not belong to the frequently screened time period in the reference date; When there are frequently called unit time periods in the unit time period: Acquire the number of frequently called unit time periods in the time period, and when the number of frequently called unit time periods in the time period is greater than the preset number of unit time periods, determine that the time period belongs to the frequently screened time period in the reference date; When the number of frequently called unit time periods in the time period is not greater than the preset number of unit time periods: Determine the call busy coefficients of different unit time periods according to the historical call times of service calls in different unit time periods and the time intervals between different historical call times. When the average values ​​of the call frequent coefficients of different unit time periods do not meet the requirements, determine that the time period belongs to the screening frequent time period in the reference date. When the average value of the call frequency coefficient in different unit time periods meets the requirements: The comprehensive call frequency coefficient of the time period is determined according to the product of the average value of the call frequency coefficients of different unit time periods and the proportion of the number of unit time periods whose call frequency coefficients are greater than the preset frequency coefficient threshold, and the comprehensive call frequency coefficient is used to determine whether the time period is a screening frequent time period.

[0046] It should be noted that the value range of the comprehensive call frequency coefficient is between 0 and 1, wherein when the comprehensive call frequency coefficient of the time period is greater than the preset frequency coefficient threshold, the time period is determined to be a screening frequent time period.

[0047] Furthermore, the data identified as the frequent screening time period includes the number of reference dates of the time period identified as the frequent screening time period among different reference dates.

[0048] It can be understood that the identification and processing efficiency of determining the voltage deviation state in the distribution station area meets the requirements, specifically including: Based on the data that the time period is identified as a frequent screening time period in the reference date, determine the number of reference dates identified as frequent screening time periods in the time period, and determine the frequent service screening time period in the time period according to the number of reference dates identified as frequent screening time periods; Determine the average number of historical calls during the frequent service screening period on each reference date through historical call data of service calls by operation managers under different associated business types during the frequent service screening period on different reference dates; By filtering frequent service periods at different times, the sum of the average values ​​of the number of historical calls on various reference dates is used to determine whether the efficiency of identifying and processing the voltage deviation state in the distribution substation area meets the requirements.

[0049] Furthermore, the service screening frequent period is a period in which the number of reference dates identified as the screening frequent period is within a preset date number range.

[0050] It should be noted that, by filtering frequent service periods at different times, the sum of the average values ​​of the number of historical calls on each reference date is used to determine whether the efficiency of identifying and processing the voltage deviation state in the distribution substation area meets the requirements, specifically including: When the sum of the average values ​​of the historical call times in different service screening frequent periods on various reference dates is greater than the preset times threshold, it is determined that the recognition processing efficiency of the voltage deviation state in the distribution station area cannot meet the requirements.

[0051] Specifically, when the recognition and processing efficiency of the voltage deviation state in the power distribution station area cannot meet the requirements, when there is a monitoring node with voltage deviation, the energy storage device of the power distribution station area is directly put into use.

[0052] In another possible embodiment, determining that the recognition processing efficiency of the voltage deviation state in the distribution station area meets the requirement specifically includes: Based on the historical call data of the service calls of the operation management personnel on different reference dates, the total number of historical call of the service calls of the operation management personnel on different reference dates is determined, and when the average value of the total number of historical call of the service calls of the operation management personnel on different reference dates does not meet the requirement, it is determined that the recognition processing efficiency of the voltage deviation state in the distribution substation area cannot meet the requirement; When the average of the total number of historical service calls by the operation manager on different reference dates meets the requirements: The reference date when the total number of historical service calls by the operation management personnel is greater than the limit value of the number of calls is used as the frequent call date. When the proportion of the number of frequent call dates in the reference date is greater than the proportion of the number of preset dates, it is determined that the recognition and processing efficiency of the voltage deviation state in the distribution station area cannot meet the requirements; When the proportion of frequently called dates in the reference date is not greater than the proportion of preset dates: When it is determined that there is no time period that is not identified as a frequent screening time period based on the data of the time period identified as a frequent screening time period in the reference date, it is determined that the recognition processing efficiency of the voltage deviation state in the distribution station area cannot meet the requirements; When there is a time period that is not identified as a frequent screening time period: Determine the number of reference dates identified as frequent screening periods in the time period, and determine the service frequent screening period in the time period according to the number of reference dates identified as frequent screening periods, and when the number of the service frequent screening periods does not meet the requirement, determine that the recognition and processing efficiency of the voltage deviation state in the distribution station area cannot meet the requirement; When the number of frequent service screening periods meets the requirement: Determine the average number of historical calls during the frequent service screening period on each reference date through historical call data of service calls by operation managers under different associated business types during the frequent service screening period on different reference dates; By filtering frequent service periods at different times, the sum of the average values ​​of the number of historical calls on various reference dates is used to determine whether the efficiency of identifying and processing the voltage deviation state in the distribution substation area meets the requirements.

[0053] Further, such as Figure 4 As shown, the method for determining the power supply processing strategy of the distribution station area is: Determine the voltage data of different monitoring nodes at different times within a preset time period based on the identification result of the voltage deviation of the monitoring nodes in the distribution station area; Determine the deviation of the voltage data of the monitoring nodes at different times in different voltage deviation periods according to the voltage data of different monitoring nodes at different times, determine the similar times in the voltage deviation period based on the deviation, and take the voltage deviation period in which the number of similar times accounts for a greater proportion than the preset number of similar times as a reference deviation period; Based on the reference deviation periods at different times and the energy storage regulation capacities in the different reference deviation periods, the energy storage regulation capacities at different times are determined, and the power supply processing strategy of the distribution station area is determined according to the energy storage regulation capacities at different times.

[0054] Furthermore, the similar moments are moments at which the deviations of the voltage data of the monitoring nodes in the voltage deviation period are all within a preset deviation range.

[0055] It should be noted that the power supply processing strategy of the distribution station area is determined according to the energy storage adjustment capacity at different times, specifically including: When the proportion of the number of moments when the energy storage regulation capacity is not less than the preset regulation capacity threshold within the preset time period is not greater than the preset time quantity proportion threshold, it is determined that the power supply processing strategy of the distribution station area is not to put the energy storage device into use; When the proportion of the number of moments when the energy storage regulation capacity is not less than the preset regulation capacity threshold within the preset time period is greater than the preset time proportion threshold, it is determined that the power supply processing strategy of the distribution station area is to invest in the energy storage device.

[0056] Example 2 Second, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned power supply strategy adjustment method based on a single map of the power grid when running the computer program.

[0057] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0058] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0059] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for adjusting power supply strategy based on a power grid map, characterized in that: Specifically include: When it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution substation area cannot meet the requirements based on the deviation of the monitoring node in the distribution substation area on the reference date of the current date, proceed to the next step; Determine the call usage data of different business types of the monitoring nodes of a power grid diagram in the distribution substation area, and determine the associated business types of different monitoring nodes based on the call usage data; Based on the historical call data of service calls of different associated business types on the reference date of the current date, determine the frequent screening period on the reference date, determine the data of different time periods identified as frequent screening periods on the reference date, and combine the historical call data of service calls of associated business types by the operation management personnel in different time periods on the reference date, and determine that the recognition and processing efficiency of the voltage deviation state in the distribution station area meets the requirements, then proceed to the next step; The power supply processing strategy of the distribution substation is determined based on the identification result of the voltage deviation of the monitoring node of the distribution substation.

2. The power supply strategy adjustment method based on a power grid one map according to claim 1, characterized in that: The reference date is a historical date whose deviations from the weather data of the current date in different dimensions are within a preset deviation range.

3. The power supply strategy adjustment method based on a power grid one map according to claim 1, characterized in that: The deviation condition of the monitoring node includes the number of voltage deviations of the monitoring node on different reference dates.

4. The power supply strategy adjustment method based on a power grid one map according to claim 1, characterized in that: It is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area cannot meet the requirements, including: Based on the deviation of the monitoring nodes on different reference dates, determine the time periods with voltage deviation on different reference dates, and use them as the voltage deviation time periods; Determine the energy storage regulation capacity when the voltage deviation period reaches the voltage equilibrium state according to the regulation data of the energy storage device in the different voltage deviation period; Based on the energy storage regulation capacity and the remaining energy storage regulation space, the number of voltage deviation time periods in which the energy storage regulation capacity is greater than the remaining energy storage regulation space is determined and used as the capacity deviation time period. According to the number of capacity deviation time periods, it is determined whether the remaining energy storage regulation space of the energy storage device in the distribution station area meets the requirements.

5. The power supply strategy adjustment method based on a power grid one map as claimed in claim 4, characterized in that: When the number of the capacity deviation time periods is greater than a preset capacity deviation time period number threshold, it is determined that the remaining energy storage adjustment space of the energy storage device in the distribution station area does not meet the requirements.

6. The power supply strategy adjustment method based on a power grid one map according to claim 1, characterized in that: When the remaining energy storage adjustment space of the energy storage device in the distribution station area meets the requirements, when there is a monitoring node with a voltage deviation, the energy storage device in the distribution station area is directly put into use.

7. The power supply strategy adjustment method based on a power grid one map according to claim 1, characterized in that: The method for determining the power supply processing strategy of the distribution station area is: Determine the voltage data of different monitoring nodes at different times within a preset time period based on the identification result of the voltage deviation of the monitoring nodes in the distribution station area; Determine the deviation of the voltage data of the monitoring nodes at different times in different voltage deviation periods according to the voltage data of different monitoring nodes at different times, determine the similar times in the voltage deviation period based on the deviation, and take the voltage deviation period in which the number of similar times accounts for a greater proportion than the preset number of similar times as a reference deviation period; Based on the reference deviation periods at different times and the energy storage regulation capacities in the different reference deviation periods, the energy storage regulation capacities at different times are determined, and the power supply processing strategy of the distribution station area is determined according to the energy storage regulation capacities at different times.

8. The power supply strategy adjustment method based on a power grid one map according to claim 7, characterized in that: The similar time is a time when the deviations of the voltage data of the monitoring node in the voltage deviation period are all within a preset deviation range.

9. The power supply strategy adjustment method based on a power grid one map according to claim 7, characterized in that: The power supply processing strategy of the distribution substation area is determined according to the energy storage regulation capacity at different times, specifically including: When the proportion of the number of moments when the energy storage regulation capacity is not less than the preset regulation capacity threshold within the preset time period is not greater than the preset time quantity proportion threshold, it is determined that the power supply processing strategy of the distribution station area is not to put the energy storage device into use; When the proportion of the number of moments when the energy storage regulation capacity is not less than the preset regulation capacity threshold within the preset time period is greater than the preset time proportion threshold, it is determined that the power supply processing strategy of the distribution station area is to invest in the energy storage device.

10. A computer system comprising: A memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the power supply strategy adjustment method based on a single map of the power grid as described in any one of claims 1-9 when running the computer program.

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