Real-time calculation method for power grid operation section control limit

Abstract

The invention discloses a real-time calculation method for a power grid operation section control limit, and relates to the technical field of power grid section limit calculation. Comprising; information of monitoring equipment installed on a target line is obtained, target equipment items are obtained, position information of the target equipment items is marked, a position mark set is obtained, and the position mark set at least comprises the position of one target equipment item; and based on the position mark set, deploying the edge calculation module through a deployment method to obtain at least one edge module item. According to the invention, the position information of the intelligent electric meter, the monitoring sensor and other equipment installed on the target line is obtained, the target line is divided into areas based on the position information, and then the edge calculation modules are deployed according to different areas, so that the effect that the edge calculation modules calculate the independent control limits in different areas is realized; and the response speed is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid section limit calculation, and particularly to a real-time calculation method for the control limit of a power grid operation section. Background Technique

[0002] Section control in power grid operation refers to a technical means of ensuring the operation within the safe and stable limit by real-time monitoring and dynamic adjustment of the power flow of the transmission section. The transmission section is a power transmission channel composed of several lines and transformers, connecting the power source center and the load center, and is a key path for power transmission in the power grid. Its stable limit reflects the maximum safe power transmission capacity of the channel. The real-time calculation method for the section control limit refers to dynamically monitoring the power flow of a specific section of the power grid, such as a transmission line, a substation, or a region, and calculating the corresponding control limit in real time by using modern technical means such as data acquisition, monitoring, and calculation analysis during power grid operation.

[0003] A real-time calculation method for the control limit of a power grid operation section with the patent publication number CN119627838A. Selecting a transmission channel with a remaining capacity greater than the transmission capacity as the transmission channel for establishing a model and transmitting it to the cache space can transmit data more efficiently, effectively improving data transmission efficiency and data transmission stability. Selecting the transmission channel with the strongest signal can further improve the transmission speed of the established model and reduce the problem of channel congestion during transmission.

[0004] For the above and similar technical solutions, since the conventional method is to install smart meters, monitoring sensors, and other devices on transmission lines, substations, and load centers to obtain data such as current, voltage, power, load, and device status in real time, and transmit the collected data to the central control system or power dispatching center through the system for unified processing by the power dispatching center. However, cloud centralized calculation is difficult to meet the millisecond-level response requirement, and there are certain differences in the actual situations of different regions. Therefore, it is impossible to use the situations of different regions as relevant standards for actual limit calculation. Summary of the Invention

[0005] The purpose of the present invention is to provide a real-time calculation method for the control limit of a power grid operation section to solve the problems mentioned in the above background technique.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A real-time calculation method for the control limit of a power grid operation section, including: Obtain the monitoring device information installed on the target line to obtain the target device items, mark the position information of the target device items to obtain the position marking set, and the position marking set includes at least the position of one target device item; Based on the position marking set, deploy the edge computing module through the deployment method to obtain at least one edge module item; Set up a cloud module based on the starting point position of the target line. The edge module item is connected to the cloud module. The edge module item analyzes and processes the load obtained from the target device item within the divided range item, calculates and controls the limit according to the actual load fluctuation, obtains the limit calculation value, and feeds back the limit calculation value to the cloud module; The cloud module stores the limit calculation value in comparison with the edge module item to obtain a storage comparison item. At the same time, the cloud module calculates the average limit based on the storage comparison item to obtain the limit average value, and distributes the limit average value to each edge module item; When there is a target edge module item that needs to analyze and process the load obtained from the target device item, the limit calculation values obtained from the other edge module items are compared and selected by the comparison method, so as to calculate the limit according to the actual situation of the adjacent area.

[0007] Furthermore, the deployment method includes: obtaining the maximum distance between target devices to obtain a distance extreme value item, dividing the target line with the distance extreme value item as the division range to obtain multiple division range items, obtaining the midpoint position information of the division range item, and obtaining the target device item closest to the midpoint position information as the layout feature point.

[0008] Furthermore, the comparison method includes: setting a search range, obtaining the limit calculation values of the other edge module items within the search range to obtain a reference limit set, comparing the reference limit set with the limit average value. When the limit calculation values in the reference limit set are inconsistent, the limit average value is used as the target limit value. When the limit calculation values in the reference limit set are consistent, the limit calculation value is used as the target limit value.

[0009] Furthermore, the comparison method also includes: setting up an environment acquisition module. The environment acquisition module includes a temperature sensor and a humidity sensor. The environment acquisition module is arranged based on the edge module item respectively. The environment information within the target edge module item and the other edge module items is obtained through the environment acquisition module to obtain a real-time environment item and a reference environment item. When the reference environment item corresponding to the limit calculation value in the reference limit set is inconsistent with the real-time environment item, the target limit calculation value is set as the exclusion item to obtain a filtered limit set, and the filtered limit set is compared with the limit average value again. When the limit calculation values in the filtered limit set are inconsistent, the limit average value is used as the target limit value. When the limit calculation values in the filtered limit set are consistent, the limit calculation value is used as the target limit value.

[0010] Further, the monitoring device information includes smart meters and monitoring sensors. The method for obtaining the position marking set includes: obtaining the smart meters and monitoring sensor data on the target line, setting the smart meters and monitoring sensors as marking feature points, obtaining the actual position data of the marking feature points through the target device to obtain the actual position set, using the starting point position of the target line as the starting feature point, creating a distance graph, and respectively marking the position information of the marking feature points on the distance graph to obtain the position marking set.

[0011] Further, the method for obtaining the limit calculation value includes: obtaining the actual load data within the division range item based on the target device item to obtain the real-time load item, setting the initial fluctuation limit value, and obtaining the limit calculation value based on the combined result of the real-time load item and the initial fluctuation limit value.

[0012] Further, the method for obtaining the storage comparison item includes: obtaining the limit calculation value information uploaded by the edge module item, marking the limit calculation value information as the first comparison limit, marking the edge module item as the first comparison module, repeating the steps, and repeatedly marking the limit calculation value information uploaded by the edge module item in the order of sorting.

[0013] Further, the method for obtaining the limit average value includes: setting the maximum range value, dividing the calculation range based on the maximum range value, obtaining the average value of the storage comparison items within the calculation range, and further obtaining at least one limit average value.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This real-time calculation method for the grid operation section control limit divides the target line into regions based on the position information obtained by acquiring the position information of smart meters, monitoring sensors, and other devices installed on the target line, and then deploys edge computing modules for different regions respectively, achieving the effect of separately calculating the control limit for different regions by the edge computing module, with a faster response speed.

[0015] At the same time, taking the separately calculated control limit results in different regions as a comparison, the limit calculation and control results are fed back to the cloud module. The cloud module stores the comparison of the target results with the target edge module items, and at the same time, the cloud module calculates the average limit based on the comparison storage results to obtain the limit average value, and sends the limit average value to each edge module item. When other edge module items need to analyze and process the load obtained for the target device item within the division range item, the limit calculation values obtained by the remaining edge module items are compared and selected with the limit average value through the comparison method, thus achieving the effect of calculating the limit according to the actual situation of the adjacent area. Description of the Drawings

[0016] Figure 1Schematic diagram of the overall process of the present invention; Figure 2 Schematic diagram of the position marking set of the present invention; Figure 3 Schematic diagram of the division range items of the present invention; Figure 4 Schematic diagram of the layout feature points of the present invention. Detailed implementation manners

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0018] Conventional power dispatching relies on devices such as smart meters and monitoring sensors installed on transmission lines, substations, and load centers to collect information such as current, voltage, power, load, and device status in real time. This massive amount of data is transmitted through the system to the central control system or power dispatching center for centralized processing to support the operation, maintenance, and optimization of the power grid. However, this centralized processing architecture based on cloud computing faces severe challenges in meeting real-time requirements and coping with regional differences. The inherent latency of the cloud computing architecture is the key factor that prevents it from meeting the millisecond-level response requirements. The stable operation of the power system has extremely high time requirements, and rapid response and precise control of faults are crucial. For example, the occurrence of a short-circuit fault may cause the system to collapse within milliseconds, and immediate protective measures such as quickly removing the faulty line and adjusting the operation state of the power grid are required. In the centralized processing mode, data needs to go through multiple links of collection, transmission, processing, and execution, and each link may introduce latency. Especially during long-distance data transmission, factors such as network congestion and device failures may cause an increase in latency, making the system unable to respond to emergencies in a timely manner, threatening the safe and stable operation of the power system. In this application, by obtaining the location information of smart meters, monitoring sensors, and other devices installed on the target line, the target line is divided into regions based on the location information, and then edge computing modules are separately deployed according to different regions, achieving the effect of separately calculating control limits for different regions by the edge computing modules, with a faster response speed. And using the separately calculated control limit results in different regions as a comparison, the limit calculation and control results are fed back to the cloud module. The cloud module stores the target results in contrast with the target edge module items. At the same time, the cloud module calculates the average limit based on the contrast storage results to obtain the limit average value, and distributes the limit average value to each edge module item. When other edge module items need to analyze and process the load obtained from the target device items within the divided range items, the limit calculation values obtained from the other edge module items are compared and selected with the limit average value through a comparison method, thus achieving the effect of calculating limits according to the actual situation of adjacent areas.

[0019] As Figure 1 shown, the present invention provides a technical solution: a real-time calculation method for the control limit of the power grid operation section, including steps S100 - S600.

[0020] Step S100: Obtain the monitoring device information installed on the target line to obtain the target device items, and mark the location information of the target device items to obtain the location marking set.

[0021] It should be noted that the position marker set includes at least the positions of one or more target device items. The monitoring device information includes smart meters and monitoring sensors. The method for obtaining the position marker set includes: obtaining the data of smart meters and monitoring sensors on the target line, setting the smart meters and monitoring sensors as marker feature points, obtaining the actual position data of the marker feature points through the target device to obtain the actual position set, using the starting point position of the target line as the starting feature point, creating a distance graph, and respectively marking the position information of the marker feature points on the distance graph to obtain the position marker set.

[0022] Embodiment 1 In the specific implementation process, as Figure 2 shown, the full length of a certain target line is 10 km and it is in a straight state. It is obtained that there are 3 smart meters and 2 monitoring sensors on this target line. The 3 smart meters and 2 monitoring sensors are unevenly and cross - distributed. At this time, the 3 smart meters and 2 monitoring sensors are combined to form the target device item. The 3 smart meters and 2 monitoring sensors are all set as marker feature points, marked as No. 1 - 5 respectively, and their actual position data are obtained. Using the starting point position of the target line as the starting feature point, a distance graph is created. Among them, No. 1 is 1.5 km away from the starting point, No. 2 is 2.5 km away from No. 1, No. 3 is 2.5 km away from No. 2, No. 4 is 1 km away from No. 3, and No. 5 is 1 km away from No. 4. The position information of the marker feature points on the distance graph is respectively marked to obtain the position marker set.

[0023] Step S200: Based on the position marker set, deploy the edge computing module through the deployment method to obtain at least one edge module item.

[0024] It should be noted that the deployment method includes: obtaining the maximum distance between target devices to obtain the distance extreme value item, dividing the target line with the distance extreme value item as the division range to obtain multiple division range items, obtaining the mid - point position information of the division range items, and obtaining the target device item closest to the mid - point position information as the layout feature point.

[0025] Embodiment 2 In the specific implementation process, as Figure 3 - Figure 4As shown in the figure, the total length of a certain target line is 10 km, with 3 smart meters and 2 monitoring sensors. At this time, the 3 smart meters and 2 monitoring sensors are all set as marked feature points, respectively marked as No. 1 - 5. Among them, No. 1 is 1.5 km away from the starting point, No. 2 is 2.5 km away from No. 1, No. 3 is 2.5 km away from No. 2, No. 4 is 1 km away from No. 3, and No. 5 is 1 km away from No. 4. At this time, the maximum distance value is the distance between No. 2 and No. 1, which is 2.5 km, obtaining the distance extreme value item. The target line is divided to obtain four division range items, namely 0 - 2.5 km, 2.5 km - 5 km, 5 km - 7.5 km, and 7.5 km - 10 km. The midpoint position information of the division range items is obtained, and the target device item closest to the distance midpoint position information is obtained as the layout feature point, obtaining four layout feature points, and then obtaining four edge module items.

[0026] Step S300: Set up a cloud module based on the starting point position of the target line. The edge module items are connected to the cloud module. The edge module items analyze and process the load obtained from the target device items within the division range items, perform actual calculations and controls on the quota according to the actual load fluctuations, obtain the quota calculation value, and feedback the quota calculation value to the cloud module.

[0027] It should be noted that the method for obtaining the quota calculation value includes: obtaining the actual load data within the division range items based on the target device items to obtain the real - time load item, setting the initial fluctuation limit value, and the initial fluctuation limit value is 5%. Based on the combined result of the real - time load item and the initial fluctuation limit value, the quota calculation value is obtained.

[0028] Step S400: The cloud module stores the quota calculation value in comparison with the edge module items to obtain the storage comparison item.

[0029] It should be noted that the method for obtaining the storage comparison item includes: obtaining the quota calculation value information uploaded by the edge module items, marking the quota calculation value information as the first comparison quota, marking the edge module items as the first comparison module, repeating the steps, and repeating the marking of the quota calculation value information uploaded by the edge module items in the order of sorting.

[0030] Step S500: The cloud module calculates the average quota based on the storage comparison item to obtain the quota average value, and distributes the quota average value to each edge module item.

[0031] It should be noted that the method for obtaining the quota average value includes: setting the maximum range value, and the maximum range value is 5 km. Based on the maximum range value, the calculation range is divided, and the average value of the storage comparison items within the calculation range is obtained, and then at least one quota average value is obtained.

[0032] Embodiment III In a specific implementation process, the total length of a target line is 10 km. According to the set maximum range value of 5 km, the target line is divided into two calculation ranges, marked as calculation range A and calculation range B respectively. There are three monitoring devices in calculation range A, and the loads obtained are 10 kw, 11 kw, and 12 kw respectively. According to the set initial fluctuation limit value of 5%, the three storage comparison items are 10.5 kw, 11.55 kw, and 12.6 kw respectively. There are two monitoring devices in calculation range B, and the loads obtained are 10 kw and 11 kw respectively. According to the set initial fluctuation limit value of 5%, the two storage comparison items are 10.5 kw and 11.55 kw respectively. At this time, the average values of the storage comparison items in calculation range A and calculation range B are 11.55 kw and 11.025 kw respectively.

[0033] Step S600: When there is a target edge module item that needs to analyze and process the load obtained by the target device item, the limit calculation value obtained by the remaining edge module items is compared and selected with the limit average value through a comparison method.

[0034] It should be noted that the comparison method includes: setting a search range, the search range is 5 km, obtaining the limit calculation values of the remaining edge module items within the search range to obtain a reference limit set, comparing the reference limit set with the limit average value. When the limit calculation values in the reference limit set are inconsistent, the limit average value is used as the target limit value. When the limit calculation values in the reference limit set are consistent, the limit calculation value is used as the target limit value.

[0035] Embodiment 4 In a specific implementation process, the total length of a target line is 10 km, and there are five monitoring devices, numbered 1-5. When No. 3 needs to analyze and process the obtained load, according to the set search range of 5 km, No. 2 and No. 4 are within the range value. And No. 1, No. 2, and No. 3 are in one calculation range, and the issued limit average value is 11.55 kw. No. 4 and No. 5 are in one calculation range, and the issued limit average value is 11.025 kw. The limit calculation values of No. 2 and No. 4 are 11.55 kw and 10 kw respectively, and the two are inconsistent. Therefore, the limit average value is used as the target limit value, that is, the target limit value of No. 3 is 11.55 kw.

[0036] It should be noted that the comparison method further includes: setting an environment acquisition module, the environment acquisition module includes a temperature sensor and a humidity sensor, arranging the environment acquisition module based on the edge module items respectively, obtaining the environment information within the target edge module item and the remaining edge module items through the environment acquisition module, obtaining the real-time environment item and the reference environment item, when the reference environment item corresponding to the quota calculation value in the reference quota set is inconsistent with the real-time environment item, setting the target quota calculation value as the exclusion item, obtaining the screened quota set, and comparing it with the quota average value again. When the quota calculation values in the screened quota set are inconsistent, using the quota average value as the target quota value, and when the quota calculation values in the screened quota set are consistent, using the quota calculation value as the target quota value.

[0037] Specifically, when the reference environment item corresponding to the quota calculation value in the reference quota set is inconsistent with the real-time environment item, it indicates that the environment information within the remaining edge module items is inconsistent with the environment information within the target edge module item. Therefore, it is not used as a reference and is regarded as an exclusion item.

[0038] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. A real-time calculation method for power grid operation section control limit, characterized in that: include; Acquire monitoring equipment information installed on the target line, obtain a target equipment item, mark the location information of the target equipment item, and obtain a location mark set, wherein the location mark set includes at least one location of the target equipment item; Based on the location tag set, deploy the edge computing module through a deployment method to obtain at least one edge module item; A cloud module is set based on the starting point of the target line, and the edge module item is connected to the cloud module. The edge module item analyzes and processes the load obtained by the target device item within the divided range item, performs actual calculation and control of the limit according to the actual load fluctuation, obtains the limit calculation value, and feeds the limit calculation value back to the cloud module; The cloud module compares and stores the limit calculation value with the edge module item to obtain the storage comparison item. At the same time, the cloud module calculates the average limit based on the storage comparison item to obtain the limit mean, and sends the limit mean to each edge module item; When there is a target edge module item that needs to analyze and process the load obtained by the target equipment item, the limit calculation value obtained by the remaining edge module items is compared with the limit average through a comparison method, so as to calculate the limit according to the actual situation of the adjacent area.

2. A real-time calculation method for power grid operation section control limit according to claim 1, characterized in that: The deployment method includes: obtaining the maximum value of the distance between target devices, obtaining a distance extreme value item, dividing the target line with the distance extreme value item as a division range, obtaining multiple division range items, obtaining the midpoint position information of the division range items, and obtaining the target device item closest to the midpoint position information as a layout feature point.

3. The real-time calculation method of the power grid operation section control limit according to claim 1 is characterized by: The comparison method includes: setting a search range, obtaining the limit calculation values ​​of the remaining edge module items within the search range, obtaining a reference limit set, comparing the reference limit set with the limit mean, when the limit calculation values ​​in the reference limit set are inconsistent, using the limit mean as the target limit value, and when the limit calculation values ​​in the reference limit set are consistent, using the limit calculation value as the target limit value.

4. A real-time calculation method for power grid operation section control limit according to claim 3, characterized in that: The comparison method also includes: setting an environment acquisition module, the environment acquisition module includes a temperature sensor and a humidity sensor, arranging the environment acquisition modules based on the edge module items, acquiring the environment information in the target edge module items and the remaining edge module items through the environment acquisition module, obtaining real-time environment items and reference environment items, and when the reference environment item corresponding to the limit calculation value in the reference limit set is inconsistent with the real-time environment item, the target limit calculation value is set as the elimination item to obtain a screening limit set, and re-compared with the limit mean, when the limit calculation values ​​in the screening limit set are inconsistent, the limit mean is used as the target limit value, and when the limit calculation values ​​in the screening limit set are consistent, the limit calculation value is used as the target limit value.

5. The real-time calculation method of the power grid operation section control limit according to claim 1 is characterized by: The monitoring equipment information includes smart meters and monitoring sensors. The method for obtaining the position mark set includes: obtaining the smart meter and monitoring sensor data on the target line, setting the smart meter and the monitoring sensor as marking feature points, obtaining the actual position data of the marking feature points through the target device, obtaining the actual position set, taking the starting point position of the target line as the starting feature point, creating a distance map, and marking the position information of the marking feature points in the distance map to obtain the position mark set.

6. A real-time calculation method for power grid operation section control limit according to claim 1, characterized in that: The method for obtaining the limit calculation value includes: obtaining actual load data within the divided range item based on the target equipment item, obtaining the real-time load item, setting the initial fluctuation limit value, and obtaining the limit calculation value based on the combination result of the real-time load item and the initial fluctuation limit value.

7. A real-time calculation method for power grid operation section control limit according to claim 1, characterized in that: The method for obtaining the stored reference items includes: obtaining the quota calculation value information uploaded by the edge module item, marking the quota calculation value information as the first reference limit, marking the edge module item as the first reference module, repeating the steps, and repeatedly marking the quota calculation value information uploaded by the edge module item based on a sequential order.

8. A real-time calculation method for power grid operation section control limit according to claim 1, characterized in that: The method for obtaining the limit mean value includes: setting a maximum range value, dividing a calculation range based on the maximum range value, obtaining an average value of stored comparison items within the calculation range, and then obtaining at least one limit mean value.

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