An intelligent collection system for power system operation information
By introducing an intelligent power system operation information acquisition system into the power system and utilizing edge computing and cloud computing platforms, the problem of intelligent data acquisition for different electrical devices at different stages has been solved, thereby improving the reliability and efficiency of the power system.
Patent Information
- Application Number
- CN202510009499.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-03
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2045-01-03
AI Technical Summary
Traditional power system monitoring and management methods cannot meet the intelligent data acquisition needs of modern power systems, especially how to intelligently acquire relevant power data at different stages of different power-consuming equipment.
An intelligent power system operation information acquisition system is adopted, including a control center, a platform deployment module, a data acquisition module, and a feedback implementation module. The system acquires and processes power system operation information through an edge computing platform and a cloud computing platform, and generates acquisition signals based on the acquired signals. The edge computing and cloud computing platforms are deployed using a three-dimensional coordinate system, and the acquisition dimensions are set to determine the type of acquired information.
It enables the acquisition of corresponding power data according to different stages of load areas, improving the reliability, efficiency and security of the power system and meeting the intelligent data acquisition needs of modern power systems.
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Figure CN119813537B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power information acquisition technology, specifically an intelligent acquisition system for power system operation information. Background Technology
[0002] With the development of smart devices and IoT technologies, as well as the increase in electricity demand and the growing complexity of power networks, traditional power system monitoring and management methods can no longer meet the needs of modern power systems. To improve the reliability, efficiency, and security of power systems, intelligent data acquisition technology is being widely applied.
[0003] However, the power data that needs to be monitored differs between different electrical devices and at different power consumption stages. How to intelligently acquire the power data that needs to be monitored for different electrical devices at different stages is a problem that we need to consider at present. Summary of the Invention
[0004] To address the aforementioned problems, the present invention aims to provide an intelligent power system operation information acquisition system.
[0005] The objective of this invention can be achieved through the following technical solution: an intelligent power system operation information acquisition system, comprising a control center, wherein the control center is communicatively connected to a platform deployment module, a data acquisition module, a data processing module, and a feedback implementation module;
[0006] The platform deployment module is used to deploy edge computing platforms and cloud computing platforms;
[0007] The data acquisition module is used to acquire the power system's operation information through the edge computing platform and submit the operation information to the cloud computing platform;
[0008] The data processing module is used by the cloud computing platform to generate acquisition signals based on operational information;
[0009] The feedback implementation module is used by the edge computing platform to obtain operational information based on the collected signals.
[0010] Furthermore, the process of deploying edge computing platforms and cloud computing platforms includes:
[0011] The power system consists of several load areas, including primary load areas, secondary load areas, and tertiary load areas;
[0012] The primary load area is the area comprised of primary load users;
[0013] The secondary load area is the area composed of secondary load users;
[0014] The three-level load area is the area composed of three-level load users;
[0015] Obtain the geographical locations of the primary load area, the secondary load area, and the tertiary load area, and mark the geographical locations as primary load points, secondary load points, and tertiary load points, respectively.
[0016] Establish a three-dimensional coordinate system and map the primary load points, secondary load points, and tertiary load points to the three-dimensional coordinate system according to their geographical locations;
[0017] Obtain the minimum coverage distance of the edge computing platform and record the distance as the effective distance;
[0018] Step a1: Using the coordinates of the primary load point as the center and the effective distance as the radius, generate a circle, and then mark the coordinates corresponding to the circumference of the circle as the platform pre-coordinates;
[0019] Step a2: Sequentially use the platform pre-coordinates as the edge computing platform, and obtain the coordinates and quantity of the first-level load points, second-level load points and third-level load points within the minimum coverage area of the edge computing platform. Mark the coordinates as the load coordinates corresponding to the platform pre-coordinates, and mark the quantity as the platform value corresponding to the platform pre-coordinates.
[0020] Step a3: Compare the platform values corresponding to each platform pre-coordinate, obtain the platform pre-coordinate corresponding to the platform value with the maximum value, and mark the platform pre-coordinate as the platform coordinate; if there are multiple platform values with the maximum value, randomly select the platform pre-coordinate corresponding to the platform value as the platform coordinate;
[0021] Step a4: Obtain the platform coordinates corresponding to each primary load point, compare the load coordinates corresponding to the platform coordinates, and generate duplicate load coordinates based on the comparison results;
[0022] Step a5: Obtain the distance between the repetitive load coordinate and each platform coordinate, find the platform coordinate with the smallest distance, and use the platform coordinate with the smallest distance as the new platform coordinate for the repetitive load coordinate; if there are multiple platform coordinates with the smallest distance, randomly select one of the platform coordinates as the new platform coordinate for the repetitive load coordinate.
[0023] If the load coordinate A corresponding to platform coordinate A is the same as the load coordinate B corresponding to platform coordinate B, then load coordinate A and load coordinate B are the same coordinate, that is, the coordinates corresponding to the coordinate values of load coordinate A and load coordinate B are the repetitive load coordinates.
[0024] If there are load points among the secondary and tertiary load points that do not have corresponding platform coordinates, then the load points will be marked as tertiary load points.
[0025] Based on the principle of obtaining the platform coordinates of the load point in steps a1 to a5, obtain the platform coordinates of the fourth-level load point.
[0026] Obtain the minimum coverage distance of the cloud computing platform and record the distance as the communication distance;
[0027] Based on the principle of obtaining the platform coordinates corresponding to the load point in steps a1 to a5, the central control coordinates corresponding to the platform coordinates are obtained through communication distance;
[0028] Deploy the edge computing platform at the geographical location corresponding to the platform's coordinates;
[0029] Deploy the cloud computing platform at the geographical location corresponding to the central control coordinates;
[0030] The load point corresponding to the load coordinates of the platform is the corresponding load point of the edge computing platform corresponding to the platform coordinates; the edge computing platform corresponding to the platform coordinates of the central control coordinates is the corresponding edge computing platform of the cloud computing platform corresponding to the central control coordinates.
[0031] Furthermore, the process of acquiring power system operation information through an edge computing platform and submitting that information to a cloud computing platform includes:
[0032] The edge computing platform obtains the geographical location corresponding to its corresponding load point, and generates a load ID based on the geographical location. The load ID, load point and load region have a one-to-one correspondence, and the load ID is unique.
[0033] The operational information includes primary operational information, secondary operational information, and tertiary operational information;
[0034] The primary operating information includes current, voltage, load, active power, and fault information;
[0035] The secondary operating information includes current, voltage, load, active power, line temperature, and fault information;
[0036] The three-level operating information includes current, voltage, load, active power, line temperature, fault information, and power factor.
[0037] Smart meters, temperature sensors, and fault recorders are installed in each load area;
[0038] Data such as current, voltage, load, active power, and power factor can be obtained through smart meters.
[0039] The line temperature is obtained using a temperature sensor;
[0040] Fault information is obtained through a fault recorder;
[0041] The operation information corresponding to the first-level load area is the first-level operation information;
[0042] The operation information corresponding to the second-level load area is the second-level operation information;
[0043] The operation information corresponding to the third-level load area is the third-level operation information;
[0044] The operation information and load ID corresponding to each load area are obtained through the edge computing platform, and the operation information and load ID are submitted to the cloud computing platform corresponding to the edge computing platform.
[0045] Further, the process by which the cloud computing platform generates the acquisition signal based on the operation information includes:
[0046] The cloud computing platform generates an acquisition dimension wd based on the current, voltage, load, and active power in the operation information. The generation formula for the acquisition dimension is:
[0047] The acquisition dimension includes first-level acquisition, second-level acquisition, and third-level acquisition;
[0048] Set an acquisition threshold A and an acquisition threshold B, where acquisition threshold A < acquisition threshold B;
[0049] If wd ≤ acquisition threshold A, the acquisition dimension is first-level acquisition;
[0050] If acquisition threshold A < wd ≤ acquisition threshold B, the acquisition dimension is second-level acquisition;
[0051] If wd > acquisition threshold B, the acquisition dimension is third-level acquisition;
[0052] When the acquisition dimension is first-level acquisition, the load ID corresponding to the operation information is obtained, a first-level acquisition signal is generated based on the load ID, and the first-level acquisition signal is sent to the edge computing platform corresponding to the load ID;
[0053] When the acquisition dimension is second-level acquisition, the load ID corresponding to the operation information is obtained, a second-level acquisition signal is generated based on the load ID, and the second-level acquisition signal is sent to the edge computing platform corresponding to the load ID;
[0054] When the acquisition dimension is third-level acquisition, the load ID corresponding to the operation information is obtained, a third-level acquisition signal is generated based on the load ID, and the third-level acquisition signal is sent to the edge computing platform corresponding to the load ID.
[0055] Further, the process by which the edge computing platform obtains operation information based on the acquisition signal includes:
[0056] When a Level 1 acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to Level 1 operation information.
[0057] When a secondary acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to the secondary operation information;
[0058] When a Level 3 acquisition signal is received, the operating information corresponding to the load area of the load ID is changed to Level 3 operating information.
[0059] Compared with the prior art, the present invention has the following beneficial effects:
[0060] This invention sets several collection dimensions, generates corresponding collection dimensions based on the operating information of each load area, and then determines the operating information that should be collected in the subsequent load area based on the collection dimensions. Attached Figure Description
[0061] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation
[0062] like Figure 1 As shown, an intelligent power system operation information acquisition system includes a control center, which is connected to a platform deployment module, a data acquisition module, a data processing module, and a feedback implementation module.
[0063] The platform deployment module is used to deploy edge computing platforms and cloud computing platforms;
[0064] The data acquisition module is used to acquire the power system's operation information through the edge computing platform and submit the operation information to the cloud computing platform;
[0065] The data processing module is used by the cloud computing platform to generate acquisition signals based on operational information;
[0066] The feedback implementation module is used by the edge computing platform to obtain operational information based on the collected signals;
[0067] It should be further explained that, in the specific implementation process, the deployment of edge computing platforms and cloud computing platforms includes:
[0068] The power system consists of several load areas, including primary load areas, secondary load areas, and tertiary load areas;
[0069] The primary load area is the area comprised of primary load users;
[0070] The secondary load area is the area composed of secondary load users;
[0071] The three-level load area is the area composed of three-level load users;
[0072] Obtain the geographical locations of the primary load area, the secondary load area, and the tertiary load area, and mark the geographical locations as primary load points, secondary load points, and tertiary load points, respectively.
[0073] Establish a three-dimensional coordinate system and map the primary load points, secondary load points, and tertiary load points to the three-dimensional coordinate system according to their geographical locations;
[0074] Obtain the minimum coverage distance of the edge computing platform and record the distance as the effective distance;
[0075] Step a1: Using the coordinates of the primary load point as the center and the effective distance as the radius, generate a circle, and then mark the coordinates corresponding to the circumference of the circle as the platform pre-coordinates;
[0076] Step a2: Sequentially use the platform pre-coordinates as the edge computing platform, and obtain the coordinates and quantity of the first-level load points, second-level load points and third-level load points within the minimum coverage area of the edge computing platform. Mark the coordinates as the load coordinates corresponding to the platform pre-coordinates, and mark the quantity as the platform value corresponding to the platform pre-coordinates.
[0077] Step a3: Compare the platform values corresponding to each platform pre-coordinate, obtain the platform pre-coordinate corresponding to the platform value with the maximum value, and mark the platform pre-coordinate as the platform coordinate; if there are multiple platform values with the maximum value, randomly select the platform pre-coordinate corresponding to the platform value as the platform coordinate;
[0078] Step a4: Obtain the platform coordinates corresponding to each primary load point, compare the load coordinates corresponding to the platform coordinates, and generate duplicate load coordinates based on the comparison results;
[0079] Step a5: Obtain the distance between the repetitive load coordinate and each platform coordinate, find the platform coordinate with the smallest distance, and use the platform coordinate with the smallest distance as the new platform coordinate for the repetitive load coordinate; if there are multiple platform coordinates with the smallest distance, randomly select one of the platform coordinates as the new platform coordinate for the repetitive load coordinate.
[0080] If the load coordinate A corresponding to platform coordinate A is the same as the load coordinate B corresponding to platform coordinate B, then load coordinate A and load coordinate B are the same coordinate, that is, the coordinates corresponding to the coordinate values of load coordinate A and load coordinate B are the repetitive load coordinates.
[0081] If there are load points among the secondary and tertiary load points that do not have corresponding platform coordinates, then the load points will be marked as tertiary load points.
[0082] Based on the principle of obtaining the platform coordinates of the load point in steps a1 to a5, obtain the platform coordinates of the fourth-level load point.
[0083] Obtain the minimum coverage distance of the cloud computing platform and record the distance as the communication distance;
[0084] Based on the principle of obtaining the platform coordinates corresponding to the load point in steps a1 to a5, the central control coordinates corresponding to the platform coordinates are obtained through communication distance;
[0085] Deploy the edge computing platform at the geographical location corresponding to the platform's coordinates;
[0086] Deploy the cloud computing platform at the geographical location corresponding to the central control coordinates;
[0087] The load point corresponding to the load coordinates of the platform is the corresponding load point of the edge computing platform corresponding to the platform coordinates; the edge computing platform corresponding to the platform coordinates of the central control coordinates is the corresponding edge computing platform of the cloud computing platform corresponding to the central control coordinates.
[0088] It should be further explained that, in the specific implementation process, the process of obtaining power system operation information through the edge computing platform and submitting the operation information to the cloud computing platform includes:
[0089] The edge computing platform obtains the geographical location corresponding to its corresponding load point, and generates a load ID based on the geographical location. The load ID, load point and load region have a one-to-one correspondence, and the load ID is unique.
[0090] The operational information includes primary operational information, secondary operational information, and tertiary operational information;
[0091] The primary operating information includes current, voltage, load, active power, and fault information;
[0092] The secondary operating information includes current, voltage, load, active power, line temperature, and fault information;
[0093] The three-level operating information includes current, voltage, load, active power, line temperature, fault information, and power factor.
[0094] Smart meters, temperature sensors, and fault recorders are installed in each load area;
[0095] Data such as current, voltage, load, active power, and power factor can be obtained through smart meters.
[0096] The line temperature is obtained using a temperature sensor;
[0097] Fault information is obtained through a fault recorder;
[0098] The operation information corresponding to the first-level load area is the first-level operation information;
[0099] The operation information corresponding to the second-level load area is the second-level operation information;
[0100] The operation information corresponding to the third-level load area is the third-level operation information;
[0101] Obtain the operation information and load ID corresponding to each load area through the edge computing platform, and submit the operation information and load ID to the cloud computing platform corresponding to the edge computing platform;
[0102] It should be further noted that in the specific implementation process, the process by which the cloud computing platform generates the acquisition signal based on the operation information includes:
[0103] The cloud computing platform generates an acquisition dimension wd based on the current, voltage, load, and active power in the operation information. The generation formula for the acquisition dimension is:
[0104] The acquisition dimension includes first-level acquisition, second-level acquisition, and third-level acquisition;
[0105] Set an acquisition threshold A and an acquisition threshold B, where the acquisition threshold A < the acquisition threshold B;
[0106] If wd ≤ the acquisition threshold A, the acquisition dimension is first-level acquisition;
[0107] If the acquisition threshold A < wd ≤ the acquisition threshold B, the acquisition dimension is second-level acquisition;
[0108] If wd > the acquisition threshold B, the acquisition dimension is third-level acquisition;
[0109] When the acquisition dimension is first-level acquisition, obtain the load ID corresponding to the operation information, generate a first-level acquisition signal based on the load ID, and send the first-level acquisition signal to the edge computing platform corresponding to the load ID;
[0110] When the acquisition dimension is second-level acquisition, obtain the load ID corresponding to the operation information, generate a second-level acquisition signal based on the load ID, and send the second-level acquisition signal to the edge computing platform corresponding to the load ID;
[0111] When the acquisition dimension is third-level acquisition, obtain the load ID corresponding to the operation information, generate a third-level acquisition signal based on the load ID, and send the third-level acquisition signal to the edge computing platform corresponding to the load ID;
[0112] It should be further noted that in the specific implementation process, the process by which the edge computing platform obtains the operation information based on the acquisition signal includes:
[0113] When a Level 1 acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to Level 1 operation information.
[0114] When a secondary acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to the secondary operation information;
[0115] When a Level 3 acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to Level 3 operation information.
[0116] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the present invention.
Claims
1. A power system operation information intelligent acquisition system, comprising a control center, characterized in that, The control center is connected to a platform deployment module, a data acquisition module, a data processing module, and a feedback implementation module. The platform deployment module is used to deploy edge computing platforms and cloud computing platforms; The data acquisition module is used to acquire the power system's operation information through the edge computing platform and submit the operation information to the cloud computing platform; The data processing module is used by the cloud computing platform to generate acquisition signals based on operational information; The feedback implementation module is used by the edge computing platform to obtain operational information based on the collected signals; The process by which a cloud computing platform generates acquisition signals based on operational information includes: The cloud computing platform generates the acquisition dimension wd based on the current, voltage, load, and active power data in the operational information. The formula for generating the acquisition dimension is as follows: ; The data collection dimensions include primary data collection, secondary data collection, and tertiary data collection. Set the data collection thresholds A and B, where threshold A is the data collection threshold. Data collection threshold B; If wd If the collection threshold is A, then the collection dimension is level one collection; If the collection threshold A wd If the collection threshold is B, then the collection dimension is two-level collection; If wd If the collection threshold is B, then the collection dimension is three levels. When the collection dimension is level one collection, the load ID corresponding to the operation information is obtained, a level one collection signal is generated based on the load ID, and the level one collection signal is sent to the edge computing platform corresponding to the load ID. When the acquisition dimension is secondary acquisition, the load ID corresponding to the operation information is obtained, a secondary acquisition signal is generated based on the load ID, and the secondary acquisition signal is sent to the edge computing platform corresponding to the load ID; When the acquisition dimension is three-level acquisition, the load ID corresponding to the operation information is obtained, a three-level acquisition signal is generated based on the load ID, and the three-level acquisition signal is sent to the edge computing platform corresponding to the load ID.
2. The intelligent power system operation information acquisition system according to claim 1, characterized in that, The process of deploying edge computing platforms and cloud computing platforms includes: The power system consists of several load areas, including primary load areas, secondary load areas, and tertiary load areas; The primary load area is the area composed of primary load users, the secondary load area is the area composed of secondary load users, and the tertiary load area is the area composed of tertiary load users. Obtain the geographical locations of the primary load area, the secondary load area, and the tertiary load area, and mark the geographical locations as primary load points, secondary load points, and tertiary load points, respectively. Establish a three-dimensional coordinate system and map the primary load points, secondary load points, and tertiary load points to the three-dimensional coordinate system according to their geographical locations; Obtain the minimum coverage distance of the edge computing platform and record the distance as the effective distance; Obtain the corresponding platform coordinates for each load point based on the effective distance; Obtain the minimum coverage distance of the cloud computing platform and record the distance as the communication distance; Based on the principle of obtaining the corresponding platform coordinates of each load point according to the effective distance, the corresponding central control coordinates of each platform coordinate are obtained through the communication distance; Deploy the edge computing platform at the geographical location corresponding to the platform's coordinates; Deploy the cloud computing platform at the geographical location corresponding to the central control coordinates.
3. The intelligent power system operation information acquisition system according to claim 2, characterized in that, The process of obtaining the platform coordinates of each load point based on the effective distance includes: Step a1: Using the coordinates of the primary load point as the center and the effective distance as the radius, generate a circle, and then mark the coordinates corresponding to the circumference of the circle as the platform pre-coordinates; Step a2: Sequentially use the platform pre-coordinates as the edge computing platform, and obtain the coordinates and quantity of the first-level load points, second-level load points and third-level load points within the minimum coverage area of the edge computing platform. Mark the coordinates as the load coordinates corresponding to the platform pre-coordinates, and mark the quantity as the platform value corresponding to the platform pre-coordinates. Step a3: Compare the platform values corresponding to each platform pre-coordinate, obtain the platform pre-coordinate corresponding to the platform value with the maximum value, and mark the platform pre-coordinate as the platform coordinate; if there are multiple platform values with the maximum value, randomly select the platform pre-coordinate corresponding to the platform value as the platform coordinate; Step a4: Obtain the platform coordinates corresponding to each primary load point, compare the load coordinates corresponding to the platform coordinates, and generate duplicate load coordinates based on the comparison results; Step a5: Obtain the distance between the repetitive load coordinate and each platform coordinate, find the platform coordinate with the smallest distance, and use the platform coordinate with the smallest distance as the new platform coordinate for the repetitive load coordinate; if there are multiple platform coordinates with the smallest distance, randomly select one of the platform coordinates as the new platform coordinate for the repetitive load coordinate. If the load coordinate A corresponding to platform coordinate A is the same as the load coordinate B corresponding to platform coordinate B, then load coordinate A and load coordinate B are the same coordinate, that is, the coordinates corresponding to the coordinate values of load coordinate A and load coordinate B are the repetitive load coordinates. If there are load points among the secondary and tertiary load points that do not have corresponding platform coordinates, then the load points will be marked as tertiary load points. Based on the principle of obtaining the platform coordinates of the load point in steps a1 to a5, obtain the platform coordinates of the fourth-level load point.
4. The intelligent power system operation information acquisition system according to claim 3, characterized in that, The process of acquiring power system operation information through an edge computing platform and submitting that information to a cloud computing platform includes: The edge computing platform obtains the geographical location corresponding to its corresponding load point, and generates a load ID based on the geographical location. The load ID, load point and load area have a one-to-one correspondence, and the load ID is unique. The operational information includes primary operational information, secondary operational information, and tertiary operational information; The primary operating information includes current, voltage, load, active power, and fault information; The secondary operating information includes current, voltage, load, active power, line temperature, and fault information; The three-level operating information includes current, voltage, load, active power, line temperature, fault information, and power factor. Smart meters, temperature sensors, and fault recorders are installed in each load area; The system obtains current, voltage, load, active power, and power factor through smart meters; it obtains line temperature through temperature sensors; and it obtains fault information through fault recorders. The operational information corresponding to the Level 1 load area is Level 1 operational information; the operational information corresponding to the Level 2 load area is Level 2 operational information; and the operational information corresponding to the Level 3 load area is Level 3 operational information. The edge computing platform obtains the operation information and load ID corresponding to each load area, and submits the operation information and load ID to the cloud computing platform corresponding to the edge computing platform.
5. The intelligent power system operation information acquisition system according to claim 4, characterized in that, The process by which an edge computing platform acquires operational information based on collected signals includes: When a Level 1 acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to Level 1 operation information. When a secondary acquisition signal is received, the operation information corresponding to the load area of the load ID is changed to the secondary operation information; When a Level 3 acquisition signal is received, the operating information corresponding to the load area of the load ID is changed to Level 3 operating information.
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