Electric power system operation information intelligent acquisition system
By designing an intelligent collection system for power system operation information, using edge computing and cloud computing platforms, intelligently obtaining power data of different power equipment at different stages, solving the problem that traditional power system monitoring and management methods cannot meet the needs of modern power systems, and achieving improvements in the reliability, efficiency and safety of the power system.
Patent Information
- Application Number
- CN202510009499.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-03
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2045-01-03
AI Technical Summary
How to intelligently obtain the power data that different power equipment needs to pay attention to at different stages to meet the reliability, efficiency and safety needs of modern power systems.
Design an intelligent collection system for power system operation information, including a control center, platform deployment module, data acquisition module, data processing module and feedback implementation module. The power system operation information is obtained through the edge computing platform and submitted to the cloud computing platform to generate and collect signals based on the operation information, and then obtain the required power data.
It realizes intelligent collection of power data for different power equipment at different stages, improves the reliability, efficiency and safety of the power system, and meets the needs of modern power systems.
Smart Images

Figure CN119813537A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power information collection, and in particular to an intelligent collection system for electric power system operation information. Background Art
[0002] With the development of smart devices and Internet of Things technology, as well as the increase in power demand and the complexity of power networks, traditional power system monitoring and management methods can no longer meet the needs of modern power systems. In order to improve the reliability, efficiency and safety of power systems, intelligent data acquisition technology has been widely used in power systems.
[0003] However, the power data that needs to be paid attention to at different power consumption stages among different power consuming devices are different. How to intelligently obtain the power data that needs to be paid attention to at different stages among different power consuming devices is an issue that we need to consider at present. Summary of the invention
[0004] In order to solve the above problems, the purpose of the present invention is to provide an intelligent collection system for power system operation information.
[0005] The object of the present invention can be achieved by the following technical solutions: An intelligent collection system for power system operation information includes a control center, the control center is communicatively connected with a platform deployment module, a data collection 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 obtain the operation information of the power system through the edge computing platform and submit the operation information to the cloud computing platform;
[0008] The data processing module is used for the cloud computing platform to generate a collection signal according to the operation information;
[0009] The feedback implementation module is used by the edge computing platform to obtain operation information based on the collected signals.
[0010] Furthermore, the process of deploying the edge computing platform and the cloud computing platform includes:
[0011] The power system is composed of a plurality of load areas, wherein the load areas include a primary load area, a secondary load area and a tertiary load area;
[0012] The primary load area is the area consisting of primary load users;
[0013] The secondary load area is an area consisting of secondary load users;
[0014] The third-level load area is an area consisting of third-level load users;
[0015] Obtaining geographical locations of a primary load area, a secondary load area, and a tertiary load area, and marking the geographical locations as a primary load point, a secondary load point, and a tertiary load point, respectively;
[0016] Establish a three-dimensional coordinate system, and map the primary load point, the secondary load point and the tertiary load point to the three-dimensional coordinate system according to the geographical location;
[0017] Obtaining the minimum coverage distance of the edge computing platform, and recording the distance as the effective distance;
[0018] Step a1: Generate a circle with the coordinates of the primary load point as the center and the effective distance as the radius, 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 point, the second-level load point and the third-level load point within the minimum coverage range 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 the various platform pre-coordinates, obtain the platform pre-coordinate corresponding to the maximum platform value, and mark the platform pre-coordinate as the platform coordinate; if there are multiple platform values that are the maximum value, randomly select the platform pre-coordinate corresponding to the platform value as the platform coordinate;
[0021] Step a4: obtaining the platform coordinates corresponding to each primary load point, comparing the load coordinates corresponding to the platform coordinates, and generating repeated load coordinates according to the comparison results;
[0022] Step a5: Obtain the distance between the repeated load coordinate and each platform coordinate, obtain the platform coordinate with the smallest distance, and use the platform coordinate as the new platform coordinate of the repeated load coordinate; if there are multiple platform coordinates with the smallest distance, randomly select one of the platform coordinates as the new platform coordinate of the repeated load coordinate;
[0023] If the load coordinate A corresponding to the platform coordinate A is consistent with the load coordinate B corresponding to the platform coordinate B, then the load coordinate A and the load coordinate B are the same coordinate, that is, the coordinate corresponding to the coordinate values of the load coordinate A and the load coordinate B is a repeated load coordinate;
[0024] If there is a load point among the second-level load point and the third-level load point that has no corresponding platform coordinates, the load point is marked as a fourth-level load point;
[0025] According to the principle of obtaining the platform coordinates corresponding to the load points in steps a1 to a5, obtain the platform coordinates corresponding to the four-level load points;
[0026] Obtaining a minimum coverage distance of the cloud computing platform, and recording the distance as a communication distance;
[0027] According to 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 the communication distance;
[0028] Deploy the edge computing platform at the geographical location corresponding to the platform 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 corresponding to the platform coordinates is the load point corresponding to the edge computing platform corresponding to the platform coordinates; the edge computing platform corresponding to the platform coordinates corresponding to the central control coordinates is the edge computing platform corresponding to the cloud computing platform corresponding to the central control coordinates.
[0031] Furthermore, the process of obtaining the operation information of the power system through the edge computing platform and submitting the operation information to the cloud computing platform includes:
[0032] The edge computing platform obtains the geographical location corresponding to its corresponding load point, and generates a load ID according to the geographical location. The load ID, load point and load area are in a one-to-one correspondence with each other, and the load ID is unique;
[0033] The operation information includes primary operation information, secondary operation information and tertiary operation information;
[0034] The primary operation information includes current, voltage, load, active power and fault information;
[0035] The secondary operation information includes current, voltage, load, active power, line temperature and fault information;
[0036] The three-level operation information includes current, voltage, load, active power, line temperature, fault information and power factor;
[0037] Install smart meters, temperature sensors and fault recorders in each load area;
[0038] Obtain current, voltage, load, active power and power factor through smart meters;
[0039] Obtain line temperature through temperature sensor;
[0040] Obtain fault information through the 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 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.
[0045] Further, the process by which the cloud computing platform generates a collection signal based on the operation information includes:
[0046] The cloud computing platform generates a collection dimension wd based on the current, voltage, load, and active power in the operation information. The generation formula for the collection dimension is:
[0047] The collection dimension includes first-level collection, second-level collection, and third-level collection;
[0048] Set a collection threshold A and a collection threshold B, where the collection threshold A < the collection threshold B;
[0049] If wd ≤ the collection threshold A, then the collection dimension is first-level collection;
[0050] If the collection threshold A < wd ≤ the collection threshold B, then the collection dimension is second-level collection;
[0051] If wd > the collection threshold B, then the collection dimension is third-level collection;
[0052] When the collection dimension is first-level collection, obtain the load ID corresponding to the operation information, generate a first-level collection signal based on the load ID, and send the first-level collection signal to the edge computing platform corresponding to the load ID;
[0053] When the collection dimension is second-level collection, obtain the load ID corresponding to the operation information, generate a second-level collection signal based on the load ID, and send the second-level collection signal to the edge computing platform corresponding to the load ID;
[0054] When the collection dimension is third-level collection, obtain the load ID corresponding to the operation information, generate a third-level collection signal based on the load ID, and send the third-level collection signal 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 collection signal includes:
[0056] When a first-level acquisition signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the first-level operation information;
[0057] When a secondary collection signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the secondary operation information;
[0058] When a third-level acquisition signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the third-level operation information.
[0059] Compared with the prior art, the present invention has the following beneficial effects:
[0060] The present invention sets a number of collection dimensions, generates corresponding collection dimensions according to the operation information of each load area, and then determines the operation information that should be collected subsequently for the load area through the collection dimensions. BRIEF DESCRIPTION OF THE DRAWINGS
[0061] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION
[0062] like Figure 1 As shown, an intelligent collection system for power system operation information includes a control center, and the control center is connected to a platform deployment module, a data collection 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 obtain the operation information of the power system through the edge computing platform and submit the operation information to the cloud computing platform;
[0065] The data processing module is used for the cloud computing platform to generate a collection signal according to the operation information;
[0066] The feedback implementation module is used by the edge computing platform to obtain operation information based on the collected signal;
[0067] It should be further explained that in the specific implementation process, the process of deploying the edge computing platform and the cloud computing platform includes:
[0068] The power system is composed of a plurality of load areas, wherein the load areas include a primary load area, a secondary load area and a tertiary load area;
[0069] The primary load area is the area consisting of primary load users;
[0070] The secondary load area is an area consisting of secondary load users;
[0071] The third-level load area is an area consisting of third-level load users;
[0072] Obtaining geographical locations of a primary load area, a secondary load area, and a tertiary load area, and marking the geographical locations as a primary load point, a secondary load point, and a tertiary load point, respectively;
[0073] Establish a three-dimensional coordinate system, and map the primary load point, the secondary load point and the tertiary load point to the three-dimensional coordinate system according to the geographical location;
[0074] Obtaining the minimum coverage distance of the edge computing platform, and recording the distance as the effective distance;
[0075] Step a1: Generate a circle with the coordinates of the primary load point as the center and the effective distance as the radius, 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 point, the second-level load point and the third-level load point within the minimum coverage range 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 the various platform pre-coordinates, obtain the platform pre-coordinate corresponding to the maximum platform value, and mark the platform pre-coordinate as the platform coordinate; if there are multiple platform values that are the maximum value, randomly select the platform pre-coordinate corresponding to the platform value as the platform coordinate;
[0078] Step a4: obtaining the platform coordinates corresponding to each primary load point, comparing the load coordinates corresponding to the platform coordinates, and generating repeated load coordinates according to the comparison results;
[0079] Step a5: Obtain the distance between the repeated load coordinate and each platform coordinate, obtain the platform coordinate with the smallest distance, and use the platform coordinate as the new platform coordinate of the repeated load coordinate; if there are multiple platform coordinates with the smallest distance, randomly select one of the platform coordinates as the new platform coordinate of the repeated load coordinate;
[0080] If the load coordinate A corresponding to the platform coordinate A is consistent with the load coordinate B corresponding to the platform coordinate B, then the load coordinate A and the load coordinate B are the same coordinate, that is, the coordinate corresponding to the coordinate values of the load coordinate A and the load coordinate B is a repeated load coordinate;
[0081] If there is a load point among the second-level load point and the third-level load point that has no corresponding platform coordinates, the load point is marked as a fourth-level load point;
[0082] According to the principle of obtaining the platform coordinates corresponding to the load points in steps a1 to a5, obtain the platform coordinates corresponding to the four-level load points;
[0083] Obtaining a minimum coverage distance of the cloud computing platform, and recording the distance as a communication distance;
[0084] According to 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 the communication distance;
[0085] Deploy the edge computing platform at the geographical location corresponding to the platform 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 corresponding to the platform coordinates is the load point corresponding to the edge computing platform corresponding to the platform coordinates; the edge computing platform corresponding to the platform coordinates corresponding to the central control coordinates is the edge computing platform corresponding to 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 the operation information of the power system 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 according to the geographical location. The load ID, load point and load area are in a one-to-one correspondence with each other, and the load ID is unique;
[0090] The operation information includes primary operation information, secondary operation information and tertiary operation information;
[0091] The primary operation information includes current, voltage, load, active power and fault information;
[0092] The secondary operation information includes current, voltage, load, active power, line temperature and fault information;
[0093] The three-level operation information includes current, voltage, load, active power, line temperature, fault information and power factor;
[0094] Install smart meters, temperature sensors and fault recorders in each load area;
[0095] Obtain current, voltage, load, active power and power factor through smart meters;
[0096] Obtain line temperature through temperature sensor;
[0097] Obtain fault information through the 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 according to 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 acquisition threshold A < acquisition threshold B;
[0106] If wd ≤ acquisition threshold A, the acquisition dimension is first-level acquisition;
[0107] If acquisition threshold A < wd ≤ acquisition threshold B, the acquisition dimension is second-level acquisition;
[0108] If wd > 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 according to 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 according to 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 according to 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 according to the acquisition signal includes:
[0113] When a first-level acquisition signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the first-level operation information;
[0114] When a secondary collection signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the secondary operation information;
[0115] When a third-level acquisition signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the third-level operation information;
[0116] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. An intelligent collection system for power system operation information, comprising a control center, characterized in that: The control center is communicatively connected with 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 obtain the operation information of the power system through the edge computing platform and submit the operation information to the cloud computing platform; The data processing module is used for the cloud computing platform to generate a collection signal according to the operation information; The feedback implementation module is used by the edge computing platform to obtain operation information based on the collected signals.
2. The intelligent collection system for power system operation information according to claim 1 is characterized in that: The process of deploying edge computing platforms and cloud computing platforms includes: The power system is composed of a plurality of load areas, wherein the load areas include a primary load area, a secondary load area and a tertiary load area; The primary load area is an area consisting of primary load users, the secondary load area is an area consisting of secondary load users, and the tertiary load area is an area consisting of tertiary load users; Obtaining geographical locations of a primary load area, a secondary load area, and a tertiary load area, and marking the geographical locations as a primary load point, a secondary load point, and a tertiary load point, respectively; Establish a three-dimensional coordinate system, and map the primary load point, the secondary load point and the tertiary load point to the three-dimensional coordinate system according to the geographical location; Obtaining the minimum coverage distance of the edge computing platform, and recording the distance as the effective distance; Obtain the corresponding platform coordinates of each load point according to the effective distance; Obtaining a minimum coverage distance of the cloud computing platform, and recording the distance as a communication distance; Based on the principle of obtaining the corresponding platform coordinates of each load point by effective distance, the corresponding central control coordinates of each platform coordinate are obtained through communication distance; Deploy the edge computing platform at the geographical location corresponding to the platform coordinates; Deploy the cloud computing platform at the geographical location corresponding to the central control coordinates.
3. The intelligent collection system for power system operation information according to claim 2 is characterized in that: The process of obtaining the corresponding platform coordinates of each load point according to the effective distance includes: Step a1: Generate a circle with the coordinates of the primary load point as the center and the effective distance as the radius, 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 point, the second-level load point and the third-level load point within the minimum coverage range 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 the various platform pre-coordinates, obtain the platform pre-coordinate corresponding to the maximum platform value, and mark the platform pre-coordinate as the platform coordinate; if there are multiple platform values that are the maximum value, randomly select the platform pre-coordinate corresponding to the platform value as the platform coordinate; Step a4: obtaining the platform coordinates corresponding to each primary load point, comparing the load coordinates corresponding to the platform coordinates, and generating repeated load coordinates according to the comparison results; Step a5: Obtain the distances between the coordinates of the repetitive load and the coordinates of each platform, and obtain the platform coordinates with the minimum distance. Use the platform coordinates as the new platform coordinates of the repetitive load coordinate. If there are multiple platform coordinates with the minimum distance, randomly select one of the platform coordinates as the new platform coordinates of the repetitive load coordinate; If the load coordinate A corresponding to the platform coordinate A is the same as the load coordinate B corresponding to the platform coordinate B, then the load coordinate A and the load coordinate B are the same coordinate, that is, the coordinate corresponding to the coordinate values of the load coordinate A and the load coordinate B is a repetitive load coordinate; If there is a load point among the secondary load points and the tertiary load points that does not have a corresponding platform coordinate, then mark the load point as a quaternary load point; According to the principle of obtaining the platform coordinates corresponding to the load points in steps a1 to a5, obtain the platform coordinates corresponding to the quaternary load points.
4. The intelligent collection system for power system operation information according to claim 3 is characterized in that: The process of obtaining the operation information of the power system through the edge computing platform and submitting the operation information to the cloud computing platform includes: The edge computing platform obtains the geographical location corresponding to its corresponding load point, generates a load ID according to the geographical location. The load ID, the load point, and the load area are in a one-to-one correspondence, and the load ID is unique; The operation information includes primary operation information, secondary operation information, and tertiary operation information; The primary operation information includes current, voltage, load, active power, and fault information; The secondary operation information includes current, voltage, load, active power, line temperature, and fault information; The tertiary operation information includes current, voltage, load, active power, line temperature, fault information, and power factor; Set smart meters, temperature sensors, and fault recorders in each load area; Obtain current, voltage, load, active power, and power factor through the smart meter; obtain the line temperature through the temperature sensor; obtain the fault information through the fault recorder; The operation information corresponding to the primary load area is the primary operation information; the operation information corresponding to the secondary load area is the secondary operation information; the operation information corresponding to the tertiary load area is the tertiary operation information; The edge computing platform obtains the operation information and the load ID corresponding to each load area, and submits the operation information and the load ID to the cloud computing platform corresponding to the edge computing platform.
5. The intelligent collection system for power system operation information according to claim 4 is characterized in that: The process of the cloud computing platform generating the acquisition signal according to the operation information includes: The cloud computing platform generates the acquisition dimension wd according to the current, voltage, load and active power in the operation information, where the generation formula of the acquisition dimension is: The acquisition dimensions include primary acquisition, secondary acquisition, and tertiary acquisition; Set an acquisition threshold A and an acquisition threshold B, where the acquisition threshold A < the acquisition threshold B; If wd ≤ the acquisition threshold A, then the acquisition dimension is primary acquisition; If the acquisition threshold A < wd ≤ the acquisition threshold B, then the acquisition dimension is secondary acquisition; If wd > the acquisition threshold B, then the acquisition dimension is tertiary acquisition; When the acquisition dimension is primary acquisition, obtain the load ID corresponding to the operation information, generate a primary acquisition signal according to the load ID, and send the primary acquisition signal to the edge computing platform corresponding to the load ID; When the collection dimension is secondary collection, the load ID corresponding to the operation information is obtained, a secondary collection signal is generated according to the load ID, and the secondary collection signal is sent to the edge computing platform corresponding to the load ID; When the collection dimension is three-level collection, the load ID corresponding to the operation information is obtained, a three-level collection signal is generated according to the load ID, and the three-level collection signal is sent to the edge computing platform corresponding to the load ID.
6. The intelligent collection system for power system operation information according to claim 5, characterized in that: The process of the edge computing platform obtaining operation information based on the collected signals includes: When a first-level acquisition signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the first-level operation information; When a secondary collection signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the secondary operation information; When a third-level acquisition signal is received, the operation information corresponding to the load area corresponding to the load ID is changed to the third-level operation information.
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