Intelligent power supply system data integrated management platform and method

Abstract

The invention discloses an intelligent power supply system data integrated management platform and method, and the platform comprises a different-time-period power supply system parameter monitoring point unit which is used for carrying out the positioning setting of power supply system parameter monitoring points in a power transmission line according to the power monitoring safety limit peak values of different places, establishing data transmission relations for the power supply system parameter monitoring points at different altitudes; the power supply system data centralized control center is used for performing power utilization stability monitoring and clustering management on different power utilization customer groups by using the change data of the area to which the power supply system parameters belong and the change of the preset area to which the power supply system parameters belong, so as to obtain a monitoring and clustering management result; and the power supply system parameter abnormal jump range unit is used for sending different power supply system parameter abnormal jump range prompt information by using the monitoring and clustering management result. According to the invention, the timeliness of parameter adjustment and optimization of the power supply system is ensured, and the safety of different electricity customer groups is ensured.

Description

Technical Field

[0001] The present invention relates to the field of power supply system monitoring, and in particular to an intelligent power supply system data integrated management platform and method. Background Art

[0002] As the complexity and scale of modern power systems continue to expand, higher requirements are placed on the management of power supply systems. The intelligent power supply system data integrated management platform is designed to meet the diverse challenges that arise in the power industry, such as optimized management of energy consumption, rapid location and repair of system faults, and real-time monitoring and prediction of power loads. This platform integrates advanced technologies such as big data analysis, artificial intelligence, the Internet of Things, and edge computing to comprehensively monitor and manage the operating status of the power system, thereby improving the safety, reliability, and efficiency of the power system and adapting to the development needs of future smart cities and smart grids.

[0003] At present, power supply system management mostly relies on traditional monitoring and control methods, which include the use of power sensors, SCADA (Supervisory Control and Data Acquisition System) systems and cloud computing-based analysis platforms. Although these technologies have achieved the monitoring and management of power supply systems to a certain extent, they have many limitations. For example, traditional SCADA systems are mainly used to monitor the operating status of power networks in real time, with limited data processing capabilities, making it difficult to cope with the real-time analysis needs of abnormal data. In addition, although cloud computing platforms have powerful computing and storage capabilities, due to network delays and data transmission costs, real-time performance and data security are difficult to fully guarantee. In this context, there is an urgent need for a more intelligent and efficient comprehensive management method for power supply system data. Summary of the invention

[0004] The present application provides an intelligent power supply system data integrated management platform and method, which are used to solve the technical problems of the existing technology that lack professionalism, reliability and timeliness.

[0005] In view of this, the first aspect of the present application provides an intelligent power supply system data integrated management platform, including: a power supply system parameter monitoring point positioning setting block, a power supply system data control center and a power supply system parameter abnormal jump range unit;

[0006] The power supply system parameter monitoring point unit for different time periods is used to locate and set the power supply system parameter monitoring points in the transmission line according to the power monitoring safety limit peak value at different locations, obtain the power supply system parameter monitoring points at different altitudes, and establish data transmission relationships for the power supply system parameter monitoring points at different altitudes, respectively. The power supply system parameter monitoring points at different altitudes include the basic power data processing power supply system parameter monitoring point, the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point;

[0007] The power supply system data control center includes a plurality of information integration base stations, which are used to obtain the regional change data of the power supply system parameters of each power supply system parameter monitoring point in the region, and use the regional change data of the power supply system parameters and the preset regional change data of the power supply system parameters to perform power consumption stability monitoring and cluster management of different power consumption customer groups to obtain monitoring and cluster management results. The regional change data of the power supply system parameters include the voltage fluctuation range of the region, the harmonics and their components in the region, the fault frequency of the transmission lines in the region, and the stability of the power at the user end;

[0008] The power supply system parameter abnormal jump range unit is used to use the monitoring and cluster management results to issue different power supply system parameter abnormal jump range prompt information, thereby prompting the power department to adjust and optimize the power supply system parameters.

[0009] Furthermore, it also includes: a wireless signal transmission unit;

[0010] The wireless signal transmission unit is used to implement wireless signal transmission between the power supply system parameter abnormal jump range unit and the edge computing gateway and distributed file system by using wireless signal transmission technology.

[0011] Furthermore, the regional changes of the preset power supply system parameters include the preset power parameter change interval and the preset short-circuit capacity index, the monitoring and clustering management results include the power jump range exceeding the safety limit peak monitoring and clustering management results, the impedance fluctuation monitoring and clustering management results and the short-circuit capacity monitoring and clustering management results, and the power supply system data control center specifically includes:

[0012] The power supply system parameter regional change module is used to obtain the power supply system parameter regional change data of each power supply system parameter monitoring point in the region, and the power supply system parameter regional change data includes the voltage fluctuation range in the region, the harmonics and their components in the region, the fault frequency of the transmission line in the region, and the stability of the power supply at the user end;

[0013] A power monitoring and cluster management module is used to monitor and manage the peak value of the power jump range exceeding the safety limit by using the fault frequency of the transmission line in the region and the preset power parameter change interval, and obtain the monitoring and cluster management result of the power jump range exceeding the safety limit peak value;

[0014] An impedance monitoring and cluster management module, used to perform impedance fluctuation monitoring and cluster management using the voltage fluctuation range of the region, the harmonics and their components of the region, and the fault frequency of the transmission line in the region, to obtain impedance fluctuation monitoring and cluster management results;

[0015] The short-circuit capacity monitoring and clustering management module is used to perform short-circuit capacity monitoring and clustering management by utilizing the stability of the user-side power and the preset short-circuit capacity index to obtain the short-circuit capacity monitoring and clustering management results.

[0016] Furthermore, the power monitoring and cluster management module is specifically used to:

[0017] When the fault frequency of the transmission line in the area to which the power supply system parameter monitoring point belongs to any one of the power supply system parameter monitoring points trained by the edge computing gateway intelligent big data algorithm exceeds the preset power parameter change range, it is judged that the power jump range of the power supply system parameter monitoring point trained by the edge computing gateway intelligent big data algorithm exceeds the safety limit peak value;

[0018] When the fault frequency of the transmission line in the region to which any of the power supply system parameter monitoring points of the load demand power data clustering management power supply system parameter monitoring points belongs exceeds the preset power parameter change interval, it is determined that the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have both jumped beyond the safety limit peak value;

[0019] When the fault frequency of the transmission line in the area to which the basic power data processing power supply system parameter monitoring point belongs exceeds the preset power parameter change range, it is determined that the power of the basic power data processing power supply system parameter monitoring point, the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have all jumped beyond the safety-limited peak value.

[0020] Furthermore, the short-circuit capacity monitoring and cluster management module is specifically used for:

[0021] When the stability of the user-end power corresponding to the basic power data processing power supply system parameter monitoring point exceeds the preset short-circuit capacity index, it is determined whether the stability of the user-end power corresponding to the load demand power data clustering management power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it exceeds, it is determined that the monitoring data between the basic power data processing power supply system parameter monitoring point and the load demand power data clustering management power supply system parameter monitoring point has a short-circuit capacity abnormality. If it does not exceed, it is determined whether the stability of the user-end power corresponding to the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it does not exceed, it is determined that the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality. If it exceeds, it is determined that the monitoring data between the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality.

[0022] The second aspect of the present application provides a method for comprehensive management of data of an intelligent power supply system, comprising:

[0023] The power supply system parameter monitoring points in the transmission line are located and set according to the power monitoring safety limit peak values ​​at different locations, and the power supply system parameter monitoring points at different altitudes are obtained, and a data transmission relationship is established for the power supply system parameter monitoring points at different altitudes. The power supply system parameter monitoring points at different altitudes include the basic power data processing power supply system parameter monitoring point, the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point;

[0024] The region obtains the regional change data of the power supply system parameters of each power supply system parameter monitoring point, and uses the regional change data of the power supply system parameters and the preset regional changes of the power supply system parameters to perform power consumption stability monitoring and cluster management of different power consumption customer groups to obtain monitoring and cluster management results. The regional change data of the power supply system parameters include the voltage fluctuation range of the region, the harmonics and their components in the region, the fault frequency of the transmission lines in the region, and the stability of the power at the user end;

[0025] The monitoring and cluster management results are used to issue different power supply system parameter abnormal jump range prompt information, thereby prompting the power department to adjust and optimize the power supply system parameters.

[0026] Furthermore, the region obtains the power supply system parameter region change data of each power supply system parameter monitoring point, and uses the power supply system parameter region change data and the preset power supply system parameter region change to perform power consumption stability monitoring and cluster management for different power consumption customer groups, and obtains monitoring and cluster management results, including:

[0027] The region obtains the regional change data of the power supply system parameters of each power supply system parameter monitoring point, wherein the regional change data of the power supply system parameters includes the voltage fluctuation range of the region, the harmonics and their components of the region, the fault frequency of the transmission line in the region, and the stability of the power at the user end;

[0028] Using the fault frequency of the transmission line in the region and the preset power parameter change interval to perform power jump range exceeding the safety limit peak monitoring and cluster management, obtaining the power jump range exceeding the safety limit peak monitoring and cluster management results;

[0029] Using the voltage fluctuation range of the region, the harmonics and their components in the region, and the fault frequency of the power transmission lines in the region to perform impedance fluctuation monitoring and cluster management, and obtain impedance fluctuation monitoring and cluster management results;

[0030] Using the stability of the user-side power and the preset short-circuit capacity index to perform short-circuit capacity monitoring and cluster management, and obtaining short-circuit capacity monitoring and cluster management results;

[0031] Among them, the regional changes of the preset power supply system parameters include the preset power parameter change interval and the preset short-circuit capacity indicator, and the monitoring and clustering management results include the power jump range exceeding the safety limit peak monitoring and clustering management results, impedance fluctuation monitoring and clustering management results and the short-circuit capacity monitoring and clustering management results.

[0032] Further, the power jump range exceeds the safety limit peak monitoring and cluster management by using the fault frequency of the transmission line in the region and the preset power parameter change interval, and the power jump range exceeds the safety limit peak monitoring and cluster management results are obtained, including:

[0033] When the fault frequency of the transmission line in the area to which the power supply system parameter monitoring point belongs to any one of the power supply system parameter monitoring points trained by the edge computing gateway intelligent big data algorithm exceeds the preset power parameter change range, it is determined that the power jump range of the power supply system parameter monitoring point trained by the edge computing gateway intelligent big data algorithm exceeds the safety-limited peak value;

[0034] When the fault frequency of the transmission line in the region to which any of the power supply system parameter monitoring points of the load demand power data clustering management power supply system parameter monitoring points belongs exceeds the preset power parameter change interval, it is determined that the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have both jumped beyond the safety limit peak value;

[0035] When the fault frequency of the transmission line in the area to which the basic power data processing power supply system parameter monitoring point belongs exceeds the preset power parameter change interval, it is determined that the power,

[0036] The power of the load demand power data clustering management power supply system parameter monitoring point power and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point power have both jumped beyond the safety-limited peak value.

[0037] Further, the short-circuit capacity monitoring and cluster management are performed by utilizing the stability of the user-side power and the preset short-circuit capacity index to obtain the short-circuit capacity monitoring and cluster management results, including:

[0038] When the stability of the user-end power corresponding to the basic power data processing power supply system parameter monitoring point exceeds the preset short-circuit capacity index, it is determined whether the stability of the user-end power corresponding to the load demand power data clustering management power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it exceeds, it is determined that the monitoring data between the basic power data processing power supply system parameter monitoring point and the load demand power data clustering management power supply system parameter monitoring point has a short-circuit capacity abnormality. If it does not exceed, it is determined whether the stability of the user-end power corresponding to the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it does not exceed, it is determined that the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality. If it exceeds, it is determined that the monitoring data between the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality.

[0039] It can be seen from the above technical solutions that the present application has the following advantages:

[0040] In the present application, an intelligent power supply system data integrated management platform and method are provided, including: power supply system parameter monitoring point units in different time periods, which are used to locate and set the power supply system parameter monitoring points in the transmission line according to the power monitoring safety limit peak values ​​at different locations, obtain power supply system parameter monitoring points at different altitudes, and establish data transmission relationships for the power supply system parameter monitoring points at different altitudes, respectively. The power supply system parameter monitoring points at different altitudes include power supply system parameter monitoring points for basic power data processing, power supply system parameter monitoring points for load demand power data clustering management, and power supply system parameter monitoring points for edge computing gateway intelligent big data algorithm training; the power supply system data control center includes multiple information integration base stations, which are used The power supply system parameter regional change data of each power supply system parameter monitoring point in the region to which it belongs is obtained, and the power supply system parameter regional change data and the preset power supply system parameter regional change are used to carry out power consumption stability monitoring and cluster management of different power consumption customer groups to obtain the monitoring and cluster management results. The power supply system parameter regional change data include the voltage fluctuation range of the region to which it belongs, the harmonics and their components in the region to which it belongs, the fault frequency of the transmission line in the region to which it belongs, and the stability of the power supply at the user end; the power supply system parameter abnormal jump range unit is used to use the monitoring and cluster management results to issue different power supply system parameter abnormal jump range prompt information, thereby prompting the power department to adjust and optimize the power supply system parameters.

[0041] The present invention provides an intelligent power supply system data integrated management platform and method, which locates and sets the power supply system parameter monitoring points in the transmission line according to the safety-limited peak values ​​of power monitoring at different locations, so as to facilitate the management of the power supply system parameter monitoring points and the tracking of data, collect the regional change data of various power supply system parameters of the power supply system parameter monitoring points, and then perform power stability monitoring and cluster management of different power customer groups based on the regional change data of different power supply system parameters, and send power supply system parameter abnormal jump range information based on the monitoring and cluster management results, thereby ensuring the timeliness of power supply system parameter adjustment and optimization, timely and effective management of power supply system parameters, and ensuring the safety of different power customer groups. At the same time, the present invention proposes to use intelligent big data algorithms and wireless signal transmission units to transmit and process power supply system parameter data, thereby ensuring the effectiveness of data processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the examples of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the examples or the description of the prior art. Obviously, the drawings described below are only some examples of the present invention. For ordinary technicians in this field, these drawings can also be used to obtain other drawings without paying creative work.

[0043] Figure 1 A schematic diagram of the module composition of an intelligent power supply system data integrated management platform provided as an example for this application;

[0044] Figure 2 A flowchart of the steps of an intelligent power supply system data comprehensive management method provided as an example for this application. DETAILED DESCRIPTION

[0045] In order to enable people in the technical field to better understand the solution of the present application, the technical solution in the examples of the present application will be clearly and completely described below in conjunction with the drawings in the examples of the present application. Obviously, the examples described are only part of the examples of the present application, not all of the examples. Based on the examples of the present application, all other examples of the present application obtained without creative work by ordinary technicians in the field are within the scope of protection of the present application.

[0046] like Figure 1 As shown, the present application provides an example of an intelligent power supply system data integrated management platform, including: power supply system parameter monitoring point units in different time periods, a power supply system data control center and a power supply system parameter abnormal jump range unit.

[0047] The power supply system parameter monitoring point unit at different time periods is used to locate and set the power supply system parameter monitoring points in the transmission line according to the power monitoring safety limit peak values ​​at different locations, to obtain the power supply system parameter monitoring points at different altitudes, and to establish data transmission relationships for the power supply system parameter monitoring points at different altitudes. The power supply system parameter monitoring points at different altitudes include the basic power data processing power supply system parameter monitoring points, the load demand power data clustering management power supply system parameter monitoring points and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring points.

[0048] Preferably, the power supply system parameter monitoring points are positioned and set according to the safety limited peak values ​​of power monitoring at different locations to facilitate the monitoring and management of the power supply system parameters. Among the power supply system parameter monitoring points at different altitudes, the basic power data processing power supply system parameter monitoring point is connected to the load demand power data clustering management power supply system parameter monitoring point, and the load demand power data clustering management power supply system parameter monitoring point is further connected to the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point; data transmission relationships are established for the power supply system parameter monitoring points at different altitudes to facilitate tracing of faults to the root power supply system parameter monitoring point.

[0049] The power supply system data control center includes multiple information integration base stations, which are used to obtain the regional change data of the power supply system parameters of each power supply system parameter monitoring point in the region, and use the regional change data of the power supply system parameters and the preset regional changes of the power supply system parameters to monitor the power consumption stability and cluster management of different power customer groups to obtain the monitoring and cluster management results. The regional change data of the power supply system parameters include the voltage fluctuation range of the region, the harmonics and their components in the region, the fault frequency of the transmission lines in the region and the stability of the power at the user end.

[0050] Preferably, the information integration base station is used to collect regional changes in power supply system parameters, and the number is the same as the number of power supply system parameter monitoring points. The collected regional change data of power supply system parameters mainly include the voltage fluctuation range of the region, the harmonics and their components of the region, the fault frequency of the transmission lines in the region, and the stability of the power supply at the user end. These data can be concentrated in the monitoring background, and can also be dispersed in the monitoring display end, so as to facilitate the viewing of changes in power supply system parameters. The regional change data of different power supply system parameters can reflect different power supply system parameters alone or in combination, so as to determine whether the power supply system parameters are normal.

[0051] Furthermore, the preset power supply system parameter area changes include preset power parameter change intervals and preset short-circuit capacity indicators, and the monitoring and clustering management results include power jump range exceeding the safety limit peak monitoring and clustering management results, impedance fluctuation monitoring and clustering management results, and short-circuit capacity monitoring and clustering management results. The power supply system data control center specifically includes:

[0052] The power supply system parameter regional change module is used to obtain the power supply system parameter regional change data of each power supply system parameter monitoring point in the region. The power supply system parameter regional change data includes the voltage fluctuation range in the region, the harmonics and their components in the region, the fault frequency of the transmission line in the region, and the stability of the power supply at the user end;

[0053] The power monitoring and cluster management module is used to monitor and manage the peak value of power jump range exceeding the safety limit by using the fault frequency of the transmission line in the region and the preset power parameter change interval, and obtain the monitoring and cluster management result of the peak value of power jump range exceeding the safety limit;

[0054] The impedance monitoring and cluster management module is used to perform impedance fluctuation monitoring and cluster management using the voltage fluctuation range of the region, the harmonics and their components of the region, and the fault frequency of the transmission lines in the region to obtain impedance fluctuation monitoring and cluster management results;

[0055] The short-circuit capacity monitoring and cluster management module is used to perform short-circuit capacity monitoring and cluster management by utilizing the stability of user-side power and preset short-circuit capacity indicators to obtain short-circuit capacity monitoring and cluster management results.

[0056] Preferably, the power monitoring and clustering management module is specifically used for: when the fault frequency of the transmission line in the area to which any one of the power supply system parameter monitoring points trained by the edge computing gateway intelligent big data algorithm belongs exceeds the preset power parameter change interval, it is determined that the power jump range of the power supply system parameter monitoring point trained by the edge computing gateway intelligent big data algorithm exceeds the safety limit peak; when the fault frequency of the transmission line in the area to which any one of the power supply system parameter monitoring points trained by the load demand power data clustering management power supply system parameter monitoring points belongs exceeds the preset power parameter change interval, it is determined that the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have both jumped beyond the safety limit peak; when the fault frequency of the transmission line in the area to which the basic power data processing power supply system parameter monitoring point belongs exceeds the preset power parameter change interval, it is determined that the power of the basic power data processing power supply system parameter monitoring point, the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have all jumped beyond the safety limit peak.

[0057] Preferably, the short-circuit capacity monitoring and clustering management module is specifically used for: when the stability of the user-end power corresponding to the basic power data processing power supply system parameter monitoring point exceeds the preset short-circuit capacity index, it is judged whether the stability of the user-end power corresponding to the load demand power data clustering management power supply system parameter monitoring point exceeds the preset short-circuit capacity index; if it exceeds, it is judged that the monitoring data between the basic power data processing power supply system parameter monitoring point and the load demand power data clustering management power supply system parameter monitoring point has a short-circuit capacity abnormality; if it does not exceed, it is judged whether the stability of the user-end power corresponding to the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point exceeds the preset short-circuit capacity index; if it does not exceed, it is judged that the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality; if it exceeds, it is judged that the monitoring data between the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality. It can be understood that the judgment that the stability of the power at the user end exceeds the preset short-circuit capacity index is that if the stability of the power at the user end of at least one power supply system parameter monitoring point among the power supply system parameter monitoring points at different altitudes exceeds the preset short-circuit capacity index, the short-circuit capacity judgment is successful. The short-circuit capacity is judged to be successful if the stability of the power at the user end of several power supply system parameter monitoring points at different altitudes exceeds the preset short-circuit capacity index. This is not limited here and can be determined based on actual conditions.

[0058] The power supply system parameter abnormal jump range unit is used to use the monitoring and cluster management results to issue different power supply system parameter abnormal jump range prompt information, thereby prompting the power department to adjust and optimize the power supply system parameters.

[0059] Preferably, through the monitoring process of the above-mentioned power supply system data control center, it can be found that the obtained monitoring and clustering management results include short-circuit capacity monitoring and clustering management results, impedance fluctuation monitoring and clustering management results, power jump range exceeding the safety limit peak monitoring and clustering management results and some other fault monitoring and clustering management results. Different power supply system parameter abnormal jump range prompt information can be provided for different monitoring and clustering management results.

[0060] Furthermore, it also includes: a wireless signal transmission unit; used to adopt wireless signal transmission technology to realize wireless signal transmission between the power supply system parameter abnormal jump range unit and the edge computing gateway and distributed file system.

[0061] The distributed file system stores the power supply system parameter data in a centralized manner. Through the distributed file system, the required power supply system parameter data can be quickly located and obtained according to different requirements and conditions, which greatly improves the utilization efficiency of the power supply system parameter data.

[0062] Distributed file systems also have the function of data analysis and decision-making. Distributed file systems can discover patterns and trends through data analysis functions and algorithms. The emergence of distributed file systems has greatly improved the value of data utilization and the accuracy of decision-making.

[0063] like Figure 2 As shown, the present application provides an example of an intelligent power supply system data integrated management method, including:

[0064] Step S100, positioning and setting the power supply system parameter monitoring points in the transmission line according to the power monitoring safety limit peak values ​​at different locations to obtain the power supply system parameter monitoring points at different altitudes;

[0065] Step S200, establishing a data transmission relationship for power supply system parameter monitoring points at different altitudes, wherein the power supply system parameter monitoring points at different altitudes include a basic power data processing power supply system parameter monitoring point, a load demand power data clustering management power supply system parameter monitoring point, and an edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point;

[0066] Step S300, the region to which the power supply system parameter belongs obtains the change data of the region to which the power supply system parameter monitoring point belongs;

[0067] Step S400, using the regional change data of power supply system parameters and the preset regional change data of power supply system parameters to perform power consumption stability monitoring and cluster management of different power consumption customer groups, and obtain monitoring and cluster management results, the regional change data of power supply system parameters includes the voltage fluctuation range of the region, the harmonics and their components of the region, the fault frequency of the transmission line in the region, and the stability of the power supply at the user end;

[0068] Step S500: Using the monitoring and cluster management results, different power supply system parameter abnormal jump range prompt information is issued, thereby prompting the power department to adjust and optimize the power supply system parameters.

[0069] Furthermore, the region obtains the regional change data of the power supply system parameters of each power supply system parameter monitoring point, and uses the regional change data of the power supply system parameters and the preset regional changes of the power supply system parameters to perform power consumption stability monitoring and cluster management for different power consumption customer groups, and obtains monitoring and cluster management results, including:

[0070] The region obtains the regional change data of the power supply system parameters of each power supply system parameter monitoring point, and the regional change data of the power supply system parameters include the voltage fluctuation range of the region, the harmonics and their components of the region, the fault frequency of the transmission line in the region and the stability of the power at the user end;

[0071] The fault frequency of the transmission line in the region and the preset power parameter change interval are used to monitor and manage the peak value of the power jump range exceeding the safety limit, and the monitoring and clustering management results of the power jump range exceeding the safety limit peak value are obtained;

[0072] The impedance fluctuation monitoring and clustering management are performed using the voltage fluctuation range of the region, the harmonics and their components of the region, and the fault frequency of the transmission lines in the region to obtain the impedance fluctuation monitoring and clustering management results;

[0073] The short-circuit capacity monitoring and cluster management are performed by using the user-side power stability and preset short-circuit capacity indicators to obtain the short-circuit capacity monitoring and cluster management results;

[0074] Among them, the regional changes of preset power supply system parameters include preset power parameter change intervals and preset short-circuit capacity indicators, and the monitoring and clustering management results include power jump range exceeding safety limit peak monitoring and clustering management results, impedance fluctuation monitoring and clustering management results and short-circuit capacity monitoring and clustering management results.

[0075] Furthermore, the fault frequency of the transmission line in the region and the preset power parameter change interval are used to perform power jump range exceeding the safety limit peak monitoring and cluster management, and the power jump range exceeding the safety limit peak monitoring and cluster management results are obtained, including:

[0076] When the fault frequency of the transmission line in the area to which any power supply system parameter monitoring point in the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point belongs exceeds the preset power parameter change range, it is determined that the power jump range of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point exceeds the safety limit peak value;

[0077] When the fault frequency of the transmission line in the area to which any of the power supply system parameter monitoring points of the load demand power data clustering management power supply system parameter monitoring points belongs exceeds the preset power parameter change range, it is determined that the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have both jumped beyond the safety limit peak value;

[0078] When the fault frequency of the transmission line in the area to which the basic power data processing power supply system parameter monitoring point belongs exceeds the preset power parameter change range, it is determined that the power of the basic power data processing power supply system parameter monitoring point, the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have all jumped beyond the safety-limited peak value.

[0079] Furthermore, short-circuit capacity monitoring and cluster management are performed using the stability of user-side power and preset short-circuit capacity indicators to obtain short-circuit capacity monitoring and cluster management results, including:

[0080] When the stability of the user-end power corresponding to the basic power data processing power supply system parameter monitoring point exceeds the preset short-circuit capacity index, it is judged whether the stability of the user-end power corresponding to the load demand power data clustering management power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it exceeds, it is judged that the monitoring data between the basic power data processing power supply system parameter monitoring point and the load demand power data clustering management power supply system parameter monitoring point has a short-circuit capacity abnormality. If it does not exceed, it is judged whether the stability of the user-end power corresponding to the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it does not exceed, it is judged that the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality. If it exceeds, it is judged that the monitoring data between the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality.

[0081] In addition, each functional unit in each example of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0082] As described above, the above examples are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above examples, a person of ordinary skill in the art should understand that the technical solutions recorded in the above examples can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the examples of the present application.

Claims

1. An intelligent power supply system data integrated management platform, characterized in that: include: Power supply system parameter monitoring point units at different time periods, power supply system data control center, power supply system parameter abnormal jump range unit, wireless signal transmission unit; The power supply system parameter monitoring point unit for different time periods is used to locate and set the power supply system parameter monitoring points in the transmission line according to the power monitoring safety limit peak value at different locations, obtain the power supply system parameter monitoring points at different altitudes, and establish data transmission relationships for the power supply system parameter monitoring points at different altitudes, respectively. The power supply system parameter monitoring points at different altitudes include the basic power data processing power supply system parameter monitoring point, the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point; The power supply system data control center includes a plurality of information integration base stations, which are used to obtain the regional change data of the power supply system parameters of each power supply system parameter monitoring point in the region, and use the regional change data of the power supply system parameters and the preset regional change data of the power supply system parameters to perform power consumption stability monitoring and cluster management of different power consumption customer groups to obtain monitoring and cluster management results. The regional change data of the power supply system parameters include the voltage fluctuation range of the region, the harmonics and their components in the region, the fault frequency of the transmission lines in the region, and the stability of the power at the user end; The power supply system parameter abnormal jump range unit is used to use the monitoring and cluster management results to issue different power supply system parameter abnormal jump range prompt information, thereby prompting the power department to adjust and optimize the power supply system parameters; The wireless signal transmission unit is used for wireless signal transmission between the power supply system parameter abnormal jump range unit and the edge computing gateway and distributed file system.

2. The intelligent power supply system data integrated management platform according to claim 1 is characterized in that: The area change of the preset power supply system parameter includes the preset power parameter change interval and the preset short-circuit capacity index, the monitoring and clustering management results include the power jump range exceeding the safety limit peak monitoring and clustering management results, the impedance fluctuation monitoring and clustering management results and the short-circuit capacity monitoring and clustering management results, and the power supply system data control center specifically includes: The power supply system parameter regional change module is used to obtain the power supply system parameter regional change data of each power supply system parameter monitoring point in the region, and the power supply system parameter regional change data includes the voltage fluctuation range in the region, the harmonics and their components in the region, the fault frequency of the transmission line in the region, and the stability of the power supply at the user end; A power monitoring and cluster management module is used to monitor and manage the peak value of the power jump range exceeding the safety limit by using the fault frequency of the transmission line in the region and the preset power parameter change interval, and obtain the monitoring and cluster management result of the power jump range exceeding the safety limit peak value; An impedance monitoring and cluster management module, used to perform impedance fluctuation monitoring and cluster management using the voltage fluctuation range of the region, the harmonics and their components of the region, and the fault frequency of the transmission line in the region, to obtain impedance fluctuation monitoring and cluster management results; The short-circuit capacity monitoring and cluster management module is used to perform short-circuit capacity monitoring and cluster management by utilizing the stability of the user-side power and the preset short-circuit capacity index to obtain the short-circuit capacity monitoring and cluster management results.

3. The intelligent power supply system data integrated management platform according to claim 2 is characterized in that: The power monitoring and cluster management module is specifically used for: When the fault frequency of the transmission line in the area to which the power supply system parameter monitoring point belongs to any one of the power supply system parameter monitoring points trained by the edge computing gateway intelligent big data algorithm exceeds the preset power parameter change range, it is determined that the power jump range of the power supply system parameter monitoring point trained by the edge computing gateway intelligent big data algorithm exceeds the safety-limited peak value; When the fault frequency of the transmission line in the region to which any of the power supply system parameter monitoring points of the load demand power data clustering management power supply system parameter monitoring points belongs exceeds the preset power parameter change interval, it is determined that the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have both jumped beyond the safety limit peak value; When the fault frequency of the transmission line in the area to which the basic power data processing power supply system parameter monitoring point belongs exceeds the preset power parameter change range, it is determined that the power of the basic power data processing power supply system parameter monitoring point, the power of the load demand power data clustering management power supply system parameter monitoring point and the power of the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point have all jumped beyond the safety-limited peak value.

4. The intelligent power supply system data integrated management platform according to claim 2 is characterized in that: The short-circuit capacity monitoring and cluster management module is specifically used for: When the stability of the user-end power corresponding to the basic power data processing power supply system parameter monitoring point exceeds the preset short-circuit capacity index, it is determined whether the stability of the user-end power corresponding to the load demand power data clustering management power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it exceeds, it is determined that the monitoring data between the basic power data processing power supply system parameter monitoring point and the load demand power data clustering management power supply system parameter monitoring point has a short-circuit capacity abnormality. If it does not exceed, it is determined whether the stability of the user-end power corresponding to the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point exceeds the preset short-circuit capacity index. If it does not exceed, it is determined that the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality. If it exceeds, it is determined that the monitoring data between the load demand power data clustering management power supply system parameter monitoring point and the edge computing gateway intelligent big data algorithm training power supply system parameter monitoring point has a short-circuit capacity abnormality.

5. An intelligent power supply system data integrated management method, characterized in that: include: The power supply system parameter monitoring points in the transmission line are located and set according to the power monitoring safety limit peak values ​​at different locations to obtain the power supply system parameter monitoring points at different altitudes; Establishing data transmission relationships for power supply system parameter monitoring points at different altitudes, wherein the power supply system parameter monitoring points at different altitudes include basic power data processing power supply system parameter monitoring points, load demand power data clustering management power supply system parameter monitoring points, and edge computing gateway intelligent big data algorithm training power supply system parameter monitoring points; The region obtains the regional change data of the power supply system parameters of each power supply system parameter monitoring point; uses the regional change data of the power supply system parameters and the preset regional changes of the power supply system parameters to perform power stability monitoring and cluster management of different power customer groups, and obtains monitoring and cluster management results. The regional change data of the power supply system parameters include the voltage fluctuation range of the region, the harmonics and their components in the region, the fault frequency of the transmission lines in the region, and the stability of the power at the user end; The monitoring and cluster management results are used to issue different power supply system parameter abnormal jump range prompt information, thereby prompting the power department to adjust and optimize the power supply system parameters.

6. The method for comprehensive management of data of an intelligent power supply system according to claim 5 is characterized in that: The region obtains the power supply system parameter region change data of each power supply system parameter monitoring point, and uses the power supply system parameter region change data and the preset power supply system parameter region change to perform power consumption stability monitoring and cluster management of different power consumption customer groups, and obtains monitoring and cluster management results, including: The region obtains the regional change data of the power supply system parameters of each power supply system parameter monitoring point, wherein the regional change data of the power supply system parameters includes the voltage fluctuation range of the region, the harmonics and their components of the region, the fault frequency of the transmission line in the region, and the stability of the power at the user end; Using the fault frequency of the transmission line in the region and the preset power parameter change interval to perform power jump range exceeding the safety limit peak monitoring and cluster management, obtaining the power jump range exceeding the safety limit peak monitoring and cluster management results; Using the voltage fluctuation range of the region, the harmonics and their components in the region, and the fault frequency of the power transmission lines in the region to perform impedance fluctuation monitoring and cluster management, and obtain impedance fluctuation monitoring and cluster management results; Short-circuit capacity monitoring and cluster management are performed using the stability of the user-side power and the preset short-circuit capacity index to obtain short-circuit capacity monitoring and cluster management results.

7. The method for comprehensive management of data of an intelligent power supply system according to claim 5 is characterized in that: The regional changes of the preset power supply system parameters include the preset power parameter change interval and the preset short-circuit capacity indicator, and the monitoring and clustering management results include the power jump range exceeding the safety limit peak monitoring and clustering management results, impedance fluctuation monitoring and clustering management results and the short-circuit capacity monitoring and clustering management results.

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