Power distribution network intelligent terminal management method and management system based on interoperation decision

Abstract

The invention discloses a power distribution network intelligent terminal management method and management system based on interoperation decision, and the method comprises the steps: collecting the data of a power distribution network intelligent terminal in a monitoring range through a multi-mode power information sensor platform, and building a power optimization and regulation parameter cloud through the data of the power distribution network intelligent terminal in the monitoring range, the method comprises the following steps: establishing a power distribution network interoperation decision model, collecting data of a supervisory power distribution network intelligent terminal in a set unit time, forming a supervisory power distribution network intelligent terminal edge calculation gateway, performing power distribution network interoperation decision supervision according to a power supply demand, and establishing a power distribution network intelligent terminal power supply topological structure model; and a power distribution network intelligent terminal power loss fluctuation model for performing power distribution network interoperation decision supervision according to the power supply demand is determined, parameter analysis and optimization are performed in combination with the power distribution network intelligent terminal power loss fluctuation model after unit time optimization, and the load fluctuation and line fault information management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of distribution network intelligent terminal management, and in particular to a distribution network intelligent terminal management method and management system based on interoperability decision-making. Background Art

[0002] In the process of intelligent upgrading of modern distribution networks, an intelligent terminal management method based on interoperable decision-making has emerged. This method aims to achieve real-time monitoring, analysis and optimization of the operating status of the distribution network by integrating various intelligent terminal devices, thereby improving the operating efficiency and reliability of the power grid. By integrating devices from different manufacturers and different technical platforms, the distribution network can achieve data interconnection and dynamically adjust the load distribution, fault handling and equipment maintenance of the power grid based on real-time data feedback. However, this method faces many challenges in practical applications, especially in information collection and parameter optimization.

[0003] The current intelligent terminal management methods for distribution networks still face some technical challenges, among which the lack of a multimodal power information sensor platform for comprehensive data collection is an important issue. Multimodal sensors can simultaneously collect multiple types of data such as current, voltage, frequency, temperature, humidity, etc., which are essential for health monitoring, load forecasting, and fault diagnosis of distribution networks. However, current intelligent management systems for distribution networks often rely on a single type of sensor, resulting in insufficient dimensions and depth of data collection. This limitation makes it impossible for the system to fully monitor various key parameters of the power grid, especially when complex load fluctuations and faults occur, and it is impossible to capture all abnormal information in a timely manner, which in turn affects the accuracy and response speed of decision-making.

[0004] In addition, decision errors in load fluctuations and line fault parameters are also important shortcomings faced by the system. The load of the distribution network is usually affected by multiple factors, including peak electricity consumption, weather changes, and equipment failures. These fluctuations increase the complexity of load forecasting. When dealing with these dynamic changes, current management methods may lead to decision errors because they fail to take into account all possible disturbance factors or fail to obtain sufficiently accurate data in real time. For example, prediction deviations of load fluctuations may lead to uneven distribution of power resources, causing overload or power waste. Similarly, when a line fault occurs, due to the incompleteness of sensor data and the limitations of the analysis algorithm, the specific location and nature of the fault may not be accurately identified, thereby delaying the fault isolation and recovery time, affecting the safety and stability of the power grid. Summary of the invention

[0005] In order to overcome the shortcomings and deficiencies of the prior art, the present application provides a distribution network intelligent terminal management method and management system based on interoperability decision-making.

[0006] In a first aspect, the present application provides a distribution network intelligent terminal management method based on interoperability decision-making, the method comprising:

[0007] The multimodal power information sensor platform is used to collect data from intelligent terminals of the distribution network within the monitoring range, and the data from intelligent terminals of the distribution network within the monitoring range are used to establish a power optimization and control parameter cloud, wherein the power optimization and control parameter cloud includes power optimization and control parameters for different time periods;

[0008] Statistics and analysis are made on the variation range of each power optimization and regulation parameter in the power optimization and regulation parameters in different time periods, and a distribution network interoperability decision model is established; data collection units for the supervision distribution network intelligent terminals within a set unit time are collected to form a supervision distribution network intelligent terminal data integration unit, wherein the supervision distribution network intelligent terminal data collection unit includes supervision of distribution network interoperability decision-making based on power supply demand;

[0009] A distribution network intelligent terminal power supply topology model is established by using the distribution network interoperability decision-making supervision based on power supply demand, and a distribution network intelligent terminal power loss fluctuation model is determined for the distribution network interoperability decision-making supervision based on power supply demand in combination with the distribution network interoperability decision-making model;

[0010] The edge computing gateway is used to count and store the situation of the intelligent terminals of the distribution network at a certain time, and the situation of the intelligent terminals of the distribution network at a certain time is used to optimize the power loss fluctuation model of the intelligent terminals of the distribution network at a certain time;

[0011] Periodic integrity data collection is performed on the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, and an information gateway for the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing is established; parameter analysis and optimization are performed using the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing information gateway in combination with the distribution network intelligent terminal power loss fluctuation model optimized per unit time.

[0012] On the other hand, the present application also provides a distribution network intelligent terminal management system based on interoperability decision-making, the system comprising:

[0013] A power optimization and control parameter cloud unit, which is used to collect data from intelligent terminals of the distribution network within the monitoring range using a multimodal power information sensor platform, and to establish a power optimization and control parameter cloud using the data from intelligent terminals of the distribution network within the monitoring range, wherein the power optimization and control parameter cloud includes power optimization and control parameters for different time periods;

[0014] A distribution network interoperability decision-making model building unit, the distribution network interoperability decision-making model building unit is used to count and analyze the variation range of each power optimization and regulation parameter in the power optimization and regulation parameters in different time periods, and establish a distribution network interoperability decision model; an equipment operation, power grid topology and scheduling, communication and data sharing information collection unit, the equipment operation, power grid topology and scheduling, communication and data sharing information collection unit is used to collect data from a distribution network supervision intelligent terminal data collection unit within a set unit time to form a distribution network supervision intelligent terminal data integration unit, the distribution network supervision intelligent terminal data collection unit includes distribution network interoperability decision supervision based on power supply demand;

[0015] A power loss fluctuation model establishment unit, the power loss fluctuation model establishment unit is used to establish a power supply topology model of a distribution network intelligent terminal by using the distribution network interoperability decision-making supervision based on power supply demand, and determine the distribution network intelligent terminal power loss fluctuation model for the distribution network interoperability decision-making supervision based on power supply demand in combination with the distribution network interoperability decision-making model;

[0016] A model unit time optimization unit, the model unit time optimization unit is used to use the edge computing gateway to count and store the distribution network intelligent terminal situation, and use the distribution network intelligent terminal situation per unit time to optimize the power loss fluctuation model of the distribution network intelligent terminal per unit time;

[0017] An information gateway building unit, the information gateway building unit is used to collect periodic integrity data on the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, and to build an information gateway for the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing;

[0018] A parameter analysis and optimization unit, wherein the parameter analysis and optimization unit is used to utilize the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing information gateway, combined with the distribution network intelligent terminal power loss fluctuation model optimized per unit time to perform parameter analysis and optimization.

[0019] In summary, the distribution network intelligent terminal management method and management system based on interoperability decision-making provided by this application have the following technical effects:

[0020] 1. This application uses a multimodal power information sensor platform to collect data from intelligent terminals in the monitoring range of the distribution network, and uses the data from intelligent terminals in the monitoring range to establish a power optimization and control parameter cloud, establish a distribution network interoperability decision model, collect data from the intelligent terminal data collection unit of the distribution network supervision within a set unit time, and form a data integration unit for the intelligent terminal of the distribution network supervision. According to the distribution network interoperability decision supervision based on the power supply demand, the distribution network intelligent terminal power supply topology structure model is established, and combined with the distribution network interoperability decision model, the distribution network intelligent terminal power loss fluctuation model for the distribution network interoperability decision supervision based on the power supply demand is determined, and the distribution network intelligent terminal power loss fluctuation model is optimized per unit time according to the distribution network intelligent terminal situation per unit time. According to the distribution network interoperability decision equipment operation, power grid topology and scheduling, communication and data sharing information gateway, the distribution network intelligent terminal power loss fluctuation model optimized per unit time is analyzed and optimized. The goal of intelligent central distribution network interoperability decision making is achieved. This interoperability ensures that the distribution network can perform efficient data exchange and real-time control in various environments, and optimizes the key tasks of the distribution network such as load management, power scheduling and fault detection. By integrating data from different devices, the system can monitor the state of the power grid in real time and dynamically adjust the operation strategy, greatly improving the operation efficiency and resource utilization of the power grid.

[0021] 2. This application establishes a cloud of load fluctuations and line fault information at different altitudes, collects the data collection units of the intelligent terminal for supervising the load fluctuations and line faults at different altitudes in the cloud of load fluctuations and line fault information at different altitudes, and forms a data integration unit for supervising the intelligent terminal for supervising the distribution network interoperability decision at different altitudes, and uses the interoperability decision model of the distribution network where the interoperability decision of the distribution network does not meet the standard and the power supply topology structure model of the intelligent terminal for supervising the distribution network where the interoperability decision of the distribution network does not meet the standard to generate the power loss fluctuation model of the intelligent terminal for supervising the distribution network where the interoperability decision of the distribution network does not meet the standard, and uses the power loss fluctuation model of the intelligent terminal for supervising the distribution network where the interoperability decision of the distribution network does not meet the standard to determine the data collection unit for supervising the intelligent terminal for supervising the distribution network where the interoperability decision of the distribution network does not meet the standard. By obtaining the resident data collection unit for supervising the intelligent terminal for supervising the distribution network and the data collection unit for supervising the intelligent terminal for supervising the distribution network where the interoperability decision of the distribution network does not meet the standard, the data integration unit for supervising the intelligent terminal for supervising the distribution network can be obtained, which achieves the technical effect of ensuring the comprehensiveness of the data used for load fluctuations and line faults and improving the accuracy of parameter analysis and optimization. This management method improves the overall operation efficiency of the distribution network through data-driven optimization decisions. The present invention not only improves the stability and load bearing capacity of the power grid, but also improves the intelligence level of the power grid, thereby effectively improving the economic and social benefits of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0023] Figure 1 It is a schematic diagram of the operation flow of the system of the present invention;

[0024] Figure 2 It is a schematic diagram of the structure of the system unit of the present invention. DETAILED DESCRIPTION

[0025] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other. The present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] like Figure 1 As shown, the present application provides a distribution network intelligent terminal management method based on interoperability decision-making, the method comprising:

[0027] Step S101: using a multimodal power information sensor platform to collect data from intelligent terminals of the distribution network within the monitoring range, and using the data from intelligent terminals of the distribution network within the monitoring range to establish a power optimization and regulation parameter cloud, wherein the power optimization and regulation parameter cloud includes power optimization and regulation parameters for different time periods;

[0028] Step S102: Counting and analyzing the variation range of each power optimization and regulation parameter in the power optimization and regulation parameters in different time periods, and establishing a distribution network interoperability decision model;

[0029] Specifically, the multimodal power information sensor platform is used to collect the distribution network smart terminal conditions within the monitoring range in this area to obtain the distribution network smart terminal data within the monitoring range. The distribution network smart terminal data within the monitoring range is information that can reflect the geographical location, time, etc. of the load fluctuations and line failures within the monitoring range. The establishment of the power optimization and regulation parameter cloud is a collection obtained by classifying the geographical locations of the load fluctuations and line failures within the monitoring range using the distribution network smart terminal data within the monitoring range. The power optimization and regulation parameters refer to the geographical locations of the load fluctuations and line failures within the monitoring range.

[0030] Specifically, by obtaining the total load fluctuation, line fault amount and total load fluctuation, line fault number of each power optimization and regulation parameter within a period of time, and setting a preset load fluctuation and line fault amount, the load fluctuation and line fault amount below the preset load fluctuation and line fault amount will be screened out from the data, and then the variation range of each power optimization and regulation parameter is obtained by calculation. The preset load fluctuation and line fault amount are set by the staff and are not restricted here. The distribution network interoperability decision model is established based on the power optimization, regulation parameters and the variation range, which can intuitively reflect the load fluctuation and line fault amount of each power optimization and regulation parameter at a single time. By obtaining the distribution network intelligent terminal data and variation range, the goal of mastering the distribution network intelligent terminal situation within the monitoring range is achieved, and the technical effect of providing basic data for subsequent management is achieved.

[0031] Step S103: collecting data from the distribution network intelligent terminal data collection unit within a set unit time to form a distribution network intelligent terminal data integration unit, wherein the distribution network intelligent terminal data collection unit includes distribution network interoperability decision supervision based on power supply demand;

[0032] Specifically, a cloud of information on load fluctuations and line faults at different altitudes is established, wherein the cloud of information on load fluctuations and line faults at different altitudes includes load fluctuations and line faults at different altitudes under various climatic environments; data collection units for supervising intelligent terminals of distribution network for collecting load fluctuations and line faults at different altitudes in the cloud of information on load fluctuations and line faults at different altitudes are used to form data integration units for supervising intelligent terminals of distribution network interoperability decisions at different altitudes; information on distribution network interoperability decisions not meeting standards is obtained, and data collection units for supervising intelligent terminals of distribution network for supervising intelligent terminals of distribution network interoperability decisions not meeting standards are generated using the information on distribution network interoperability decisions not meeting standards; data integration units for supervising intelligent terminals of distribution network interoperability decisions at different altitudes and data collection units for supervising intelligent terminals of distribution network for supervising intelligent terminals of distribution network interoperability decisions not meeting standards are used to form the data integration unit for supervising intelligent terminals of distribution network.

[0033] Furthermore, the distribution network intelligent terminal data acquisition unit for supervising the non-compliance of distribution network interoperability decision according to the distribution network interoperability decision non-compliance information further includes: clustering the distribution network intelligent terminal data in the monitoring range based on load fluctuations and line fault geographical locations to obtain clustering results, the clustering results including transformer distribution network intelligent terminal data, line distribution network intelligent terminal data, and user-end distribution network intelligent terminal data; using the distribution network interoperability decision non-compliance information to obtain the voltage and safety margin of the distribution network interoperability decision non-compliance; judging whether the non-compliance of the distribution network interoperability decision is line voltage abnormality through the voltage of the distribution network interoperability decision non-compliance; when the non-compliance of the distribution network interoperability decision is line voltage abnormality, determining the transformer distribution network intelligent terminal data or the line distribution network intelligent terminal data as the distribution network intelligent terminal data of the distribution network interoperability decision non-compliance through the safety margin of the distribution network interoperability decision non-compliance; when the non-compliance of the distribution network interoperability decision is the maximum safety margin exceeding a threshold, determining the user-end distribution network intelligent terminal data as the distribution network intelligent terminal data of the distribution network interoperability decision non-compliance.

[0034] Furthermore, after the distribution network intelligent terminal data whose distribution network interoperability decision fails to meet the standards is determined, it also includes: using the distribution network interoperability decision failure to meet the standards to supervise the distribution network intelligent terminal data collection unit, to establish the distribution network interoperability decision model whose distribution network interoperability decision fails to meet the standards; using the distribution network intelligent terminal control time whose distribution network interoperability decision fails to meet the standards to establish the distribution network intelligent terminal power supply topology structure model whose distribution network interoperability decision fails to meet the standards; using the distribution network interoperability decision model whose distribution network interoperability decision fails to meet the standards and the distribution network intelligent terminal power supply topology structure model whose distribution network interoperability decision fails to meet the standards, to generate the distribution network intelligent terminal power loss fluctuation model whose distribution network interoperability decision fails to meet the standards; using the distribution network interoperability decision model whose distribution network interoperability decision fails to meet the standards and the distribution network intelligent terminal power supply topology structure model; determining the distribution network intelligent terminal data collection unit whose distribution network interoperability decision fails to meet the standards.

[0035] Specifically, when load fluctuations and line failures occur, advance supervision is required to avoid the accumulation of load fluctuations and line failures. By presetting a period, the data collection unit of the intelligent terminal of the distribution network supervision within the set unit time is collected. The set unit time is a time period set by the staff, and there is no restriction here. The intelligent terminal data integration unit of the distribution network supervision is a collection of information reflecting the advance supervision of load fluctuations and line failures.

[0036] Specifically, the load fluctuation and line fault information cloud at different altitudes refers to the load fluctuation and line fault information of frequent load fluctuations, line faults in the water supply area, and the data integration unit for supervising the distribution network intelligent terminal of the distribution network interoperability decision at different altitudes is obtained, and the load fluctuation and line fault at different altitudes can be obtained. The regular distribution network intelligent terminal situation information based on its own situation and the control time of the living distribution network intelligent terminal has been formed. The distribution network interoperability decision failure information is due to various reasons. The load fluctuation and line fault information of temporary load fluctuations, line faults in the water supply area, including the identity information of the distribution network interoperability decision failure, power optimization, control parameters, etc. The distribution network interoperability decision failure supervision distribution network intelligent terminal data acquisition unit is generated through the distribution network interoperability decision failure information, including distribution network intelligent terminal time, load fluctuations, line fault quantity and other information.

[0037] Specifically, the distribution network intelligent terminal data that does not meet the distribution network interoperability decision standard is determined based on the distribution network intelligent terminal data within the monitoring range obtained from the multimodal power information sensor platform. The distribution network intelligent terminal data within the monitoring range is first clustered according to location and time. Thus, the industrial distribution network interoperability decision model is analyzed and determined using the transformer distribution network intelligent terminal data, the residential distribution network interoperability decision model is analyzed and determined using the line distribution network intelligent terminal data, and the user-end distribution network intelligent terminal data is analyzed and determined using the user-end distribution network intelligent terminal data. Furthermore, the identity information of the distribution network interoperability decision that does not meet the standard is extracted using the distribution network interoperability decision failure information, and the distribution network intelligent terminal data that does not meet the distribution network interoperability decision standard is determined, that is, the information on power optimization, control parameters, load fluctuation, and line fault quantity that does not meet the distribution network interoperability decision standard is obtained.

[0038] Specifically, through the distribution network interoperability decision-making failure supervision distribution network intelligent terminal data collection unit, the distribution network interoperability decision model of the distribution network interoperability decision that fails to meet the standard can be obtained, and then the distribution network intelligent terminal control time of the temporary book can be obtained. The distribution network intelligent terminal control time is the time when the distribution network interoperability decision fails to meet the standard, causing load fluctuations and line failures, and the corresponding power optimization and control parameters, thereby establishing the distribution network intelligent terminal power supply topology model of the distribution network interoperability decision that fails to meet the standard, combining the distribution network interoperability decision model of the distribution network interoperability decision that fails to meet the standard to obtain the distribution network intelligent terminal power loss fluctuation model of the distribution network interoperability decision that fails to meet the standard, and determining the distribution network intelligent terminal data collection unit for supervising the distribution network interoperability decision that fails to meet the standard.

[0039] As a result, it is possible to predict and judge the distribution network intelligent terminal data that do not meet the distribution network interoperability decision-making standards based on the distribution network intelligent terminal data within the monitoring range, thereby achieving the technical effect of ensuring the comprehensiveness of data on load fluctuations and line faults and improving the accuracy of parameter analysis and optimization.

[0040] Step S104: establishing a distribution network intelligent terminal power supply topology model by using the distribution network interoperability decision-making supervision based on power supply demand, and determining a distribution network intelligent terminal power loss fluctuation model for the distribution network interoperability decision-making supervision based on power supply demand in combination with the distribution network interoperability decision-making model;

[0041] Specifically, by obtaining the situation of distribution network interoperability decision-making supervision based on power supply demand from the distribution network intelligent terminal data integration unit, a distribution network intelligent terminal power supply topology model in the region is established to obtain the correspondence between the distribution network intelligent terminal time and power optimization and regulation parameters of the entire region, and then combined with the correspondence between power optimization, regulation parameters and load fluctuations and line faults, the correspondence between the distribution network intelligent terminal time and supply for distribution network interoperability decision-making supervision based on power supply demand is obtained, that is, the distribution network intelligent terminal power loss fluctuation model, which simplifies the information into two dimensions of distribution network intelligent terminal time and supply, for the subsequent supply management of load fluctuations and line faults based on the above two situations, thereby achieving the technical effect of improving the efficiency of distribution network interoperability decision-making, improving management coordination and reducing resource waste.

[0042] Step S105: using the edge computing gateway to count and store the distribution network smart terminal situation, and using the distribution network smart terminal situation per unit time to optimize the distribution network smart terminal power loss fluctuation model per unit time;

[0043] Furthermore, the power loss fluctuation model of the distribution network intelligent terminal is optimized per unit time according to the situation of the distribution network intelligent terminal per unit time, including: using the situation of the distribution network intelligent terminal per unit time to obtain the time of the distribution network intelligent terminal per unit time and the amount of the distribution network intelligent terminal per unit time, and establishing the power loss fluctuation model of the distribution network intelligent terminal per unit time; comparing the power loss fluctuation model of the distribution network intelligent terminal per unit time with the power loss fluctuation model of the distribution network intelligent terminal, and obtaining the determination coefficient between the actual load fluctuation and line fault and the supervised load fluctuation and line fault, the determination coefficient including the time determination coefficient of the distribution network intelligent terminal and the current determination coefficient of the distribution network intelligent terminal; using the time determination coefficient of the distribution network intelligent terminal and the current determination coefficient of the distribution network intelligent terminal to optimize the power loss fluctuation model of the distribution network intelligent terminal per unit time.

[0044] Specifically, the situation of the intelligent terminals of the distribution network per unit time in the area is recorded, thereby optimizing the power loss fluctuation model of the intelligent terminals of the distribution network per unit time.

[0045] Specifically, by comparing the power loss fluctuation model of the intelligent terminal of the distribution network per unit time with the power loss fluctuation model of the intelligent terminal of the distribution network, calculations are performed according to the inconsistencies to obtain the determination coefficient. The time determination coefficient of the intelligent terminal of the distribution network is the difference between the time of the intelligent terminal of the distribution network per unit time and the time of the intelligent terminal of the regulated distribution network. The current determination coefficient of the intelligent terminal of the distribution network refers to the difference between the amount of the intelligent terminal of the distribution network per unit time and the amount of regulated load fluctuation and line fault. The unit time optimization refers to adjusting the power loss fluctuation model of the intelligent terminal of the distribution network for the next regulated time and the amount of regulated load fluctuation and line fault according to the time determination coefficient of the intelligent terminal of the distribution network and the current determination coefficient of the intelligent terminal of the distribution network. Thus, the technical effect of adjusting the supervision situation in real time according to the actual situation is achieved.

[0046] Step S106: Periodically collect integrity data on the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, and establish an information gateway for the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing; use the shared information gateway to perform parameter analysis and optimization in combination with the distribution network intelligent terminal power loss fluctuation model optimized per unit time.

[0047] Specifically, the management parameters corresponding to the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing of different models are also different. Therefore, it is necessary to collect characteristics and indicators of the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing. The multi-feature collection refers to the collection of the appearance, usage location, outlet location and other characteristics of the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing. The multi-indicator collection refers to the collection of the working principle, management time, power, volume, rated power and other indicators of the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing.

[0048] By taking the collected features and indicators as parameters, the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing information gateway are established to provide adjustment parameters for the subsequent distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing adjustment.

[0049] Furthermore, before the parameter analysis and optimization is performed, it also includes: using the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing information gateway to calculate the error rate of the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing; based on the distribution network intelligent terminal power loss fluctuation model optimized per unit time, combined with the error rate, generate an intelligent management plan for the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing; using the intelligent management plan to perform regular and quantitative parameter analysis and optimization on the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing.

[0050] Furthermore, after generating the intelligent management plan for the operation of the distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, it also includes: obtaining a parameter safety range, which is obtained by a visual monitoring interface of load fluctuation and line fault engineers; and adjusting the intelligent management plan using the parameter safety range.

[0051] Specifically, through the operation of the distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing information gateway, the volume and power of the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing are obtained, and the speed required for the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing management to the predetermined temperature is calculated. The power loss fluctuation model of the distribution network intelligent terminal after the unit time optimization is used to determine the load fluctuation and line failure requirements. Comprehensively considering the supply capacity and load fluctuation and line failure requirements of the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing, determine the intelligent management plan. Then, according to the intelligent management plan, the management time and management amount of the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing are managed.

[0052] Specifically, the parameter safety range refers to the pre-set management accuracy, which is obtained by the visual monitoring interface of load fluctuation and line fault engineers, and is not limited here. Then, the parameter safety range is used to determine whether the error of the intelligent management scheme meets the management interval during actual execution. If not, the management time and management amount of the intelligent management scheme are adjusted. In this way, the goal of intelligent central distribution network interoperability decision-making is achieved, and the technical effects of controlling management resources, reducing supply costs, and reducing circuit pressure and load are achieved.

[0053] like Figure 2 As shown, the present application also provides a distribution network intelligent terminal management system based on interoperability decision-making, the system comprising:

[0054] A power optimization and control parameter cloud unit, which is used to collect data from intelligent terminals of the distribution network within the monitoring range using a multimodal power information sensor platform, and to establish a power optimization and control parameter cloud using the data from intelligent terminals of the distribution network within the monitoring range, wherein the power optimization and control parameter cloud includes power optimization and control parameters for different time periods;

[0055] A distribution network interoperability decision-making model building unit, the distribution network interoperability decision-making model building unit is used to count and analyze the variation range of each power optimization and regulation parameter in the power optimization and regulation parameters in different time periods, and establish a distribution network interoperability decision model;

[0056] A data collection unit for supervising distribution network intelligent terminals, the data collection unit for supervising distribution network intelligent terminals is used to collect data from the data collection unit for supervising distribution network intelligent terminals within a set unit time to form a data integration unit for supervising distribution network intelligent terminals, the data collection unit for supervising distribution network intelligent terminals includes supervision of distribution network interoperability decision-making based on power supply demand;

[0057] A power loss fluctuation model establishment unit, the power loss fluctuation model establishment unit is used to establish a power supply topology model of a distribution network intelligent terminal by using the distribution network interoperability decision-making supervision based on power supply demand, and determine the distribution network intelligent terminal power loss fluctuation model for the distribution network interoperability decision-making supervision based on power supply demand in combination with the distribution network interoperability decision-making model;

[0058] A model unit time optimization unit, the model unit time optimization unit is used to use the edge computing gateway to count and store the distribution network intelligent terminal situation, and use the distribution network intelligent terminal situation per unit time to optimize the power loss fluctuation model of the distribution network intelligent terminal per unit time;

[0059] An information gateway building unit, the information gateway building unit is used to collect periodic integrity data on the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, and to build an information gateway for the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing;

[0060] A parameter analysis and optimization unit, wherein the parameter analysis and optimization unit is used to utilize the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing information gateway, combined with the distribution network intelligent terminal power loss fluctuation model optimized per unit time to perform parameter analysis and optimization.

[0061] Furthermore, the system also includes:

[0062] A load fluctuation and line fault information interface at different altitudes, wherein the load fluctuation and line fault information interface at different altitudes is used to establish a load fluctuation and line fault information cloud at different altitudes, wherein the load fluctuation and line fault information cloud at different altitudes includes load fluctuation and line fault data at different altitudes under various climate environments;

[0063] A data interface for supervising distribution network intelligent terminals, which is used to collect the load fluctuations at different altitudes and line fault information in the cloud, and the data collection unit for supervising distribution network intelligent terminals at different altitudes, and the line fault information at different altitudes, constitutes a data integration unit for supervising distribution network intelligent terminals for interoperability decision-making at different altitudes;

[0064] A distribution network interoperability decision failure interface, wherein the distribution network interoperability decision failure interface is used to obtain distribution network interoperability decision failure information, and use the distribution network interoperability decision failure information to generate a distribution network interoperability decision failure supervision distribution network intelligent terminal data acquisition unit;

[0065] A supervision information set acquisition interface is used to utilize the distribution network interoperability decision supervision distribution network intelligent terminal data integration unit at different altitudes and the distribution network interoperability decision non-compliance supervision distribution network intelligent terminal data collection unit to form the distribution network intelligent terminal data integration unit.

[0066] A distribution network intelligent terminal clustering interface, which is used to cluster the distribution network intelligent terminal data within the monitoring range based on load fluctuations and line fault geographical locations to obtain clustering results, wherein the clustering results include transformer distribution network intelligent terminal data, line distribution network intelligent terminal data, and user terminal distribution network intelligent terminal data;

[0067] A distribution network interoperability decision non-compliance information acquisition interface, wherein the distribution network interoperability decision non-compliance information acquisition interface is used to obtain the voltage and safety margin of the distribution network interoperability decision non-compliance using the distribution network interoperability decision non-compliance information;

[0068] A distribution network interoperability decision failure judgment interface, wherein the distribution network interoperability decision failure judgment interface is used to judge whether the distribution network interoperability decision failure is caused by abnormal line voltage through the voltage at which the distribution network interoperability decision failure is failed;

[0069] A distribution network interoperability decision failure determination interface, wherein the distribution network interoperability decision failure determination interface is used to determine, when the distribution network interoperability decision failure is abnormal line voltage, that the transformer distribution network intelligent terminal data or the line distribution network intelligent terminal data is the distribution network intelligent terminal data for which the distribution network interoperability decision failure has not been met, through the safety margin for the distribution network interoperability decision failure;

[0070] The distribution network intelligent terminal data determination interface is used to determine the user-end distribution network intelligent terminal data as the distribution network intelligent terminal data that does not meet the distribution network interoperability decision when the distribution network interoperability decision does not meet the standard and the maximum safety margin exceeds the threshold.

[0071] Furthermore, the system also includes:

[0072] A distribution network interoperability decision model interface, wherein the distribution network interoperability decision model interface is used to utilize the distribution network interoperability decision that fails to meet the standard to supervise the distribution network intelligent terminal data acquisition unit, and establish a distribution network interoperability decision model in which the distribution network interoperability decision fails to meet the standard;

[0073] A distribution network intelligent terminal control time acquisition interface, wherein the distribution network intelligent terminal control time acquisition interface is used to obtain the distribution network intelligent terminal control time for which the distribution network interoperability decision fails to meet the standard by using the distribution network interoperability decision failure information;

[0074] A distribution network intelligent terminal power supply topology structure model interface, wherein the distribution network intelligent terminal power supply topology structure model interface is used to establish a distribution network intelligent terminal power supply topology structure model for which the distribution network interoperability decision fails to meet the standard by utilizing the distribution network intelligent terminal control time for which the distribution network interoperability decision fails to meet the standard;

[0075] A power loss fluctuation model interface for intelligent terminals of a distribution network, wherein the power loss fluctuation model interface for intelligent terminals of a distribution network is used to generate a power loss fluctuation model for intelligent terminals of a distribution network for which interoperability decision making of the distribution network fails to meet the standards by using the interoperability decision model for the distribution network for which interoperability decision making of the distribution network fails to meet the standards and the power supply topology structure model for intelligent terminals of a distribution network for which interoperability decision making of the distribution network fails to meet the standards;

[0076] The load fluctuation and line fault determination interface is used to utilize the power loss fluctuation model of the distribution network intelligent terminal whose distribution network interoperability decision does not meet the standard to determine the data collection unit of the distribution network intelligent terminal whose distribution network interoperability decision does not meet the standard.

[0077] The unit time inter-distribution network inter-operability decision model interface is used to obtain the unit time inter-distribution network intelligent terminal time and the unit time inter-distribution network intelligent terminal quantity by using the unit time inter-distribution network intelligent terminal situation, and establish a unit time inter-distribution network intelligent terminal power loss fluctuation model;

[0078] A determination coefficient acquisition interface, wherein the determination coefficient acquisition interface is used to compare the power loss fluctuation model of the distribution network intelligent terminal per unit time with the power loss fluctuation model of the distribution network intelligent terminal, and obtain the determination coefficient between the actual load fluctuation and line fault and the supervised load fluctuation and line fault, wherein the determination coefficient includes the time determination coefficient of the distribution network intelligent terminal and the current determination coefficient of the distribution network intelligent terminal;

[0079] The unit time optimization interface is used to optimize the power loss fluctuation model of the distribution network intelligent terminal per unit time by using the time determination coefficient of the distribution network intelligent terminal and the current determination coefficient of the distribution network intelligent terminal.

[0080] An error rate calculation interface, wherein the error rate calculation interface is used to calculate the error rate of the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing by using the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing information gateway;

[0081] A management scheme generation interface, which is used to generate an intelligent management scheme for the operation of the distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing based on the power loss fluctuation model of the distribution network intelligent terminal optimized per unit time and in combination with the error rate;

[0082] A parameter analysis and optimization interface is used to utilize the intelligent management solution to perform regular and quantitative parameter analysis and optimization on the operation of the distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing.

[0083] Management interval acquisition interface, which is used to obtain parameter safety ranges, which are obtained from the load fluctuation and line fault engineer visual monitoring interface;

[0084] A scheme adjustment interface is used to adjust the intelligent management scheme using the parameter safety range.

[0085] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", "connect", and "fix" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

[0086] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A distribution network intelligent terminal management method based on interoperability decision-making, characterized in that: The method includes: The multimodal power information sensor platform is used to collect data from intelligent terminals of the distribution network within the monitoring range, and the data from intelligent terminals of the distribution network within the monitoring range are used to establish a power optimization and control parameter cloud, wherein the power optimization and control parameter cloud includes power optimization and control parameters for different time periods; Counting and analyzing the variation range of each power optimization and regulation parameter in the power optimization and regulation parameters in different time periods, and establishing a distribution network interoperability decision model; Collect data of smart terminals of the distribution network within a set unit time to form an edge computing gateway for smart terminals of the distribution network, wherein the edge computing gateway for smart terminals of the distribution network includes interoperability decision-making supervision of the distribution network according to power supply demand; A distribution network intelligent terminal power supply topology model is established by using the distribution network interoperability decision-making supervision based on power supply demand, and a distribution network intelligent terminal power loss fluctuation model is determined for the distribution network interoperability decision-making supervision based on power supply demand in combination with the distribution network interoperability decision-making model; The edge computing gateway is used to count and store the situation of the intelligent terminals of the distribution network at a certain time, and the situation of the intelligent terminals of the distribution network at a certain time is used to optimize the power loss fluctuation model of the intelligent terminals of the distribution network at a certain time; Periodic integrity data collection is carried out on the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, and an information gateway for the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing is established; the information gateway is used to perform parameter analysis and optimization in combination with the distribution network intelligent terminal power loss fluctuation model optimized per unit time.

2. The distribution network intelligent terminal management method based on interoperability decision according to claim 1 is characterized in that: include: Establishing a cloud of information on load fluctuations and line faults at different altitudes, wherein the cloud of information on load fluctuations and line faults at different altitudes includes load fluctuations and line faults at different altitudes under various climate environments; Collect the load fluctuations and line fault information at different altitudes in the cloud, and the data of the intelligent terminal for supervising the distribution network at different altitudes, and the line faults, to form an edge computing gateway for supervising the intelligent terminal of the distribution network interoperability decision-making at different altitudes; Obtaining distribution network interoperability decision failure information, and using the distribution network interoperability decision failure information to generate distribution network interoperability decision failure supervision distribution network intelligent terminal data; The distribution network interoperability decision-supervising distribution network intelligent terminal edge computing gateway at different altitudes and the distribution network interoperability decision-not-reaching distribution network intelligent terminal supervision data are used to form the distribution network intelligent terminal supervision edge computing gateway.

3. The distribution network intelligent terminal management method based on interoperability decision according to claim 2 is characterized in that: The method of generating distribution network interoperability decision failure supervision distribution network intelligent terminal data according to the distribution network interoperability decision failure information includes: Based on load fluctuations and line fault geographical locations, the data of the intelligent terminals of the distribution network in the monitoring range are clustered to obtain clustering results, and the clustering results include: Transformer distribution network intelligent terminal data, line distribution network intelligent terminal data, user terminal distribution network intelligent terminal data; Using the distribution network interoperability decision non-compliance information, obtaining the voltage and safety margin of the distribution network interoperability decision non-compliance; Judging whether the distribution network interoperability decision failure is caused by line voltage abnormality by the voltage at which the distribution network interoperability decision failure fails to meet the standard; When the distribution network interoperability decision fails to meet the standard and the line voltage is abnormal, the transformer distribution network intelligent terminal data or the line distribution network intelligent terminal data is determined to be the distribution network intelligent terminal data for which the distribution network interoperability decision fails to meet the standard through the safety margin of the distribution network interoperability decision failing to meet the standard; When the distribution network interoperability decision fails to meet the standard because the maximum safety margin exceeds a threshold, it is determined that the user-end distribution network intelligent terminal data is the distribution network intelligent terminal data for which the distribution network interoperability decision fails to meet the standard.

4. The distribution network intelligent terminal management method based on interoperability decision according to claim 3 is characterized in that: After determining the distribution network intelligent terminal data that does not meet the distribution network interoperability decision standard, the method further includes: Using the distribution network interoperability decision-making failure monitoring distribution network intelligent terminal data, a distribution network interoperability decision-making model for the distribution network interoperability decision-making failure to meet the standards is established; Using the distribution network interoperability decision failure information, obtaining the distribution network intelligent terminal control time when the distribution network interoperability decision fails to meet the standard; Using the control time of the distribution network intelligent terminal whose interoperability decision of the distribution network does not meet the standard, a power supply topology structure model of the distribution network intelligent terminal whose interoperability decision of the distribution network does not meet the standard is established; Generate a power loss fluctuation model of the distribution network intelligent terminal where the distribution network interoperability decision fails to meet the standard by using the distribution network interoperability decision model where the distribution network interoperability decision fails to meet the standard and the distribution network intelligent terminal power supply topology structure model where the distribution network interoperability decision fails to meet the standard; By utilizing the power loss fluctuation model of the intelligent terminal of the distribution network whose interoperability decision of the distribution network does not meet the standard, the data of the intelligent terminal of the distribution network whose interoperability decision of the distribution network does not meet the standard for supervision is determined.

5. The distribution network intelligent terminal management method based on interoperability decision according to claim 1 is characterized in that: The optimizing the power loss fluctuation model of the intelligent terminal of the distribution network per unit time according to the intelligent terminal situation of the distribution network per unit time comprises: obtaining the intelligent terminal time of the distribution network per unit time and the intelligent terminal quantity of the distribution network per unit time by using the intelligent terminal situation of the distribution network per unit time, and establishing the power loss fluctuation model of the intelligent terminal of the distribution network per unit time; Compare the power loss fluctuation model of the distribution network intelligent terminal per unit time with the power loss fluctuation model of the distribution network intelligent terminal to obtain the determination coefficient between the actual load fluctuation and line fault and the supervised load fluctuation and line fault, wherein the determination coefficient includes the time determination coefficient of the distribution network intelligent terminal and the current determination coefficient of the distribution network intelligent terminal; The power loss fluctuation model of the distribution network intelligent terminal is optimized per unit time by utilizing the time determination coefficient of the distribution network intelligent terminal and the current determination coefficient of the distribution network intelligent terminal.

6. The distribution network intelligent terminal management method based on interoperability decision according to claim 1 is characterized in that: Before performing parameter analysis and optimization, the method further includes: Utilizing the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing information gateway, calculate the error rate of the distribution network interoperability decision-making device operation, power grid topology and scheduling, communication and data sharing; Based on the power loss fluctuation model of the intelligent terminal of the distribution network optimized per unit time, and in combination with the error rate, an intelligent management plan for the operation of the distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing is generated; The intelligent management solution is used to perform regular and quantitative parameter analysis and optimization on the operation of the distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing.

7. The distribution network intelligent terminal management method based on interoperability decision according to claim 6 is characterized in that: After generating the intelligent management scheme for the distribution network interoperability decision-making equipment operation, power grid topology and dispatching, communication and data sharing, it also includes: Obtain parameter safety range, which is obtained from the load fluctuation and line fault engineer visual monitoring interface; The intelligent management scheme is adjusted using the parameter safety range.

8. The distribution network intelligent terminal management system based on interoperability decision-making is characterized by: The system includes: A power optimization and control parameter cloud unit, which is used to collect data from intelligent terminals of the distribution network within the monitoring range using a multimodal power information sensor platform, and to establish a power optimization and control parameter cloud using the data from intelligent terminals of the distribution network within the monitoring range, wherein the power optimization and control parameter cloud includes power optimization and control parameters for different time periods; A distribution network interoperability decision-making model building unit, the distribution network interoperability decision-making model building unit is used to count and analyze the variation range of each power optimization and regulation parameter in the power optimization and regulation parameters in different time periods, and establish a distribution network interoperability decision model; Equipment operation, power grid topology and dispatching, communication and data sharing information collection unit, the equipment operation, power grid topology and dispatching, communication and data sharing information collection unit is used to collect data from the distribution network supervision intelligent terminal data collection unit within a set unit time to form a distribution network supervision intelligent terminal data integration unit, the distribution network supervision intelligent terminal data collection unit includes distribution network interoperability decision supervision according to power supply demand; A power loss fluctuation model establishment unit, the power loss fluctuation model establishment unit is used to establish a power supply topology model of a distribution network intelligent terminal by using the distribution network interoperability decision-making supervision based on power supply demand, and determine the distribution network intelligent terminal power loss fluctuation model for the distribution network interoperability decision-making supervision based on power supply demand in combination with the distribution network interoperability decision-making model; A model unit time optimization unit, the model unit time optimization unit is used to use the edge computing gateway to count and store the distribution network intelligent terminal situation, and use the distribution network intelligent terminal situation per unit time to optimize the power loss fluctuation model of the distribution network intelligent terminal per unit time; An information gateway building unit, the information gateway building unit is used to collect periodic integrity data on the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing, and to build an information gateway for the operation of distribution network interoperability decision-making equipment, power grid topology and scheduling, communication and data sharing; A parameter analysis and optimization unit, wherein the parameter analysis and optimization unit is used to utilize the distribution network interoperability decision-making equipment operation, power grid topology and scheduling, communication and data sharing information gateway, combined with the distribution network intelligent terminal power loss fluctuation model optimized per unit time to perform parameter analysis and optimization.

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