Comprehensive management system of distributed power distribution terminal

Abstract

The invention provides a comprehensive management system for distributed power distribution terminals, and belongs to the technical field of terminal management, and the system comprises a data acquisition module which is used for configuring a unique identifier for each power distribution terminal, configuring a sensor for the corresponding power distribution terminal, carrying out the data collection, and obtaining the operation parameter data of the power distribution terminals; the data analysis module is used for analyzing the operation parameter data of any power distribution terminal to determine the working state of the corresponding power distribution terminal; the network path module is used for constructing a power grid topological graph based on the distributed power distribution terminals, acquiring the total communication delay between the comprehensive management platform and all the power distribution terminals, and further optimizing communication links between the power distribution terminals and the system to obtain an optimal topological graph; and the visualization module is used for visually displaying all the power distribution terminals and the working states thereof based on the optimal topological graph. Through optimization of a communication link and visual display, the management and operation efficiency of the power distribution terminal is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of terminal management, and in particular to an integrated management system for distributed power distribution terminals. Background Art

[0002] As the power industry's demand for smart grids, automated control and data monitoring continues to increase, distributed distribution networks have also emerged. However, with the increase in power load, equipment aging and the need to manage power distribution terminals due to power demand, the traditional distribution terminal management method only records and stores the operating data of each terminal, that is, it is a single management of the terminal, which undoubtedly reduces the efficiency of comprehensive management of multiple distribution terminals.

[0003] Therefore, the present invention proposes a comprehensive management system for distributed power distribution terminals. Summary of the invention

[0004] The present invention provides a comprehensive management system for distributed power distribution terminals, which is used to construct and optimize the power grid topology diagram of the distribution terminals through data collection, analysis and optimization, monitor the working status of each terminal in real time, and finally realize efficient management of the distributed power distribution terminals through visual display.

[0005] The present invention provides a comprehensive management system for distributed power distribution terminals, comprising: Data acquisition module: configure a unique identifier for each distribution terminal, and configure sensors for the corresponding distribution terminal to collect data, and obtain the operating parameter data of the distribution terminal; Data analysis module: Analyze the operating parameter data of any distribution terminal to determine the working status of the corresponding distribution terminal; Network path module: constructs a power grid topology map based on distributed power distribution terminals and an integrated management platform, determines the total communication delay, and then optimizes the communication links in the power grid topology map to obtain the optimal topology map; Visualization module: Based on the optimal topology diagram, visualize all distribution terminals and their working status.

[0006] On the other hand, the data acquisition module includes: Data collection unit: select data sensors according to preset parameter types involved in all power distribution terminals, configure a unique first identifier for each data sensor, install and configure sensors on the corresponding power distribution terminal according to the matching relationship between the unique identifier of any power distribution terminal and the first identifier, and collect operating parameter data of the power distribution terminal, wherein the unique identifier of the power distribution terminal is related to the parameter type involved in the terminal; Interface unit: Build the communication interface between all the configuration sensors of any power distribution terminal and the integrated management platform according to the network protocol, and control the communication interface to read the collected operating parameter data.

[0007] On the other hand, the data analysis module comprises: Initialization unit: obtaining missing values ​​in the collected data of any sensor configured with the power distribution terminal, and filling the missing values ​​according to the data distribution algorithm to obtain first data; The first data is split according to the unit time length, and the individual data at each refined time point in each sub-split data is regarded as a first data point; The reachable distance of each first data point is obtained by presetting the amount of nearby data, and the outlier factor of each first data point is obtained based on the reachable distance: ; ; in, represents the outlier factor of the first data point p, represents the local density of the first data point p and random i consecutive data points, and is the final density, n represents the preset nearby data volume, and , m0 represents the total number of first data points corresponding to the refined time points involved in the unit time length, Indicates the round-up symbol. represents the sum of the reachable distances of the first data point p based on the preset nearby data volume n. represents the adjustment coefficient, Indicates that when the refined time point of the first data point p is the start time of the corresponding sub-split data, the global density of the data points involved in the corresponding sensor historical collection data is obtained; Indicates that when the refinement time point of the first data point p is not the start time of the corresponding sub-split data, the local density of the data points involved from the first data point p0 to the first data point p of the corresponding sub-split data from the start of collection is obtained; represents the sum of the reachable distances of the first data point p in the corresponding sub-split data based on the remaining m0-1 data points; like , the individual data of the first data point p is marked as abnormal, where, To set the threshold, the value is 0.5; According to the data that are not marked as abnormal in all the sub-split data under the same sensor, the individual data marked as abnormal are replaced to obtain the second data collected by the corresponding sensor.

[0008] On the other hand, the data analysis module further includes: Parameter judgment unit: obtain the balancing factor of the second data under any sensor: ; in, represents the equalization factor corresponding to the second data, represents the control threshold, m represents that there are m data points in the second data, represents the value of the j-th second data point in the second data, represents the mean value of all the second data points in the second data, represents the standard deviation of the second data, represents the reference standard value of the sensor, Indicates the reference standard value based on the sensor The inverse function of the calibration function, Indicates the reference standard value based on the sensor The calibration function of like If the value is greater than or equal to the preset threshold, it is determined that the corresponding power distribution terminal has an operation abnormality consistent with the acquisition parameter type of the corresponding sensor; otherwise, it is determined to be normal; The overall working state of any power distribution terminal is constituted based on the second data of each sensor involved in any power distribution terminal and its corresponding working state.

[0009] On the other hand, the network path module includes: Power grid topology unit: Based on all power distribution terminals forming basic nodes, the integrated management platform forming terminal nodes, and the connections between each node forming edges, the power grid topology is represented as ; Represents a node set, consisting of a base node and a terminal node. represents an edge set; Delay calculation unit: calculates the total communication delay of the power grid topology as: ; in, represents the total communication delay of the power grid topology graph, represents the length of the edge between the qth node and the rth node, represents the sum of the lengths of the sides, represents the preset bandwidth of the qth node, represents the preset bandwidth of the rth node, represents the reliability factor of the edge between the qth and rth nodes in the power grid topology graph, ln( ) represents the logarithmic function, Indicates the set data transmission volume per unit time; represents the transmission speed of the transmission channel between the qth node and the rth node, They represent the historical intrusion times of the distribution terminals corresponding to the qth node and the rth node respectively; They represent the number of historical intrusions and prevention failures of the distribution terminals corresponding to the qth node and the rth node, respectively.

[0010] On the other hand, the network path module also includes: A judgment unit: if the total communication delay is greater than a preset target requirement threshold, the delay is determined to be too high, and a constraint condition is constructed according to the preset target requirement; Optimization unit: constructs the objective function based on the constraints combined with the linear programming algorithm, formulates a tree, connects the communication links between any two nodes, and obtains the constraint tree; Eliminate the necessary node connection relationships, and perform matching analysis on any remaining connection relationships according to the constraint conditions. If the matching degree is less than the preset standard, the corresponding connection relationship is determined to be a weak constraint relationship, and the corresponding connection relationship in the constraint tree is deleted; Iteratively analyze the matching degree of the remaining connection relationships except the necessary node connection relationship until the connection relationship of the constraint tree satisfies the objective function, and then the node connection relationship of the constraint tree is regarded as the optimal connection; Construct the optimal power grid topology based on the optimal connection.

[0011] On the other hand, the visualization module includes: Visualization unit: displaying the optimal power grid topology in a visual form according to the image network tool, and updating the working status of any power distribution terminal in the optimal power grid topology in real time; At the same time, the communication status of the link status between any two nodes is displayed, and different communication delays are represented by different colors.

[0012] On the other hand, the visualization module also includes: Abnormal processing unit: the abnormal value of the preset power distribution terminal is 1, and the complex value is 0; When a communication delay anomaly occurs, the abnormal value and the complex state value of the power distribution terminal where the communication delay anomaly occurs are exchanged; If the complex state value of the distribution terminal is detected to be 1, the protection mechanism of the distribution terminal is started; if the complex state value of the distribution terminal is detected to be 0, the protection mechanism of the distribution terminal is stopped.

[0013] Compared with the prior art, the beneficial effects of this application are: Through data collection, analysis and optimization, the power grid topology of the distribution terminal is constructed and optimized, the working status of each terminal is monitored in real time, and finally the efficient management of the distributed distribution terminals is achieved through visual display.

[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural diagram of an integrated management system for distributed power distribution terminals in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0019] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, such as Figure 1 As shown, including: Data acquisition module: configure a unique identifier for each distribution terminal, and configure sensors for the corresponding distribution terminal to collect data, and obtain the operating parameter data of the distribution terminal; Data analysis module: Analyze the operating parameter data of any distribution terminal to determine the working status of the corresponding distribution terminal; Network path module: constructs a power grid topology map based on distributed power distribution terminals and an integrated management platform, determines the total communication delay, and then optimizes the communication links in the power grid topology map to obtain the optimal topology map; Visualization module: Based on the optimal topology diagram, visualize all distribution terminals and their working status.

[0020] In this embodiment, the power distribution terminal is a key device in the power distribution network, responsible for real-time monitoring, collection, transmission and control of various operating parameters in the power distribution system.

[0021] In this embodiment, the identifier is a code used to uniquely identify each power distribution terminal, and is usually composed of a group of numbers, letters, or a combination of the two, to ensure that each power distribution terminal is uniquely identifiable in the system.

[0022] In this embodiment, the sensor is a device used to monitor and collect operating parameters of the power distribution terminal in real time, including: current, voltage, power, electric energy meter, temperature and other types.

[0023] In this embodiment, the operating parameter data refers to various key data describing the current working status of the power distribution terminal, including: current, voltage, power, electric energy meter, temperature and other types.

[0024] In this embodiment, the working status refers to the operating status of the power distribution terminal at a specific time point.

[0025] In this embodiment, the power grid topology diagram is a diagram of the spatial and connection relationships between various components in the power system.

[0026] In this embodiment, the total communication delay refers to the total time delay experienced during the entire process of data transmission from a power distribution terminal to a target device in a power system or network.

[0027] In this embodiment, the communication link refers to a data transmission channel connecting different devices and modules.

[0028] In this embodiment, the optimal topology diagram refers to a power grid topology structure that reduces overall communication delay and improves data transmission efficiency by optimizing communication links between distribution terminals.

[0029] The beneficial effects of the above technical solution are: through data collection, analysis and optimization, the power grid topology diagram of the distribution terminal is constructed and optimized, the working status of each terminal is monitored in real time, and finally the efficient management of the distributed distribution terminal is achieved through visual display.

[0030] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, wherein the data acquisition module comprises: Data collection unit: select data sensors according to preset parameter types involved in all power distribution terminals, configure a unique first identifier for each data sensor, install and configure sensors on the corresponding power distribution terminal according to the matching relationship between the unique identifier of any power distribution terminal and the first identifier, and collect operating parameter data of the power distribution terminal, wherein the unique identifier of the power distribution terminal is related to the parameter type involved in the terminal; Interface unit: Build the communication interface between all the configuration sensors of any power distribution terminal and the integrated management platform according to the network protocol, and control the communication interface to read the collected operating parameter data.

[0031] In this embodiment, the preset parameter type refers to specific operating data that needs to be monitored and collected in the power distribution terminal, including: current, voltage, power, electric energy meter, temperature and other types.

[0032] In this embodiment, the first identifier refers to a unique identifier of each data sensor.

[0033] In this embodiment, the matching relationship refers to a mapping or corresponding relationship between the unique identifier of the power distribution terminal and the first identifier of the data sensor.

[0034] In this embodiment, the communication interface refers to the medium for information exchange between the power distribution terminal and the integrated management platform during the data collection and transmission process.

[0035] In this embodiment, the integrated management platform is an integrated system for centrally managing and monitoring various devices and data in the power distribution system.

[0036] The beneficial effects of the above technical solution are: by configuring unique identifiers and sensors for distribution terminals, accurate data collection is achieved, and a communication interface is built through the interface unit to realize data transmission and reading, thereby improving the monitoring accuracy and data transmission efficiency of the distribution terminal and enhancing the overall level of intelligent power grid management.

[0037] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, wherein the data analysis module comprises: Initialization unit: obtaining missing values ​​in the collected data of any sensor configured with the power distribution terminal, and filling the missing values ​​according to the data distribution algorithm to obtain first data; The first data is split according to the unit time length, and the individual data at each refined time point in each sub-split data is regarded as a first data point; The reachable distance of each first data point is obtained by presetting the amount of nearby data, and the outlier factor of each first data point is obtained based on the reachable distance: ;

[0038]

[0039] in, represents the outlier factor of the first data point p, represents the local density of the first data point p and random i consecutive data points, and is the final density, n represents the preset nearby data volume, and , m0 represents the total number of first data points corresponding to the refined time points involved in the unit time length, Indicates the round-up symbol. represents the sum of the reachable distances of the first data point p based on the preset nearby data volume n. represents the adjustment coefficient, Indicates that when the refined time point of the first data point p is the start time of the corresponding sub-split data, the global density of the data points involved in the corresponding sensor historical collection data is obtained; Indicates that when the refinement time point of the first data point p is not the start time of the corresponding sub-split data, the local density of the data points involved from the first data point p0 to the first data point p of the corresponding sub-split data from the start of collection is obtained; represents the sum of the reachable distances of the first data point p in the corresponding sub-split data based on the remaining m0-1 data points; like , the individual data of the first data point p is marked as abnormal, where, To set the threshold, the value is 0.5; According to the data that are not marked as abnormal in all the sub-split data under the same sensor, the individual data marked as abnormal are replaced to obtain the second data collected by the corresponding sensor.

[0040] In this embodiment, missing values ​​refer to missing items in some data items in the data set.

[0041] In this embodiment, the data distribution algorithm refers to a technique used for data filling, interpolation or estimation to deal with missing values ​​or incompleteness in the data, including mean filling method, etc.

[0042] In this embodiment, the first data refers to a data set obtained after filling in missing values ​​in the data collected by the power distribution terminal sensor through a data distribution algorithm.

[0043] In this embodiment, the unit time length refers to a basic time period into which the data collected by the sensor is divided by time, such as 10 seconds, wherein the individual data of each second is regarded as a data point.

[0044] In this embodiment, the sub-split data refers to a data subset in each time period obtained by splitting the original data according to the unit time length.

[0045] In this embodiment, the reachable distance refers to a metric for measuring the relative distance between a data point and other surrounding data points.

[0046] In this embodiment, the outlier factor is an indicator used to measure the abnormality of a data point in a given data set.

[0047] In this embodiment, the local density refers to the density of other data points within the neighborhood of a data point.

[0048] In this embodiment, the preset nearby data amount refers to the preset number of neighboring data points used to calculate the local density of each data point during the data processing process.

[0049] In this embodiment, the global density refers to the density level of a certain data point in the entire data set, reflecting the relative position of the data point in the overall data distribution.

[0050] In this embodiment, setting a threshold is a judgment parameter for determining whether a data point is an abnormal data point.

[0051] In this embodiment, the second data is a new data set obtained by filling in abnormal marked data points and retaining normal data points.

[0052] The beneficial effects of the above technical solution are: by filling missing values, splitting data and calculating the outlier factor of each data point, abnormal data can be identified and marked. By replacing abnormal data, the second data collected by the sensor is optimized, the accuracy and reliability of the data are improved, and the data analysis quality of the distribution terminal is improved.

[0053] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, wherein the data analysis module further includes: Parameter judgment unit: obtain the balancing factor of the second data under any sensor: ; in, represents the equalization factor corresponding to the second data, represents the control threshold, m represents that there are m data points in the second data, represents the value of the j-th second data point in the second data, represents the mean value of all the second data points in the second data, represents the standard deviation of the second data, represents the reference standard value of the sensor, Indicates the reference standard value based on the sensor The inverse function of the calibration function, Indicates the reference standard value based on the sensor The calibration function of like If the value is greater than or equal to the preset threshold, it is determined that the corresponding power distribution terminal has an operation abnormality consistent with the acquisition parameter type of the corresponding sensor; otherwise, it is determined to be normal; The overall working state of any power distribution terminal is constituted based on the second data of each sensor involved in any power distribution terminal and its corresponding working state.

[0054] In this embodiment, the equalization factor is a value used to measure the deviation between the second data point collected by the sensor and a certain reference standard.

[0055] In this embodiment, the control threshold is a standard value used to determine whether the sensor data deviates from a normal range.

[0056] In this embodiment, the inverse function refers to a function that restores the effect of the original function.

[0057] In this embodiment, the calibration function refers to a mathematical function that converts the output value of the sensor into a more accurate or standard value through adjustment.

[0058] In this embodiment, the calibrated standard value is restored to the original output data of the sensor through the inverse operation. To adjust the output data of the sensor to make it consistent with the actual measured value.

[0059] In this embodiment, the preset threshold is a pre-set value used to determine whether the system is judged to be operating abnormally.

[0060] The beneficial effect of the above technical solution is: by calculating the balancing factor of the sensor data collected, it is determined whether there is any abnormality in the distribution terminal. If the balancing factor exceeds the threshold, it is determined to be abnormal; otherwise, it is considered to be working normally. This method helps to accurately monitor the terminal status and improve the stability and reliability of the power grid operation.

[0061] An embodiment of the present invention provides an integrated management system for distributed power distribution terminals, wherein the network path module comprises: Power grid topology unit: Based on all power distribution terminals forming basic nodes, the integrated management platform forming terminal nodes, and the connections between each node forming edges, the power grid topology is represented as ; Represents a node set, consisting of a base node and a terminal node. represents an edge set; Delay calculation unit: calculates the total communication delay of the power grid topology as: ; in, represents the total communication delay of the power grid topology graph, represents the length of the edge between the qth node and the rth node, represents the sum of the lengths of the sides, represents the preset bandwidth of the qth node, represents the preset bandwidth of the rth node, represents the reliability factor of the edge between the qth and rth nodes in the power grid topology graph, ln( ) represents the logarithmic function, Indicates the set data transmission volume per unit time; represents the transmission speed of the transmission channel between the qth node and the rth node, They represent the historical intrusion times of the distribution terminals corresponding to the qth node and the rth node respectively; They represent the number of historical intrusions and prevention failures of the distribution terminals corresponding to the qth node and the rth node, respectively.

[0062] In this embodiment, a node refers to a key element in a power grid, representing a distribution terminal, a management platform, or other equipment in the network.

[0063] In this embodiment, an edge refers to a communication path or a transmission channel connecting different nodes.

[0064] In this embodiment, the preset bandwidth refers to the maximum data transmission capacity set for each node during design, that is, the highest transmission rate that the node can support in the network.

[0065] In this embodiment, the reliability factor is a parameter used to represent the reliability in the power grid, and a higher quality generally means a more stable connection and a lower failure rate.

[0066] In this embodiment, the set data transmission volume refers to the amount of data that needs to be transmitted between each node (distribution terminal) and other nodes in the power grid topology diagram within a specific time unit.

[0067] In this embodiment, the transmission speed refers to the amount of data that can be successfully transmitted per unit time on a specific transmission path.

[0068] In this embodiment, the number of historical intrusions refers to the number of unauthorized intrusion attempts or attacks that a node has suffered within a certain time range.

[0069] The beneficial effects of the above technical solution are: by constructing a power grid topology map and calculating communication delay, taking into account factors such as node bandwidth, transmission speed and historical intrusion times, the power grid communication link is optimized. It can accurately evaluate and improve the power grid communication efficiency and ensure more stable and reliable distribution terminal data transmission and monitoring.

[0070] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, a network path module, and further includes: A judgment unit: if the total communication delay is greater than a preset target requirement threshold, the delay is determined to be too high, and a constraint condition is constructed according to the preset target requirement; Optimization unit: constructs the objective function based on the constraints combined with the linear programming algorithm, formulates a tree, connects the communication links between any two nodes, and obtains the constraint tree; Eliminate the necessary node connection relationships, and perform matching analysis on any remaining connection relationships according to the constraint conditions. If the matching degree is less than the preset standard, the corresponding connection relationship is determined to be a weak constraint relationship, and the corresponding connection relationship in the constraint tree is deleted; Iteratively analyze the matching degree of the remaining connection relationships except the necessary node connection relationship until the connection relationship of the constraint tree satisfies the objective function, and then the node connection relationship of the constraint tree is regarded as the optimal connection; Construct the optimal power grid topology based on the optimal connection.

[0071] In this embodiment, the preset target demand threshold refers to an optimal communication delay value set based on communication performance requirements in the power grid system.

[0072] In this embodiment, the constraint condition refers to a restriction condition that must be followed when optimizing the power grid topology design in order to ensure that the communication delay meets the target requirement.

[0073] In this embodiment, the linear programming algorithm is an optimization method, which is mainly used to solve problems with linear objective functions and linear constraints.

[0074] In this embodiment, the objective function is a function used to optimize the total communication delay to ensure that it meets the preset target requirements.

[0075] In this embodiment, the constraint tree is a structure used to describe and manage the connection relationship between nodes during the optimization process.

[0076] In this embodiment, the necessary node connection relationship refers to the connection relationship between nodes that cannot be removed or replaced based on target requirements, constraints or specific requirements in the optimization problem.

[0077] In this embodiment, the matching degree is an indicator used to measure the degree of compliance between a connection relationship and a constraint condition.

[0078] In this embodiment, the preset standard degree refers to a threshold used to measure the degree of matching between the connection relationship and the target requirement during the optimization process.

[0079] In this embodiment, a weak constraint relationship refers to a connection relationship that, during the optimization process, satisfies certain basic requirements but fails to reach a preset standard degree in the matching degree analysis.

[0080] In this embodiment, the optimal connection refers to the connection relationship between nodes that best meets the target requirements, which is finally selected during the optimization process through constraint conditions and linear programming algorithms, after matching degree analysis and iterative optimization.

[0081] The beneficial effects of the above technical solution are: by calculating the communication delay and applying linear programming to optimize the power grid topology, eliminating weak constraint relationships, iteratively adjusting the connection relationship, and finally obtaining the optimal node connection, the power grid communication link is optimized, the delay is reduced, and the power grid operation efficiency and stability are improved.

[0082] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, a visualization module, including:

[0083] Visualization unit: displaying the optimal power grid topology in a visual form according to the image network tool, and updating the working status of any power distribution terminal in the optimal power grid topology in real time; At the same time, the communication status of the link status between any two nodes is displayed, and different communication delays are represented by different colors.

[0084] In this embodiment, the graphical network tool refers to a software tool for drawing, displaying and analyzing network topology diagrams.

[0085] In this embodiment, the communication status refers to the connection status and communication quality between different nodes in the network.

[0086] The working principle and beneficial effects of the above technical solution are: the optimal grid topology is visualized through the image network tool, and the working status of the distribution terminal is updated in real time. Different communication delays are distinguished by color, the link status is intuitively presented, the efficiency of grid management and monitoring is improved, and problems are identified and solved in a timely manner.

[0087] An embodiment of the present invention provides a comprehensive management system for distributed power distribution terminals, a visualization module, and further includes: Abnormal processing unit: the abnormal value of the preset power distribution terminal is 1, and the complex value is 0; When a communication delay anomaly occurs, the abnormal value and the complex state value of the power distribution terminal where the communication delay anomaly occurs are exchanged; If the complex state value of the distribution terminal is detected to be 1, the protection mechanism of the distribution terminal is started; if the complex state value of the distribution terminal is detected to be 0, the protection mechanism of the distribution terminal is stopped.

[0088] In this embodiment, the abnormal value is an indication for identifying an abnormal state of the power distribution terminal.

[0089] In this embodiment, the complex state value indicates an indication of restoration of the power distribution terminal to a normal state.

[0090] In this embodiment, the protection mechanism refers to a series of measures taken for the distribution terminal or the entire power system, including monitoring of the distribution terminal, fault isolation, alarm triggering, automatic recovery and other functions.

[0091] The beneficial effects of the above technical solution are: by detecting abnormal communication delay, dynamically adjusting abnormal values ​​and complex values ​​of the distribution terminal, triggering the protection mechanism or stopping the protection mechanism, achieving automatic response, improving the real-time and efficiency of power grid fault processing, and ensuring the safe and stable operation of the distribution terminal.

[0092] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An integrated management system for distributed power distribution terminals, characterized in that: include: Data acquisition module: configure a unique identifier for each distribution terminal, and configure sensors for the corresponding distribution terminal to collect data, and obtain the operating parameter data of the distribution terminal; Data analysis module: analyzes the operating parameter data of any distribution terminal to determine the working status of the corresponding distribution terminal; Network path module: constructs a power grid topology map based on distributed power distribution terminals and an integrated management platform, determines the total communication delay, and then optimizes the communication links in the power grid topology map to obtain the optimal topology map; Visualization module: Based on the optimal topology diagram, visualize all distribution terminals and their working status.

2. According to claim 1, a comprehensive management system for distributed power distribution terminals is characterized in that: The data acquisition module comprises: Data collection unit: select data sensors according to preset parameter types involved in all power distribution terminals, configure a unique first identifier for each data sensor, install and configure sensors on the corresponding power distribution terminal according to the matching relationship between the unique identifier of any power distribution terminal and the first identifier, and collect operating parameter data of the power distribution terminal, wherein the unique identifier of the power distribution terminal is related to the parameter type involved in the terminal; Interface unit: Build the communication interface between all the configuration sensors of any distribution terminal and the integrated management platform according to the network protocol, and control the communication interface to read the collected operating parameter data.

3. The integrated management system for distributed power distribution terminals according to claim 1, characterized in that: The data analysis module comprises: Initialization unit: obtaining missing values ​​in the collected data of any sensor configured with the power distribution terminal, and filling the missing values ​​according to the data distribution algorithm to obtain first data; The first data is split according to the unit time length, and the individual data at each refined time point in each sub-split data is regarded as a first data point; The reachable distance of each first data point is obtained by presetting the amount of nearby data, and the outlier factor of each first data point is obtained based on the reachable distance: ； ； in, represents the outlier factor of the first data point p, represents the local density of the first data point p and random i consecutive data points, and is the final density, n represents the preset nearby data volume, and , m0 represents the total number of first data points corresponding to the refined time points involved in the unit time length, Indicates the round-up symbol. represents the sum of the reachable distances of the first data point p based on the preset nearby data volume n. represents the adjustment coefficient, Indicates that when the refined time point of the first data point p is the start time of the corresponding sub-split data, the global density of the data points involved in the corresponding sensor historical collection data is obtained; Indicates that when the refinement time point of the first data point p is not the start time of the corresponding sub-split data, the local density of the data points involved from the first data point p0 to the first data point p of the corresponding sub-split data from the start of collection is obtained; represents the sum of the reachable distances of the first data point p in the corresponding sub-split data based on the remaining m0-1 data points; like , the individual data of the first data point p is marked as abnormal, where, To set the threshold, the value is 0.5; According to the data that are not marked as abnormal in all the sub-split data under the same sensor, the individual data marked as abnormal are replaced to obtain the second data collected by the corresponding sensor.

4. The integrated management system for distributed power distribution terminals according to claim 3, characterized in that: The data analysis module further includes: Parameter judgment unit: obtain the balancing factor of the second data under any sensor: ； in, represents the equalization factor corresponding to the second data, represents the control threshold, m represents that there are m data points in the second data, represents the value of the j-th second data point in the second data, represents the mean value of all the second data points in the second data, represents the standard deviation of the second data, represents the reference standard value of the sensor, Indicates the reference standard value based on the sensor The inverse function of the calibration function, Indicates the reference standard value based on the sensor The calibration function of like If the value is greater than or equal to the preset threshold, it is determined that the corresponding power distribution terminal has an operation abnormality consistent with the acquisition parameter type of the corresponding sensor; otherwise, it is determined to be normal; The overall working state of any power distribution terminal is constituted based on the second data of each sensor involved in any power distribution terminal and its corresponding working state.

5. The integrated management system for distributed power distribution terminals according to claim 1, characterized in that: The network path module comprises: Power grid topology unit: Based on all power distribution terminals forming basic nodes, the integrated management platform forming terminal nodes, and the connections between each node forming edges, the power grid topology is represented as ; Represents a node set, consisting of a base node and a terminal node. represents an edge set; Delay calculation unit: calculates the total communication delay of the power grid topology as: ； in, represents the total communication delay of the power grid topology graph, represents the length of the edge between the qth node and the rth node, represents the sum of the lengths of the sides, represents the preset bandwidth of the qth node, represents the preset bandwidth of the rth node, represents the reliability factor of the edge between the qth and rth nodes in the power grid topology graph, ln( ) represents the logarithmic function, Indicates the set data transmission volume per unit time; represents the transmission speed of the transmission channel between the qth node and the rth node, They represent the historical intrusion times of the distribution terminals corresponding to the qth node and the rth node respectively; They represent the number of historical intrusions and prevention failures of the distribution terminals corresponding to the qth node and the rth node, respectively.

6. The integrated management system for distributed power distribution terminals according to claim 5, characterized in that: The network path module also includes: A judgment unit: if the total communication delay is greater than a preset target requirement threshold, the delay is determined to be too high, and a constraint condition is constructed according to the preset target requirement; Optimization unit: constructs the objective function based on the constraints combined with the linear programming algorithm, formulates a tree, connects the communication links between any two nodes, and obtains the constraint tree; Eliminate the necessary node connection relationships, and perform matching analysis on any remaining connection relationships according to the constraint conditions. If the matching degree is less than the preset standard, the corresponding connection relationship is determined to be a weak constraint relationship, and the corresponding connection relationship in the constraint tree is deleted; Iteratively analyze the matching degree of the remaining connection relationships except the necessary node connection relationship until the connection relationship of the constraint tree satisfies the objective function, and then the node connection relationship of the constraint tree is regarded as the optimal connection; Construct the optimal power grid topology based on the optimal connection.

7. The integrated management system for distributed power distribution terminals according to claim 1, characterized in that: Visualization module, including: Visualization unit: displaying the optimal power grid topology in a visual form according to the image network tool, and updating the working status of any power distribution terminal in the optimal power grid topology in real time; At the same time, the communication status of the link status between any two nodes is displayed, and different communication delays are represented by different colors.

8. The integrated management system for distributed power distribution terminals according to claim 1, characterized in that: The visualization module also includes: Abnormal processing unit: the abnormal value of the preset power distribution terminal is 1, and the complex value is 0; When a communication delay anomaly occurs, the abnormal value and the complex state value of the power distribution terminal where the communication delay anomaly occurs are exchanged; If the complex state value of the distribution terminal is detected to be 1, the protection mechanism of the distribution terminal is started; if the complex state value of the distribution terminal is detected to be 0, the protection mechanism of the distribution terminal is stopped.

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