An integrated management system for distributed distribution terminals

Abstract

The present invention provides an integrated management system for distributed distribution terminals, belonging to the technical field of terminal management, including: a data acquisition module: configuring a unique identifier for each distribution terminal, and configuring sensors for the corresponding distribution terminal to collect data, so as to obtain the operation parameter data of the distribution terminal; a data analysis module: analyzing the operation parameter data of any distribution terminal to determine the working state of the corresponding distribution terminal; a network path module: constructing a power grid topology map based on the distributed distribution terminals, and obtaining the total communication delay between the integrated management platform and all distribution terminals, and then optimizing the communication link between the distribution terminal and the system to obtain an optimal topology map; a visualization module: visually displaying all distribution terminals and their working states based on the optimal topology map. By optimizing the communication link and visual display, the management and operation efficiency of the distribution terminal are 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] With the continuous improvement of the power industry's demand for smart grids, automation control, and data monitoring, distributed power distribution networks have emerged. However, with the increase in power load, equipment aging, and the need for power demand to manage power distribution terminals, traditional power distribution terminal management methods only record and store the operation data of each terminal, that is, a single management of the terminal, which undoubtedly reduces the efficiency of the integrated management of multiple power distribution terminals.

[0003] Therefore, the present invention proposes an integrated management system for distributed power distribution terminals. Summary of the Invention

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

[0005] The present invention provides an integrated management system for distributed power distribution terminals, including:

[0006] Data acquisition module: Configure a unique identifier for each power distribution terminal, and configure sensors for the corresponding power distribution terminal to collect data, and obtain the operation parameter data of the power distribution terminal;

[0007] Data analysis module: Analyze the operation parameter data of any power distribution terminal to determine the working status of the corresponding power distribution terminal;

[0008] Network path module: Construct a power grid topology diagram based on the distributed power distribution terminal and the integrated management platform, and determine the total communication delay, and then optimize the communication link in the power grid topology diagram to obtain an optimal topology diagram;

[0009] Visualization module: Based on the optimal topology diagram, visually display all power distribution terminals and their working statuses.

[0010] On the other hand, the data acquisition module includes:

[0011] Data collection unit: Select data sensors according to the preset parameter types involved in all power distribution terminals, configure a unique first identifier for each data sensor, install and configure sensors for 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 the operation parameter data of the power distribution terminal, wherein the unique identifier of the power distribution terminal is related to the parameter types involved therein;

[0012] Interface unit: Construct communication interfaces between all configured sensors of any power distribution terminal and the integrated management platform according to network protocols, and control the communication interfaces to read the collected operation parameter data.

[0013] On the other hand, the data analysis module includes:

[0014] Initialization unit: Obtain the missing values in the collected data of any sensor configured with the power distribution terminal, and fill the missing values according to the data distribution algorithm to obtain the first data;

[0015] Split the first data according to the unit time length, and regard the individual data at each refined time point in each sub-split data as a first data point;

[0016] Obtain the reachable distance of each first data point through the preset nearby data volume, and obtain the outlier factor of each first data point based on the reachable distance:

[0017] ;

[0018] ;

[0019] Among them, represents the outlier factor of the first data point p, represents the local density of the first data point p and randomly selected 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, represents the ceiling symbol, represents the sum of the reachable distances of the neighboring data points of the first data point p based on the preset nearby data volume n, represents the adjustment coefficient, represents obtaining the global density of the data points involved in the historical collected data of the corresponding sensor when the refined time point of the first data point p is the start time of the corresponding sub-split data; represents obtaining the local density of the data points involved between the first data point p0 at the start time of collection of the corresponding sub-split data and the first data point p when the refined time point of the first data point p is not the start time of the corresponding sub-split data; 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;

[0020] If , mark the individual data of the first data point p as abnormal, where To set a threshold value, which is 0.5;

[0021] Based on the data without anomaly markings among all sub-split data under the same sensor, replace the individual data with anomaly markings to obtain the second data collected by the corresponding sensor.

[0022] On the other hand, the data analysis module further includes:

[0023] Parameter judgment unit: Obtain the balance factor of the second data under any sensor:

[0024] ;

[0025] Among them, represents the balance factor corresponding to the second data, represents the control threshold, m represents that there are m data points in total in the second data, represents the value of the j-th second data point in the second data, represents the average value of all second data points in the second data, represents the standard deviation of the second data, represents the reference standard value of the sensor, represents based on the reference standard value of the sensor the inverse function of the calibration function, represents based on the reference standard value of the sensor the calibration function;

[0026] If is greater than or equal to the preset threshold, it is determined that there is an abnormal operation of the corresponding power distribution terminal that is consistent with the type of acquisition parameters of the corresponding sensor. Otherwise, it is determined that the operation is normal;

[0027] Based on the second data of each sensor involved in any power distribution terminal and its corresponding working status, the total working status of the power distribution terminal is constituted.

[0028] On the other hand, the network path module includes:

[0029] Power grid topology map unit: Based on all power distribution terminals as basic nodes and the integrated management platform as the end node, and the connections between each node form edges, the power grid topology map is represented as ; represents the node set, which consists of basic nodes and end nodes, represents the edge set;

[0030] Delay calculation unit: Calculate the total communication delay of the power grid topology map as:

[0031] ;

[0032] Among them, represents the total communication delay of the power grid topology diagram, represents the length of the edge between the q-th node and the r-th node, represents the total length of the edges, represents the preset bandwidth of the q-th node, represents the preset bandwidth of the r-th node, represents the reliability factor of the edge between the q-th and r-th nodes in the power grid topology diagram, and ln( ) represents the logarithmic function, represents the set data transmission volume per unit time; represents the transmission speed of the transmission channel between the q-th node and the r-th node, respectively represent the historical intrusion times of the distribution terminals corresponding to the q-th node and the r-th node; respectively represent the historical intrusion and failed prevention times of the distribution terminals corresponding to the q-th node and the r-th node.

[0033] On the other hand, the network path module further includes:

[0034] Judgment unit: If the total communication delay is greater than the preset target demand threshold, it is determined that the delay is too high, and constraint conditions are constructed according to the preset target demand;

[0035] Optimization unit: Construct an objective function according to the constraint conditions in combination with the linear programming algorithm, formulate a tree, connect the communication links between any two nodes, and obtain a constraint tree;

[0036] Exclude the connection relationships of the necessary nodes, perform a matching degree analysis on the remaining any connection relationship according to the constraint conditions. If the matching degree is less than the preset standard degree, determine the corresponding connection relationship as a weak constraint relationship, and delete the corresponding connection relationship in the constraint tree;

[0037] Iteratively analyze the matching degrees of the remaining connection relationships except the connection relationships of the necessary nodes until the connection relationships of the constraint tree meet the objective function, and then regard the node connection relationships of the obtained constraint tree as the optimal connections;

[0038] Construct an optimal power grid topology diagram based on the optimal connections.

[0039] On the other hand, the visualization module includes:

[0040] Visualization unit: According to the image network tool, display the optimal power grid topology diagram in a visual form, and update the working state of any distribution terminal in the optimal power grid topology diagram in real time;

[0041] At the same time, display the communication status of the link status between any two nodes, and different communication delays are represented by different colors.

[0042] On the other hand, the visualization module further includes:

[0043] Anomaly handling unit: The preset anomaly value of the distribution terminal is 1, and the restoration value is 0;

[0044] When a communication delay anomaly occurs, exchange the anomaly value and the restoration value of the distribution terminal with the communication delay anomaly;

[0045] If the restoration value of the distribution terminal is detected to be 1, start the protection mechanism of the distribution terminal. If the restoration value of the distribution terminal is detected to be 0, stop the protection mechanism of the distribution terminal.

[0046] Compared with the prior art, the beneficial effects of this application are:

[0047] Through data acquisition, analysis, and optimization, construct and optimize the power grid topology map of the distribution terminal, monitor the working status of each terminal in real time, and finally achieve efficient management of distributed distribution terminals through visual display.

[0048] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings.

[0049] The following will further describe the technical solutions of the present invention in detail through the drawings and embodiments. Description of the Drawings

[0050] The 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 to the present invention. In the drawings:

[0051] Figure 1 It is a structural diagram of a comprehensive management system for a distributed distribution terminal in an embodiment of the present invention. Detailed Embodiments

[0052] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to explain and illustrate the present invention, and are not used to limit the present invention.

[0053] A comprehensive management system for a distributed distribution terminal provided by an embodiment of the present invention, as Figure 1 shown, includes:

[0054] 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 operation parameter data of the distribution terminal;

[0055] Data analysis module: Analyze the operation parameter data of any distribution terminal to determine the working state of the corresponding distribution terminal;

[0056] Network path module: Construct a power grid topology map based on distributed distribution terminals and an integrated management platform, determine the total communication delay, and then optimize the communication links in the power grid topology map to obtain an optimal topology map;

[0057] Visualization module: Based on the optimal topology map, visually display all distribution terminals and their working states.

[0058] In this embodiment, the distribution terminal is a key device in the distribution network, responsible for real-time monitoring, collecting, transmitting, and controlling various operation parameters in the distribution system.

[0059] In this embodiment, the identifier is a code used to uniquely identify each distribution terminal, usually composed of a group of numbers, letters, or a combination of both, ensuring that each distribution terminal is uniquely identifiable in the system.

[0060] In this embodiment, the sensor is a device used to real-time monitor and collect the operation parameters of the distribution terminal, including: current, voltage, power, watt-hour meter, temperature, etc.

[0061] In this embodiment, the operation parameter data refers to the key data describing the current working state of the distribution terminal, including: current, voltage, power, watt-hour meter, temperature, etc.

[0062] In this embodiment, the working state refers to the operation situation of the distribution terminal at a specific time point.

[0063] In this embodiment, the power grid topology map is a diagram of the spatial and connection relationships between various components in the power system.

[0064] In this embodiment, the total communication delay refers to the total time delay experienced in the whole process of data transmission from one distribution terminal to the target device in the power system or network.

[0065] In this embodiment, the communication link refers to the data transmission channel connecting different devices and modules.

[0066] In this embodiment, the optimal topology map refers to the power grid topology structure that reduces the overall communication delay and improves the data transmission efficiency by optimizing the communication links between distribution terminals.

[0067] The beneficial effects of the above technical solutions are: Through data collection, analysis, and optimization, construct and optimize the power grid topology map of the distribution terminal, real-time monitor the working states of each terminal, and finally achieve efficient management of distributed distribution terminals through visual display.

[0068] An integrated management system for distributed distribution terminals provided by an embodiment of the present invention, the data acquisition module includes:

[0069] Data acquisition unit: According to the preset parameter types involved in all distribution terminals, select data sensors, configure a unique first identifier for each data sensor, and install and configure sensors for the corresponding distribution terminals according to the matching relationship between the unique identifier of any distribution terminal and the first identifier, and collect the operation parameter data of the distribution terminals, where the unique identifier of the distribution terminal is related to the parameter types involved by itself;

[0070] Interface unit: Build a communication interface between all configured sensors of any distribution terminal and the integrated management platform according to the network protocol, and control the communication interface to read the collected operation parameter data.

[0071] In this embodiment, the preset parameter types refer to the specific operation data that needs to be monitored and collected in the distribution terminals, including: current, voltage, power, watt-hour meter, temperature, etc.

[0072] In this embodiment, the first identifier refers to the unique identifier of each data sensor.

[0073] In this embodiment, the matching relationship refers to the mapping or corresponding relationship between the unique identifier of the distribution terminal and the first identifier of the data sensor.

[0074] In this embodiment, the communication interface refers to the medium for information exchange between the distribution terminal and the integrated management platform during data acquisition and transmission.

[0075] In this embodiment, the integrated management platform is an integrated system for centrally managing and monitoring various devices and data in the distribution system.

[0076] The beneficial effects of the above technical solutions are: By configuring unique identifiers and sensors for the distribution terminals, accurate data acquisition is achieved, and a communication interface is built through the interface unit to achieve data transmission and reading, thereby improving the monitoring accuracy of the distribution terminals and the data transmission efficiency, and enhancing the overall intelligent level of power grid management.

[0077] An integrated management system for distributed distribution terminals provided by an embodiment of the present invention, the data analysis module includes:

[0078] Initialization unit: Obtain the missing values in the acquisition data of any sensor configured with the distribution terminal, and fill the missing values according to the data distribution algorithm to obtain the first data;

[0079] Split the first data according to the unit time length, and regard the individual data at each refined time point in each sub-split data as a first data point;

[0080] Obtain the reachable distance of each first data point by presetting the nearby data volume, and obtain the outlier factor of each first data point based on the reachable distance:

[0081] ;

[0082]

[0083] Among them, represents the outlier factor of the first data point p, represents the local density of the first data point p and randomly selected 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, represents the ceiling symbol, represents the sum of the reachable distances of the neighboring data points of the first data point p based on the preset nearby data volume n, represents the adjustment coefficient, represents obtaining the global density of the data points involved in the corresponding sensor historical acquisition data when the refined time point of the first data point p is the start time of the corresponding sub-split data; represents obtaining the local density of the data points involved from the first data point p0 at the start time of acquisition to the first data point p of the corresponding sub-split data when the refined time point of the first data point p is not the start time of the corresponding sub-split data; 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;

[0084] If , mark the individual data of the first data point p as abnormal, where is the set threshold, with a value of 0.5;

[0085] Replace the individually marked data with the data that has not been marked as abnormal in all sub-split data under the same sensor to obtain the second data collected by the corresponding sensor.

[0086] In this embodiment, the missing value refers to the missing items of some data items in the dataset.

[0087] In this embodiment, the data distribution algorithm refers to the technology used for data filling, imputation, or estimation to deal with missing values or incomplete situations in the data, including the mean filling method, etc.

[0088] In this embodiment, the first data refers to the data set obtained after filling the missing values in the data collected by the distribution terminal sensors through the data distribution algorithm.

[0089] In this embodiment, the unit time length refers to the basic time period for dividing the data collected by the sensor according to time. For example, it is 10 seconds, and the individual data under each 1 second is regarded as a data point.

[0090] In this embodiment, the sub-split data refers to the data subset within each time period obtained by splitting the original data according to the unit time length.

[0091] In this embodiment, the reachable distance is a metric for measuring the relative distance between a data point and other data points around it.

[0092] In this embodiment, the outlier factor is an index used to measure the degree of abnormality of a data point in a given data set.

[0093] In this embodiment, the local density refers to the density of other data points within the neighborhood range of a certain data point.

[0094] In this embodiment, the preset near data volume refers to the number of neighboring data points preset for calculating the local density of each data point during the data processing.

[0095] 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.

[0096] In this embodiment, the set threshold is a judgment parameter for determining whether a certain data point is an abnormal data point.

[0097] In this embodiment, the second data is a new data set obtained by filling the abnormally marked data points and retaining the normal data points.

[0098] The beneficial effects of the above technical solutions are as follows: By filling the missing values, splitting the data, and calculating the outlier factor of each data point, the abnormal data is identified and marked. By replacing the abnormal data, the second data collected by the sensor is optimized, improving the accuracy and reliability of the data, which helps to improve the data analysis quality of the distribution terminal.

[0099] A comprehensive management system for a distributed distribution terminal provided by an embodiment of the present invention, the data analysis module further includes:

[0100] Parameter judgment unit: Obtain the balance factor of the second data under any sensor:

[0101] ;

[0102] Wherein, Represents the balance factor corresponding to the second data, Represents the control threshold, and 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 second data points in the second data, Represents the standard deviation of the second data, Represents the reference standard value of the sensor, Represents based on the reference standard value of the sensor The inverse function of the calibration function, Represents based on the reference standard value of the sensor The calibration function;

[0103] If Is greater than or equal to the preset threshold, it is determined that there is an abnormal operation with the same type of acquisition parameter as the corresponding sensor for the corresponding power distribution terminal. Otherwise, it is determined that the operation is normal;

[0104] Based on the second data of each sensor involved in any power distribution terminal and its corresponding working state, the total working state of the power distribution terminal is constituted.

[0105] In this embodiment, the balance factor is a value used to measure the deviation between the second data points collected by the sensor and a certain reference standard.

[0106] In this embodiment, the control threshold is a standard value used to determine whether the sensor data deviates from the normal range.

[0107] In this embodiment, the inverse function refers to a function that restores the effect of the original function.

[0108] In this embodiment, the calibration function refers to a mathematical function that adjusts the output value of the sensor to a more accurate or standard-compliant value.

[0109] In this embodiment, through the inverse operation, the calibrated standard value is restored to the original output data of the sensor, and Is used to adjust the output data of the sensor to make it conform to the actual measured value.

[0110] In this embodiment, the preset threshold is a preset value used to determine whether the system is judged as having an abnormal operation.

[0111] The beneficial effects of the above technical solutions are: By calculating the balance factor of the data collected by the sensor, it is judged whether there is an abnormal operation of the power distribution terminal. If the balance factor exceeds the threshold, it is determined as abnormal; otherwise, it is considered normal. This method helps to accurately monitor the terminal state and improve the stability and reliability of the power grid operation.

[0112] An integrated management system for a distributed distribution terminal provided by an embodiment of the present invention, the network path module includes:

[0113] Power grid topology map unit: Based on all distribution terminals as basic nodes and the integrated management platform as the end node, and the connections between each node form edges. The power grid topology map is represented as ; represents the node set, which consists of basic nodes and end nodes, represents the edge set;

[0114] Delay calculation unit: Calculate the total communication delay of the power grid topology map as:

[0115] ;

[0116] Wherein, represents the total communication delay of the power grid topology map, represents the length of the edge between the qth node and the rth node, represents the total length of the edges, 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 map, ln( ) represents the logarithmic function, represents the set data transmission amount per unit time; represents the transmission speed of the transmission channel between the qth node and the rth node, respectively represent the historical intrusion times of the distribution terminals corresponding to the qth node and the rth node; respectively represent the historical intrusion and failed prevention times of the distribution terminals corresponding to the qth node and the rth node.

[0117] In this embodiment, a node refers to a key element in the power grid, representing a distribution terminal, a management platform, or a device in other networks.

[0118] In this embodiment, an edge refers to a communication path or transmission channel connecting different nodes.

[0119] 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.

[0120] In this embodiment, the reliability factor is a parameter used to represent the reliability in the power grid. Higher quality usually means more stable connections and lower failure rates.

[0121] In this embodiment, the set data transmission volume refers to the amount of data that needs to be transmitted between each node (distribution terminal) in the power grid topology diagram and other nodes within a specific time unit.

[0122] 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.

[0123] In this embodiment, the historical intrusion count refers to the number of unauthorized intrusion attempts or attacks that a node has suffered within a certain time range.

[0124] The beneficial effects of the above technical solution are as follows: By constructing a power grid topology diagram and calculating communication delays, considering factors such as node bandwidth, transmission speed, and historical intrusion count, the power grid communication link is optimized. It can accurately evaluate and improve the power grid communication efficiency, ensuring more stable and reliable data transmission and monitoring of distribution terminals.

[0125] A comprehensive management system for distributed distribution terminals provided by an embodiment of the present invention, the network path module, further includes:

[0126] Judgment unit: If the total communication delay is greater than the preset target demand threshold, it is determined that the delay is too high, and constraint conditions are constructed according to the preset target demand;

[0127] Optimization unit: Construct an objective function according to the constraint conditions in combination with the linear programming algorithm, formulate a tree, connect the communication links between any two nodes, and obtain a constraint tree;

[0128] Exclude the connection relationships of necessary nodes, perform a matching degree analysis on the remaining any connection relationship according to the constraint conditions. If the matching degree is less than the preset standard degree, determine the corresponding connection relationship as a weak constraint relationship, and delete the corresponding connection relationship in the constraint tree;

[0129] Iteratively analyze the matching degrees of the remaining connection relationships except for the connection relationships of necessary nodes until the connection relationships of the constraint tree meet the objective function, and then regard the node connection relationships of the obtained constraint tree as the optimal connections;

[0130] Construct an optimal power grid topology diagram based on the optimal connections.

[0131] In this embodiment, the preset target demand threshold refers to an ideal communication delay value set based on communication performance requirements in the power grid system.

[0132] In this embodiment, the constraint conditions refer to the restrictive conditions that must be complied with in order to ensure that the communication delay meets the target demand when optimizing the power grid topology design.

[0133] In this embodiment, the linear programming algorithm is an optimization method mainly used to solve problems with linear objective functions and linear constraint conditions.

[0134] In this embodiment, the objective function is a function used to optimize the total communication delay and ensure that it meets the preset target requirements.

[0135] In this embodiment, the constraint tree is a structure used to describe and manage the connection relationships between nodes during the optimization process.

[0136] In this embodiment, the must - node connection relationship refers to the connection relationship between nodes that cannot be removed or replaced based on target requirements, constraint conditions, or specific requirements in the optimization problem.

[0137] In this embodiment, the matching degree is an index used to measure the degree of compliance between a connection relationship and the constraint conditions.

[0138] In this embodiment, the preset standard degree is a threshold used to measure the matching degree between the connection relationship and the target requirements during the optimization process.

[0139] In this embodiment, the weak constraint relationship refers to a connection relationship that, although meeting certain basic requirements during the optimization process, fails to reach the preset standard degree in the matching degree analysis.

[0140] In this embodiment, the optimal connection refers to the connection relationship between nodes that is finally selected as the most in line with the target requirements after matching degree analysis and iterative optimization through constraint conditions and linear programming algorithms during the optimization process.

[0141] The beneficial effects of the above - mentioned technical solution are as follows: By calculating the communication delay and applying linear programming to optimize the power grid topology diagram, weak constraint relationships are excluded, the connection relationships are iteratively adjusted, and finally the optimal node connections are obtained. The power grid communication link is optimized, the delay is reduced, and the operation efficiency and stability of the power grid are improved.

[0142] A comprehensive management system for a distributed distribution terminal provided by an embodiment of the present invention, the visualization module includes:

[0143] A visualization unit: According to the image network tool, display the optimal power grid topology diagram in a visual form, and update the working status of any distribution terminal in the optimal power grid topology diagram in real - time;

[0144] At the same time, display the communication status of the link status between any two nodes, and different communication delays are represented by different colors.

[0145] In this embodiment, the image network tool refers to a software tool used for drawing, displaying, and analyzing network topology diagrams.

[0146] In this embodiment, the communication status refers to the connection status and communication quality between different nodes in the network.

[0147] The working principle and beneficial effects of the above technical solution are as follows: The optimal power grid topology diagram is visually displayed through an image network tool, and the working status of the distribution terminal is updated in real time. Different communication delays are distinguished by colors to intuitively present the link status, improving the efficiency of power grid management and monitoring and helping to identify and solve problems in a timely manner.

[0148] A comprehensive management system for a distributed distribution terminal provided by an embodiment of the present invention, the visualization module further includes:

[0149] Abnormality handling unit: The preset abnormal value of the distribution terminal is 1, and the restoration value is 0;

[0150] When a communication delay abnormality occurs, the abnormal value and the restoration value of the distribution terminal with the communication delay abnormality are exchanged;

[0151] If it is detected that the restoration value of the distribution terminal is 1, the protection mechanism of the distribution terminal is started, and if it is detected that the restoration value of the distribution terminal is 0, the protection mechanism of the distribution terminal is stopped.

[0152] In this embodiment, the abnormal value is an indication for identifying the abnormal state of the distribution terminal.

[0153] In this embodiment, the restoration value represents an indication of the distribution terminal returning to the normal state.

[0154] In this embodiment, the protection mechanism refers to a series of measures taken for the distribution terminal or the entire power system, including functions such as monitoring of the distribution terminal, fault isolation, alarm triggering, and automatic restoration.

[0155] The beneficial effects of the above technical solution are as follows: By detecting communication delay abnormalities, the abnormal value and the restoration value of the distribution terminal are dynamically adjusted, triggering the protection mechanism or stopping the protection mechanism. Automatic response is achieved, improving the real-time performance and efficiency of power grid fault handling and ensuring the safe and stable operation of the distribution terminal.

[0156] 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 equivalent technologies, the present invention is also intended to include these changes and modifications.

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: 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; Wherein, 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.

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 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.

6. 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.

7. 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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