An evaluation method and system for power distribution communication network under extreme disaster

Abstract

The application discloses an evaluation method and system for a power distribution communication network under extreme disasters, and fully considers the correlation characteristics of a power distribution system power grid and a communication network by constructing a double-network coupling model of a 10kV line of the power distribution system, a power grid node failure model under extreme disasters, and a communication node failure model after losing energy supply of the power grid node under extreme disasters, and accurately judges the failure conditions of the power grid node and the communication node, generates a probability distribution of a wind speed flowing through the power grid node under extreme disasters, and truly simulates the wind speed conditions to provide a basis for judging the power grid node failure, carries out cascade failure simulation based on the double-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under extreme disasters, the communication node failure model after losing energy supply of the power grid node under extreme disasters, and the probability distribution of the wind speed flowing through the power grid node under extreme disasters, and further evaluates the reliability of the communication network, and improves the accuracy and practicality of the reliability evaluation of the communication network.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power distribution systems, and in particular to a method and system for evaluating power distribution communication networks under extreme disasters. BACKGROUND

[0002] In today's society, with the continuous development of technology and the increasing demand for electricity, power distribution systems have gradually become an important development direction in the field of electricity. Power distribution systems have characteristics such as intelligence, efficiency, flexibility, etc., and can better meet the requirements of users for power quality and reliability. However, extreme disaster events such as earthquakes, floods, hurricanes, etc. have a greater impact on power distribution systems. These extreme disasters may cause damage to power distribution system equipment, communication interruption, power interruption, etc., which seriously affects the normal operation of society. Therefore, under extreme disasters, it is crucial to evaluate the reliability of power distribution communication networks.

[0003] Traditional power distribution system communication network reliability evaluation methods mainly focus on communication performance under normal operating conditions, and do not consider the situation under extreme disasters. In addition, with the continuous application of intelligent devices and communication technology in power distribution systems, traditional evaluation methods cannot accurately reflect the characteristics and needs of power distribution communication networks, resulting in a decrease in the accuracy of evaluation. In order to solve these problems, it is necessary to develop a method for evaluating the reliability of power distribution communication networks under extreme disasters. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a method and system for evaluating power distribution communication networks under extreme disasters, which can improve the accuracy and practicality of communication network reliability evaluation.

[0005] In order to solve the above technical problems, a technical solution adopted by the present application is:

[0006] A method for evaluating power distribution communication networks under extreme disasters, comprising the steps of:

[0007] Constructing a dual-network coupling model of the 10kV line of the power distribution system based on the correlation characteristics of the power grid and communication network of the power distribution system;

[0008] Constructing a power grid node failure model under extreme disasters, and constructing a communication node failure model after losing power grid node energy supply under extreme disasters;

[0009] Generating a probability distribution of wind speed flowing through the power grid node under extreme disasters;

[0010] Based on the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the power grid node under the extreme disaster, and the probability distribution of the wind speed flowing through the power grid node under the extreme disaster, a cascading failure simulation is performed to obtain the number of effective communication nodes, and the reliability of the communication network of the power distribution system is evaluated based on the number of effective communication nodes.

[0011] To solve the above technical problems, another technical solution adopted by the present application is:

[0012] An evaluation system for a power distribution communication network under an extreme disaster includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the following steps when executing the computer program:

[0013] A dual-network coupling model of the 10kV line of the power distribution system is constructed based on the correlation characteristics of the power grid and the communication network of the power distribution system.

[0014] A power grid node failure model under an extreme disaster is constructed, and a communication node failure model after losing the energy supply of the power grid node under the extreme disaster is constructed.

[0015] A probability distribution of the wind speed flowing through the power grid node under the extreme disaster is generated.

[0016] Based on the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the power grid node under the extreme disaster, and the probability distribution of the wind speed flowing through the power grid node under the extreme disaster, a cascading failure simulation is performed to obtain the number of effective communication nodes, and the reliability of the communication network of the power distribution system is evaluated based on the number of effective communication nodes.

[0017] The present application has the following advantages: By constructing the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under the extreme disaster, and the communication node failure model after losing the energy supply of the power grid node under the extreme disaster, the correlation characteristics of the power grid and the communication network of the power distribution system are fully considered, and the failure conditions of the power grid node and the communication node are accurately determined. The probability distribution of the wind speed flowing through the power grid node under the extreme disaster is generated, which can truly simulate the wind speed conditions and provide a basis for determining the power grid node failure. Based on the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the power grid node under the extreme disaster, and the probability distribution of the wind speed flowing through the power grid node under the extreme disaster, a cascading failure simulation is performed to evaluate the reliability of the communication network, thereby improving the accuracy and practicality of the reliability evaluation of the communication network. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 A step flow chart of an evaluation method of a power distribution communication network under an extreme disaster for an embodiment of the present application;

[0019] Figure 2 A structural schematic diagram of an evaluation system of a power distribution communication network under an extreme disaster for an embodiment of the present application;

[0020] Figure 3 A power distribution system schematic diagram of a 10kv line in the evaluation method of a power distribution communication network under an extreme disaster for an embodiment of the present application;

[0021] Figure 4 A schematic diagram of communication network reliability changing with node quantity in the evaluation method of a power distribution communication network under an extreme disaster for an embodiment of the present application;

[0022] Figure 5 A schematic diagram of communication network reliability changing with a proportion of dual-mode communication configuration in the evaluation method of a power distribution communication network under an extreme disaster for an embodiment of the present application. DETAILED DESCRIPTION

[0023] To make the technical content, the achieved purposes and effects of the present application clear, the following will be described in detail in combination with embodiments and the accompanying drawings.

[0024] Please refer to Figure 1 An evaluation method of a power distribution communication network under an extreme disaster, comprising the steps of:

[0025] Based on the correlation characteristics of the power grid and the communication network of the power distribution system, a dual-network coupling model of the 10kV line of the power distribution system is constructed;

[0026] A power grid node failure model under an extreme disaster is constructed, and a communication node failure model after losing energy supply of the power grid node under an extreme disaster is constructed;

[0027] A probability distribution of wind speed flowing through the power grid node under an extreme disaster is generated;

[0028] Based on the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under an extreme disaster, the communication node failure model after losing energy supply of the power grid node under an extreme disaster, and the probability distribution of wind speed flowing through the power grid node under an extreme disaster, a cascading failure simulation is performed to obtain the number of effective communication nodes, and the reliability of the communication network of the power distribution system is evaluated based on the number of effective communication nodes.

[0029] From the above description, the beneficial effects of the present application are that: by constructing the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under extreme disasters, and the communication node failure model after losing the energy supply of the power grid node under extreme disasters, the correlation characteristics of the power distribution system power grid and the communication network are fully considered, and the failure conditions of the power grid nodes and the communication nodes are accurately determined, the probability distribution of the wind speed flowing through the power grid node under extreme disasters is generated, the wind speed condition can be truly simulated, and basis for judging the failure of the power grid node is provided, the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under extreme disasters, the communication node failure model after losing the energy supply of the power grid node under extreme disasters and the probability distribution of the wind speed flowing through the power grid node under extreme disasters are used for cascade failure simulation, and then the reliability of the communication network is evaluated, and the accuracy and practicability of the reliability evaluation of the communication network are improved.

[0030] Further, the dual-network coupling model of the 10kV line of the power distribution system based on the correlation characteristics of the power distribution system power grid and the communication network comprises:

[0031] ;

[0032] ;

[0033] ;

[0034] ;

[0035] ;

[0036] ;

[0037] ;

[0038] ;

[0039] In the formula, Pi, m represents the number of power grid nodes, Pi, m represents the number of power grid nodes, Cj, n represents the number of communication network nodes, Cj, n represents the number of communication network nodes, The directed energy flow correlation matrix of the power grid, The directed energy flow correlation matrix of the power grid, The directed information flow redundancy communication technology configuration matrix of the communication network, The directed information flow redundancy communication technology configuration matrix of the communication network, The power grid, The power grid, a connection matrix between the power grid and the communication network, represents whether the power grid node i supplies power to the communication network node j and whether the communication network node j monitors the relevant service state of the power grid node i at the same time, and G represents a dual-network coupling model of the 10kV line of the power distribution system.

[0040] As can be seen from the above description, the dual-network coupling model of the 10kV line of the power distribution system comprehensively presents the system structure and operation logic by accurately describing the power grid and communication network node set, energy flow and information flow association matrix and connection matrix, so that the reliability evaluation of the communication network is in line with the actual situation and the practicability is improved.

[0041] Further, the method further comprises:

[0042] The power grid node failure model under the extreme disaster is constructed according to the wind speed flowing through the historical power grid node.

[0043] As can be seen from the above description, the power grid node failure model under the extreme disaster is constructed according to the wind speed flowing through the historical power grid node, which can consider the invulnerability of equipment facing different wind speeds and ensure more accurate reliability evaluation of the subsequent communication network.

[0044] Further, the method further comprises:

[0045] ;

[0046] ;

[0047] In the formula, represents the state of the power grid node i at time, u represents a uniformly distributed number, represents the failure rate of the line of the power grid node i at different wind speeds at different wind speeds, v represents the real-time wind speed size corresponding to the position of the power distribution grid under the extreme disaster, and V represents the maximum wind-resistant wind speed when the line is designed.

[0048] As can be seen from the above description, the power grid node failure model under the extreme disaster is based on historical data and adopts a segmented function combined with a Monte Carlo sampling method to consider the influence of different wind speeds on the failure rate, accurately determine the power grid node failure under the extreme disaster, and improve the accuracy of the reliability evaluation of the communication network.

[0049] Further, the method further comprises:

[0050] ;

[0051] wherein, represents whether the communication network node j is failed after the occurrence of the extreme disaster, represents a set of power grid nodes, represents whether the power grid node i is failed, represents whether the power grid node i coupled with the communication network node j is destroyed, represents whether a battery is configured inside the communication network node j, represents whether the communication network node j is configured with local communication.

[0052] As can be seen from the above description, the communication node failure model after losing energy supply of the power grid node under the extreme disaster comprehensively evaluates the invulnerability of the communication node after losing energy supply of the power grid, accurately judges the failure of the communication node, and improves the accuracy and practicability of the reliability evaluation of the communication network.

[0053] Further, the generating of the probability distribution of the wind speed flowing through the power grid node under the extreme disaster comprises:

[0054]

[0055] wherein, represents the wind speed flowing through the power grid node i, k represents a shape parameter of the Weibull distribution, and c represents a scale parameter of the Weibull distribution, represents a Weibull probability density function.

[0056] As can be seen from the above description, the probability distribution of the wind speed flowing through the power grid node under the extreme disaster is generated, the wind speed condition is truly simulated, a basis for judging the failure of the power grid node is provided, and the accuracy of the judgment result is ensured.

[0057] Further, the cascade failure simulation based on the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under the extreme disaster, the communication node failure model after losing energy supply of the power grid node under the extreme disaster, and the probability distribution of the wind speed flowing through the power grid node under the extreme disaster obtains the number of effective communication nodes, which comprises:

[0058] determining the wind speed flowing through each power grid node according to the probability distribution of the wind speed flowing through the power grid node under the extreme disaster;

[0059] determining the failure of each power grid node according to the wind speed flowing through each power grid node and the power grid node failure model under the extreme disaster;

[0060] determining the affected communication network node according to the dual-network coupling model of the 10kV line of the power distribution system and the failure of each power grid node; ​

[0061] determining the working state of the affected communication network node according to the extreme disaster communication network node failure model after losing the power supply of the power grid node energy;

[0062] determining the number of effective communication network nodes according to the working state of the affected communication network node.

[0063] From the above description, it can be seen that the wind speed of the power grid node, the failure condition, the affected communication node and the working state are determined in turn through the cascade failure simulation, and finally the number of effective communication nodes is determined, which accurately simulates the behavior of the system under extreme disasters and improves the accuracy and practicality of the subsequent evaluation of the communication network.

[0064] Further, the reliability of the communication network of the power distribution system based on the number of effective communication nodes includes:

[0065] determining a set of normally working communication network nodes according to the number of effective communication nodes;

[0066] obtaining the number of simulation times of the cascade failure simulation;

[0067] evaluating the reliability of the communication network of the power distribution system based on the number of simulation times, the set of normally working communication network nodes and the importance of the communication network nodes.

[0068] From the above description, it can be seen that in the process of evaluating the reliability of the communication network, the node importance, the reliability between nodes and the link channel and other factors are comprehensively considered to avoid the limitation of a single index, fully and accurately measure the reliability of the communication network, and improve the evaluation quality.

[0069] Further, the reliability of the communication network of the power distribution system based on the number of simulation times, the set of normally working communication network nodes and the importance of the communication network nodes includes:

[0070] ;

[0071] ;

[0072] ;

[0073] ;

[0074] In the formula, represents the reliability of the communication network, Z represents the number of simulation times, z represents the number of simulation times, represents the set of normally working communication network nodes, represents the set of communication network nodes, represents the importance of node i, n represents the number of nodes, represents the degree of node i, represents the reliability between node i and node j, represents the reliability of an independent channel between node i and node j, represents the reliability of an independent channel between node i and node j, represents the connection path between node i and node j, represents the connection path between node i and node j, represents the connection path between node i and node j.

[0075] As can be known from the above description, the reliability of the communication network of the power distribution system is evaluated based on the number of simulations, the set of normally operating communication network nodes and the importance of the communication network nodes, the reliability reflects the disaster recovery capability of the communication network, and accurate and reliable communication network evaluation is achieved.

[0076] Please refer to Figure 2 , another embodiment of the application provides an evaluation system for a power distribution communication network under extreme disasters, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements each step in the above-mentioned evaluation method for a power distribution communication network under extreme disasters when executing the computer program.

[0077] The above-mentioned evaluation method and system for a power distribution communication network under extreme disasters can be applied to the scenario of evaluating the reliability of a power distribution communication network under extreme disasters, and the following will be described through a specific embodiment:

[0078] Please refer to Figure 1 , Figures 3 to 5 , the embodiment one of the application is:

[0079] An evaluation method for a power distribution communication network under extreme disasters, comprising the steps of:

[0080] S1, constructing a dual-network coupling model of a 10kV line of a power distribution system based on the correlation characteristics of a power grid and a communication network of the power distribution system, comprising:

[0081] ;

[0082] ;

[0083] ;

[0084] ;

[0085] ;

[0086] ;

[0087] ;

[0088] ;

[0089] wherein, denotes the set of grid nodes, denotes the grid node pi, and m denotes the number of grid nodes, denotes the set of communication network nodes, denotes the communication network node cj, and n denotes the number of communication network nodes, denotes the directed energy flow correlation matrix of the grid, denotes the correlation between whether the grid node i is failed and the energy supply of the grid node j, when denotes that the grid node j will definitely lose energy supply if the grid node i is failed, when denotes that the grid node i is not associated with whether the grid node j is failed, denotes the directed information flow redundant communication technology configuration matrix of the communication network, denotes whether the communication network node i is configured with redundant communication technology, when denotes that the communication network node i is facing the corresponding cloud master station, and in addition to the conventional 4G / 5G technology, it can also be linked to the nearby high-reliability data access point through the configuration of redundant local communication technology, assuming that such a high-reliability data access point can work normally when there is a record of the passage of the highest level typhoon, when denotes that the communication network node i is not configured with redundant communication technology, considering that the impact of typhoon disasters is large, and assuming that the nearby operator base station also cannot work normally with the device hanging once the node is failed, denotes the grid, denotes the communication network, denotes the connection matrix between the grid and the communication network, denotes whether the grid node i is powered by the communication network node j, and whether the communication network node j simultaneously monitors the relevant business status of the grid node i, when denotes that the grid node i is powered by the communication network node j, and the communication network node j simultaneously monitors the relevant business status of the grid node i, when denotes that the grid node i is not powered by the communication network node j, and the communication network node j does not monitor the relevant business status of the grid node i, and G denotes the dual-network coupling model of the 10kV line of the power distribution system.

[0090] The dual-network coupling model of the 10kV line of the power distribution system fully considers the correlation characteristics of the grid and the communication network of the power distribution system, accurately describes the set of grid and communication network nodes, the energy flow and information flow correlation matrix, and the connection matrix, comprehensively presents the system structure and operation logic, makes the evaluation close to the actual situation, and improves the practicality of the evaluation.

[0091] S2, construct a power grid node failure model under extreme disasters, and construct a communication node failure model after losing energy supply of the power grid node under extreme disasters.

[0092] In an optional implementation, the extreme disaster includes an earthquake, a flood, a typhoon, etc.

[0093] The constructing the power grid node failure model under the extreme disaster includes:

[0094] According to the wind speed flowing through the historical power grid node, the power grid node failure model under the extreme disaster is constructed, the entire evaluation process is divided into n The failure rate of the power grid node under each is calculated one by one, and the Monte Carlo state sampling method is used to determine the final state of the power distribution network distribution system power grid node. Specifically:

[0095]

[0096]

[0097] In the formula, indicates the state of the power grid node i at the moment of t, indicates that the power grid node i is in a running state, indicates that the power grid node i is in a fault shutdown state, u indicates a uniformly distributed number, and the uniformly distributed number u is randomly generated in the interval [0, 1] from the beginning. indicates the failure rate of the line of the power grid node i at the moment of t under different wind speeds, indicates the failure rate of the line under different wind speeds, and v indicates the real-time wind speed size corresponding to the position of the power distribution network under the extreme disaster.

[0098] When the number of failures of the power grid node i is greater than or equal to n / 2, it indicates that the power grid node i fails, , otherwise .

[0099] The power grid node failure model under the extreme disaster is based on historical data, adopts a segmented function, and considers the invulnerability of the equipment to different wind speeds by using the Monte Carlo sampling method, accurately determines the failure of the power grid node under the extreme disaster, and improves the accuracy of subsequent evaluation.

[0100] The constructing the communication node failure model after losing energy supply of the power grid node under the extreme disaster includes:

[0101] ;​​​​​​​​​​​

[0102] wherein, denotes whether the communication network node j is failed after the occurrence of the extreme disaster, if the communication network node j can still work normally, then , otherwise , denotes the set of power grid nodes, denotes whether the power grid node i is failed, if , then the power grid node i is failed, if , then the power grid node i is not failed, denotes whether the power grid node i coupled with the communication network node j is destroyed, if the power grid node i coupled with the communication network node j works normally, then , otherwise , denotes whether the communication network node j is configured with a battery, if the communication network node j is configured with a battery, then , otherwise , denotes whether the communication network node j is configured with a local communication, if the communication network node j is configured with a local communication, then , otherwise .

[0103] The communication network node failure model after the loss of power supply of the power grid node under the extreme disaster considers the power supply and the configuration of the multi-mode communication technology, comprehensively evaluates the invulnerability after the loss of power supply of the power grid node, and accurately judges the failure of the communication network node, thereby improving the evaluation accuracy and practicability.

[0104] S3, generating a probability distribution of the wind speed flowing through the power grid node under the extreme disaster, specifically:

[0105] ;

[0106] wherein, denotes the wind speed flowing through the power grid node i, k denotes a shape parameter of the Weibull distribution, and c denotes a scale parameter of the Weibull distribution, denotes a Weibull probability density function.

[0107] The probability distribution of the wind speed flowing through the power grid node under the extreme disaster truly simulates the wind speed, provides a basis for judging the failure of the power grid node, and enhances the accuracy.

[0108] S4, performing a cascading failure simulation based on the dual-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under the extreme disaster, the communication node failure model after losing energy supply of the power grid node under the extreme disaster, and the probability distribution of the wind speed flowing through the power grid node under the extreme disaster to obtain the number of effective communication nodes, and evaluating the reliability of the communication network of the power distribution system based on the number of effective communication nodes, specifically comprising:

[0109] S41, determining the wind speed flowing through each power grid node according to the probability distribution of the wind speed flowing through the power grid node under the extreme disaster.

[0110] S42, determining the failure condition of each power grid node according to the wind speed flowing through each power grid node and the power grid node failure model under the extreme disaster.

[0111] S43, determining the affected communication network node according to the dual-network coupling model of the 10kV line of the power distribution system and the failure condition of each power grid node.

[0112] S44, determining the working state of the affected communication network node, i.e., whether the affected communication network node can continue to work normally, according to the communication node failure model after losing energy supply of the power grid node under the extreme disaster.

[0113] S45, determining the number of effective communication network nodes according to the working state of the affected communication network node .

[0114] By comprehensively considering the above factors through cascading failure simulation, the wind speed of the power grid node, the failure condition, the affected communication node and the working state are determined in sequence, and finally the number of effective communication nodes is determined, which accurately simulates the behavior of the system under the extreme disaster and improves the accuracy and practicality of the evaluation.

[0115] S46, determining the set of communication network nodes working normally according to the number of effective communication nodes.

[0116] S47, obtaining the simulation times of the cascading failure simulation.

[0117] S48, evaluating the reliability of the communication network of the power distribution system based on the simulation times, the set of communication network nodes working normally, and the importance of the communication network nodes, specifically:

[0118] ;

[0119] ;

[0120] ;

[0121] ;

[0122] In the formula, The reliability of the communication network is represented by Z, where Z represents the number of simulations and z represents the simulation number. This represents the set of communication network nodes that are functioning normally. Represents the set of nodes in a communication network. Let i represent the importance of node i, and n represent the number of nodes. This represents the degree of node i, which is all the edges connected to node i. This represents the reliability between node i and node j. This indicates an independent channel between node i and node j. Reliability, This represents the connection path between node i and node j. Indicates independent channel The reliability of each path in the process.

[0123] When assessing the reliability of a communication network, multiple factors such as node importance and the reliability of inter-node and link channels should be considered to avoid the limitations of a single indicator, comprehensively and accurately measure the reliability of the communication network, and improve the quality of the assessment.

[0124] like Figure 3 As shown, Figure 3 The power distribution system of the 10kV line was showcased. Figure 3 In China, a TTU (distribution transformer supervisory terminal unit) refers to a monitoring terminal for distribution transformers. During extreme disasters such as typhoons, there is a certain probability that power grid nodes along the affected path will be damaged and rendered ineffective. Based on the principle of cascading failure, communication network nodes, once deprived of power supply from the power grid nodes, will also have a corresponding probability of failing to operate normally. However, if the communication network node is equipped with a backup power supply and dual-mode communication capabilities—meaning it can establish a connection with a satellite via a bastion point—then the communication node can still maintain normal operation.

[0125] like Figure 4 As shown, Figure 4The communication network reliability with the number of nodes is shown, and the reliability without the configuration of the dual-mode communication and the reliability with the configuration of the dual-mode communication are given. The horizontal axis is the number of nodes (m), from 10 to 100, and the vertical axis is the reliability, ranging from 0 to 1. It can be seen that the reliability with the configuration of the dual-mode communication is basically maintained at a high level at various numbers of nodes, and the reliability without the configuration of the dual-mode communication fluctuates greatly and is low when the number of nodes is small. Overall, it is shown that the configuration of the dual-mode communication has a significant effect on maintaining a high communication network reliability, and the reliability is unstable and mostly low without the configuration of the dual-mode communication.

[0126] As shown in Figure 5 , Figure 5 The communication network reliability with the number of nodes is shown, and the reliability without the configuration of the dual-mode communication and the reliability with the configuration of the dual-mode communication are given. The horizontal axis is the number of nodes (m), from 10 to 100, and the vertical axis is the reliability, ranging from 0 to 1. It can be seen that the reliability with the configuration of the dual-mode communication is basically maintained at a high level at various numbers of nodes, and the reliability without the configuration of the dual-mode communication fluctuates greatly and is low when the number of nodes is small. Overall, it is shown that the configuration of the dual-mode communication has a significant effect on maintaining a high communication network reliability, and the reliability is unstable and mostly low without the configuration of the dual-mode communication.

[0127] The application fully considers the correlation characteristics of the power distribution system power grid and the communication network, accurately determines the failure of the power grid node and the communication node under extreme disasters, generates the probability distribution of the wind speed flowing through the power grid node under extreme disasters, and can truly simulate the wind speed condition to provide a basis for judging the power grid node failure. The cascading failure simulation is performed based on the dual-network coupling model of the power distribution system 10kV line, the power grid node failure model under extreme disasters, the communication node failure model after losing the energy supply of the power grid node under extreme disasters, and the probability distribution of the wind speed flowing through the power grid node under extreme disasters, and then the reliability of the communication network is evaluated, thereby improving the accuracy and practicality of the reliability evaluation of the communication network and accurately reflecting the disaster tolerance capability of the communication network.

[0128] Please refer to Figure 2 , embodiment two of the application is:

[0129] An evaluation system of a power distribution communication network under extreme disasters, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements each step in the evaluation method of the power distribution communication network under extreme disasters in embodiment one when executing the computer program.

[0130] In summary, the application provides an evaluation method and system for power distribution communication network under extreme disaster, by constructing a double-network coupling model of the 10kV line of the power distribution system, a power grid node failure model under extreme disaster, a communication node failure model after losing energy supply of the power grid node under extreme disaster, fully considering the correlation characteristics of the power distribution system power grid and the communication network, and accurately determining the failure conditions of the power grid nodes and the communication nodes, generating the probability distribution of the wind speed flowing through the power grid nodes under extreme disaster, which can truly simulate the wind speed conditions and provide a basis for determining the power grid node failure, based on the double-network coupling model of the 10kV line of the power distribution system, the power grid node failure model under extreme disaster, the communication node failure model after losing energy supply of the power grid node under extreme disaster, and the probability distribution of the wind speed flowing through the power grid nodes under extreme disaster, the cascading failure simulation is carried out, and then the reliability of the communication network is evaluated, which improves the accuracy and practicality of the reliability evaluation of the communication network; in addition, the wind speed of the power grid node, the failure condition, the affected communication node and the working state are determined in turn through the cascading failure simulation, and finally the number of effective communication nodes is determined, the behavior of the system under extreme disaster is accurately simulated, and the accuracy and practicality of the subsequent evaluation of the communication network are improved.

[0131] The above is only an embodiment of the application, and does not limit the patent range of the application, and any equivalent transformation or direct or indirect application in the related technical field based on the content of the specification and drawings of the application is also included in the patent protection range of the application.

Claims

1. A method for evaluating power distribution communication networks under extreme disasters, characterized in that, Including the following steps: A dual-network coupling model of the 10kV line of the distribution system is constructed based on the correlation characteristics of the power grid and communication network of the distribution system. Construct a power grid node failure model under extreme disasters, and construct a communication node failure model after the power grid node loses its energy supply under extreme disasters; Generate the probability distribution of wind speed flowing through power grid nodes under extreme disasters; Based on the dual-network coupling model of the 10kV line of the power distribution system, the failure model of the power grid node under the extreme disaster, the failure model of the communication node after losing the energy supply of the power grid node under the extreme disaster, and the probability distribution of the wind speed flowing through the power grid node under the extreme disaster, a cascade failure simulation is performed to obtain the number of effective communication nodes, and the reliability of the communication network of the power distribution system is evaluated based on the number of effective communication nodes. The construction of the dual-network coupling model for the 10kV distribution system based on the correlation characteristics of the power grid and communication network of the distribution system includes: ； ； ； ； ； ； ； ； In the formula, Represents the set of power grid nodes. Let pi represent a power grid node, and m represent the number of power grid nodes. Represents the set of nodes in a communication network. Let cj represent a node in the communication network, and n represent the number of nodes in the communication network. This represents the directed energy flow correlation matrix of the power grid. This indicates the correlation between whether grid node i fails and the energy supply of grid node j. This represents the directed information flow redundancy communication technology configuration matrix of the communication network. Indicates whether communication network node i is configured with redundant communication technology. Indicates the power grid. Indicates a communication network. This represents the connection matrix between the power grid and the communication network. G represents the dual-network coupling model of the 10kV distribution system line, indicating whether the power grid node i supplies power to the communication network node j and whether the communication network node j simultaneously monitors the relevant service status of the power grid node i. The construction of the communication node failure model after the loss of power supply from the power grid node under extreme disasters includes: ； In the formula, This indicates whether communication network node j fails after an extreme disaster occurs. Indicates whether a fault has occurred at power grid node i. This indicates whether the power grid node i, which is coupled to the communication network node j, has been damaged. This indicates whether communication network node j is equipped with a battery. This indicates whether communication network node j is configured for local communication.

2. The method for evaluating power distribution communication networks under extreme disasters according to claim 1, characterized in that, The construction of the power grid node failure model under extreme disasters includes: A power grid node failure model under extreme disasters is constructed based on the wind speeds that historical power grid nodes have passed through.

3. The method for evaluating power distribution communication networks under extreme disasters according to claim 2, characterized in that, The construction of a power grid node failure model under extreme disasters based on the historical wind speeds passing through the power grid nodes includes: ； ； In the formula, Indicates that grid node i is in The state at time t, where u represents the uniform distribution number. Indicates that grid node i is in Failure rate of the line at different wind speeds at different times. This represents the failure rate of the line under different wind speeds, v represents the real-time wind speed corresponding to the location of the extreme disaster in the distribution network, and V represents the maximum wind speed that the line is designed to withstand.

4. The method for evaluating power distribution communication networks under extreme disasters according to claim 1, characterized in that, The probability distribution of wind speed flowing through power grid nodes under extreme disasters includes: ； In the formula, Let represent the wind speed flowing through node i of the power grid, k represent the shape parameter of the Weibull distribution, and c represent the scale parameter of the Weibull distribution. Let represent the Weibull probability density function.

5. The method for evaluating a power distribution communication network under extreme disasters according to claim 1, characterized in that, The cascaded failure simulation based on the dual-network coupling model of the 10kV distribution system, the grid node failure model under extreme disasters, the communication node failure model after the loss of energy supply from the grid node under extreme disasters, and the probability distribution of wind speed flowing through the grid node under extreme disasters yields the following effective communication node numbers: The wind speed flowing through each power grid node is determined based on the probability distribution of the wind speed flowing through the power grid node under the extreme disaster. The failure status of each power grid node is determined based on the wind speed flowing through each power grid node and the power grid node failure model under extreme disasters. The affected communication network nodes are determined based on the dual-network coupling model of the 10kV line of the power distribution system and the failure status of each power grid node; The working status of the affected communication network nodes is determined based on the communication node failure model after the loss of power grid node energy supply under the extreme disaster. The number of valid communication network nodes is determined based on the working status of the affected communication network nodes.

6. The method for evaluating a power distribution communication network under extreme disasters according to claim 1, characterized in that, The method of evaluating the reliability of the communication network of the power distribution system based on the number of effective communication nodes includes: The set of normally functioning communication network nodes is determined based on the number of valid communication nodes; Obtain the number of simulations for the cascading failure simulation; The reliability of the communication network of the power distribution system is assessed based on the number of simulations, the set of normally functioning communication network nodes, and the importance of the communication network nodes.

7. The method for evaluating a power distribution communication network under extreme disasters according to claim 6, characterized in that, The assessment of the reliability of the power distribution system's communication network based on the number of simulations, the set of normally functioning communication network nodes, and the importance of the communication network nodes includes: ； ； ； ； In the formula, The reliability of the communication network is represented by Z, where Z represents the number of simulations and z represents the simulation number. This represents the set of communication network nodes that are functioning normally. Represents the set of nodes in a communication network. Let i represent the importance of node i, and n represent the number of nodes. Indicates the degree of node i. This represents the reliability between node i and node j. This indicates an independent channel between node i and node j. Reliability, This represents the connection path between node i and node j. Indicates independent channel The reliability of each path in the process.

8. An assessment system for a power distribution communication network under extreme disasters, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements each step of the evaluation method for a power distribution communication network under extreme disasters as described in any one of claims 1 to 7.

Images