Evaluation method and system of novel power distribution communication network under extreme disaster

Abstract

The invention discloses a novel power distribution communication network evaluation method and system under extreme disasters, and the method comprises the steps: constructing a dual-network coupling model of a novel power distribution system 10kV line, a power grid node failure model under the extreme disasters, and a communication node failure model after the power grid node energy supply is lost under the extreme disasters; correlation characteristics of a power distribution system power grid and a communication network are fully considered, failure conditions of power grid nodes and communication nodes are accurately judged, probability distribution of wind speed flowing through the power grid nodes under extreme disasters is generated, wind speed conditions are truly simulated, and a basis is provided for judging failure of the power grid nodes. Cascading failure simulation is carried out based on a dual-network coupling model of a novel power distribution system 10kV line, a power grid node failure model under an extreme disaster, a communication node failure model after power grid node energy supply is lost under the extreme disaster and probability distribution of power grid node flowing-through wind speed under the extreme disaster, and then the reliability of the communication network is evaluated. And the accuracy and practicability of reliability evaluation of the communication network are improved.

Description

Technical Field

[0001] The present invention relates to the field of new power distribution systems, and in particular to an evaluation method and system for a new power distribution communication network under extreme disasters. Background Art

[0002] In today's society, with the continuous development of science and technology and the growing demand for electricity, new distribution systems have gradually become an important development direction in the power field. The new distribution system has the characteristics of intelligence, efficiency, flexibility, etc., and can better meet the user's requirements for power quality and reliability. However, extreme disasters such as earthquakes, floods, hurricanes, etc. have an increasing impact on the distribution system. These extreme disasters may cause equipment damage, communication interruption, power supply interruption and other problems in the distribution system, seriously affecting the normal operation of society. Therefore, under extreme disasters, it becomes crucial to evaluate the reliability of the new distribution communication network.

[0003] Traditional distribution system communication network reliability assessment methods mainly focus on communication performance under normal operating conditions, and do not adequately consider situations under extreme disasters. In addition, with the continuous application of intelligent devices and communication technologies in new distribution systems, traditional assessment methods cannot accurately reflect the characteristics and requirements of new distribution communication networks, resulting in a decrease in the accuracy of the assessment. In order to solve these problems, it is necessary to develop a reliability assessment method for new distribution communication networks under extreme disasters. Summary of the invention

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

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

[0006] A method for evaluating a new type of power distribution communication network under extreme disasters comprises the following steps:

[0007] Based on the correlation characteristics of the power grid and communication network of the new distribution system, a dual-grid coupling model of the 10kV line of the new distribution system is constructed;

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

[0009] Generate the probability distribution of wind speed passing through power grid nodes under extreme disasters;

[0010] Based on the dual-grid coupling model of the 10kV line of the new distribution system, the grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the grid node under the extreme disaster, and the probability distribution of wind speed passing through the 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 new distribution system is evaluated based on the number of effective communication nodes.

[0011] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0012] An evaluation system for a new type of power distribution communication network under extreme disasters includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0013] Based on the correlation characteristics of the power grid and communication network of the new distribution system, a dual-grid coupling model of the 10kV line of the new distribution system is constructed;

[0014] Construct a failure model of power grid nodes under extreme disasters, and a failure model of communication nodes after losing power grid node energy supply under extreme disasters;

[0015] Generate the probability distribution of wind speed passing through power grid nodes under extreme disasters;

[0016] Based on the dual-grid coupling model of the 10kV line of the new distribution system, the grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the grid node under the extreme disaster, and the probability distribution of wind speed passing through the 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 new distribution system is evaluated based on the number of effective communication nodes.

[0017] The beneficial effects of the present invention are as follows: by constructing a dual-grid coupling model of a new distribution system 10kV line, a grid node failure model under extreme disasters, and a communication node failure model after losing grid node energy supply under extreme disasters, the correlation characteristics of the distribution system grid and the communication network are fully considered, and the failure conditions of the grid nodes and the communication nodes are accurately judged, and the probability distribution of wind speeds flowing through the grid nodes under extreme disasters is generated, which can truly simulate the wind speed conditions and provide a basis for judging grid node failures. Based on the dual-grid coupling model of the new distribution system 10kV line, the grid node failure model under extreme disasters, the communication node failure model after losing grid node energy supply under extreme disasters, and the probability distribution of wind speeds flowing through the grid nodes under extreme disasters, cascading failure simulation is performed, and then the reliability of the communication network is evaluated, thereby improving the accuracy and practicality of the communication network reliability evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A flowchart of a method for evaluating a new type of power distribution communication network under extreme disasters according to an embodiment of the present invention;

[0019] Figure 2 It is a structural schematic diagram of an evaluation system of a new type of power distribution communication network under extreme disasters according to an embodiment of the present invention;

[0020] Figure 3 It is a schematic diagram of a new power distribution system of a 10kv line in the evaluation method of a new power distribution communication network under extreme disasters in an embodiment of the present invention;

[0021] Figure 4 A schematic diagram showing how the reliability of a communication network varies with the number of nodes in a method for evaluating a new type of power distribution communication network under extreme disasters according to an embodiment of the present invention;

[0022] Figure 5 It is a schematic diagram of the variation of the reliability of the communication network with the ratio of configured dual-mode communication in the evaluation method of the new power distribution communication network under extreme disasters in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in conjunction with the implementation modes and the accompanying drawings.

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

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

[0026] Construct a failure model of power grid nodes under extreme disasters, and a failure model of communication nodes after losing power grid node energy supply under extreme disasters;

[0027] Generate the probability distribution of wind speed passing through power grid nodes under extreme disasters;

[0028] Based on the dual-grid coupling model of the 10kV line of the new distribution system, the grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the grid node under the extreme disaster, and the probability distribution of wind speed passing through the 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 new distribution system is evaluated based on the number of effective communication nodes.

[0029] From the above description, it can be seen that the beneficial effects of the present invention are: by constructing a dual-grid coupling model of a new distribution system 10kV line, a grid node failure model under extreme disasters, and a communication node failure model after losing grid node energy supply under extreme disasters, the correlation characteristics of the distribution system grid and the communication network are fully considered, and the failure conditions of the grid nodes and the communication nodes are accurately judged, and the probability distribution of wind speed flowing through the grid nodes under extreme disasters is generated, which can truly simulate the wind speed conditions and provide a basis for judging the failure of the grid nodes. Based on the dual-grid coupling model of the new distribution system 10kV line, the grid node failure model under extreme disasters, the communication node failure model after losing grid node energy supply under extreme disasters, and the probability distribution of wind speed flowing through the grid nodes under extreme disasters, cascading failure simulation is performed, and then the reliability of the communication network is evaluated, thereby improving the accuracy and practicality of the communication network reliability evaluation.

[0030] Furthermore, the dual-grid coupling model of the 10kV line of the new distribution system is constructed based on the correlation characteristics of the power grid and the communication network of the new distribution system, including:

[0031] V P = {v p1 ,v p2 ,···,v pi ,···v pm};

[0032] V C = {v c1 ,v c2 ,···,v cj ,···v cn};

[0033]

[0034] E C =[cc1 cc2…cc i …cc n ];

[0035] G P =(V P ,E P );

[0036] G C =(V C ,E C );

[0037]

[0038] G=(G C ,G P ,E PC );

[0039] Where V P represents the set of power grid nodes, v pi represents the grid node pi, m represents the number of grid nodes, V C represents the set of nodes in the communication network, v cj represents the communication network node cj, n represents the number of communication network nodes, E P Represents the directed energy flow correlation matrix of the power grid, cp i,j Indicates the relationship between the failure of grid node i and the energy supply of grid node j, E C Represents the communication network's directed information flow redundant communication technology configuration matrix, cc i Indicates whether the communication network node i is configured with redundant communication technology, G P Represents the power grid, G C represents the communication network, E PC represents the connection matrix between the power grid and the communication network, e i,j It indicates whether the grid node i supplies power to the communication network node j, and whether the communication network node j simultaneously monitors the relevant business status of the grid node i. G represents the dual-grid coupling model of the 10kV line of the new distribution system.

[0040] From the above description, it can be seen that the dual-grid coupling model of the new distribution system 10kV line comprehensively presents the system structure and operation logic by accurately describing the node set of the power grid and communication network, the energy flow and information flow association matrix and the connection matrix, so that the reliability assessment of the communication network fits the actual situation and improves practicality.

[0041] Furthermore, the construction of a power grid node failure model under extreme disasters includes:

[0042] A grid node failure model under extreme disasters is constructed based on the historical wind speeds passing through the grid nodes.

[0043] From the above description, it can be seen that constructing a grid node failure model under extreme disasters based on the historical wind speeds flowing through the grid nodes can take into account the equipment's anti-destruction capabilities at different wind speeds and ensure a more accurate reliability assessment of the subsequent communication network.

[0044] Furthermore, the construction of a grid node failure model under extreme disasters based on the wind speed flowing through the historical grid nodes includes:

[0045]

[0046]

[0047] In the formula, s i (Δt j ) represents the grid node i at Δt j The state at the moment, u represents the uniform distribution number, p fw (Δtj ) represents the grid node i at Δt j Failure rate of the line at different wind speeds at all times, p fw It 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.

[0048] From the above description, it can be seen that the power grid node failure model under extreme disasters uses piecewise function combined with Monte Carlo sampling method based on historical data, considers the influence of different wind speeds on the failure rate, accurately determines the failure of power grid nodes under extreme disasters, and improves the accuracy of communication network reliability assessment.

[0049] Furthermore, the construction of a communication node failure model after the power grid node energy supply is lost under extreme disasters includes:

[0050]

[0051] In the formula, Indicates whether the communication network node j fails after an extreme disaster occurs, V P represents the set of power grid nodes, p i Indicates whether the grid node i fails, e i,j Indicates whether the grid node i coupled with the communication network node j is damaged, ce j Indicates whether the communication network node j is equipped with a battery, cc j Indicates whether communication network node j is configured for local communication.

[0052] From the above description, it can be seen that the communication node failure model after losing the energy supply of the power grid node under extreme disasters integrates the power supply, multi-mode communication technology configuration and the relationship with the power grid node, comprehensively evaluates the anti-destruction ability of the communication node after losing the energy supply of the power grid, accurately judges the failure of the communication node, and improves the accuracy and practicality of the communication network reliability assessment.

[0053] Furthermore, the generation of the probability distribution of wind speed passing through the power grid node under extreme disasters includes:

[0054]

[0055] In the formula, v i represents the wind speed flowing through the grid node i, k represents the shape parameter of the Weibull distribution, c represents the scale parameter of the Weibull distribution, and f() represents the Weibull probability density function.

[0056] From the above description, it can be seen that the probability distribution of wind speed passing through the power grid nodes under extreme disasters is generated, which truly simulates the wind speed conditions, provides a basis for judging the failure of the power grid nodes, and ensures the accuracy of the judgment results.

[0057] Furthermore, the dual-grid coupling model based on the new distribution system 10kV line, the grid node failure model under extreme disasters, the communication node failure model after losing grid node energy supply under extreme disasters, and the probability distribution of wind speed flowing through grid nodes under extreme disasters are used to perform cascading failure simulation, and the number of effective communication nodes obtained includes:

[0058] Determine the wind speed passing through each grid node according to the probability distribution of the wind speed passing through the grid node under the extreme disaster;

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

[0060] Determine the affected communication network nodes according to the dual-grid coupling model based on the 10kV line of the novel power distribution system and the failure conditions of each grid node;

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

[0062] The number of valid communication network nodes is determined according to the working status of the affected communication network nodes.

[0063] From the above description, it can be seen that through the cascading failure simulation, the wind speed, failure status, affected communication nodes and working status of the power grid nodes are determined in turn, 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 subsequent evaluation of the communication network.

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

[0065] Determine a set of communication network nodes operating normally according to the number of valid communication nodes;

[0066] Obtaining the number of simulations of the cascading failure simulation;

[0067] The reliability of the communication network of the new power distribution system is evaluated based on the number of simulations, the set of normally functioning 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, multiple factors such as node importance, reliability between nodes and link channels are comprehensively considered to avoid the limitations of a single indicator, comprehensively and accurately measure the reliability of the communication network, and improve the evaluation quality.

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

[0070]

[0071] In the formula, R C represents the reliability of the communication network, Z represents the number of simulations, z represents the number of simulations, V CL Represents the set of nodes in the communication network that are working normally, V C Represents a collection of communication network nodes, NIM i represents the importance of node i, n represents the number of nodes, S i represents the degree of node i, NP(i,j) represents the reliability between node i and node j, and P k (i,j) represents the independent channel L between link node i and node j k The reliability of (i,j), link(i,j) represents the connection path between node i and node j, q l Indicates independent channel L k The reliability of each path in (i,j).

[0072] From the above description, it can be seen that the reliability of the communication network of the new distribution system is evaluated based on the number of simulations, the set of normally working communication network nodes and the importance of the communication network nodes. The reliability reflects the disaster recovery capability of the communication network and realizes accurate and reliable communication network evaluation.

[0073] Please refer to Figure 2 Another embodiment of the present invention provides an evaluation system for a new type of distribution communication network under extreme disasters, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above-mentioned evaluation method for a new type of distribution communication network under extreme disasters is implemented.

[0074] The above-mentioned method and system for evaluating a new type of power distribution communication network under extreme disasters of the present invention can be applied to scenarios of evaluating the reliability of a new type of power distribution communication network under extreme disasters, and the following is described through specific implementation methods:

[0075] Please refer to Figure 1 , Figures 3 to 5 , Embodiment 1 of the present invention is:

[0076] A method for evaluating a new type of power distribution communication network under extreme disasters comprises the following steps:

[0077] S1. Based on the correlation characteristics of the power grid and communication network of the new distribution system, a dual-grid coupling model of the 10kV line of the new distribution system is constructed, including:

[0078] V P = {v p1 ,v p2 ,···,v pi ,···v pm};

[0079] V C = {v c1 ,v c2 ,···,v cj ,···v cn};

[0080]

[0081] E C =[cc1 cc2…cc i …cc n ];

[0082] G P =(V P ,E P );

[0083] G C =(V C ,E C );

[0084]

[0085] G=(G C ,G P ,E PC );

[0086] Where V P represents the set of power grid nodes, v pi represents the grid node pi, m represents the number of grid nodes, V C represents the set of nodes in the communication network, v cj represents the communication network node cj, n represents the number of communication network nodes, E P Represents the directed energy flow correlation matrix of the power grid, cp i,j Indicates the relationship between the failure of grid node i and the energy supply of grid node j. When cp i,j =1, indicating that if grid node i fails, grid node j will definitely lose energy supply. i,j =0, indicating that the failure of grid node i has nothing to do with the energy supply of grid node j, E C Represents the communication network's directed information flow redundant communication technology configuration matrix, cc i Indicates whether the communication network node i is configured with redundant communication technology. i=1, indicating that the communication network node i faces the corresponding cloud master station. In addition to conventional 4G / 5G technology, it can also connect to nearby high-reliability data access points by configuring redundant local communication technology. Assuming that such high-reliability data access points are specially configured with micro-communication, structural reinforcement, backup power supply, etc., they can work normally when there is a record of the highest level of typhoon passing by. When cc i =0, indicating that the communication network node i is not configured with redundant communication technology. Considering the large impact of the typhoon disaster, it is assumed that the nearby operator base station also fails to work normally as the node attached to the device fails. P Represents the power grid, G C represents the communication network, E PC represents the connection matrix between the power grid and the communication network, e i,j Indicates whether the grid node i supplies power to the communication network node j, and whether the communication network node j monitors the relevant service status of the grid node i at the same time. i,j =1, indicating that the power grid node i supplies power to the communication network node j, and the communication network node j also monitors the relevant service status of the power grid node i. i,j =0, indicating that the grid node i does not supply power to the communication network node j, and the communication network node j does not monitor the relevant business status of the grid node i. G represents the dual-grid coupling model of the 10kV line of the new distribution system.

[0087] The dual-grid coupling model of the new distribution system 10kV line fully considers the correlation characteristics of the distribution system power grid and communication network. By accurately describing the node sets, energy flow and information flow correlation matrix and connection matrix of the power grid and communication network, it comprehensively presents the system structure and operation logic, makes the evaluation fit the actual situation, and improves the practicality of the evaluation.

[0088] S2. Construct a grid node failure model under extreme disasters, and construct a communication node failure model after losing grid node energy supply under extreme disasters.

[0089] In an optional embodiment, extreme disasters include earthquakes, floods, typhoons, etc.

[0090] Wherein, constructing a power grid node failure model under extreme disasters includes:

[0091] According to the wind speed flowing through the historical power grid nodes, a power grid node failure model under extreme disasters is constructed, and the entire evaluation process is divided into n Δt. The failure rate of the power grid nodes under each Δt is calculated one by one, and the Monte Carlo state sampling method is used to determine the final state of the power grid nodes of the distribution system of the n Δt distribution network. Specifically:

[0092]

[0093] In the formula, s i (Δt j) represents the grid node i at Δt j The state at the moment, when s i (Δt j )=1, indicating that the grid node i is in operation. i (Δt j )=0, indicating that the grid node i is in a fault outage state, u represents a uniformly distributed number, and starting from Δt1, a uniformly distributed number u~U[0,1] in the interval [0,1] is randomly generated, p fw (Δt j ) represents the grid node i at Δt j Failure rate of the line at different wind speeds at all times, p fw It 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.

[0094] When the number of failures of grid node i is greater than or equal to n / 2, it means that grid node i has a failure, s i = 0, otherwise s i =1.

[0095] The grid node failure model under extreme disasters uses piecewise functions combined with Monte Carlo sampling method based on historical data to consider the equipment's resistance to different wind speeds, accurately determine the failure of grid nodes under extreme disasters, and improve the accuracy of subsequent evaluations.

[0096] The construction of the communication node failure model after the power grid node energy supply is lost under extreme disasters includes:

[0097]

[0098] In the formula, Indicates whether the communication network node j fails after an extreme disaster occurs. If the communication network node j can still work normally, then otherwise V P represents the set of power grid nodes, p i Indicates whether the grid node i fails. If p i = 0, a fault occurs. If p i =1, no fault occurs, e i,j Indicates whether the grid node i coupled with the communication network node j is damaged. If the grid node i coupled with the communication network node j works normally, then e i,j =1, otherwise e i,j =0,ce j Indicates whether the communication network node j is equipped with a battery. If the communication network node j is equipped with a battery, then ce j =1, otherwise ce j =0,ccj Indicates whether the communication network node j is configured for local communication. If the communication network node j is configured for local communication, then cc j =1, otherwise cc j =0.

[0099] The communication node failure model after the loss of grid node energy supply under extreme disasters takes into account the power supply and multi-mode communication technology configuration, comprehensively evaluates the anti-destruction performance after the loss of grid energy supply, accurately judges the failure of communication network nodes, and improves the accuracy and practicality of the evaluation.

[0100] S3. Generate the probability distribution of wind speed passing through the grid node under extreme disasters, specifically:

[0101]

[0102] In the formula, v i represents the wind speed flowing through the grid node i, k represents the shape parameter of the Weibull distribution, c represents the scale parameter of the Weibull distribution, and f() represents the Weibull probability density function.

[0103] The probability distribution of wind speed passing through power grid nodes under extreme disasters truly simulates the wind speed conditions, providing a basis for judging power grid node failure and enhancing accuracy.

[0104] S4, based on the dual-grid coupling model of the 10kV line of the new distribution system, the grid node failure model under the extreme disaster, the communication node failure model after the grid node energy supply is lost under the extreme disaster, and the probability distribution of the wind speed flowing through the 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 new distribution system is evaluated based on the number of effective communication nodes, specifically including:

[0105] S41. Determine the wind speed passing through each grid node according to the probability distribution of the wind speed passing through the grid node under the extreme disaster.

[0106] S42. Determine the failure status of each grid node according to the wind speed passing through each grid node and the grid node failure model under the extreme disaster.

[0107] S43. Determine the affected communication network nodes according to the dual-grid coupling model based on the 10 kV line of the new power distribution system and the failure conditions of each grid node.

[0108] S44. Determine the working status of the affected communication network node according to the communication node failure model after the power grid node loses energy supply under the extreme disaster, that is, whether the affected communication network node can continue to work normally.

[0109] S45. Determine the number n of valid communication network nodes according to the working status of the affected communication network nodes. a,z .

[0110] Through cascading failure simulation, the previous factors are comprehensively considered, and the wind speed, failure conditions, affected communication nodes and working status of the power grid nodes are determined in turn. Finally, the number of effective communication nodes is determined, and the behavior of the system under extreme disasters is accurately simulated to improve the accuracy and practicality of the evaluation.

[0111] S46. Determine a set of communication network nodes that operate normally according to the number of valid communication nodes.

[0112] S47: Obtain the number of simulations of the cascading failure simulation.

[0113] S48, evaluating the reliability of the communication network of the novel power distribution system based on the number of simulations, the set of normally working communication network nodes, and the importance of the communication network nodes, specifically:

[0114]

[0115]

[0116] In the formula, R C represents the reliability of the communication network, Z represents the number of simulations, z represents the number of simulations, V CL Represents the set of nodes in the communication network that are working normally, V C Represents a collection of communication network nodes, NIM i represents the importance of node i, n represents the number of nodes, S i represents the degree of node i, that is, all edges connected to node i, NP(i,j) represents the reliability between node i and node j, P k (i,j) represents the independent channel L between link node i and node j k The reliability of (i,j), link(i,j) represents the connection path between node i and node j, q l Indicates independent channel L k The reliability of each path in (i,j).

[0117] When evaluating the reliability of a communication network, multiple factors such as node importance, reliability between nodes and link channels should be considered comprehensively to avoid the limitations of a single indicator, comprehensively and accurately measure the reliability of the communication network and improve the quality of evaluation.

[0118] like Figure 3 As shown, Figure 3 Demonstrated a new power distribution system for 10kv lines, Figure 3TTU (distribution Transformer supervisory Terminal Unit) stands for distribution transformer supervisory terminal. When extreme disasters such as typhoons strike, there is a certain probability that the power grid nodes along the way will be damaged and lose their effectiveness. According to the principle of cascading failure, once the communication network node loses the energy supply provided by the power grid node, there is also a corresponding probability that it will not be able to work normally. However, if the communication network node is equipped with a backup power supply and is also equipped with a dual-mode communication function, that is, it can establish a connection with a satellite through a fortress point to carry out work, then the communication node can still maintain normal working condition.

[0119] like Figure 4 As shown, Figure 4 The reliability of the communication network changes with the number of nodes, and the reliability without dual-mode communication and with dual-mode communication are given. The horizontal axis is the number of nodes (m), ranging from 10 to 100, and the vertical axis is the reliability, ranging from 0 to 1. It can be seen that the reliability of dual-mode communication is basically maintained at a high level under various node numbers, and the reliability without dual-mode communication fluctuates greatly and is lower when the number of nodes is small. Overall, it shows that the configuration of dual-mode communication has a significant effect on maintaining a higher reliability of the communication network, while the reliability is unstable and mostly low when dual-mode communication is not configured.

[0120] like Figure 5 As shown, Figure 5 The figure shows how the reliability of the communication network changes with the proportion of dual-mode communication configuration. The horizontal axis represents the proportion of dual-mode communication configuration (%), ranging from 10% to 100%, and the vertical axis represents the reliability of the communication network with dual-mode communication configuration, ranging from 0 to 1. It can be seen that as the proportion of dual-mode communication configuration increases, the reliability of the communication network gradually improves. In general, this figure shows that the higher the proportion of dual-mode communication configuration, the higher the reliability of the communication network, and the reliability improvement is more obvious at a low proportion, and the improvement speed slows down at a high proportion.

[0121] The present invention fully considers the correlation characteristics of the power grid and the communication network of the distribution system by constructing a dual-grid coupling model of a new distribution system 10kV line, a power grid node failure model under extreme disasters, and a communication node failure model after losing the energy supply of the power grid node under extreme disasters, and accurately judges the failure conditions of the power grid nodes and the communication nodes under extreme disasters, generates the probability distribution of the wind speed flowing through the power grid nodes under extreme disasters, can truly simulate the wind speed conditions, and provide a basis for judging the failure of the power grid nodes. Based on the dual-grid coupling model of the new 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 nodes under extreme disasters, cascade 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, and accurately reflecting the disaster tolerance capability of the communication network.

[0122] Please refer to Figure 2 , Embodiment 2 of the present invention is:

[0123] A system for evaluating a new type of power distribution communication network under extreme disasters includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the method for evaluating a new type of power distribution communication network under extreme disasters in Example 1 is implemented.

[0124] In summary, the present invention provides an evaluation method and system for a new distribution communication network under extreme disasters. By constructing a dual-network coupling model of a new distribution system 10kV line, a power grid node failure model under extreme disasters, and a communication node failure model after losing the energy supply of the power grid node under extreme disasters, the correlation characteristics of the 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 judged. The probability distribution of the wind speed flowing through the power grid node under extreme disasters is generated, and the wind speed condition can be truly simulated to provide a basis for judging the failure of the power grid node. Based on the dual-network coupling model of the new 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, 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; in addition, the wind speed, failure condition, affected communication node and working state of the power grid node 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 disasters is accurately simulated, and the accuracy and practicality of the subsequent evaluation of the communication network are improved.

[0125] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for evaluating a new type of power distribution communication network under extreme disasters, characterized in that: Includes steps: Based on the correlation characteristics of the power grid and communication network of the new distribution system, a dual-grid coupling model of the 10kV line of the new distribution system is constructed; Construct a failure model of power grid nodes under extreme disasters, and a failure model of communication nodes after losing power grid node energy supply under extreme disasters; Generate the probability distribution of wind speed passing through power grid nodes under extreme disasters; Based on the dual-grid coupling model of the 10kV line of the new distribution system, the grid node failure model under the extreme disaster, the communication node failure model after losing the energy supply of the grid node under the extreme disaster, and the probability distribution of wind speed passing through the 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 new distribution system is evaluated based on the number of effective communication nodes.

2. The evaluation method of a new type of power distribution communication network under extreme disasters according to claim 1 is characterized in that: The dual-grid coupling model of the 10kV line of the new distribution system based on the correlation characteristics of the power grid and the communication network of the new distribution system includes: V P ={v p1 ,v p2 ,···,v pi ,···v pm }; V C ={v c1 ,v c2 ,···,v cj ,···v cn }; E C =[cc1 cc2…cc i …cc n ]; G P =(V P ,E P ); G C =(V C ,E C ); G=(G C ,G P ,E PC ); Where V P represents the set of power grid nodes, v pi represents the grid node pi, m represents the number of grid nodes, V C represents the set of nodes in the communication network, v cj represents the communication network node cj, n represents the number of communication network nodes, E P Represents the directed energy flow correlation matrix of the power grid, cp i,j Indicates the relationship between the failure of grid node i and the energy supply of grid node j, E C Represents the communication network's directed information flow redundant communication technology configuration matrix, cc i Indicates whether the communication network node i is configured with redundant communication technology, G P Represents the power grid, G C represents the communication network, E PC represents the connection matrix between the power grid and the communication network, e i,j It indicates whether the grid node i supplies power to the communication network node j, and whether the communication network node j simultaneously monitors the relevant business status of the grid node i. G represents the dual-grid coupling model of the 10kV line of the new distribution system.

3. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 1 is characterized in that: The construction of the power grid node failure model under extreme disasters includes: A grid node failure model under extreme disasters is constructed based on the historical wind speeds passing through the grid nodes.

4. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 3 is characterized in that: The construction of a grid node failure model under extreme disasters based on the wind speed flowing through the historical grid node includes: In the formula, s i (Δt j ) represents the grid node i at Δt j The state at the moment, u represents the uniform distribution number, p fw (Δt j ) represents the grid node i at Δt j Failure rate of the line at different wind speeds at all times, p fw It 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.

5. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 1 is characterized in that: The construction of the communication node failure model after the power grid node energy supply is lost under extreme disasters includes: In the formula, θ j Indicates whether the communication network node j fails after an extreme disaster occurs, V P represents the set of power grid nodes, p i Indicates whether the grid node i fails, e i,j Indicates whether the grid node i coupled with the communication network node j is damaged, ce j Indicates whether the communication network node j is equipped with a battery, cc j Indicates whether communication network node j is configured for local communication.

6. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 1 is characterized in that: The probability distribution of wind speed passing through the grid node under extreme disasters is generated as follows: In the formula, v i represents the wind speed flowing through the grid node i, k represents the shape parameter of the Weibull distribution, c represents the scale parameter of the Weibull distribution, and f() represents the Weibull probability density function.

7. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 1 is characterized in that: The dual-grid coupling model based on the new distribution system 10kV line, the grid node failure model under extreme disasters, the communication node failure model after losing grid node energy supply under extreme disasters, and the probability distribution of wind speed flowing through grid nodes under extreme disasters are used to perform cascading failure simulation, and the number of effective communication nodes obtained includes: Determine the wind speed passing through each grid node according to the probability distribution of the wind speed passing through the grid node under the extreme disaster; Determine the failure status of each grid node according to the wind speed flowing through each grid node and the grid node failure model under the extreme disaster; Determining the affected communication network nodes according to the dual-grid coupling model based on the 10kV line of the novel power distribution system and the failure conditions of each grid node; Determine the working state of the affected communication network node according to the communication node failure model after the power grid node loses energy supply under the extreme disaster; The number of valid communication network nodes is determined according to the working status of the affected communication network nodes.

8. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 1 is characterized in that: The evaluating the reliability of the communication network of the novel power distribution system based on the number of effective communication nodes includes: Determine a set of communication network nodes operating normally according to the number of valid communication nodes; Obtaining the number of simulations of the cascading failure simulation; The reliability of the communication network of the new power distribution system is evaluated based on the number of simulations, the set of normally functioning communication network nodes, and the importance of the communication network nodes.

9. The method for evaluating a new type of power distribution communication network under extreme disasters according to claim 8, characterized in that: The evaluating the reliability of the communication network of the novel power distribution system based on the number of simulations, the set of normally working communication network nodes, and the importance of the communication network nodes includes: In the formula, R C represents the reliability of the communication network, Z represents the number of simulations, z represents the number of simulations, V CL Represents the set of nodes in the communication network that are working normally, V C Represents a collection of communication network nodes, NIM i represents the importance of node i, n represents the number of nodes, S i represents the degree of node i, NP(i,j) represents the reliability between node i and node j, and P k (i,j) represents the independent channel L between link node i and node j k The reliability of (i,j), link(i,j) represents the connection path between node i and node j, q l Indicates independent channel L k The reliability of each path in (i,j).

10. An evaluation system for a new type of 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, each step of the method for evaluating a new type of power distribution communication network under extreme disasters according to any one of claims 1 to 9 is implemented.

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