A power grid DICP system reliability evaluation method and device

Abstract

The application discloses a power grid DICP system reliability evaluation method and device, the application combines the power grid DICP system reliability with the power data transmission model, analyzes the influence of channel interference items and losses on the power grid DICP system reliability under Monte Carlo simulation, calculates the link packet loss rate of power data between two transmission nodes, establishes a power grid DICP system channel model, uses the power grid DICP system channel model, combines the power grid flow distribution principle, calculates the reliability evaluation index of the power grid DICP system, evaluates the reliability of the power grid DICP system from the perspective of power grid flow balance, and improves the reliability evaluation accuracy of the power grid DICP system.

Description

Technical Field

[0001] This application relates to the field of power grid system management technology, and in particular to a method and apparatus for reliability assessment of a power grid DICP system. Background Technology

[0002] The primary objective of a power system during operation is to reliably distribute electricity to users at all levels through a Intelligent Dispatch and Control System (DICP system). Its fundamental requirements are reliability, economy, and security. However, in practical applications, due to the relatively complex structure of urban power grids, many factors influence the reliability of the DICP system. It is difficult to analyze the reliability changes of the DICP system using mathematical models, further increasing the difficulty of reliability assessment and resulting in low accuracy in reliability evaluation. Summary of the Invention

[0003] This application provides a method and apparatus for reliability assessment of a power grid DICP system, which addresses the technical problem of low accuracy in reliability assessment of existing power grid DICP systems.

[0004] To address the aforementioned technical problems, the first aspect of this application provides a method for reliability assessment of a power grid DICP system, comprising:

[0005] Based on the topology of the power grid DICP system to be evaluated, and combined with the power data transmission data of the power grid DICP system, a loss model of the power grid DICP system channel is constructed.

[0006] Based on the loss model of the power grid DICP system channel, combined with the time characteristics and Rice distribution law of the power grid DICP system channel, the cumulative distribution function of the power grid DICP system channel is obtained, and based on the cumulative distribution function, the loss calculation equation of the power grid DICP system channel is constructed.

[0007] Based on the loss calculation equation, the link packet loss rate calculation formula is obtained. Then, using the link packet loss rate calculation formula, the link packet loss rate of power data between any two transmission nodes is calculated. Based on all the link packet loss rates and combined with the power grid DICP system topology, a system channel model of the power grid DICP system is constructed.

[0008] Based on the system channel model and combined with the power grid flow allocation principle, the reliability evaluation index of the power grid DICP system is calculated using the power grid DICP system reliability evaluation index calculation formula.

[0009] Based on the reliability assessment indicators, the reliability assessment results of the power grid DICP system are obtained.

[0010] Preferably, obtaining the reliability assessment result of the power grid DICP system based on the reliability assessment index specifically includes:

[0011] Based on the aforementioned reliability assessment indicators, and combining the normal distribution method and the Monte Carlo simulation method, the distribution state equation between the remaining lifetime and transmission time of power data in the power grid DICP system is simulated.

[0012] Based on the aforementioned distribution state equation and combined with the power data transmission success rate calculation formula, the success probability of power data transmission in the power grid DICP system is calculated.

[0013] A reliability assessment model for the power grid DICP system is constructed based on the success probability of the power data transmission. The reliability assessment model is then used to solve the problem and obtain the reliability assessment result of the power grid DICP system.

[0014] Preferably, the calculation formula for the reliability assessment index of the power grid DICP system is as follows:

[0015]

[0016] In the formula, f is the reliability evaluation index of the power grid DICP system, and s i Let i represent the grid node in the DICP system, s represent the number of operating nodes in the DICP system, and d represent the number of operating nodes in the DICP system. i Let represent the reliability of grid node i, D represent the total number of grid nodes, and N represent the number of DICP system sites in the grid.

[0017] Preferably, the reliability assessment model is as follows:

[0018]

[0019] In the formula, argmax P∈G A(P) represents the maximum reliability of each link in the power grid DICP system. i,j ) represents the link reliability from node i to node j in the power grid DICP system, a l The probability of successful transmission of power data in the power grid DICP system. The remaining lifetime distribution in the DICP system links of the power grid is shown in μ. T For power data transmission nodes in the power grid DICP system, t R Let σ represent the probability of a busy channel in the power grid DICP system, and let σ represent the compensation term for the evaluation error. This indicates the single transmission delay of power data in the DICP system link of the power grid.

[0020] Preferably, the formula for calculating the link packet loss rate is as follows:

[0021]

[0022] In the formula, The link packet loss rate, The uplink loss rate of the DICP channel in the power grid system. This represents the downlink loss rate of the DICP system channel in the power grid.

[0023] A second aspect of this application provides a power grid DICP system reliability assessment device, comprising:

[0024] The system signal loss model construction unit is used to construct a loss model of the power grid DICP system channel based on the topology of the power grid DICP system to be evaluated and in combination with the power data transmission data of the power grid DICP system.

[0025] The channel loss equation construction unit is used to obtain the cumulative distribution function of the power grid DICP system channel based on the loss model of the power grid DICP system channel, combined with the time characteristics and Rice distribution law of the power grid DICP system channel, and to construct the loss calculation equation of the power grid DICP system channel based on the cumulative distribution function.

[0026] The system channel model construction unit is used to obtain the link packet loss rate calculation formula according to the loss calculation equation, and then calculate the link packet loss rate of power data between any two transmission nodes through the link packet loss rate calculation formula, so as to construct the system channel model of the power grid DICP system based on all the link packet loss rates and the topology of the power grid DICP system.

[0027] The reliability index calculation unit is used to calculate the reliability evaluation index of the power grid DICP system based on the system channel model and the power grid flow allocation principle, using the power grid DICP system reliability evaluation index calculation formula.

[0028] The reliability assessment unit is used to obtain the reliability assessment results of the power grid DICP system based on the reliability assessment indicators.

[0029] Preferably, the reliability assessment unit specifically includes:

[0030] The power data time distribution determination subunit is used to simulate the distribution state equation between the remaining lifetime and transmission time of power data in the power grid DICP system, based on the reliability assessment index and in combination with the normal distribution method and the Monte Carlo simulation method.

[0031] The transmission success rate calculation subunit is used to calculate the transmission success probability of power data in the power grid DICP system based on the distribution state equation and the power data transmission success rate calculation formula.

[0032] The reliability assessment subunit is used to construct a reliability assessment model for the power grid DICP system based on the success probability of the power data transmission, and to perform calculations based on the reliability assessment model to obtain the reliability assessment result of the power grid DICP system.

[0033] Preferably, the formula for calculating the reliability assessment index of the power grid DICP system is as follows:

[0034]

[0035] In the formula, f is the reliability evaluation index of the power grid DICP system, and s i Let i represent the grid node in the DICP system, s represent the number of operating nodes in the DICP system, and d represent the number of operating nodes in the DICP system. i Let represent the reliability of grid node i, D represent the total number of grid nodes, and N represent the number of DICP system sites in the grid.

[0036] Preferably, the reliability assessment model is as follows:

[0037]

[0038] In the formula, argmax P∈G A(P) represents the maximum reliability of each link in the power grid DICP system. i,j (l) represents the link reliability from node i to node j in the power grid DICP system, and (l) represents the success probability of power data transmission in the power grid DICP system. The remaining lifetime distribution in the DICP system links of the power grid is shown in μ. T For power data transmission nodes in the power grid DICP system, t R Let σ represent the probability of a busy channel in the power grid DICP system, and let σ represent the compensation term for the evaluation error. This indicates the single transmission delay of power data in the DICP system link of the power grid.

[0039] Preferably, the formula for calculating the link packet loss rate is as follows:

[0040]

[0041] In the formula, The link packet loss rate, The uplink loss rate of the DICP system channel in the power grid. This represents the downlink loss rate of the DICP system channel in the power grid.

[0042] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:

[0043] This application combines the reliability of the power grid DICP system with the power data transmission model, analyzes the impact of channel interference and loss on the reliability of the power grid DICP system under Monte Carlo simulation, establishes a channel model of the power grid DICP system by calculating the link packet loss rate of power data between two transmission nodes, and calculates the reliability evaluation index of the power grid DICP system using the channel model and the principle of power grid flow distribution. The reliability of the power grid DICP system is evaluated from the perspective of power grid flow balance, thus improving the accuracy of the reliability evaluation of the power grid DICP system. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a flowchart illustrating an embodiment of a power grid DICP system reliability assessment method provided in this application.

[0046] Figure 2 This is a schematic diagram of the network model of the power grid DICP system.

[0047] Figure 3 This is a flowchart illustrating another embodiment of the power grid DICP system reliability assessment method provided in this application.

[0048] Figure 4 This is a schematic diagram of one embodiment of a power grid DICP system reliability assessment device provided in this application. Detailed Implementation

[0049] This application provides a method and apparatus for reliability assessment of a power grid DICP system, which addresses the technical problem of low accuracy in reliability assessment of existing power grid DICP systems.

[0050] To make the inventive objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0051] Please see Figure 1 The first embodiment of this application provides a method for reliability assessment of a power grid DICP system, comprising:

[0052] Step 101: Based on the topology of the power grid DICP system to be evaluated, and combined with the power data transmission data of the power grid DICP system, construct a loss model for the power grid DICP system channel.

[0053] Step 102: Based on the loss model of the power grid DICP system channel, and combined with the time characteristics and Rice distribution law of the power grid DICP system channel, obtain the cumulative distribution function of the power grid DICP system channel, and construct the loss calculation equation of the power grid DICP system channel based on the cumulative distribution function.

[0054] It should be noted that, in order to evaluate the reliability of the power grid DICP system, a DICP system channel model needs to be established. First, the loss model of the power grid DICP system channel is formulated, expressed as follows:

[0055]

[0056] In the above formula, γ represents the loss factor of the power grid DICP system channel, d represents the average distance between the power grid DICP system and the user, d0 represents the initial distance between the power grid DICP system and the user, S represents the attenuation factor, A represents the channel loss of the power grid DICP system, and X... f Represents the frequency correction factor, where γ, A, and X f The calculation formula is:

[0057]

[0058] Among them, a, b, h b c represents a constant, λ is the signal loss coefficient, and f d This refers to the power grid frequency.

[0059] Typically, the changes in the DICP system channel of the power grid are closely related to the user's movement speed, and the time characteristics of the DICP system channel need to conform to the Rice distribution. The probability density function of the DICP system channel can be calculated using formula (3), which is expressed as:

[0060]

[0061] Where, r d Let τ represent the amplitude of the DICP system channel in the power grid, I0 represent the multipath amplitude, r represent the effective component of the power data, and K represent the Rice factor. The cumulative distribution function of the DICP system channel in the power grid can be expressed using formula (4), namely:

[0062]

[0063] In the above formula, Q represents the Monte Carlo simulation function.

[0064] Assume the instantaneous power of the data received by the DICP system channel is P0, and the instantaneous power corresponding to the interference χ is P. χ The channel loss rate caused by the attenuation of the DICP system channel in the power grid is The loss rate caused by Rice distribution interference is The formula for calculating the loss rate of the power grid DICP system channel is as follows:

[0065]

[0066] Step 103: Based on the loss calculation equation, obtain the link packet loss rate calculation formula. Then, using the link packet loss rate calculation formula, calculate the link packet loss rate of power data between any two transmission nodes. Based on the total link packet loss rate and combined with the power grid DICP system topology, construct the system channel model of the power grid DICP system.

[0067] It should be noted that, assuming the uplink and downlink of the power grid DICP system channel are independent of each other, the packet loss rate of power data between two transmission nodes can be calculated by the following formula:

[0068]

[0069] In the above formula, This represents the uplink loss rate of the DICP channel in the power grid system. This represents the downlink loss rate of the DICP system channel in the power grid.

[0070] By combining the reliability of the power grid DICP system with the power data transmission model, the impact of channel interference and loss under Monte Carlo simulation on the reliability of the power grid DICP system is analyzed. By calculating the link packet loss rate of power data between two transmission nodes, a system channel model of the DICP system is established.

[0071] Step 104: Based on the system channel model and combined with the power grid flow distribution principle, calculate the reliability evaluation index of the power grid DICP system using the power grid DICP system reliability evaluation index calculation formula.

[0072] It should be noted that after obtaining the system channel model of the power grid DICP system through the aforementioned steps, the weights of the nodes in the power grid DICP system were analyzed using the power grid DICP system as a carrier, thus shaping a weighted power grid DICP system.

[0073] like Figure 2 As shown, network stations represent stations within the power grid DICP system, and edge lines represent power transmission routes. Figure 2 The system comprises 11 sites, and the stability of the power grid DICP system ensures the normal operation of the power grid. To maintain the stability of the power grid DICP system, the weights of each node and its connections are rationally planned to form a new network node operation system. This ensures that the number of operating nodes in the power grid DICP system is minimized, thereby enhancing the reliability of the power grid DICP system.

[0074] Since traditional reliability assessment indicators are no longer applicable in the reliability evaluation of power grid DICP systems, this application proposes a new reliability assessment indicator. Furthermore, based on the principle of power grid flow allocation, this embodiment treats the node operation quantity planning process in the power grid DICP system as a power grid flow planning process.

[0075] A comprehensive analysis of grid flow and DICP system reliability was conducted, and evaluation indicators of grid DICP system reliability were calculated. Generally speaking, the larger the evaluation indicator value, the better the grid flow balance, the better the grid failure or collapse caused by the failure of a single grid DICP system node, and the better the grid DICP system reliability.

[0076] Step 105: Obtain the reliability assessment results of the power grid DICP system based on the reliability assessment indicators.

[0077] Finally, based on the aforementioned reliability assessment indicators, the reliability of the power grid DICP system is determined.

[0078] This embodiment combines the reliability of the power grid DICP system with the power data transmission model, analyzing the impact of channel interference and loss on the reliability of the power grid DICP system under Monte Carlo simulation. A DICP system channel model is established by calculating the link packet loss rate of power data between two transmission nodes. Using the network model diagram of the power grid DICP system, the edge weights of the power grid are rationally planned to form a new network node operation system. The planning of the number of nodes in the power grid DICP system is treated as power grid flow planning, and the reliability evaluation index of the power grid DICP system is calculated. Experimental results show that the proposed method has shorter processing time, higher accuracy, and better evaluation performance.

[0079] The above content is a detailed description of one embodiment of the power grid DICP system reliability assessment method provided in this application. The following is a detailed description of another embodiment of the power grid DICP system reliability assessment method provided in this application.

[0080] Please see Figure 3 The second embodiment of this application, based on the content provided in the previous embodiment, provides a method for reliability assessment of a power grid DICP system, including:

[0081] Furthermore, the specific formula for calculating the reliability assessment index of the power grid DICP system is as follows:

[0082]

[0083] In the formula, f is the reliability evaluation index of the power grid DICP system, and s i Let i represent the grid node in the DICP system, s represent the number of operating nodes in the DICP system, and d represent the number of operating nodes in the DICP system. i Let represent the reliability of grid node i, D represent the total number of grid nodes, and N represent the number of DICP system sites in the grid.

[0084] It should be noted that, based on the principle of power grid flow distribution, this embodiment treats the node operation quantity planning process in the power grid DICP system as a power grid flow planning process. The reliability indicators of the power grid DICP system can analyze the flow and node degree of the system. Higher degree and larger power grid flow indicate higher node value, truly reflecting the actual value of the nodes. A larger evaluation index f indicates better power grid flow balance, better preventing power grid failure or collapse caused by the failure of a single DICP node, and thus better overall system reliability.

[0085] Furthermore, step 104 above specifically includes the following steps:

[0086] Step 1041: Based on the reliability assessment index, and combining the normal distribution method and the Monte Carlo simulation method, simulate the distribution state equation between the remaining lifetime and transmission time of power data in the power grid DICP system.

[0087] Step 1042: Based on the distributed state equation and the power data transmission success rate calculation formula, calculate the success probability of power data transmission in the power grid DICP system.

[0088] Step 1043: Construct a reliability assessment model for the power grid DICP system based on the success probability of power data transmission, and perform calculations based on the reliability assessment model to obtain the reliability assessment results of the power grid DICP system.

[0089] Furthermore, the reliability assessment model is as follows:

[0090]

[0091] In the formula, argmax P∈G A(P) represents the maximum reliability of each link in the power grid DICP system. i,j Let L represent the link reliability from node i to node j in the power grid DICP system, where L = {l1, ..., l2}. n} represents the path P between node i and node j in the power grid DICP system. i,j The link combination, χ(l) is the success probability of power data transmission through link l in the power grid DICP system. The remaining lifetime distribution in the DICP system links of the power grid is shown in μ. T For power data transmission nodes in the power grid DICP system, t R Let σ represent the probability of a busy channel in the power grid DICP system, and let σ represent the compensation term for the evaluation error. This indicates the single transmission delay of power data in the DICP system link of the power grid.

[0092] It should be noted that, based on the calculation results of the reliability evaluation index of the power grid DICP system, a normal distribution is used to describe the distribution of power data transmission time in the power grid DICP system. The transmitted power data should follow N(μ,σ) 2 ) distribution, a link This represents the transmission rate of power data within the power grid DICP system, used to measure the transmission capacity of the power grid DICP system link, and is expressed as:

[0093] a link =P(t, t) d (8)

[0094] Where P is the power loss function of power data transmission in the DICP system link of the power grid, and t is the total duration of power data transmission. d Assuming the interval for power data transmission This indicates the distribution of remaining lifetime in the DICP system links of the power grid, f T (t) represents the time distribution of a single transmission of power data in the DICP system link of the power grid. Under the Monte Carlo simulation, since the remaining lifetime and transmission time of power data in the DICP system are independent of each other, the joint distribution of the remaining lifetime and transmission time of power data in the DICP system can be described by formula (9), that is:

[0095]

[0096] Formula (10) can be used to reflect the success probability of power data transmission in the DICP system of the power grid, that is:

[0097]

[0098] In the above formula, t R This represents the probability of a busy channel in the power grid DICP system. When assessing the reliability of the power grid DICP system, the estimated remaining lifetime of the power grid DICP system links is used to describe the exponential distribution, f. T (t) should follow Based on the normal distribution and considering the lifetime and temporal distribution of the power grid DICP system links, the success probability of power data transmission in the power grid DICP system is calculated using the following formula:

[0099]

[0100] Based on the calculation results of formula (11), the reliability assessment model of the power grid DICP system can be obtained, which is expressed as:

[0101]

[0102] In the above formula, μ T This indicates the transmission node for power data in the power grid DICP system.

[0103] Suppose L = {l1, ..., l n} represents the path P between node i and node j in the power grid DICP system. i,j The reliability performance assessment of the power grid DICP system is as follows:

[0104]

[0105] The magnitude of χ(l) can be calculated using formula (13), but the reliability of power data transmission in the power grid DICP system is related to the link sequence. Assume the transmission time of power data in the power grid DICP system is T. l Therefore, it can be assumed that power data can be transmitted through the DICP system link in the power grid. i Successful transmission is possible on link l i It can maintain a reliable time for iT l where (i-1)T l This can describe the waiting time for power data to be transmitted in the first i-1 power grid DICP system links, assuming that the power data is transmitted in link l i The time for a single transmission follows f T (t) Normal distribution, the reliability of the power grid DICP system can be obtained using the above method.

[0106] When there are i' to j' transmission paths for power data in a power grid DICP system, the reliability of the power grid DICP system can be evaluated using a power data transmission performance model, based on the following criteria:

[0107] arg max P∈G A(P) (14)

[0108] Where, P∈G={P1,…,P n} represents the set from i' to j'. The criterion of formula (14) is to select the largest value among the reliability assessment values ​​of the power grid DICP system as the standard, and to evaluate the reliability of the power grid DICP system based on the setting of the reliability performance of the power grid DICP system.

[0109] Based on the above process, the reliability assessment of the power grid DICP system was achieved.

[0110] The above content is a detailed description of another embodiment of a power grid DICP system reliability assessment method. The following is a detailed description of an embodiment of a power grid DICP system reliability assessment device provided in this application.

[0111] Please see Figure 4 The third embodiment of this application provides a power grid DICP system reliability assessment device, comprising:

[0112] The system signal loss model construction unit 201 is used to construct a loss model of the power grid DICP system channel based on the topology of the power grid DICP system to be evaluated and combined with the power data transmission data of the power grid DICP system.

[0113] The channel loss equation construction unit 202 is used to obtain the cumulative distribution function of the power grid DICP system channel based on the loss model of the power grid DICP system channel, combined with the time characteristics and Rice distribution law of the power grid DICP system channel, and to construct the loss calculation equation of the power grid DICP system channel based on the cumulative distribution function.

[0114] The system channel model construction unit 203 is used to obtain the link packet loss rate calculation formula according to the loss calculation equation, and then calculate the link packet loss rate of power data between any two transmission nodes through the link packet loss rate calculation formula, so as to construct the system channel model of the power grid DICP system based on the total link packet loss rate and the topology of the power grid DICP system.

[0115] The reliability index calculation unit 204 is used to calculate the reliability evaluation index of the power grid DICP system based on the system channel model and the power grid flow distribution principle, and through the power grid DICP system reliability evaluation index calculation formula.

[0116] The reliability assessment unit 205 is used to obtain the reliability assessment results of the power grid DICP system based on the reliability assessment indicators.

[0117] Furthermore, the reliability assessment unit 205 specifically includes:

[0118] The power data time distribution determination subunit 2051 is used to simulate the distribution state equation between the remaining lifetime and transmission time of power data in the power grid DICP system based on reliability assessment indicators, combined with normal distribution and Monte Carlo simulation methods.

[0119] The transmission success rate calculation subunit 2052 is used to calculate the transmission success probability of power data in the power grid DICP system based on the distributed state equation and the power data transmission success rate calculation formula.

[0120] The reliability assessment subunit 2053 is used to construct a reliability assessment model for the power grid DICP system based on the success probability of power data transmission, and to perform calculations based on the reliability assessment model to obtain the reliability assessment results of the power grid DICP system.

[0121] Furthermore, the specific formula for calculating the reliability assessment index of the power grid DICP system is as follows:

[0122]

[0123] In the formula, f is the reliability evaluation index of the power grid DICP system, and s i Let i represent the grid node in the DICP system, s represent the number of operating nodes in the DICP system, and d represent the number of operating nodes in the DICP system. iLet represent the reliability of grid node i, D represent the total number of grid nodes, and N represent the number of DICP system sites in the grid.

[0124] Furthermore, the reliability assessment model is as follows:

[0125]

[0126] In the formula, argmax P∈G A(P) represents the maximum reliability of each link in the power grid DICP system. i,j ) represents the link reliability from node i to node j in the power grid DICP system, and χ(l) represents the success probability of power data transmission in the power grid DICP system. The remaining lifetime distribution in the DICP system links of the power grid is shown in μ. T For power data transmission nodes in the power grid DICP system, t R Let σ represent the probability of a busy channel in the power grid DICP system, and let σ represent the compensation term for the evaluation error. This indicates the single transmission delay of power data in the DICP system link of the power grid.

[0127] Furthermore, the specific formula for calculating the link packet loss rate is as follows:

[0128]

[0129] In the formula, For link packet loss rate, The uplink loss rate of the DICP system channel in the power grid. This represents the downlink loss rate of the DICP system channel in the power grid.

[0130] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the terminals, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0131] In the several embodiments provided in this application, it should be understood that the disclosed terminals, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units through some interfaces, and may be electrical, mechanical, or other forms.

[0132] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0133] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0134] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0135] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0136] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A reliability assessment method for a power grid DICP system, characterized in that, include: Based on the topology of the power grid DICP system to be evaluated, and combined with the power data transmission data of the power grid DICP system, a loss model of the power grid DICP system channel is constructed. Based on the loss model of the power grid DICP system channel, combined with the time characteristics and Rice distribution law of the power grid DICP system channel, the cumulative distribution function of the power grid DICP system channel is obtained, and based on the cumulative distribution function, the loss calculation equation of the power grid DICP system channel is constructed. Based on the loss calculation equation, the link packet loss rate calculation formula is obtained. Then, using the link packet loss rate calculation formula, the link packet loss rate of power data between any two transmission nodes is calculated. Based on all the link packet loss rates and combined with the power grid DICP system topology, a system channel model of the power grid DICP system is constructed. Based on the aforementioned system channel model and the power grid flow allocation principle, the reliability assessment index of the power grid DICP system is calculated using the power grid DICP system reliability assessment index calculation formula. The specific calculation formula for the power grid DICP system reliability assessment index is as follows: In the formula, The reliability evaluation index of the power grid DICP system is as follows. This indicates the number of nodes operating in the power grid DICP system. Indicates the reliability of power grid node i. Represents the total degree of a power grid node. Indicates the number of sites in the power grid DICP system; Based on the reliability assessment indicators, the reliability assessment results of the power grid DICP system are obtained.

2. The reliability assessment method for a power grid DICP system according to claim 1, characterized in that, The specific steps of obtaining the reliability assessment result of the power grid DICP system based on the reliability assessment index include: Based on the aforementioned reliability assessment indicators, and combining the normal distribution method and the Monte Carlo simulation method, the distribution state equation between the remaining lifetime and transmission time of power data in the power grid DICP system is simulated. Based on the aforementioned distribution state equation and combined with the power data transmission success rate calculation formula, the success probability of power data transmission in the power grid DICP system is calculated. A reliability assessment model for the power grid DICP system is constructed based on the success probability of the power data transmission. The reliability assessment model is then solved to obtain the reliability assessment result of the power grid DICP system.

3. The reliability assessment method for a power grid DICP system according to claim 2, characterized in that, The reliability assessment model is specifically as follows: In the formula, This represents the maximum reliability of each link in the power grid DICP system. For the link reliability from node i to node j in the power grid DICP system, The probability of successful transmission of power data in the power grid DICP system. This shows the distribution of remaining lifetime in the DICP system links of the power grid. As a transmission node for power data in the power grid DICP system, The probability of a busy channel in the power grid DICP system. This represents a compensation term for evaluation errors. This indicates the single transmission delay of power data in the DICP system link of the power grid.

4. The reliability assessment method for a power grid DICP system according to claim 1, characterized in that, The specific formula for calculating the link packet loss rate is as follows: In the formula, The packet loss rate of the link. The uplink loss rate of the DICP channel in the power grid system. This represents the downlink loss rate of the DICP system channel in the power grid.

5. A reliability assessment device for a power grid DICP system, characterized in that, include: The system signal loss model construction unit is used to construct a loss model of the power grid DICP system channel based on the topology of the power grid DICP system to be evaluated and in combination with the power data transmission data of the power grid DICP system. The channel loss equation construction unit is used to obtain the cumulative distribution function of the power grid DICP system channel based on the loss model of the power grid DICP system channel, combined with the time characteristics and Rice distribution law of the power grid DICP system channel, and to construct the loss calculation equation of the power grid DICP system channel based on the cumulative distribution function. The system channel model construction unit is used to obtain the link packet loss rate calculation formula according to the loss calculation equation, and then calculate the link packet loss rate of power data between any two transmission nodes through the link packet loss rate calculation formula. Based on all the link packet loss rates and combined with the power grid DICP system topology, the system channel model of the power grid DICP system is constructed. The reliability index calculation unit is used to calculate the reliability evaluation index of the power grid DICP system based on the system channel model and the power grid flow allocation principle, using the power grid DICP system reliability evaluation index calculation formula. The specific calculation formula for the power grid DICP system reliability index is as follows: In the formula, The reliability evaluation index of the power grid DICP system is as follows. This indicates the number of nodes operating in the power grid DICP system. Indicates the reliability of power grid node i. Represents the total degree of a power grid node. Indicates the number of sites in the power grid DICP system; The reliability assessment unit is used to obtain the reliability assessment results of the power grid DICP system based on the reliability assessment indicators.

6. The power grid DICP system reliability assessment device according to claim 5, characterized in that, The reliability assessment unit specifically includes: The power data time distribution determination subunit is used to simulate the distribution state equation between the remaining lifetime and transmission time of power data in the power grid DICP system, based on the reliability assessment index and in combination with the normal distribution method and the Monte Carlo simulation method. The transmission success rate calculation subunit is used to calculate the transmission success probability of power data in the power grid DICP system based on the distribution state equation and the power data transmission success rate calculation formula. The reliability assessment subunit is used to construct a reliability assessment model for the power grid DICP system based on the success probability of the power data transmission, and to perform calculations based on the reliability assessment model to obtain the reliability assessment result of the power grid DICP system.

7. The power grid DICP system reliability assessment device according to claim 6, characterized in that, The reliability assessment model is specifically as follows: In the formula, This represents the maximum reliability of each link in the power grid DICP system. For the link reliability from node i to node j in the power grid DICP system, The probability of successful transmission of power data in the power grid DICP system. This shows the distribution of remaining lifetime in the DICP system links of the power grid. As a transmission node for power data in the power grid DICP system, The probability of a busy channel in the power grid DICP system. This represents a compensation term for evaluation errors. This indicates the single transmission delay of power data in the DICP system link of the power grid.

8. The power grid DICP system reliability assessment device according to claim 5, characterized in that, The specific formula for calculating the link packet loss rate is as follows: In the formula, The packet loss rate of the link. The uplink loss rate of the DICP channel in the power grid system. This represents the downlink loss rate of the DICP system channel in the power grid.

Images