Method for evaluating reliability of power communication network
Through systematic evaluation methods, combined with big data and machine learning technology, a visual power communication network reliability evaluation model is built, which solves the problem that existing technology is difficult to comprehensively evaluate the reliability of power communication network, and provides scientific evaluation results to ensure that The safe and stable operation of the power system.
Patent Information
- Application Number
- CN202411309047.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-19
- Publication Date
- 2025-01-17
AI Technical Summary
The existing reliability evaluation methods of power communication networks are difficult to comprehensively and in-depth evaluate the reliability of the network, and cannot effectively ensure the safe and stable operation of the power system, especially when high reliability, real-time and continuity requirements are increased.
Through the steps of network structure evaluation, equipment performance evaluation, work path information collection, data preprocessing, feature engineering, big data analysis, reliability evaluation model construction and model verification and optimization, combined with big data technology and machine learning algorithms, visualization Reliability assessment model, providing scientific evaluation results.
It realizes a comprehensive and in-depth assessment of the reliability of the power communication network, provides strong guarantees for the safe and stable operation of the power system, simplifies the analysis and evaluation work of the operation and maintenance units, is easy to combine with the index system, quantitative evaluation results, and conforms to the operation and maintenance of the communication network Management requirements.
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Figure CN119324872A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power communication analysis and evaluation, and in particular to a method for evaluating the reliability of a power communication network. Background Art
[0002] The power grid is designed to transport the power resources produced by power generation enterprises to power consumption terminals through the transmission network, while the power communication network is the carrier for the transmission of various information generated during the operation of the power grid system. It not only provides business channels for the connection of various protection devices, but also undertakes the communication business between control centers and between control centers and control devices, the transmission and sharing of various types of information, the realization of signal communication between protection devices, and the guarantee of timely and accurate arrival of dispatch information.
[0003] The main services of the power communication network include power production control, power transmission control and power dispatching control. Its information content also includes telephone fax, telecontrol and data signals, protection signals, monitoring information and other forms. The improvement of the automation level of power grid management requires that the communication quality meet more requirements. More and more services require high reliability, real-time and continuity. The position of the power communication network in the safe operation of the power grid is becoming more and more prominent.
[0004] The reliability analysis of the power communication network aims to understand the reliability status of the network, give corresponding treatment suggestions for the problems found in time, and provide guarantee for the normal operation of the communication business. At the beginning of network deployment or business, reliability analysis aims to comprehensively consider the mutual influence of various businesses, select the best deployment strategy, and achieve the highest reliability of strategy operation while making rational use of resources. In addition, the formulation and implementation of emergency response strategies can also be completed through reliability analysis. By artificially introducing fault modes in the analysis system, not only can its impact range be analyzed theoretically, but also the business recovery strategy that does not rely on fault resources can be calculated, providing a relatively abundant time capacity for subsequent emergency repairs.
[0005] As a dedicated communication network supporting the intelligent development of my country's power system, power communication is independent of the public communication network. The evaluation of the power communication network can not only reflect the operation status of the network and discover the real-time status of the business in the operation of the power system, but also discover the defects and hidden dangers in the communication network. It can also guide the future construction and planning of the power communication network and even the power system in combination with the new intelligent needs of the power system, and steadily promote the intelligentization of the power system.
[0006] Based on the above, we propose a method to evaluate the reliability of power communication network. Summary of the invention
[0007] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.
[0008] In view of the problems existing in the prior art, the present invention is proposed.
[0009] Therefore, the purpose of the present invention is to provide a method for evaluating the reliability of a power communication network, which can conduct a comprehensive and in-depth evaluation of the reliability of the power communication network and provide a strong guarantee for the safe and stable operation of the power system.
[0010] To solve the above technical problems, according to one aspect of the present invention, the present invention provides the following technical solutions:
[0011] A method for evaluating the reliability of a power communication network comprises the following steps:
[0012] Step 1: Network structure evaluation, evaluating the network topology, number of network nodes, and network node layout;
[0013] Step 2: Equipment performance evaluation, evaluate the quality and power supply of the equipment;
[0014] Step 3: Collecting working path information: collecting working path information of each communication path in the power communication network;
[0015] Step 4: Data collection and preprocessing: collect real-time and historical operation data of the power network and then preprocess them;
[0016] Step 5: Feature engineering, based on data preprocessing, extract features that can reflect the reliability of the power network;
[0017] Step 6: Big data analysis, using big data technology to analyze the extracted features to identify the key factors affecting the reliability of the power network;
[0018] Step 7: Construct a reliability assessment model. Based on the big data analysis structure, a reliability assessment model is constructed to predict or assess the reliability of the power communication network.
[0019] Step 8: Model verification and optimization. After the model is built, it is necessary to verify and optimize the model to ensure its accuracy and generalization ability.
[0020] Step 9: Visual presentation: present the analysis results and evaluation model in a visual way so that the power communication network manager can intuitively understand the operation status of the communication network and make decisions based on the report.
[0021] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, the specific process in step 1 is as follows: first, analyze whether the topology of the network is reasonable, whether there are redundancy and loop problems, and then evaluate whether the number of nodes is sufficient and whether the node layout is reasonable to reduce transmission delay and signal attenuation.
[0022] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, the specific process in step 2 is as follows: first, check whether the hardware and software of the communication equipment are advanced, whether there are problems with high failure rate or performance bottleneck, and then evaluate the stability and reliability of the power supply to ensure that the equipment works normally in high temperature, low temperature or power fluctuation environment.
[0023] As a preferred solution of the method for evaluating the reliability of the power communication network described in the present invention, wherein: in the step 3, the starting point, end point, path nodes, transmission medium, and bandwidth requirements of the path are included, and this information can be obtained by analyzing the topological structure and communication traffic of the existing communication network.
[0024] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, the specific process of step 4 is as follows: first, historical data on the power communication network structure, equipment parameters, load conditions, and fault records are collected, and then these data are cleaned, format converted, and missing values are filled for subsequent analysis.
[0025] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, in step 5, the reliability characteristics include the operating status of the characteristic power grid, the health status of the equipment, the failure mode, and the load change trend.
[0026] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, in step 6, distributed computing and machine learning algorithms are used with the help of data mining and machine learning platforms to analyze the extracted features.
[0027] As a preferred embodiment of the method for evaluating the reliability of a power communication network described in the present invention, wherein: in the step 7, the reliability evaluation model includes a communication subsystem reliability analysis evaluation model and a communication service reliability analysis evaluation model; the communication subsystem reliability analysis evaluation model includes equipment composition analysis, node coverage analysis, system structure analysis, system resource analysis, operation status analysis and management and control capability analysis; the communication service reliability analysis evaluation model includes service channel N-1 analysis, operation status analysis and service channel rationality analysis.
[0028] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, wherein: in the step 8, the reliability evaluation model can be verified by cross-validation and model comparison methods.
[0029] As a preferred solution of the method for evaluating the reliability of a power communication network described in the present invention, the visualization carrier in step 9 includes a smart phone, a tablet computer and a PC.
[0030] Compared with the prior art, the present invention has the following beneficial effects:
[0031] (1) It can effectively evaluate the reliability of the power communication network and provide a scientific basis for the planning, operation and maintenance of the power communication network; it can conduct a comprehensive and in-depth evaluation of the reliability of the power communication network and provide a strong guarantee for the safe and stable operation of the power system;
[0032] (2) It is simple, practical, and highly operable. Without the support of an application system, and without complex algorithms and models, it can guide various operation and maintenance units to conduct analysis and evaluation of the existing network as long as clear work instructions are provided;
[0033] (3) It is easy to combine with the construction of the indicator system, which is conducive to the quantitative evaluation results. Each link of the analysis and evaluation model can be evaluated by setting multiple indicators, which meets the requirements of communication network operation and maintenance management and lays the foundation for the establishment of a reliability quantitative evaluation system in the future. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail below in combination with the accompanying drawings and detailed embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:
[0035] Figure 1 It is a schematic diagram of the structure of the steps of the present invention;
[0036] Figure 2 This is a schematic diagram of the reliability analysis and evaluation model structure of the communication subsystem of the present invention;
[0037] Figure 3 It is a schematic diagram of the structure of the communication service reliability analysis and evaluation model of the present invention. DETAILED DESCRIPTION
[0038] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.
[0039] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.
[0040] Secondly, the present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.
[0041] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0042] The present invention provides the following technical solutions: a method for evaluating the reliability of a power communication network, which can conduct a comprehensive and in-depth evaluation of the reliability of the power communication network, and provide a strong guarantee for the safe and stable operation of the power system;
[0043] Figures 1 to 3 What is shown is a structural schematic diagram of an embodiment of a method for evaluating reliability of a power communication network according to the present invention;
[0044] Example 1
[0045] A method for evaluating the reliability of a power communication network comprises the following steps:
[0046] Step 1: Network structure assessment, assessing the network topology, number of network nodes, and network node layout. The specific process is as follows: First, analyze whether the network topology is reasonable, whether there are redundancy and loop problems, and then assess whether the number of nodes is sufficient and whether the node layout is reasonable to reduce transmission delay and signal attenuation;
[0047] Step 2: Equipment performance evaluation, evaluate the quality and power supply of the equipment. The specific process is as follows: first check whether the hardware and software of the communication equipment are advanced, whether there are problems such as high failure rate or performance bottleneck, and then evaluate the stability and reliability of the power supply to ensure that the equipment can work normally in high temperature, low temperature or power fluctuation environment;
[0048] Step 3: Collect working path information, collect working path information of each communication path in the power communication network, including the starting point, end point, nodes along the way, transmission medium, and bandwidth requirements of the path. This information can be obtained by analyzing the topological structure and communication traffic of the existing communication network;
[0049] Step 4: Data collection and preprocessing: collect real-time and historical operation data of the power network, and then preprocess it. The specific process is as follows: first collect historical data on the power communication network structure, equipment parameters, load conditions, and fault records, and then clean, convert the format, and fill in missing values for these data for subsequent analysis;
[0050] Step 5: Feature engineering: Based on data preprocessing, extract features that can reflect the reliability of the power grid. Reliability features include the operating status of the characteristic power grid, the health status of the equipment, the failure mode, and the load change trend.
[0051] Step 6: Big data analysis: Use big data technology to analyze the extracted features to identify the key factors affecting the reliability of the power network. Use distributed computing, machine learning algorithms, and data mining and machine learning platforms to analyze the extracted features.
[0052] Step 7: Construct a reliability assessment model. According to the big data analysis structure, a reliability assessment model is constructed to predict or assess the reliability of the power communication network. The reliability assessment model includes a communication subsystem reliability analysis and assessment model and a communication service reliability analysis and assessment model. The communication subsystem reliability analysis and assessment model includes equipment composition analysis, node coverage analysis, system structure analysis, system resource analysis, operation status analysis and management and control capability analysis. The communication service reliability analysis and assessment model includes service channel N-1 analysis, operation status analysis and service channel rationality analysis.
[0053] Step 8: Model verification and optimization. After the model is built, the model needs to be verified and optimized to ensure its accuracy and generalization ability. The reliability assessment model can be verified through cross-validation and model comparison methods.
[0054] Step 9: Visual presentation: present the analysis results and evaluation model in a visual way so that the power communication network manager can intuitively understand the operation status of the communication network and make decisions based on the report. The visualization carriers include smartphones, tablets and PCs.
[0055] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced by equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed in the present invention may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.
Claims
1. A method for evaluating the reliability of a power communication network, characterized in that: The steps include: Step 1: Network structure evaluation, evaluating the network topology, number of network nodes, and network node layout; Step 2: Equipment performance evaluation, evaluate the quality and power supply of the equipment; Step 3: Collecting working path information: collecting working path information of each communication path in the power communication network; Step 4: Data collection and preprocessing: collect real-time and historical operation data of the power network and then preprocess them; Step 5: Feature engineering, based on data preprocessing, extract features that can reflect the reliability of the power network; Step 6: Big data analysis, using big data technology to analyze the extracted features to identify the key factors affecting the reliability of the power network; Step 7: Construct a reliability assessment model. Based on the big data analysis structure, a reliability assessment model is constructed to predict or assess the reliability of the power communication network. Step 8: Model verification and optimization. After the model is built, it is necessary to verify and optimize the model to ensure its accuracy and generalization ability. Step 9: Visual presentation: present the analysis results and evaluation model in a visual way so that the power communication network manager can intuitively understand the operation status of the communication network and make decisions based on the report.
2. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: The specific process in step 1 is as follows: first analyze whether the network topology is reasonable and whether there are redundancy and loop problems, and then evaluate whether the number of nodes is sufficient and the node layout is reasonable to reduce transmission delay and signal attenuation.
3. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: The specific process in step 2 is as follows: first, check whether the hardware and software of the communication equipment are advanced, whether there are problems with high failure rate or performance bottleneck, and then evaluate the stability and reliability of the power supply to ensure that the equipment works normally in high temperature, low temperature or power fluctuation environment.
4. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: The step 3 includes the starting point, the end point, the nodes along the way, the transmission medium, and the bandwidth requirement of the path. Such information can be obtained by analyzing the topological structure and the communication traffic of the existing communication network.
5. The method for evaluating the reliability of a power communication network according to claim 1, characterized in that: The specific process of step 4 is as follows: first, historical data on the power communication network structure, equipment parameters, load conditions, and fault records are collected, and then these data are cleaned, format converted, and missing values are filled for subsequent analysis.
6. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: In step 5, the reliability characteristics include the operating status of the characteristic power grid, the health status of the equipment, the failure mode, and the load change trend.
7. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: In step 6, distributed computing and machine learning algorithms are used with the help of data mining and machine learning platforms to analyze the extracted features.
8. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: In step 7, the reliability assessment model includes a communication subsystem reliability analysis and assessment model and a communication service reliability analysis and assessment model; the communication subsystem reliability analysis and assessment model includes equipment composition analysis, node coverage analysis, system structure analysis, system resource analysis, operation status analysis and management and control capability analysis; the communication service reliability analysis and assessment model includes service channel N-1 analysis, operation status analysis and service channel rationality analysis.
9. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: In step 8, the reliability assessment model can be verified by cross-validation and model comparison methods.
10. A method for evaluating the reliability of a power communication network according to claim 1, characterized in that: The visualization carrier in step 9 includes a smart phone, a tablet computer and a PC.