CN118399390A - Power distribution network resource distribution system based on reliability evaluation - Google Patents
Power distribution network resource distribution system based on reliability evaluation Download PDFInfo
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- CN118399390A CN118399390A CN202410482247.5A CN202410482247A CN118399390A CN 118399390 A CN118399390 A CN 118399390A CN 202410482247 A CN202410482247 A CN 202410482247A CN 118399390 A CN118399390 A CN 118399390A
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Abstract
The invention discloses a power distribution network resource allocation system based on reliability evaluation, and belongs to the technical field of intelligent construction of power distribution networks. A power distribution network resource allocation system based on reliability assessment, comprising: the data acquisition module acquires real-time data from each node of the power distribution network through the sensor and the monitoring equipment; and the reliability evaluation module is used for carrying out reliability analysis on each component of the power distribution network through probability theory. According to the distribution network resource distribution system based on reliability evaluation, the fault diagnosis module is arranged, so that the system can rapidly and accurately locate the position of a fault in the distribution network, the problem of rapid response is facilitated, the influence of the fault on the whole system is reduced, meanwhile, by rapidly diagnosing and locating a fault source, system operation and maintenance personnel can take repair measures more rapidly, the power failure time is shortened, and the reliability of the system is improved.
Description
Technical Field
The invention relates to the technical field of intelligent construction of power distribution networks, in particular to a power distribution network resource distribution system based on reliability evaluation.
Background
The distribution network is an important component in the power system and is responsible for distributing the electric energy provided by the high-voltage transmission network to the electric equipment of an end user, and comprises a series of equipment, circuits and a control system for realizing the conversion and distribution of electric power among different voltage levels, but in the prior art, because the electric equipment is easy to damage due to external reasons when in use, operation and maintenance personnel are required to overhaul the electric equipment in the distribution network one by one at the moment, so that the power failure time of the distribution network is longer, and the reliability of the distribution network system is poorer.
Based on the above, the invention designs a power distribution network resource distribution system based on reliability evaluation to solve the above problems.
Disclosure of Invention
1. Technical problem to be solved
The invention aims to provide a distribution network resource distribution system based on reliability evaluation, so as to solve the problems in the background technology.
2. Technical proposal
A power distribution network resource allocation system based on reliability assessment, comprising:
The data acquisition module acquires real-time data from each node of the power distribution network through the sensor and the monitoring equipment;
the reliability evaluation module is used for carrying out reliability analysis on each component of the power distribution network through probability theory;
The fault diagnosis module is used for identifying and positioning fault anomalies possibly causing unreliable systems according to the real-time data and the reliability evaluation result, carrying out fault diagnosis on the fault anomalies, and connecting the fault diagnosis module with the data acquisition module and the reliability evaluation module;
the resource allocation module is used for reallocating the resources in the power distribution network by adopting an optimization algorithm according to the reliability evaluation and fault diagnosis results, and is connected with the reliability evaluation module and the fault diagnosis module;
The decision support module presents key information in a visual interface mode and provides real-time decision support for operation and maintenance personnel;
And the communication network module is used for establishing a communication network through the internet of things technology and is used for real-time monitoring, data transmission and remote operation.
Preferably, the reliability evaluation module includes:
the probability analysis module is used for evaluating the probability of faults of all components in the system by using a probability theory method;
The availability analysis module is used for evaluating the probability that the system is in an available state in a given time period, and is connected with the probability analysis module;
The fault tree analysis module is used for establishing a fault tree of the system by using a fault tree analysis method, identifying key events and combinations which possibly cause the system to fail, and is connected with the availability analysis module;
The system comprises a reliability block diagram module, a fault tree analysis module and a fault tree analysis module, wherein the reliability block diagram module is used for decomposing the system into a plurality of reliability blocks by utilizing the reliability block diagram, analyzing each reliability block and connecting the reliability block diagram module with the fault tree analysis module;
the sensitivity analysis module is used for carrying out sensitivity analysis on system parameters, determining the parameters with the greatest influence on the reliability of the system, and is connected with the reliability block diagram module.
Preferably, the reliability block diagram module includes:
the system decomposition module is used for decomposing the whole system into reliability blocks, and each block represents a system component;
the block diagram evaluation module is used for carrying out reliability evaluation on each reliability block through a probability theory method and is connected with the system decomposition module;
The reliability calculation module is used for integrating the evaluation results of all the reliability blocks and calculating the reliability level of the whole system, and is connected with the block diagram evaluation module;
The result visualization module is used for providing visualization tools and presenting a reliability block diagram, an evaluation result and a calculation result to operation and maintenance personnel, and is respectively connected with the system decomposition module, the block diagram evaluation module and the reliability calculation module;
And the optimization suggestion module is used for providing optimization suggestions for operation and maintenance personnel based on the reliability evaluation result, and is connected with the reliability calculation module.
Preferably, the fault diagnosis module includes:
The data acquisition module is used for acquiring the data acquired by the data acquisition module and is connected with the data acquisition module;
The fault detection module is used for identifying the condition which is inconsistent with the normal operation mode through a model comparison technology and is connected with the data acquisition module;
The fault positioning module is used for identifying the position of a fault by using a fault tree analysis technology and is connected with the fault detection module;
The cause analysis module is used for finding out the basic problem causing the fault through deep fault analysis, and is connected with the fault positioning module;
And the diagnosis report module is used for producing a detailed fault diagnosis report according to the fault information and notifying operation and maintenance personnel, and is connected with the cause analysis module.
Preferably, the fault detection module includes:
The data processing module is used for preprocessing the acquired real-time data so as to ensure the data quality, and is connected with the data acquisition module
The feature extraction module is used for analyzing the real-time data and extracting key features in the real-time data, and is connected with the data processing module;
The model comparison module is used for comparing actual observed data with an expected model, detecting the difference between the model and the actual data, and connecting the model comparison module with the feature extraction module;
and the real-time alarm module is used for sending out an alarm in time to inform related personnel when abnormal faults are detected, and is connected with the model comparison module.
Preferably, the resource allocation module includes:
The optimization algorithm module is used for designing and implementing a reliability optimization algorithm according to the result of the reliability evaluation module, determining an optimal resource allocation scheme by adopting the optimization algorithm, and connecting the optimization algorithm module with the reliability evaluation module;
The resource scheduling module is used for dynamically adjusting the allocation of resources according to the real-time reliability and fault information, and the resource allocation module is connected with the optimization algorithm module;
The support decision module presents key information in a visual interface mode to provide real-time decision support, and is connected with the resource scheduling module;
the fault response module is used for designing an algorithm to respond to fault events in the system, quickly adjusts resource allocation, and is connected with the support decision module.
Preferably, the resource scheduling module includes:
The spare part management module is used for managing and optimizing the distribution and the use of spare equipment in the system, and is connected with the resource scheduling module;
the load balancing module is used for ensuring uniform load distribution in the system through a load balancing algorithm, and is connected with the resource scheduling module;
The switch control module is used for automatically controlling the state of the switch equipment according to the system state and the real-time data, and is connected with the resource scheduling module;
the priority scheduling module is used for distributing priorities to the devices according to the importance of different devices and the system requirements, and the priority scheduling module is connected with the resource scheduling module.
Preferably, the power distribution network resource allocation system based on reliability evaluation further comprises: and the data security module ensures the security of data transmission through an encryption technology and sets access control.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
1) In the invention, the reliability evaluation module is arranged so as to comprehensively evaluate the system, so that the system provides powerful support for resource allocation and decision making, and the reliability evaluation module provides a basis for system operation and maintenance by providing accurate system state and performance information, thereby improving the reliability, availability and distribution efficiency of the distribution network.
2) According to the invention, by arranging the fault diagnosis module, the system can rapidly and accurately locate the position of the fault in the power distribution network, so that the problem of rapid response is facilitated, the influence of the fault on the whole system is reduced, and meanwhile, by rapidly diagnosing and locating the fault source, system operation and maintenance personnel can more rapidly take repair measures, thereby reducing the power failure time and further improving the reliability of the system.
3) In the invention, by arranging the resource allocation module, the system can focus on components with lower reliability in the system, and the reliability of the components is improved by reasonably allocating resources, so that the reliability level of the whole system is improved to the greatest extent, and meanwhile, the resource allocation module is convenient for helping the system to improve the reliability, stability and efficiency by optimizing the allocation of the resources.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention;
FIG. 2 is a schematic diagram of a reliability evaluation module system according to the present invention;
FIG. 3 is a schematic diagram of a fault diagnosis module system of the present invention;
fig. 4 is a schematic diagram of a resource allocation module system according to the present invention.
Detailed Description
Examples: referring to fig. 1-4, a power distribution network resource allocation system based on reliability evaluation includes:
the data acquisition module can be deployed at key positions such as a transformer substation, a switch device, a circuit and the like through a sensor and monitoring equipment, and acquires real-time data from each node of the power distribution network, wherein the real-time data comprise key parameters such as current, voltage and temperature;
The reliability evaluation module is used for carrying out reliability analysis on each component of the power distribution network through probability theory, so that the availability and reliability level of the system under different fault conditions can be evaluated;
The fault diagnosis module is used for identifying and positioning fault anomalies possibly causing unreliable systems according to the real-time data and the reliability evaluation result, carrying out fault diagnosis on the fault anomalies, and connecting the fault diagnosis module with the data acquisition module and the reliability evaluation module;
the resource allocation module is used for reallocating resources in the power distribution network by adopting an optimization algorithm according to reliability evaluation and fault diagnosis results, so that the running state of equipment is convenient to adjust, a power supply path is switched, a repair plan is formulated and the like, and the resource allocation module is connected with the reliability evaluation module and the fault diagnosis module;
The decision support module presents key information in a visual interface mode and provides real-time decision support for operation and maintenance personnel, so that the operation and maintenance personnel can be helped to make decisions quickly;
the communication network module is used for establishing a communication network through the internet of things technology and used for real-time monitoring, data transmission and remote operation;
and the data security module ensures the security of data transmission through encryption technology and sets access control so as to protect key information from unauthorized access.
As a preferred embodiment of the present invention, the reliability evaluation module includes:
The probability analysis module evaluates the probability of faults of each component in the system by using a probability theory method, so that probability distribution of different fault modes and time can be conveniently known;
The availability analysis module is used for evaluating the probability that the system is in an available state in a given time period, and is connected with the probability analysis module;
The fault tree analysis module is used for establishing a fault tree of the system by using a fault tree analysis method, identifying key events and combinations which possibly cause the system to fail, so that the overall reliability of the system is calculated by analyzing the fault tree, and the fault tree analysis module is connected with the availability analysis module;
The reliability block diagram module is used for decomposing the system into a plurality of reliability blocks by utilizing the reliability block diagram, analyzing each reliability block, further calculating the reliability of the whole system, and connecting the reliability block diagram module with the fault tree analysis module;
And the sensitivity analysis module is used for carrying out sensitivity analysis on the system parameters and determining the parameters with the greatest influence on the reliability of the system, so that suggestions for improving the reliability of the system are provided through the sensitivity analysis, and the sensitivity analysis module is connected with the reliability block diagram module.
In this embodiment, the reliability block diagram module includes:
A system decomposition module for decomposing the entire system into reliability blocks, each block representing a system component, thereby facilitating determination of the hierarchical structure of the system and the dependency relationship between the components;
the block diagram evaluation module is used for carrying out reliability evaluation on each reliability block through a probability theory method so as to estimate the probability of the block operating normally under a given condition, and is connected with the system decomposition module;
The reliability calculation module is used for integrating the evaluation results of all the reliability blocks and calculating the reliability level of the whole system, so that operation and maintenance personnel can know the reliability level of the whole system conveniently, and the reliability calculation module is connected with the block diagram evaluation module;
The result visualization module is used for providing visualization tools and presenting a reliability block diagram, an evaluation result and a calculation result to operation and maintenance personnel, so that the operation and maintenance personnel can better understand the reliability structure and key influencing factors of the system, and the result visualization module is respectively connected with the system decomposition module, the block diagram evaluation module and the reliability calculation module;
and the optimization suggestion module is used for providing optimization suggestions for operation and maintenance personnel based on the reliability evaluation result, so that the overall reliability of the system is improved, and is connected with the reliability calculation module.
As a preferred embodiment of the present invention, the fault diagnosis module includes:
the data acquisition module is used for acquiring data acquired by the data acquisition module, wherein the data acquisition module comprises key parameters such as current, voltage, temperature and the like, and is connected with the data acquisition module;
The fault detection module is used for identifying the condition which is inconsistent with the normal operation mode through a model comparison technology, so that fault abnormality existing in the system can be detected conveniently, and the fault detection module is connected with the data acquisition module;
The fault positioning module is used for identifying the position of the fault by using a fault tree analysis technology, so that operation and maintenance personnel can conveniently determine affected equipment or components, and the fault positioning module is connected with the fault detection module;
the cause analysis module finds out the basic problem causing the fault through deep fault analysis, so that support is provided for formulating effective repair and preventive measures, and the cause analysis module is connected with the fault positioning module;
the diagnosis report module is used for producing detailed fault diagnosis reports according to the fault information and notifying operation and maintenance personnel, so that the operation and maintenance personnel can be helped to quickly take corresponding measures, and the diagnosis report module is connected with the cause analysis module.
In this embodiment, the fault detection module includes:
The data processing module is used for preprocessing the acquired real-time data so as to ensure the data quality, thereby improving the accuracy of fault detection, and is connected with the data acquisition module
The feature extraction module is used for analyzing the real-time data and extracting key features in the real-time data, so that the data can be converted into a form which can be used for model training or comparison, and the feature extraction module is connected with the data processing module;
the model comparison module is used for comparing actual observed data with an expected model, detecting the difference between the model and the actual data, so that abnormal faults can be detected conveniently according to the data difference, and the model comparison module is connected with the feature extraction module;
And the real-time alarm module is used for timely sending out an alarm to inform related personnel when abnormal faults are detected, the alarm can be notified through a short message, a mail, a visual interface and the like, and the real-time alarm module is connected with the model comparison module.
As a preferred embodiment of the present invention, the resource allocation module includes:
The optimization algorithm module is used for designing and implementing a reliability optimization algorithm according to the result of the reliability evaluation module, and determining an optimal resource allocation scheme by adopting the optimization algorithm so as to improve the reliability of the system to the greatest extent, and the optimization algorithm module is connected with the reliability evaluation module;
The resource scheduling module is used for dynamically adjusting the allocation of resources according to the real-time reliability and fault information so as to be capable of coping with system changes and emergencies at any time, and is connected with the optimization algorithm module;
The support decision-making module presents key information in a visual interface mode to provide real-time decision-making support, so that operation and maintenance personnel can be helped to make decisions quickly, and the support decision-making module is connected with the resource scheduling module;
the fault response module is used for designing an algorithm to respond to fault events in the system and rapidly adjusting resource allocation so as to reduce the influence of faults on the system, and is connected with the support decision module.
In this embodiment, the resource scheduling module includes:
The spare part management module is used for managing and optimizing the distribution and the use of spare equipment in the system, so that the spare part can be immediately put into use when needed, and the spare part management module is connected with the resource scheduling module;
The load balancing module is used for ensuring uniform load distribution in the system through a load balancing algorithm and avoiding overload of certain equipment, so that the reliability of the whole system is improved, and the load balancing module is connected with the resource scheduling module;
The switch control module is used for automatically controlling the state of the switch equipment according to the system state and the real-time data, so that the optimal power supply path and equipment configuration are realized, and the switch control module is connected with the resource scheduling module;
The priority scheduling module is used for distributing priorities to the devices according to the importance of different devices and the system requirements, so that higher resource distribution of the key devices is ensured, and the priority scheduling module is connected with the resource scheduling module.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A power distribution network resource allocation system based on reliability assessment, comprising:
The data acquisition module acquires real-time data from each node of the power distribution network through the sensor and the monitoring equipment;
the reliability evaluation module is used for carrying out reliability analysis on each component of the power distribution network through probability theory;
The fault diagnosis module is used for identifying and positioning fault anomalies possibly causing unreliable systems according to the real-time data and the reliability evaluation result, carrying out fault diagnosis on the fault anomalies, and connecting the fault diagnosis module with the data acquisition module and the reliability evaluation module;
the resource allocation module is used for reallocating the resources in the power distribution network by adopting an optimization algorithm according to the reliability evaluation and fault diagnosis results, and is connected with the reliability evaluation module and the fault diagnosis module;
The decision support module presents key information in a visual interface mode and provides real-time decision support for operation and maintenance personnel;
And the communication network module is used for establishing a communication network through the internet of things technology and is used for real-time monitoring, data transmission and remote operation.
2. A power distribution network resource allocation system based on reliability assessment according to claim 1, wherein said reliability assessment module comprises:
the probability analysis module is used for evaluating the probability of faults of all components in the system by using a probability theory method;
The availability analysis module is used for evaluating the probability that the system is in an available state in a given time period, and is connected with the probability analysis module;
The fault tree analysis module is used for establishing a fault tree of the system by using a fault tree analysis method, identifying key events and combinations which possibly cause the system to fail, and is connected with the availability analysis module;
The system comprises a reliability block diagram module, a fault tree analysis module and a fault tree analysis module, wherein the reliability block diagram module is used for decomposing the system into a plurality of reliability blocks by utilizing the reliability block diagram, analyzing each reliability block and connecting the reliability block diagram module with the fault tree analysis module;
the sensitivity analysis module is used for carrying out sensitivity analysis on system parameters, determining the parameters with the greatest influence on the reliability of the system, and is connected with the reliability block diagram module.
3. A power distribution network resource allocation system based on reliability assessment according to claim 2, wherein said reliability block diagram module comprises:
the system decomposition module is used for decomposing the whole system into reliability blocks, and each block represents a system component;
the block diagram evaluation module is used for carrying out reliability evaluation on each reliability block through a probability theory method and is connected with the system decomposition module;
The reliability calculation module is used for integrating the evaluation results of all the reliability blocks and calculating the reliability level of the whole system, and is connected with the block diagram evaluation module;
The result visualization module is used for providing visualization tools and presenting a reliability block diagram, an evaluation result and a calculation result to operation and maintenance personnel, and is respectively connected with the system decomposition module, the block diagram evaluation module and the reliability calculation module;
And the optimization suggestion module is used for providing optimization suggestions for operation and maintenance personnel based on the reliability evaluation result, and is connected with the reliability calculation module.
4. The power distribution network resource allocation system based on reliability assessment according to claim 1, wherein said fault diagnosis module comprises:
The data acquisition module is used for acquiring the data acquired by the data acquisition module and is connected with the data acquisition module;
The fault detection module is used for identifying the condition which is inconsistent with the normal operation mode through a model comparison technology and is connected with the data acquisition module;
The fault positioning module is used for identifying the position of a fault by using a fault tree analysis technology and is connected with the fault detection module;
The cause analysis module is used for finding out the basic problem causing the fault through deep fault analysis, and is connected with the fault positioning module;
And the diagnosis report module is used for producing a detailed fault diagnosis report according to the fault information and notifying operation and maintenance personnel, and is connected with the cause analysis module.
5. The power distribution network resource allocation system based on reliability assessment according to claim 4, wherein said fault detection module comprises:
The data processing module is used for preprocessing the acquired real-time data so as to ensure the data quality, and is connected with the data acquisition module
The feature extraction module is used for analyzing the real-time data and extracting key features in the real-time data, and is connected with the data processing module;
The model comparison module is used for comparing actual observed data with an expected model, detecting the difference between the model and the actual data, and connecting the model comparison module with the feature extraction module;
and the real-time alarm module is used for sending out an alarm in time to inform related personnel when abnormal faults are detected, and is connected with the model comparison module.
6. A power distribution network resource allocation system based on reliability assessment according to claim 1, wherein said resource allocation module comprises:
The optimization algorithm module is used for designing and implementing a reliability optimization algorithm according to the result of the reliability evaluation module, determining an optimal resource allocation scheme by adopting the optimization algorithm, and connecting the optimization algorithm module with the reliability evaluation module;
The resource scheduling module is used for dynamically adjusting the allocation of resources according to the real-time reliability and fault information, and the resource allocation module is connected with the optimization algorithm module;
The support decision module presents key information in a visual interface mode to provide real-time decision support, and is connected with the resource scheduling module;
the fault response module is used for designing an algorithm to respond to fault events in the system, quickly adjusts resource allocation, and is connected with the support decision module.
7. The power distribution network resource allocation system based on reliability assessment according to claim 6, wherein said resource scheduling module comprises:
The spare part management module is used for managing and optimizing the distribution and the use of spare equipment in the system, and is connected with the resource scheduling module;
the load balancing module is used for ensuring uniform load distribution in the system through a load balancing algorithm, and is connected with the resource scheduling module;
The switch control module is used for automatically controlling the state of the switch equipment according to the system state and the real-time data, and is connected with the resource scheduling module;
the priority scheduling module is used for distributing priorities to the devices according to the importance of different devices and the system requirements, and the priority scheduling module is connected with the resource scheduling module.
8. A reliability-assessment-based power distribution network resource allocation system according to claim 1, further comprising: and the data security module ensures the security of data transmission through an encryption technology and sets access control.
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