CN111415077A - Intelligent distribution network fault diagnosis positioning method - Google Patents
Intelligent distribution network fault diagnosis positioning method Download PDFInfo
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- CN111415077A CN111415077A CN202010185681.9A CN202010185681A CN111415077A CN 111415077 A CN111415077 A CN 111415077A CN 202010185681 A CN202010185681 A CN 202010185681A CN 111415077 A CN111415077 A CN 111415077A
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- 230000001149 cognitive effect Effects 0.000 claims abstract description 5
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 4
- 238000004891 communication Methods 0.000 claims description 6
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Abstract
The invention provides an intelligent distribution network fault diagnosis positioning method, which comprises the following steps of S01, establishing a fault diagnosis positioning integrated system; s02, establishing an analysis and evaluation model based on the operation state of the distribution network, outputting engineering data and forming a fault diagnosis cognitive method; s03, establishing situation indexes of operation of a power system and equipment, and adopting a factor model and a free probability to provide a distribution network ground fault identification algorithm; step S04, carrying out abnormal detection, fault diagnosis and alarm on the state of the multidimensional data distribution network system; and step S05, forming an intelligent quick-switching comprehensive background system for the ground fault. The method accurately identifies the fault type and the fault area, reduces the fault positioning time, prevents the accident from being enlarged, avoids the power failure of the non-fault branch, and improves the power supply reliability; the accuracy of line selection and positioning is ensured by the mutual supplement of a novel transient line selection principle and an artificial intelligent deep learning algorithm.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a fault diagnosis and positioning method for an intelligent distribution network.
Background
In order to achieve the purpose of effectively treating the damage of the ground fault of the power distribution network, except for arc extinction, voltage limitation and current limitation by installing arc extinction coils, the fault type is automatically, quickly and accurately diagnosed when the fault occurs, and the quick line selection and the tripping of a fault branch are more important. Therefore, power failure of a non-fault branch circuit caused by manual troubleshooting can be avoided, faults are isolated in time, the accident is prevented from being enlarged, the fault repairing speed is accelerated, and the method has great significance for improving the power supply reliability and safety of a power grid.
In order to meet the current requirements of reliable power supply, reduction of unplanned power failure, quick positioning, timely tripping to remove fault points and eliminate electric shock hidden dangers and reduce the requirement of electric shock casualty accidents on ensuring personal safety when a power distribution network system fails, a technical method for identifying fault characteristics of the power distribution network, accurately selecting lines of fault branches and quickly positioning the fault points needs to be mastered, accurate and quick removal of the fault branches is guaranteed, sections where faults (line breakage, interphase short circuit and single-phase grounding) are automatically and efficiently detected are located, the fault points are timely positioned and eliminated, safety threats to the power distribution network system caused by the faults are avoided, and the reliability and safety of power supply of the power distribution network are improved.
Therefore, technical personnel in the field need to provide an intelligent distribution network fault diagnosis and positioning method, which can avoid power failure of a non-fault branch caused by manual investigation on the one hand, and avoid electric shock accidents of personnel through application of a rapid cutting and alternate cutting mechanism of a fault branch on the other hand, and has great significance for personnel safety guarantee.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the intelligent distribution network fault diagnosis and positioning method can avoid power failure of a non-fault branch circuit caused by manual troubleshooting on one hand, and on the other hand, by means of rapid cutting of the fault branch circuit and application of a round cutting mechanism, personnel electric shock accidents are avoided, and the method is significant for personnel safety guarantee.
The technical scheme adopted by the invention for solving the technical problems is as follows: the method for diagnosing and positioning the fault of the intelligent distribution network comprises the following steps:
step S01, establishing a fault diagnosis and positioning integrated system;
s02, establishing an analysis and evaluation model based on the operation state of the distribution network, outputting engineering data and forming a fault diagnosis cognitive method;
s03, establishing situation indexes of operation of a power system and equipment, and adopting a factor model and a free probability to provide a distribution network ground fault identification algorithm;
step S04, carrying out abnormal detection, fault diagnosis and alarm on the state of the multidimensional data distribution network system;
and step S05, forming an intelligent quick-switching comprehensive background system for the ground fault.
Preferably, the step S01 includes an off-site fault indicator, a cloud server, an on-site line selection system, and a mobile terminal, where the cloud server is connected through the off-site fault indicator, the on-site line selection system, and the mobile terminal.
Preferably, the off-site fault indicator includes a detection module, a processing module, an indication module, a communication module and a user side, and the detection module, the processing module, the indication module, the communication module and the user side are connected in sequence.
Preferably, the mobile terminal includes a tablet, a mobile phone and a notebook.
Preferably, the step S02 includes the steps of: s021, carrying out simulation analysis on different faults, and outputting a plurality of types of fault samples; s022, performing feature self-learning based on deep learning on different types of fault samples; s023, classifying the fault.
Preferably, the step S04 specifically includes: step S041, integrating the trend data, the sequence network data and the dynamic data; s042, forming intermediate data to obtain result data; and S043, performing feature extraction on the result data to obtain key features.
Preferably, the ground fault intelligent fast-switching comprehensive background system in step S05 includes a panorama display module, a fault detection module, a comprehensive query module, and a high-level application module.
Preferably, the panoramic display module comprises a GIS display unit, a KPI display unit and a failure high-incidence area display unit.
The invention provides an intelligent distribution network fault diagnosis and positioning method, which has the following advantages:
1. the method has the advantages of accurately identifying fault types and fault areas, reducing fault positioning time, preventing accident expansion, avoiding power failure of non-fault branches and improving power supply reliability.
2. By means of mutual complementation of a novel transient state line selection principle and an artificial intelligence deep learning algorithm, accuracy of line selection and positioning is guaranteed, accident potential hazards are found in time, accidents are prevented in the bud, and safe operation of a power grid is guaranteed.
4. A large amount of wave recording data, powerful online waveform browsers and background browsing and analyzing software provide powerful means for substation accident analysis and provide basis for power grid construction and transformation.
5. If the system is popularized and applied, the power supply safety and reliability of the power distribution network can be comprehensively improved, and the safe and economic operation of the system is ensured.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an intelligent distribution network fault diagnosis positioning method in the present invention.
Detailed Description
In order to make the contents of the present invention more comprehensible, the present invention is further described below with reference to the accompanying drawings. The invention is of course not limited to this particular embodiment, and general alternatives known to those skilled in the art are also covered by the scope of the invention. The present invention is described in detail with reference to the drawings, and the drawings are not to be considered as limiting the invention, but are enlarged partially in accordance with the general scale for convenience of explanation.
The invention provides an intelligent distribution network fault diagnosis and positioning method, which comprises the following steps:
and step S01, establishing a fault diagnosis and positioning integrated system.
Step S01 includes an off-site fault indicator, a cloud server, an on-site line selection system, and a mobile terminal, where the cloud server is connected through the off-site fault indicator, the on-site line selection system, and the mobile terminal.
The off-site fault indicator comprises a detection module, a processing module, an indication module, a communication module and a user side, wherein the detection module, the processing module, the indication module, the communication module and the user side are sequentially connected. The mobile terminal comprises a tablet, a mobile phone and a notebook.
And the latest artificial intelligence deep learning method is utilized to carry out theoretical research and field verification on the system criterion. Meanwhile, according to the design specification and requirements of relay protection, a safe and reliable intelligent fault diagnosis and positioning integrated system is developed, the intelligent fault diagnosis and positioning integrated system has the functions of branch circuit switching and fault tripping, has the functions of reclosing and post acceleration matched with line protection, and realizes quick positioning indication of a fault branch circuit.
By applying the system, the unplanned power failure of the distribution network is reduced, the fault location is convenient to search and timely and accurately processed, and the requirement of ensuring personal safety when the power distribution network system fails at present is met while the continuous reliability of power supply is ensured.
S02, establishing an analysis and evaluation model based on the operation state of the distribution network, outputting engineering data and forming a fault diagnosis cognitive method; step S02 includes the following steps: s021, carrying out simulation analysis on different faults, and outputting a plurality of types of fault samples; s022, performing feature self-learning based on deep learning on different types of fault samples; s023, classifying the fault.
A distribution network running state analysis and evaluation model based on high-dimensional space-time data driving is established by using an artificial intelligence deep learning method, and a fault diagnosis positioning cognitive method taking engineering data as a main driving force is formed.
S03, establishing situation indexes of operation of a power system and equipment, and adopting a factor model and a free probability to provide a distribution network ground fault identification algorithm; the method comprises the steps of constructing a situation index of operation of a power system and equipment considering both sensitivity and reliability, and providing theoretical research and field verification of distribution network fault identification and fault positioning algorithms by combining a factor model, free probability and the like.
Step S04, carrying out abnormal detection, fault diagnosis and alarm on the state of the multidimensional data distribution network system; step S04 specifically includes: step S041, integrating the trend data, the sequence network data and the dynamic data; s042, forming intermediate data to obtain result data; and S043, performing feature extraction on the result data to obtain key features.
And step S05, forming an intelligent quick-switching comprehensive background system for the ground fault. The ground fault intelligent fast-switching comprehensive background system in the step S05 comprises a panoramic display module, a fault detection module, a comprehensive query module and a high-level application module. The panorama display module comprises a GIS display unit, a KPI display unit and a failure high-incidence area display unit.
The invention provides an intelligent distribution network fault diagnosis and positioning method, which has the following advantages: the method has the advantages of accurately identifying fault types and fault areas, reducing fault positioning time, preventing accident expansion, avoiding power failure of non-fault branches and improving power supply reliability. By means of mutual complementation of a novel transient state line selection principle and an artificial intelligence deep learning algorithm, accuracy of line selection and positioning is guaranteed, accident potential hazards are found in time, accidents are prevented in the bud, and safe operation of a power grid is guaranteed. A large amount of wave recording data, powerful online waveform browsers and background browsing and analyzing software provide powerful means for substation accident analysis and provide basis for power grid construction and transformation. The power supply safety and reliability of the power distribution network can be comprehensively improved, and the safe and economic operation of the system is ensured.
Although the present invention has been described mainly in the above embodiments, it is described as an example only and the present invention is not limited thereto. Numerous modifications and applications will occur to those skilled in the art without departing from the essential characteristics of the embodiments. For example, each of the components detailed for the embodiments may be modified and operated, and the differences associated with the variants and applications may be considered to be included within the scope of protection of the invention as defined by the following claims.
Reference in the specification to an embodiment means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with any embodiment, it is submitted that it is within the purview of one skilled in the art to effect such feature, structure, or characteristic in connection with other ones of the embodiments.
Claims (8)
1. An intelligent distribution network fault diagnosis positioning method is characterized by comprising the following steps:
step S01, establishing a fault diagnosis and positioning integrated system;
s02, establishing an analysis and evaluation model based on the operation state of the distribution network, outputting engineering data and forming a fault diagnosis cognitive method;
s03, establishing situation indexes of operation of a power system and equipment, and adopting a factor model and a free probability to provide a distribution network ground fault identification algorithm;
step S04, carrying out abnormal detection, fault diagnosis and alarm on the state of the multidimensional data distribution network system;
and step S05, forming an intelligent quick-switching comprehensive background system for the ground fault.
2. The intelligent distribution network fault diagnosis positioning method according to claim 1, wherein the step S01 includes an off-site fault indicator, a cloud server, an on-site line selection system and a mobile terminal, and the cloud server is connected through the off-site fault indicator, the on-site line selection system and the mobile terminal.
3. The intelligent distribution network fault diagnosis positioning method of claim 2, wherein the off-site fault indicator comprises a detection module, a processing module, an indication module, a communication module and a user side, and the detection module, the processing module, the indication module, the communication module and the user side are connected in sequence.
4. The intelligent distribution network fault diagnosis positioning method of claim 2, wherein the mobile terminal comprises a tablet, a mobile phone and a notebook.
5. The intelligent distribution network fault diagnosis positioning method of claim 1, wherein the step S02 includes the steps of: s021, carrying out simulation analysis on different faults, and outputting a plurality of types of fault samples; s022, performing feature self-learning based on deep learning on different types of fault samples; s023, classifying the fault.
6. The intelligent distribution network fault diagnosis positioning method of claim 1, wherein the step S04 specifically includes: step S041, integrating the trend data, the sequence network data and the dynamic data; s042, forming intermediate data to obtain result data; and S043, performing feature extraction on the result data to obtain key features.
7. The intelligent distribution network fault diagnosis positioning method of claim 1, wherein the ground fault intelligent fast-switching comprehensive background system in the step S05 comprises a panoramic display module, a fault detection module, a comprehensive query module, and an advanced application module.
8. The intelligent distribution network fault diagnosis positioning method of claim 7, wherein the panoramic display module comprises a GIS display unit, a KPI display unit and a fault high-incidence area display unit.
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Cited By (1)
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