CN107526007B - The recognition methods of fault type and device - Google Patents

The recognition methods of fault type and device Download PDF

Info

Publication number
CN107526007B
CN107526007B CN201710693651.7A CN201710693651A CN107526007B CN 107526007 B CN107526007 B CN 107526007B CN 201710693651 A CN201710693651 A CN 201710693651A CN 107526007 B CN107526007 B CN 107526007B
Authority
CN
China
Prior art keywords
value
current
failure
recording
current recording
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710693651.7A
Other languages
Chinese (zh)
Other versions
CN107526007A (en
Inventor
胡勇
吴冬松
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen China Industry Intelligent System Control Co Ltd
Original Assignee
Shenzhen China Industry Intelligent System Control Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen China Industry Intelligent System Control Co Ltd filed Critical Shenzhen China Industry Intelligent System Control Co Ltd
Priority to CN201710693651.7A priority Critical patent/CN107526007B/en
Publication of CN107526007A publication Critical patent/CN107526007A/en
Application granted granted Critical
Publication of CN107526007B publication Critical patent/CN107526007B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Locating Faults (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)

Abstract

The invention belongs to the recognition methods of electric network protection technical field more particularly to fault type and devices, comprising: obtain recorded wave file;Current recording after current recording and failure before failure in recorded wave file occurs occur compares, and generates test value;The electric current typical value after failure occurs in recorded wave file is calculated, the electric current that the electric current typical value is used to react the current recording after failure occurs increases situation;According to the test value and the electric current typical value, the type of the failure is identified, to realize to distribution network failure type automatic identification, improve the speed and accuracy of fault identification, be conducive to improve power distribution network reliability of operation.

Description

The recognition methods of fault type and device
Technical field
The invention belongs to the recognition methods of electric network protection technical field more particularly to fault type and devices.
Background technique
Power distribution network is the critical network realizing electric energy and transporting from power station to huge numbers of families, wherein power distribution network is by one Feeder line composition, multiple switch is dispersed on each feeder line.It is well known that power distribution network is during transmitting electric energy, it is possible Various failures, such as three-phase shortcircuit, two-phase short circuit and ground short circuit etc. can occur, these failures often will cause equipment or feedback The damage of line causes great property loss to society.In order to avoid the equipment damage as caused by feeder fault, currently, people Some wave recording devices are mounted on feeder line, for collect failure occur when circuit data, and be based on these circuit datas Fault type is analyzed, to carry out corresponding maintenance measures.
However it is current, the identification of distribution network failure type can only rely on the experience of engineer, artificial judgment is subjectively carried out, It often will appear identification mistake, and since current distribution network is huger and complicated, traditional recognition methods caused to be deposited In standard disunity, calculate and the slow problem of recognition speed.
Summary of the invention
In view of this, the embodiment of the invention provides the recognition methods of fault type and device, to solve existing failure classes The problem of the identification accuracy difference of type.
The first aspect of the embodiment of the present invention provides a kind of recognition methods of fault type, comprising: obtains recorded wave file; Current recording after current recording and failure before failure in recorded wave file occurs occur compares, and generates test value;Meter The electric current typical value after failure occurs in recorded wave file is calculated, the electric current typical value is used to react the current recording after failure occurs Electric current increase situation;According to the test value and the electric current typical value, the type of the failure is identified.
The second aspect of the embodiment of the present invention provides a kind of identification device of fault type, comprising:
Module is obtained, for obtaining recorded wave file;Contrast module is recorded for the electric current before failure in recorded wave file occurs Current recording after wave and failure occur compares, and generates test value;Computing module is sent out for calculating failure in recorded wave file Electric current typical value after life, the electric current that the electric current typical value is used to react the current recording after failure occurs increase situation;Know Other module, for identifying the type of the failure according to the test value and the electric current typical value.
The third aspect of the embodiment of the present invention provides a kind of identification device of fault type, comprising: memory, processor And store the computer program that can be run in the memory and on the processor, which is characterized in that the processing Device realizes a kind of the step of recognition methods for fault type that first aspect above provides when executing the computer program.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage Media storage has computer program, which is characterized in that the computer program realizes first aspect above when being executed by processor A kind of the step of recognition methods of the fault type provided.
Existing beneficial effect is the embodiment of the present invention compared with prior art: before failure in recorded wave file occurs Current recording and failure occur after current recording compare, generate test value, and in recorded wave file for reacting The calculating that electric current increases the electric current typical value of situation after failure occurs identifies failure in conjunction with test value and electric current typical value Type improves the speed and accuracy of fault identification, is conducive to improve to realize to distribution network failure type automatic identification Power distribution network reliability of operation.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 is the implementation flow chart of the recognition methods of fault type provided in an embodiment of the present invention;
Fig. 2 is the specific implementation flow chart of the recognition methods S102 of fault type provided in an embodiment of the present invention;
Fig. 3 is the specific implementation flow chart of the recognition methods S103 of fault type provided in an embodiment of the present invention;
Fig. 4 is the implementation flow chart of the recognition methods S104 of fault type provided in an embodiment of the present invention;
Fig. 5 is the structural block diagram of the identification device of fault type provided in an embodiment of the present invention;
Fig. 6 is the schematic diagram of the identification device of fault type provided in an embodiment of the present invention.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity The detailed description of road and method, in case unnecessary details interferes description of the invention.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Fig. 1 shows the implementation process of the recognition methods of fault type provided in an embodiment of the present invention, and details are as follows:
In S101, recorded wave file is obtained.
In embodiments of the present invention, it in order to realize the safe operation of power distribution network, needs to carry out the parameters of power distribution network Record, therefore wave recording device is mounted on each feeder line of power distribution network, these wave recording devices are used to record every ginseng of feeder line Duration of disconnection etc. is switched after number, such as electric current, voltage and failure generation.It is to be appreciated that in embodiments of the present invention, it is main To utilize the current data of wave recording device record.
In embodiments of the present invention, failure is store by each recorded wave file that wave recording device records and preceding and failure occurs Current data after generation in preset time period, the current data in these preset time periods, can be used as subsequent identification feeder line The reference frame of fault type.
In S102, the current recording after current recording and failure before failure in recorded wave file occurs occur is carried out pair Than generating test value.
It is to be appreciated that after the failure occurred, current recording can change, and especially after short trouble occurs, electricity The virtual value of stream recording can increase significantly.In embodiments of the present invention, current recording and failure hair before failure being occurred The comparison situation of current recording after life, as a dimension for judging fault type.In particular it is required that calculating an inspection Value, to quantify the difference of the current recording before failure occurs and the current recording after failure generation.
Fig. 2 shows the specific implementation flows of the recognition methods S102 of fault type provided in an embodiment of the present invention, are described in detail It is as follows:
In S201, in the current recording, the moment is occurred as origin using failure, intercepts first to the left and to the right respectively The current recording in preset quantity period, to generate left current recording and right current recording.
Optionally, in embodiments of the present invention, respectively interception failure occur before the preset quantity period current recording with And failure occur after the preset quantity period current recording.Optionally, if preset quantity is 2, it is with the failure generation moment Origin intercepts the current recording in 2 periods, as left current recording and right current recording to the left and to the right respectively.? In subsequent calculating, need that left current recording and right current recording is compared, to generate test value.
In S202, the sampling interval is set, the sampling interval is quotient of the period divided by the second preset quantity.
It is to be appreciated that due to the difference for needing to compare the current recording before failure occurs and the current recording after failure generation It is different, it is necessary to the current recording in recorded wave file be sampled, therefore set a sampling first in embodiments of the present invention Interval.
It is to be appreciated that the abscissa for the current recording being stored in recorded wave file is moment value, and ordinate is instantaneous Current value, in embodiments of the present invention, sampling interval are a time at intervals value.It is to be appreciated that in embodiments of the present invention, Current recording is once sampled every a sampling interval, obtains an instantaneous current value.
Optionally, in embodiments of the present invention, in order in the identical timing position of the different cycles of current recording acquisition wink When current value, therefore by the period of current recording divided by the quotient of the second preset quantity, as the sampling interval.For example, second is default Quantity is 6, period T, then the sampling interval is T/6.
In S203, in the left current recording, since preset first starting point, every a sampling One instantaneous current value of interval acquisition, and the average value of the instantaneous current value apart from one another by number of cycles is calculated, as instantaneous electricity The corresponding left side temporal average of flow valuve.
It is to be appreciated that after needing to compare current recording and failure generation before failure occurs due to the embodiment of the present invention The difference of current recording, it is therefore desirable to as the origin of current recording at the time of failure occurs, at the time of failure occurs simultaneously At the time of being also that significant changes occur for current recording.
In embodiments of the present invention, in left current recording, it is first determined a starting point is instantaneous as first acquisition At the time of current value, an instantaneous current value is just hereafter acquired every a sampling interval.
Optionally, in order to avoid the fluctuation of current recording impacts subsequent calculating, therefore the embodiment of the present invention calculates Apart from one another by the average value of the instantaneous current value of number of cycles, as the corresponding left side temporal average of instantaneous current value.For example, If the first quantity is 2, the current recording in two periods is intercepted before the moment occurs for failure, if the period is T, the first starting point is T1, the corresponding instantaneous current value of the first starting point are X1, then needing to calculate sampling instant is the corresponding instantaneous current value X2 of t1+T Average value with X1 is as a left side temporal average, it is possible to understand that ground, in above-mentioned example, (X2+X1)/2 be can be used as The corresponding left side temporal average of instantaneous current value X1 and X2.
In S204, in the right current recording, since preset second starting point, every a sampling One instantaneous current value of interval acquisition, and the average value of the instantaneous current value apart from one another by number of cycles is calculated, as instantaneous electricity The corresponding right side temporal average of flow valuve, first starting point and second starting point are spaced institute in the current recording Stated for the first preset quantity period.
It is to be appreciated that the method for sampling for right current recording and calculating the method and above of right side temporal average In for left current recording the method for sampling with calculate left side the method for temporal average it is identical.
Notably, in order to guarantee to have comparison in the instantaneous current value of right current recording and the acquisition of left current recording Meaning, it is thus necessary to determine that the first starting point and the second starting point were spaced for the first preset quantity period in current recording.Such as First preset quantity is 2, and the period is 2 π, and the first starting point is -7 pi/2s, then the second starting point should be pi/2.
In S205, by be spaced the first preset quantity period the corresponding left side temporal average of instantaneous current value and Right side temporal average forms an observation group, and it is instantaneously average to calculate right side temporal average and the left side in each observation group The ratio of value, the reduced value as each observation group.
In embodiments of the present invention, a temporal average will be corresponded to by each instantaneous current value as described above.For example, if Period is T, and the first preset quantity is 2, and the corresponding temporal average of instantaneous current value X1 is (X1+X2)/2, if instantaneous current value The sampling instant of Y1 and the sampling instant interval 2T of instantaneous current value X1, and the corresponding temporal average of Y1 is (Y1+Y2)/2, then (X1+X2)/2 and (Y1+Y2)/2 is used as an observation group, and by the ratio of (Y1+Y2)/2 and (X1+X2)/2, as this The reduced value of observation group.
It is to be appreciated that the collected instantaneous current value of each in left current recording, can find respective correspondence Right current recording in instantaneous current value, therefore an observation group can be corresponded to, and the reduced value of calculating observation group.
In S206, the average value of the virtual value in each period and right current record in the left current recording are calculated The average value of the virtual value in each period in wave, and by the average value of the virtual value in period each in left current recording and right side The ratio of the average value of the virtual value in each period in current recording, the reduced value as virtual value.
In embodiments of the present invention, in order to guarantee subsequent survey value calculate accuracy, it is also necessary to calculate separately left side electricity Flow the average value of the virtual value of recording and right current recording.Notably, the embodiment of the present invention is not that direct calculating is left The virtual value of side current recording and right current recording entirety, but left current recording and right current record are calculated first The virtual value in each period of wave, then calculate the average value of left current recording virtual value and putting down for right current recording virtual value Mean value.
In S207, the average value of all reduced values of the reduced value and virtual value of the observation group is calculated, as The test value.
It is to be appreciated that as described above, having calculated reduced value and right current recording and the left side of each observation group The reduced value of the virtual value of side current recording, therefore the average value of these reduced values can be calculated, as test value.For example, The reduced value of each observation group is respectively K1, K2, K3, K4, K5, K6, and the reduced value of virtual value is K7, then test value K=(K1 +K2+K3+K4+K5+K6+K7)/7。
In S103, the electric current typical value after failure occurs in recorded wave file is calculated, the electric current typical value is for reacting The electric current of current recording after failure generation increases situation.
In embodiments of the present invention, it in addition to needing the current recording for failure occurring front and back to be compared, is examined with generating Other than value, it is also necessary to which the current recording after failure occurs is analyzed, by calculating an electric current typical value, to quantify electricity Flow the increase situation of recording electric current after the failure occurred.
It is alternatively possible to by the virtual value in calculating current recording after the failure occurred a cycle, as recording text The electric current typical value of part after the failure occurred.
It is alternatively possible to by the root mean square of several instantaneous current values in preset time after calculating failure generation, as record The electric current typical value of wave file after the failure occurred.
Specifically, after acquisition failure occurs, the maximum and minimum of three-phase current recording in preset time generate extreme value Set.
It is to be appreciated that a current recording will appear maximum (wave crest) and minimum (wave in a preset time Paddy), maximum and minimum are able to reflect the secondary value situation of current recording, in embodiments of the present invention, after failure is occurred in advance If the whole maximum and minimum in the time are combined into an extreme value set.
The root mean square for calculating the element of third preset quantity maximum absolute value in the extreme value set, as the electric current Typical value.
In S104, according to the test value and the electric current typical value, the type of the failure is identified.
It is alternatively possible to calculate test value and the electric current representative of each current wave according to the method described above Value, and the above method is applied in the fault identification to three-phase alternating current.It is to be appreciated that three-phase alternating current is by three frequencies Rate is identical, amplitude is equal and the alternating current of phase difference mutual deviation hexagonal angle composition.
Fig. 3 shows the specific implementation flow of the recognition methods S104 of fault type provided in an embodiment of the present invention, is described in detail It is as follows:
In S301, by the maximum value of the corresponding electric current typical value of each current recording of three-phase alternating current and preset First threshold be compared.
In S302, if the maximum value of the electric current typical value is greater than the first threshold, the three-phase alternating current is identified There is ground short circuit in electricity.
Fig. 4 shows another specific implementation stream of the recognition methods S104 of fault type provided in an embodiment of the present invention Journey, details are as follows:
In S401, by each test value of three-phase current recording be compared respectively with preset second threshold with And the corresponding electric current typical value of three-phase current recording is compared with preset first threshold.
It is to be appreciated that the failure of the three-phase alternating current due to identification of the embodiment of the present invention, each mutually one corresponding 3 test values are compared with preset second threshold, to identify failure classes by test value respectively in embodiments of the present invention Type.
In S402, three test values are all larger than the second threshold if it exists, and the electric current typical value is little In the first threshold, then three-phase phase fault is identified.
In S403, if only there are two the test values to be greater than the second threshold, and the electric current typical value is greater than institute First threshold is stated, then identifies two-phase grounding fault.
In S404, if only there are two the test values to be greater than the second threshold, and the electric current typical value is not more than The first threshold then identifies two-phase phase fault.
Corresponding to the recognition methods of fault type described above, Fig. 5 shows failure classes provided in an embodiment of the present invention The structural block diagram of the identification device of type, details are as follows:
Referring to Fig. 5, which includes:
Module 501 is obtained, for obtaining recorded wave file;
Contrast module 502 is recorded for the current recording before failure in recorded wave file occurs and the electric current after failure generation Wave compares, and generates test value;
Computing module 503, for calculating the electric current typical value in recorded wave file after failure generation, the electric current typical value is used The electric current of current recording after reaction failure occurs increases situation;
Identification module 504, for identifying the type of the failure according to the test value and the electric current typical value.
Further, contrast module includes:
Submodule is intercepted, for the moment occurring as origin using failure, cuts to the left and to the right respectively in the current recording The current recording in the first preset quantity period is taken, to generate left current recording and right current recording;
Submodule is set, for setting the sampling interval, the sampling interval is the period divided by the second preset quantity Quotient;
First computational submodule is used in the left current recording, since preset first starting point, Mei Geyi A sampling interval acquires an instantaneous current value, and calculates the average value of the instantaneous current value apart from one another by number of cycles, As the corresponding left side temporal average of instantaneous current value;
Second computational submodule is used in the right current recording, since preset second starting point, Mei Geyi A sampling interval acquires an instantaneous current value, and calculates the average value of the instantaneous current value apart from one another by number of cycles, As the corresponding right side temporal average of instantaneous current value, first starting point and second starting point are recorded in the electric current The first preset quantity period is spaced in wave;
Third submodule, the corresponding left side of instantaneous current value for that will be spaced for the first preset quantity period are instantaneously average Value and right side temporal average form an observation group, calculate right side temporal average and the left side wink in each observation group When average value ratio, the reduced value as each observation group;
4th submodule, for calculating the average value of the virtual value in each period and right side in the left current recording The average value of the virtual value in each period in current recording, and by the average value of the virtual value in period each in left current recording With the ratio of the average value of the virtual value in period each in right current recording, reduced value as virtual value;
5th submodule, for calculating being averaged for whole reduced values of the reduced value and virtual value of the observation groups Value, as the test value.
Further, computing module includes:
Submodule is acquired, after acquiring failure generation, the maximum and minimum of three-phase current recording in preset time, Generate extreme value set;
Typical value computational submodule, for calculating the element of third preset quantity maximum absolute value in the extreme value set Root mean square, as the electric current typical value.
Further, the identification module, is specifically used for:
Each test value of three-phase current recording is compared with preset second threshold respectively and by three-phase The corresponding electric current typical value of current recording is compared with preset first threshold;
Three test values are all larger than the second threshold if it exists, and the electric current typical value is not more than described first Threshold value then identifies three-phase phase fault;
If only there are two the test values to be greater than the second threshold, and the electric current typical value is greater than first threshold Value, then identify two-phase grounding fault;
If only there are two the test values to be greater than the second threshold, and the electric current typical value is not more than first threshold Value, then identify two-phase phase fault.
Fig. 6 is the schematic diagram of the identification device for the fault type that one embodiment of the invention provides.As shown in fig. 6, the implementation The identification device of the fault type of example includes: processor 60, memory 61 and is stored in the memory 61 and can be in institute State the computer program 62 run on processor 60, such as the recognizer of fault type.The processor 60 executes the meter The step in the recognition methods embodiment of above-mentioned each fault type, such as step shown in FIG. 1 are realized when calculation machine program 62 S101 to S104.Alternatively, the processor 60 realizes each mould in above-mentioned each Installation practice when executing the computer program 62 Block/unit function, such as the function of module 501 to 504 shown in Fig. 4.
Illustratively, the computer program 62 can be divided into one or more module/units, it is one or Multiple module/units are stored in the memory 61, and are executed by the processor 60, to complete the present invention.Described one A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for Implementation procedure of the computer program 62 in the identification device 6 of the fault type is described.
The identification device 6 of the fault type can be desktop PC, notebook, palm PC and cloud server Deng calculating equipment.Identification device/device of the fault type may include, but be not limited only to, processor 60, memory 61.This Field technical staff is appreciated that Fig. 6 is only the example of the identification device 6 of fault type, does not constitute to fault type The restriction of identification device 6 may include perhaps combining certain components or different portions than illustrating more or fewer components Part, such as the identification device of the fault type can also include input-output equipment, network access equipment, bus etc..
Alleged processor 60 can be central processing unit (Central Processing Unit, CPU), can also be Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor Deng.
The memory 61 can be the internal storage unit of the identification device of the fault type, such as fault type The hard disk or memory of identification device 6.The memory 61 is also possible to the outside of identification device/device 6 of the fault type The plug-in type hard disk being equipped in storage equipment, such as identification device/device 6 of the fault type, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Further, The memory 61 can also both including the fault type identification device/device 6 internal storage unit and also including outside Store equipment.The memory 61 is used to store identification device/device institute of the computer program and the fault type Other programs and data needed.The memory 61 can be also used for temporarily storing the number that has exported or will export According to.It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function list The division progress of member, module for example, in practical application, can according to need and by above-mentioned function distribution by different functions Unit, module are completed, i.e., the internal structure of described device are divided into different functional unit or module, to complete above description All or part of function.Each functional unit in embodiment, module can integrate in one processing unit, be also possible to Each unit physically exists alone, and can also be integrated in one unit with two or more units, above-mentioned integrated unit Both it can take the form of hardware realization, can also realize in the form of software functional units.In addition, each functional unit, mould The specific name of block is also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.It is single in above system Member, the specific work process of module, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/device and method can pass through Other modes are realized.For example, device/Installation practice described above is only schematical, for example, the module or The division of unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units Or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, institute Display or the mutual coupling or direct-coupling or communication connection discussed can be through some interfaces, device or unit INDIRECT COUPLING or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program Code can be source code form, object identification code form, executable file or certain intermediate forms etc..Computer-readable Jie Matter may include: can carry the computer program code any entity or device, recording medium, USB flash disk, mobile hard disk, Magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice Subtract, such as does not include electric carrier signal and electricity according to legislation and patent practice, computer-readable medium in certain jurisdictions Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations;Although referring to aforementioned reality Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features;And these are modified Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all It is included within protection scope of the present invention.

Claims (8)

1. a kind of recognition methods of fault type characterized by comprising
Obtain recorded wave file;
Current recording after current recording and failure before failure in recorded wave file occurs occur compares, and generates and examines Value, the test value are used to quantify the difference for the current recording that front and back occurs for failure;
The electric current typical value after failure occurs in recorded wave file is calculated, the electric current typical value is used to react the electricity after failure occurs The electric current for flowing recording increases situation;
According to the test value and the electric current typical value, the type of the failure is identified;
Current recording after the current recording and failure to before failure generation in recorded wave file occurs compares, and generates inspection Test value, comprising:
In the current recording, the moment is occurred as origin using failure, intercepts the first preset quantity week to the left and to the right respectively The current recording of phase, to generate left current recording and right current recording;
The sampling interval is set, the sampling interval is quotient of the period divided by the second preset quantity;
In the left current recording, since preset first starting point, one is acquired every a sampling interval Instantaneous current value, and the average value of the instantaneous current value apart from one another by number of cycles is calculated, as the corresponding left side of instantaneous current value Side temporal average;
In the right current recording, since preset second starting point, one is acquired every a sampling interval Instantaneous current value, and the average value of the instantaneous current value apart from one another by number of cycles is calculated, as the corresponding right side of instantaneous current value Side temporal average, first starting point and second starting point are spaced first present count in the current recording Measure a period;
The corresponding left side temporal average of instantaneous current value and right side that were spaced for the first preset quantity period is instantaneously average Value one observation group of composition, calculates the ratio of right side temporal average and the left side temporal average in each observation group, makees For the reduced value of each observation group;
Calculate in the left current recording each period in the average value of the virtual value in each period and right current recording Virtual value average value, and will be each in the average value of the virtual value in period each in left current recording and right current recording The ratio of the average value of the virtual value in a period, the reduced value as virtual value;
The average value for calculating all reduced values of the reduced value and virtual value of the observation group, as the test value.
2. the recognition methods of fault type as described in claim 1, which is characterized in that failure is sent out in the calculating recorded wave file Electric current typical value after life, comprising:
After acquiring failure generation, the maximum and minimum of three-phase current recording in preset time generate extreme value set;
The root mean square for calculating the element of third preset quantity maximum absolute value in the extreme value set is represented as the electric current Value.
3. the recognition methods of fault type as described in claim 1, which is characterized in that described according to the test value and institute Electric current typical value is stated, identifies the type of the failure, comprising:
The corresponding electric current typical value of three-phase current recording is compared with preset first threshold;
If the electric current typical value is greater than the first threshold, ground short circuit failure is identified.
4. the recognition methods of fault type as described in claim 1, which is characterized in that described according to the test value and institute Electric current typical value is stated, identifies the type of the failure, further includes:
Each test value of three-phase current recording is compared with preset second threshold respectively and by three-phase current The corresponding electric current typical value of recording is compared with preset first threshold;
Three test values are all larger than the second threshold if it exists, and the electric current typical value is not more than first threshold Value, then identify three-phase phase fault;
If only there are two the test values to be greater than the second threshold, and the electric current typical value is greater than the first threshold, then Identify two-phase grounding fault;
If only there are two the test values to be greater than the second threshold, and the electric current typical value is not more than the first threshold, Then identify two-phase phase fault.
5. a kind of identification device of fault type characterized by comprising
Module is obtained, for obtaining recorded wave file;
Contrast module, for before failure in recorded wave file occurs current recording and failure occur after current recording carry out pair Than generating test value, the test value is used to quantify the difference for the current recording that front and back occurs for failure;
Computing module, for calculating the electric current typical value in recorded wave file after failure generation, the electric current typical value is for reacting The electric current of current recording after failure generation increases situation;
Identification module, for identifying the type of the failure according to the test value and the electric current typical value;
The contrast module includes:
Submodule is intercepted, in the current recording, the moment is occurred as origin using failure, intercepts the to the left and to the right respectively The current recording in one preset quantity period, to generate left current recording and right current recording;
Submodule is set, for setting the sampling interval, the sampling interval is quotient of the period divided by the second preset quantity;
First computational submodule is used in the left current recording, since preset first starting point, every an institute One instantaneous current value of sampling interval acquisition is stated, and calculates the average value of the instantaneous current value apart from one another by number of cycles, as The corresponding left side temporal average of instantaneous current value;
Second computational submodule is used in the right current recording, since preset second starting point, every an institute One instantaneous current value of sampling interval acquisition is stated, and calculates the average value of the instantaneous current value apart from one another by number of cycles, as The corresponding right side temporal average of instantaneous current value, first starting point and second starting point are in the current recording It is spaced the first preset quantity period;
Third submodule, the corresponding left side temporal average of instantaneous current value for that will be spaced for the first preset quantity period with And right side temporal average forms an observation group, calculates right side temporal average in each observation group and instantaneously puts down with the left side The ratio of mean value, the reduced value as each observation group;
4th submodule, for calculating the average value and right current of the virtual value in each period in the left current recording The average value of the virtual value in each period in recording, and by the average value of the virtual value in period each in left current recording and right The ratio of the average value of the virtual value in each period in the current recording of side, the reduced value as virtual value;
5th submodule is made for calculating the average value of all reduced values of the reduced value and virtual value of the observation group For the test value.
6. the identification device of fault type as claimed in claim 5, which is characterized in that the computing module includes:
Submodule is acquired, after acquiring failure generation, the maximum and minimum of three-phase current recording in preset time are generated Extreme value set;
Typical value computational submodule, for calculating the equal of the element of third preset quantity maximum absolute value in the extreme value set Root, as the electric current typical value.
7. a kind of identification device of fault type, including memory, processor and storage are in the memory and can be in institute State the computer program run on processor, which is characterized in that the processor is realized when executing the computer program as weighed Benefit requires the step of any one of 1 to 4 the method.
8. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists In when the computer program is executed by processor the step of any one of such as Claims 1-4 of realization the method.
CN201710693651.7A 2017-08-14 2017-08-14 The recognition methods of fault type and device Active CN107526007B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710693651.7A CN107526007B (en) 2017-08-14 2017-08-14 The recognition methods of fault type and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710693651.7A CN107526007B (en) 2017-08-14 2017-08-14 The recognition methods of fault type and device

Publications (2)

Publication Number Publication Date
CN107526007A CN107526007A (en) 2017-12-29
CN107526007B true CN107526007B (en) 2019-09-13

Family

ID=60681152

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710693651.7A Active CN107526007B (en) 2017-08-14 2017-08-14 The recognition methods of fault type and device

Country Status (1)

Country Link
CN (1) CN107526007B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107957528B (en) * 2018-01-19 2020-08-18 上海岩芯电子科技有限公司 Photovoltaic system ground fault detection method
CN108469573A (en) * 2018-03-21 2018-08-31 国网河南省电力公司漯河供电公司 A kind of method that small current neutral grounding system utilizes error component phase selection
CN108490310A (en) * 2018-03-21 2018-09-04 国网河南省电力公司漯河供电公司 Method for small electric current grounding system of distribution network earth fault line selection
CN110160778A (en) * 2019-05-24 2019-08-23 武汉工程大学 Gearbox fault state identification method based on sequential hypothesis testing
CN111751665A (en) * 2020-06-29 2020-10-09 深圳供电局有限公司 Method and system for judging phase-to-phase fault based on power grid fault recording graph
CN113900427A (en) * 2021-10-19 2022-01-07 中国南方电网有限责任公司超高压输电公司贵阳局 Method for rapidly positioning fault of converter valve control system

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104237827A (en) * 2014-09-13 2014-12-24 安徽鑫龙电器股份有限公司 Electric power meter fault recording method
CN104280644B (en) * 2014-10-24 2017-02-22 国家电网公司 Direct-current transmission project typical transient fault recognizing method
CN105510819B (en) * 2016-01-04 2017-05-17 江苏省电力公司电力科学研究院 Breaker health status assessment system and method based on fault recording analysis
CN106124936B (en) * 2016-07-29 2018-09-28 国电南瑞科技股份有限公司 A kind of Distributed power net method for locating single-phase ground fault
CN106771870A (en) * 2016-12-26 2017-05-31 北京国电通网络技术有限公司 A kind of distribution net work earthing fault localization method and system

Also Published As

Publication number Publication date
CN107526007A (en) 2017-12-29

Similar Documents

Publication Publication Date Title
CN107526007B (en) The recognition methods of fault type and device
CN106709651B (en) Electric power system security evaluation system based on risk theory
CN105548744A (en) Substation equipment fault identification method based on operation-detection large data and system thereof
CN103440726A (en) Electrical fire warning information processing method and system
Gorton et al. A high-performance hybrid computing approach to massive contingency analysis in the power grid
CN103124936A (en) Profiling of composite physical devices for monitoring/control systems
CN107370114B (en) The setting method and device of current quick definite value
US12039045B2 (en) Event analysis in an electric power system
CN109472231A (en) Transformer substation harmonic source positioning method and device and computer readable storage medium
CN112596018B (en) High-frequency signal-based power consumer relative position identification device, method and equipment
CN108710086A (en) A kind of the DC internal resistance detection device and its method of rechargeable battery
CN103529337B (en) The recognition methods of nonlinear correlation relation between equipment failure and electric quantity information
CN109859069B (en) Energy consumption alarm management method and device for generator set
CN105259896A (en) Fault diagnosis method based on power scheduling data network
CN111178754A (en) Energy system real-time early warning method and device
Wang Techniques for high performance analysis of transient stability
CN103558819A (en) Slicing machine fault diagnosis system
CN109818808A (en) Method for diagnosing faults, device and electronic equipment
CN109490622B (en) Electric quantity data verification technology based on tri-state information
CN112131852A (en) Converter station fault report automatic generation method and device, electronic equipment and storage medium
CN108982954B (en) Method and system for calculating phase voltage amplitude and phase suitable for feeder line terminal
CN115687406A (en) Sampling method, device and equipment of call chain data and storage medium
CN112203315B (en) Iron tower base station abnormity detection method and equipment
CN115372752A (en) Fault detection method, device, electronic equipment and storage medium
CN108197179A (en) Facility information querying method and terminal device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant