CN109541396A - A kind of effective recorder data extracting method of fault detector - Google Patents
A kind of effective recorder data extracting method of fault detector Download PDFInfo
- Publication number
- CN109541396A CN109541396A CN201811426868.2A CN201811426868A CN109541396A CN 109541396 A CN109541396 A CN 109541396A CN 201811426868 A CN201811426868 A CN 201811426868A CN 109541396 A CN109541396 A CN 109541396A
- Authority
- CN
- China
- Prior art keywords
- recorder data
- data
- recorder
- fault detector
- effective
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Abstract
The invention discloses a kind of effective recorder data extracting methods of fault detector, specifically includes the following steps: step 1: obtaining recorder data all in the Δ t time, form recorder data collection U;Step 2: in recorder data collection U, remembering that the recorder data on identical bus is one group of recorder data S;Step 3: judging the quantity of recorder data in S for k, k is greater than threshold value M, it is believed that the recorder data in S is valid data, otherwise enters step 4;Step 4: obtaining the zero-sequence current energy of each recorder data in S, maximum current energy WmaxGreater than energy threshold WY, it is believed that the recorder data in S is valid data, otherwise, all invalid datas of recorder data in S.The present invention can clear up the invalid data in the recorder data uploaded immediately;Magnanimity recorder data existing in database can be screened, provide accurately and effectively data supporting with failure inverting for the studying and judging offline with net state based on fault recorder data.
Description
Technical field
The invention belongs to distribution network failure detection field, specially a kind of effective recorder data extraction side of fault detector
Method.
Background technique
Transient state recording type fault detector is widely used in distribution line, is the key equipment for constituting power distribution automation.It is existing
Have transient state recording type fault detector mostly use electric current (electric field) Sudden Changing Rate start, meanwhile, for improve detection it is sensitive, setting compared with
Low protection definite value.This is conducive to record transient fault, but site environment complexity complicated and changeable, electromagnetic distu easily cause failure to refer to
Show device error starting, causes to contain a large amount of invalid data in recorder data.On January 1st, 2018 to May 31, certain electric power saving are public
Department's big data platform receives fault detector altogether and is grounded alarm signal 5151, and verified false positive signal 2428, rate of false alarm reaches
To 47.13%.Therefore, recorder data is cleaned, obtains effective fault recorder data, to raising current power distribution net state
Monitoring and failure study and judge level and are of great significance.
What one side electromagnetic distu influenced is limited in scope, and fault detector caused by disturbing accidentally starts and generally only relates to minority
Fault detector, and failure will lead to multiple fault detectors on same bus while start;On the other hand, by record
The analysis of wave number evidence finds that invalid data energy caused by disturbing is generally lower, and valid data energy caused by failure is general
It is higher, and the anti-interference of current sensor is stronger relative to electric-field sensor, the confidence level of current energy is higher.Therefore, may be used
According to the time space distribution and current energy feature that therefore can start according to fault detector recording, significant figure therein is identified
According to.
Summary of the invention
In face of current technological development status, the present invention proposes a kind of effective recorder data extracting method of fault detector, leads to
The time space distribution and current energy feature for crossing the starting of fault detector recording clear up invalid data therein, obtain effective
Fault data.When big data platform has detected recorder data upload, the failure for detecting same period upload recorder data refers to
Show the place on line where device, and according to the size of current energy in recorder data, judges whether it is valid data.
The time space distribution and zero-sequence current energy feature that the present invention starts according to fault detector recording, extract recording
Effective fault data in data;It is characterized by: specifically includes the following steps:
Step 1: when main website has detected recorder data upload, starting timing, obtain the record of upload all in the Δ t time
Wave number evidence forms recorder data collection U;
Step 2: according to distribution network dynamic topology, in recorder data collection U, remembering the fault detector record on identical bus
Wave number evidence is one group of recorder data S;
Step 3: judging the quantity of recorder data in S for k, whether k is greater than amount threshold M, if more than M, it is believed that the record in S
Otherwise wave number enters step 4 according to being valid data;
Step 4: obtaining the zero-sequence current energy of each recorder data in S, judge maximum current energy WmaxWhether energy is greater than
Measure threshold value WY, if more than WY, it is believed that the recorder data in S is valid data, otherwise, all invalid numbers of recorder data in S
According to;
Whole valid data in step 3 and step 4 are effective recorder data of the fault detector.
The setting method of Δ t in step 1 are as follows: the markers of effective recorder data group is counted, taking Δ t is with primary event
Barrier occur when, by be mounted on different location fault detector upload recorder data when target largest interval;To GPS pairs of outfit
When fault detector, be subject to the time tag of recorder data;To the fault detector for being not equipped with GPS clock synchronization, received with main website
To subject to the time of data.
The setting method of amount threshold M in step 3 are as follows: the recording quantity of effective recorder data group is counted, takes the M to be
The 10%-30% of fault detector sum is installed on current bus.
The calculation method of the current energy of recorder data in step 4 are as follows:
There is k recorder data in S, then the current energy of i-th of recorder data are as follows:
In formula, ii(t) indicate that the zero-sequence current in i-th of recorder data, T are a period;
Maximum current energy WmaxFor whereinThe maximum recorder data of fault energy is correspondingCurrent energy, it may be assumed that
Wmax=max (W1,W2,…,Wk)。
Threshold value W in step 4YSetting method are as follows: the current energy of mass efficient data group and invalid data group is carried out
Comparison, takes WYFor the minimum value of current energy in all valid data groups.
The invention has the benefit that
The present invention proposes a kind of effective recorder data extracting method of fault detector, main to be to solve current failure instruction
Anti-interference existing for device is poor, easily accidentally starts, uploads the problem of a large amount of invalid datas.Its meaning is very great: on the one hand can
Immediately effective fault data in the recorder data uploaded is extracted, main website is reduced and invalid data is studied and judged, prevent from accounting for
With calculating space;On the other hand, the method for the invention can also screen magnanimity recorder data existing in database, be
Studying and judging offline with net state based on fault recorder data provides accurately and effectively data supporting with failure inverting.
Detailed description of the invention
Fig. 1 is that the effective recorder data of fault detector extracts flow chart;
Fig. 2 is typical distribution cable road topological diagram;
Fig. 3 is a kind of typical effective recorder data;
Fig. 4 is a kind of typical invalid recorder data.
Specific embodiment
Invention is further described in detail with embodiment with reference to the accompanying drawing, but it is above-mentioned to should not be construed the present invention
Subject area is only limitted to following embodiments.Without departing from the idea case in the present invention described above, according to the common skill in this field
Art knowledge and customary means make various replacements and change, should all include within the scope of the present invention.
A kind of effective recorder data extracting method of fault detector, identification process is as shown in Figure 1, include the following steps:
Step 1: when main website has detected recorder data upload, start timing, obtains the recorder data of upload all in the Δ t time,
Form recorder data collection U;Step 2: the event on identical bus is remembered in recorder data collection U according to distribution network dynamic topology
Barrier indicator recorder data is one group of recorder data S;Step 3: judging the quantity of recorder data in S for k, whether k is greater than quantity
Threshold value M, if more than M, it is believed that the recorder data in S is valid data, otherwise enters step 4;Step 4: obtaining each recording in S
The zero-sequence current energy of data judges maximum current energy WmaxWhether energy threshold W is greater thanY, if more than WY, it is believed that the record in S
Wave number evidence is valid data, otherwise, all invalid datas of recorder data in S;Whole significant figures in step 3 and step 4
According to effective recorder data for the fault detector.
The setting method of Δ t in step 1 are as follows: the markers of effective recorder data group is counted, taking Δ t is with primary event
Barrier occur when, by be mounted on different location fault detector upload recorder data when target largest interval;To GPS pairs of outfit
When fault detector, be subject to the time tag of recorder data;To the fault detector for being not equipped with GPS clock synchronization, received with main website
To subject to the time of data.There may be errors for existing fault detector recorder data time service, therefore allow to be installed in different positions
Setting the recording time tag that fault detector uploads, there are certain time intervals.Existing analysis with fault wave recorder is found,
For same primary fault, the time tag of the fault data for the recorder data that the fault detector of different location uploads at most is differed
5s, therefore desirable Δ t is 5s.
The setting method of amount threshold M in step 3 are as follows: the recording quantity of effective recorder data group is counted, takes the M to be
The 10%-30% of fault detector sum is installed on current bus.
The calculation method of the current energy of recorder data in step 4 are as follows:
There is k recorder data in S, then the current energy of i-th of recorder data are as follows:
In formula, ii(t) indicate that the zero-sequence current in i-th of recorder data, T are a period;
Maximum current energy WmaxFor whereinThe maximum recorder data of fault energy is correspondingCurrent energy, it may be assumed that
Wmax=max (W1,W2,…,Wk)。
Threshold value W in step 4YSetting method are as follows: the current energy of mass efficient data group and invalid data group is carried out
Comparison, takes WYFor the minimum value of current energy in all valid data groups.
The setting method that fault detector described in abovementioned steps 3 starts amount threshold M is as follows:
Totally 17 shaft towers install fault detector to the outlet of bus 6 of 2 sections of certain substation, and line construction is as shown in Fig. 2, wherein
I sections of bus are installed with 8 fault detectors, and II sections of bus are installed with 9 fault detectors.Recorder data in 2016 is carried out
Statistics (partial fault occurs during bus parallel running), the results are shown in Table 1.As it can be seen that it is big to work as recording starting quantity in 5s
When being greater than 4, recorder data is valid data, therefore desirable M is 4.
Certain substation of table 1 fault recorder data in 2016
Described in abovementioned steps 4, the calculation formula of current energy is as follows:
In formula, ik(t) indicate that the zero-sequence current in k-th of recorder data, T are a period (0.02s), then this group of data
Zero-sequence current energy is the wherein corresponding zero-sequence current energy of the maximum recorder data of zero-sequence current energy.Fig. 3, Fig. 4 institute
Show the recording figure of respectively a kind of valid data and invalid data, it is seen that the zero-sequence current energy of valid data is much larger than invalid number
According to.
The setting method of current energy threshold value W described in abovementioned steps 4 is as follows:
To 16 groups of recorder datas (fault datas, disturbance for thering are 4 fault detector recordings to start in 5s in above-mentioned substation
Each 8 groups of data) current energy counted, fault data and noisy data are as shown in table 2, wherein recorded wave file title lattice
Formula is " (route name) (shaft tower number) (recording date) (recording time) ".As it can be seen that the current energy of fault data is all larger than
1A2The current energy of s, noisy data are respectively less than 1A2·s.Therefore, can use W is 1A2·s。
The statistics of 2 recorder data current energy of table
Although above-mentioned be described and verify to a specific embodiment of the invention and validity in conjunction with attached drawing, not
Limiting the scope of the invention, those skilled in the art should understand that, based on the technical solutions of the present invention, this
Field technical staff does not need to make the creative labor the various modifications or changes that can be made still in protection scope of the present invention
Within.
Claims (5)
1. a kind of effective recorder data extracting method of fault detector, it is characterised in that: according to the starting of fault detector recording
Time space distribution and zero-sequence current energy feature extract the effective fault data in recorder data;Specifically include following step
It is rapid:
Step 1: when main website has detected recorder data upload, starting timing, obtain the recording number of upload all in the Δ t time
According to formation recorder data collection U;
Step 2: according to distribution network dynamic topology, in recorder data collection U, remembering the fault detector recording number on identical bus
According to for one group of recorder data S;
Step 3: judging the quantity of recorder data in S for k, whether k is greater than amount threshold M, if more than M, it is believed that the recording number in S
According to for valid data, 4 are otherwise entered step;
Step 4: obtaining the zero-sequence current energy of each recorder data in S, judge maximum current energy WmaxWhether energy cut-off is greater than
Value WY, if more than WY, it is believed that the recorder data in S is valid data, otherwise, all invalid datas of recorder data in S;
Whole valid data in step 3 and step 4 are effective recorder data of the fault detector.
2. the effective recorder data extracting method of fault detector as described in claim 1, it is characterised in that: Δ t in step 1
Setting method are as follows: the markers of effective recorder data group is counted, taking Δ t is when occurring with primary fault, by being mounted on not
With position fault detector upload recorder data when target largest interval;To the fault detector for being equipped with GPS clock synchronization, with record
Subject to the time tag of wave number evidence;To the fault detector for being not equipped with GPS clock synchronization, being subject to main website receives time of data.
3. the effective recorder data extracting method of fault detector as described in claim 1, it is characterised in that: quantity in step 3
The setting method of threshold value M are as follows: the recording quantity of effective recorder data group is counted, taking M is to install failure on current bus
The 10%-30% of indicator sum.
4. the effective recorder data extracting method of fault detector as described in claim 1, it is characterised in that: the record in step 4
The calculation method of the current energy of wave number evidence are as follows:
There is k recorder data in S, then the current energy of i-th of recorder data are as follows:
In formula, ii(t) indicate that the zero-sequence current in i-th of recorder data, T are a period;
Maximum current energy WmaxFor the corresponding current energy of the maximum recorder data of wherein fault energy, it may be assumed that
Wmax=max (W1,W2,…,Wk)。
5. a kind of effective recorder data extracting method of fault detector as described in claim 1, it is characterised in that: in step 4
Threshold value WYSetting method are as follows: the current energy of mass efficient data group and invalid data group is compared, W is takenYHave to be all
Imitate the minimum value of current energy in data group.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811426868.2A CN109541396B (en) | 2018-11-27 | 2018-11-27 | Method for extracting effective recording data of fault indicator |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811426868.2A CN109541396B (en) | 2018-11-27 | 2018-11-27 | Method for extracting effective recording data of fault indicator |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109541396A true CN109541396A (en) | 2019-03-29 |
CN109541396B CN109541396B (en) | 2021-04-27 |
Family
ID=65850438
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811426868.2A Active CN109541396B (en) | 2018-11-27 | 2018-11-27 | Method for extracting effective recording data of fault indicator |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109541396B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110068774A (en) * | 2019-05-06 | 2019-07-30 | 清华四川能源互联网研究院 | Estimation method, device and the storage medium of lithium battery health status |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7061858B1 (en) * | 2000-08-23 | 2006-06-13 | Cisco Technology, Inc. | High availability architecture for network devices |
CN101699704A (en) * | 2009-11-09 | 2010-04-28 | 广东电网公司广州供电局 | Fault recorder data processing method and fault recorder data processing device |
CN101799504A (en) * | 2010-04-20 | 2010-08-11 | 天津市电力公司 | Method for testing influence of distortion data on relay protection device |
CN103501047A (en) * | 2013-10-09 | 2014-01-08 | 云南电力调度控制中心 | Intelligent fault wave recording main station information management system |
CN104617566A (en) * | 2015-01-23 | 2015-05-13 | 昆明理工大学 | Method for starting single-phase fault of small current grounding system based on total zero-sequence voltage positive and negative areas |
CN106208368A (en) * | 2016-07-07 | 2016-12-07 | 广东电网有限责任公司电力调度控制中心 | A kind of Transformer Faults Analysis system and method based on dispatching comprehensive data platform |
CN106556754A (en) * | 2016-10-12 | 2017-04-05 | 国网上海市电力公司 | A kind of online acquisition method of distribution line failure waveform |
CN108333477A (en) * | 2018-02-11 | 2018-07-27 | 国网宁夏电力有限公司 | Photovoltaic access electrical power distribution network fault location method based on synchronized timestamp and device |
-
2018
- 2018-11-27 CN CN201811426868.2A patent/CN109541396B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7061858B1 (en) * | 2000-08-23 | 2006-06-13 | Cisco Technology, Inc. | High availability architecture for network devices |
CN101699704A (en) * | 2009-11-09 | 2010-04-28 | 广东电网公司广州供电局 | Fault recorder data processing method and fault recorder data processing device |
CN101799504A (en) * | 2010-04-20 | 2010-08-11 | 天津市电力公司 | Method for testing influence of distortion data on relay protection device |
CN103501047A (en) * | 2013-10-09 | 2014-01-08 | 云南电力调度控制中心 | Intelligent fault wave recording main station information management system |
CN104617566A (en) * | 2015-01-23 | 2015-05-13 | 昆明理工大学 | Method for starting single-phase fault of small current grounding system based on total zero-sequence voltage positive and negative areas |
CN106208368A (en) * | 2016-07-07 | 2016-12-07 | 广东电网有限责任公司电力调度控制中心 | A kind of Transformer Faults Analysis system and method based on dispatching comprehensive data platform |
CN106556754A (en) * | 2016-10-12 | 2017-04-05 | 国网上海市电力公司 | A kind of online acquisition method of distribution line failure waveform |
CN108333477A (en) * | 2018-02-11 | 2018-07-27 | 国网宁夏电力有限公司 | Photovoltaic access electrical power distribution network fault location method based on synchronized timestamp and device |
Non-Patent Citations (1)
Title |
---|
谢民等: "联网录波器数据在电网故障诊断上的应用", 《电气技术》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110068774A (en) * | 2019-05-06 | 2019-07-30 | 清华四川能源互联网研究院 | Estimation method, device and the storage medium of lithium battery health status |
Also Published As
Publication number | Publication date |
---|---|
CN109541396B (en) | 2021-04-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106022592B (en) | Electricity consumption behavior abnormity detection and public security risk early warning method and device | |
CN104698343B (en) | Power grid fault judgment method and system based on history recorder data | |
CN106771870A (en) | A kind of distribution net work earthing fault localization method and system | |
CN203502996U (en) | System for alarming dancing based on power transmission line of electric power system | |
CN110749784B (en) | Line electricity stealing detection method based on electric power data wavelet analysis | |
CN110880225A (en) | Residual current type electric fire intelligent monitoring analysis method and device | |
CN110907755A (en) | Power transmission line online monitoring fault recognition method | |
CN114460411A (en) | Fault positioning method, device and system for power transmission network, processor and electronic equipment | |
CN106646133A (en) | Regional power grid T line fault range-finding system based on generalized measurement | |
CN115270974B (en) | Intelligent electricity larceny detection system based on big data analysis | |
CN109324241A (en) | A kind of grounding net of transformer substation corrosion diagnosis method for early warning and system | |
CN109239553A (en) | A kind of clustering method based on local density of partial discharge pulse | |
CN103048539A (en) | Accurate acquisition device and method of power frequency in audio forensics | |
CN103942865A (en) | Subway ticket evasion preventing system based on ultrasonic sensor and design method thereof | |
CN203561591U (en) | Device for detecting dirt of insulator by combining image analysis with ultrasonic principle | |
CN109541396A (en) | A kind of effective recorder data extracting method of fault detector | |
CN111190075A (en) | Distribution line fault positioning method based on pulse signal injection | |
CN203037739U (en) | Accurate acquisition device of power grid frequency in audio forensics | |
CN104408665B (en) | Based on the event-oriented noisy data processing system of SCD models | |
CN107147143A (en) | A kind of chain off-grid failure early warning models method for building up of blower fan | |
CN105652157B (en) | Method for analyzing health state of power distribution network based on traveling wave electric quantity | |
CN108629932B (en) | A kind of fiber grating perimeter security system alarm method of bond area information | |
CN102651163A (en) | Method for judging clock over-errors of electricity meters in community central meter-reading system | |
CN115065591B (en) | Electric vehicle charging pile fault early warning system and method based on state space model | |
CN201107354Y (en) | SPD early alarming administrative system |
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 |