CN106199362A - A kind of GIS device rapid abnormal method for detecting - Google Patents
A kind of GIS device rapid abnormal method for detecting Download PDFInfo
- Publication number
- CN106199362A CN106199362A CN201610828746.0A CN201610828746A CN106199362A CN 106199362 A CN106199362 A CN 106199362A CN 201610828746 A CN201610828746 A CN 201610828746A CN 106199362 A CN106199362 A CN 106199362A
- Authority
- CN
- China
- Prior art keywords
- days
- discharge capacity
- gis device
- gis
- cumulative charge
- 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.)
- Pending
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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1281—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of liquids or gases
Abstract
The invention discloses a kind of GIS device rapid abnormal method for detecting, the method includes: obtain the discharge capacity daily mean of GIS device；Choose accumulation natural law n, calculate cumulative charge x in GIS device n days；According to single day default discharge capacity threshold value m1, cumulative charge threshold value m in calculating n days；If cumulative charge x >=m in n days, it is determined that GIS device occurs abnormal.This method solving GIS rapid abnormal detection problem, it is possible to find the abnormal partial discharge phenomenon in GIS in time, accurately, it is determined that result accurately and timely, effectively prevent the wrong report that external interference causes, the method realizes improving the accuracy of abnomal results.
Description
Technical field
The present invention relates to power equipment monitoring technical field, particularly relate to a kind of GIS device rapid abnormal method for detecting.
Background technology
At present, GIS (Gas Insulated Switchgear, gas-insulating and fully-enclosed combined electrical apparatus) equipment is with its build
The advantage application such as small and exquisite, good looking appearance, easy for installation, floor space is little, function admirable is increasingly extensive.But GIS device manufacture,
In assembling and running, metal particle, insulative air gap etc. may be produced, thus produce shelf depreciation in the insulator and lack
Falling into, severe patient entail dangers to insulate, and causes dielectric breakdown accident.Therefore, by office in corresponding method discovery GIS promptly and accurately
Portion's electric discharge abnormal phenomena, significant for ensureing the safe and stable operation of GIS.
For the problems referred to above, research both domestic and external focuses primarily upon GIS Fault Pattern Recognition, and to GIS partial discharge
Quick Study of recognition little, the problem of there is wrong report for GIS abnomal results, failing to report, the accuracy of abnomal results is relatively low, example
As for GIS abnomal results, the problem that partial discharge monitoring ALM process exists wrong report, fails to report.Therefore, how to have
Effect utilize shelf depreciation statistical value carry out simple, quickly and to have office accurately to put abnomal results be current problem demanding prompt solution.
Summary of the invention
It is an object of the invention to provide a kind of GIS device rapid abnormal method for detecting, to realize improving the standard of abnomal results
Really property.
For solving above-mentioned technical problem, the present invention provides a kind of GIS device rapid abnormal method for detecting, and the method includes:
Obtain the discharge capacity daily mean of GIS device；
Choose accumulation natural law n, calculate cumulative charge x in GIS device n days；
According to single day default discharge capacity threshold value m1, cumulative charge threshold value m in calculating n days；
If cumulative charge x >=m in n days, it is determined that GIS device occurs abnormal.
Preferably, described method also includes:
If cumulative charge x < m in n days, it is determined that GIS device normally works.
Preferably, the discharge capacity daily mean of described acquisition GIS device, including:
The discharge capacity daily mean of GIS device is obtained from Partial Discharge Detection equipment.
Preferably, described accumulation natural law n=7.
Preferably, total discharge capacity x of GIS device accumulation in calculating n days, including:
Discharge capacity day by n-1 days before the discharge capacity daily mean of the last day in n days and described last day
Meansigma methods is added the discharge capacity x obtaining accumulations in n days.
Preferably, described cumulative charge threshold value m=m1×n。
Preferably, described single day default discharge capacity threshold value m1=30db.
A kind of GIS device rapid abnormal method for detecting provided by the present invention, the discharge capacity obtaining GIS device is per day
Value；Choose accumulation natural law n, calculate cumulative charge x in GIS device n days；According to single day default discharge capacity threshold value m1, calculate n
Cumulative charge threshold value m in it；If cumulative charge x >=m in n days, it is determined that GIS device occurs abnormal.Visible, the method solution
GIS rapid abnormal of having determined detection problem, can find the abnormal office in GIS by the way of accumulation threshold method in time, accurately
Portion's electric discharge phenomena, it is determined that result accurately and timely, effectively prevent the wrong report that external interference causes, the method realizes improving abnormal inspection
The accuracy gone out, solves the problem that partial discharge monitoring ALM process also exists wrong report, fails to report.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to
The accompanying drawing provided obtains other accompanying drawing.
Fig. 1 is the flow chart of a kind of GIS device rapid abnormal method for detecting provided by the present invention.
Detailed description of the invention
The core of the present invention is to provide a kind of GIS device rapid abnormal method for detecting, to realize improving the standard of abnomal results
Really property.
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with in the embodiment of the present invention
Accompanying drawing, is clearly and completely described the technical scheme in the embodiment of the present invention, it is clear that described embodiment is only
The a part of embodiment of the present invention rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under not making creative work premise, broadly falls into the scope of protection of the invention.
Refer to the flow chart that Fig. 1, Fig. 1 are a kind of GIS device rapid abnormal method for detecting provided by the present invention, the party
Method includes:
S11: obtain the discharge capacity daily mean of GIS device；
S12: choose accumulation natural law n, calculates cumulative charge x in GIS device n days；
S13: according to single day default discharge capacity threshold value m1, cumulative charge threshold value m in calculating n days；
S14: if cumulative charge x >=m in n days, it is determined that GIS device occurs abnormal.
Visible, this method solve GIS rapid abnormal detection problem, can be timely, accurate by the way of accumulation threshold method
The true abnormal partial discharge phenomenon in discovery GIS, it is determined that result accurately and timely, effectively prevent the mistake that external interference causes
Report, the method realize improve abnomal results accuracy, solve partial discharge monitoring ALM process also exist wrong report,
The problem failed to report.
Based on said method, further, if cumulative charge x < m in n days, it is determined that GIS device normally works.
Obtain the process of the discharge capacity daily mean of GIS device particularly as follows: obtain GIS from Partial Discharge Detection equipment and set
Standby discharge capacity daily mean.Detailed, obtain from Partial Discharge Detection equipment is discharge capacity daily mean sequence.GIS
Discharge capacity daily mean is to discharge in 5 minutes counted on according to Partial Discharge Detection in the average of amplitude obtains 5 minutes to put
Electricity average, recycle this day gather all 5 minutes in discharge average be averaged value calculating, the average of gained is discharge capacity
Daily mean, this value has statistical significance.
Such as obtain the per day of local discharge detection device 01 1 day July in 2013 to one month on the 31st July of collecting
Discharge capacity, the wherein loss of data on July 24th, 2013, data form is as shown in table 1.Local discharge detection device 02 collects
The per day discharge capacity in 30 days Mays in 2013 to one month on the 29th June, data form is as shown in table 2.
Table 1
Table 2
Further, accumulation natural law n=7.Choosing accumulation natural law n is to choose accumulation natural law as the case may be, typically selects
Take one week 7 days for accumulation natural law n, i.e. n=7.
Further, the process of total discharge capacity x of GIS device accumulation in n days is calculated particularly as follows: by last in n days
It discharge capacity daily mean is added the electric discharge obtaining accumulations in n days with the discharge capacity daily mean of n-1 days before last day
Amount x.Namely by the discharge capacity addition calculation n days cumulative charge x of n days.Namely by day to be assessed discharge capacity daily mean
It is added with the discharge capacity daily mean of n-1 days before this day and obtains n days cumulative charge x.
Obtained by local discharge detection device 01, cumulative charge (7-July 31 July) is as shown in table 3.Shelf depreciation
Obtained by detection device 02, cumulative charge (5-June 29 June) is as shown in table 4.
Table 3
Table 4
According to the threshold value of cumulative charge, obtain and differentiate result, if n days cumulative charge x >=m, then judge that GIS is abnormal,
If x < m, it is determined that GIS is normal.
Wherein, cumulative charge threshold value m=m1×n.Cumulative charge threshold value m is referred to as accumulation threshold, single day discharge capacity
Threshold value m1Referred to as single day threshold value, accumulation threshold m is single day threshold value m1Product with accumulation natural law n.
Wherein, single day discharge capacity threshold value m preset1=30db.Accumulation threshold is m=n × m1=(7 × 30) db=
210db.Accumulation threshold is set as 210db, compares cumulative charge and accumulation threshold.If cumulative charge is more than accumulation threshold
Value, then result of determination is set as 1, otherwise, it is determined that be 0.1 to represent GIS abnormal, and 0 to represent GIS normal.Local discharge detection device
01 result of determination (7-July 31 July) is as shown in table 5.Cumulative charge (June 5 obtained by local discharge detection device 02
Day-June 29) as shown in table 6.
Table 5
Table 6
Therefore, to judge for the first time that GIS occurred July 20 abnormal for local discharge detection device 01, it is determined that result accurately and
Time.Local discharge detection device 02 does not determines exception, effectively prevent the wrong report that external interference causes.
The present invention solves GIS rapid abnormal detection problem, it is possible to find that the exception local in GIS is put in time, accurately
Electrical phenomena.
To sum up, a kind of GIS device rapid abnormal method for detecting provided by the present invention, obtain the discharge capacity day of GIS device
Meansigma methods；Choose accumulation natural law n, calculate cumulative charge x in GIS device n days；According to single day default discharge capacity threshold value m1,
Cumulative charge threshold value m in calculating n days；If cumulative charge x >=m in n days, it is determined that GIS device occurs abnormal.Visible, should
Method solves GIS rapid abnormal detection problem, can find in GIS in time, accurately by the way of accumulation threshold method
Abnormal partial discharge phenomenon, it is determined that result accurately and timely, effectively prevent the wrong report that external interference causes, the method realizes improving
The accuracy of abnomal results, solves the problem that partial discharge monitoring ALM process also exists wrong report, fails to report.
Above a kind of GIS device rapid abnormal method for detecting provided by the present invention is described in detail.Herein
Applying specific case to be set forth principle and the embodiment of the present invention, the explanation of above example is only intended to help
Understand method and the core concept thereof of the present invention.It should be pointed out that, for those skilled in the art, do not taking off
On the premise of the principle of the invention, it is also possible to the present invention is carried out some improvement and modification, these improve and modification also falls into this
In invention scope of the claims.
Claims (7)
1. a GIS device rapid abnormal method for detecting, it is characterised in that including:
Obtain the discharge capacity daily mean of GIS device；
Choose accumulation natural law n, calculate cumulative charge x in GIS device n days；
According to single day default discharge capacity threshold value m1, cumulative charge threshold value m in calculating n days；
If cumulative charge x >=m in n days, it is determined that GIS device occurs abnormal.
2. the method for claim 1, it is characterised in that also include:
If cumulative charge x < m in n days, it is determined that GIS device normally works.
3. the method for claim 1, it is characterised in that the discharge capacity daily mean of described acquisition GIS device, including:
The discharge capacity daily mean of GIS device is obtained from Partial Discharge Detection equipment.
4. method as claimed in claim 2, it is characterised in that described accumulation natural law n=7.
5. method as claimed in claim 3, it is characterised in that total discharge capacity x of GIS device accumulation in calculating n days, including:
By per day for the discharge capacity of n-1 days before the discharge capacity daily mean of the last day in n days and described last day
Value is added the discharge capacity x obtaining accumulations in n days.
6. the method for claim 1, it is characterised in that described cumulative charge threshold value m=m1×n。
7. method as claimed in claim 6, it is characterised in that described single day default discharge capacity threshold value m1=30db.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610828746.0A CN106199362A (en) | 2016-09-18 | 2016-09-18 | A kind of GIS device rapid abnormal method for detecting |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610828746.0A CN106199362A (en) | 2016-09-18 | 2016-09-18 | A kind of GIS device rapid abnormal method for detecting |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106199362A true CN106199362A (en) | 2016-12-07 |
Family
ID=58068041
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610828746.0A Pending CN106199362A (en) | 2016-09-18 | 2016-09-18 | A kind of GIS device rapid abnormal method for detecting |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106199362A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109073704A (en) * | 2017-03-02 | 2018-12-21 | 罗斯蒙特公司 | Trend function for shelf depreciation |
| US11067639B2 (en) | 2017-11-03 | 2021-07-20 | Rosemount Inc. | Trending functions for predicting the health of electric power assets |
| US11181570B2 (en) | 2018-06-15 | 2021-11-23 | Rosemount Inc. | Partial discharge synthesizer |
| US11313895B2 (en) | 2019-09-24 | 2022-04-26 | Rosemount Inc. | Antenna connectivity with shielded twisted pair cable |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08338856A (en) * | 1995-06-12 | 1996-12-24 | Hitachi Cable Ltd | Method for deciding partial discharge |
| CN102735999A (en) * | 2012-07-02 | 2012-10-17 | 山东电力集团公司电力科学研究院 | Gas insulated substation (GIS) partial discharge online monitoring system and fault mode identifying method thereof |
| CN103913679A (en) * | 2014-03-03 | 2014-07-09 | 国联思创（北京）科技有限公司 | Online monitoring system for partial discharge of high-voltage switch cabinet |
| CN105158608A (en) * | 2015-09-09 | 2015-12-16 | 成都比善科技开发有限公司 | On-line monitoring method of on-line monitoring system in power station |
| CN205193212U (en) * | 2015-10-28 | 2016-04-27 | 广东电网有限责任公司汕头供电局 | Insulating detecting system of DC cable |
| CN205263241U (en) * | 2015-11-12 | 2016-05-25 | 国网重庆市电力公司电力科学研究院 | High voltage power cable connects partial discharge on -line monitoring device |
-
2016
- 2016-09-18 CN CN201610828746.0A patent/CN106199362A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08338856A (en) * | 1995-06-12 | 1996-12-24 | Hitachi Cable Ltd | Method for deciding partial discharge |
| CN102735999A (en) * | 2012-07-02 | 2012-10-17 | 山东电力集团公司电力科学研究院 | Gas insulated substation (GIS) partial discharge online monitoring system and fault mode identifying method thereof |
| CN103913679A (en) * | 2014-03-03 | 2014-07-09 | 国联思创（北京）科技有限公司 | Online monitoring system for partial discharge of high-voltage switch cabinet |
| CN105158608A (en) * | 2015-09-09 | 2015-12-16 | 成都比善科技开发有限公司 | On-line monitoring method of on-line monitoring system in power station |
| CN205193212U (en) * | 2015-10-28 | 2016-04-27 | 广东电网有限责任公司汕头供电局 | Insulating detecting system of DC cable |
| CN205263241U (en) * | 2015-11-12 | 2016-05-25 | 国网重庆市电力公司电力科学研究院 | High voltage power cable connects partial discharge on -line monitoring device |
Non-Patent Citations (2)
| Title |
|---|
| 刘青等: "放电量特征参量表征故障发展阶段的研究", 《电气应用》 * |
| 程养春等: "恒定电压下油纸绝缘局部放电发展规律及缺陷状态诊断", 《高电压技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109073704A (en) * | 2017-03-02 | 2018-12-21 | 罗斯蒙特公司 | Trend function for shelf depreciation |
| US11448682B2 (en) | 2017-03-02 | 2022-09-20 | Rosemount Inc. | Trending functions for partial discharge |
| US11067639B2 (en) | 2017-11-03 | 2021-07-20 | Rosemount Inc. | Trending functions for predicting the health of electric power assets |
| US11181570B2 (en) | 2018-06-15 | 2021-11-23 | Rosemount Inc. | Partial discharge synthesizer |
| US11313895B2 (en) | 2019-09-24 | 2022-04-26 | Rosemount Inc. | Antenna connectivity with shielded twisted pair cable |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106199362A (en) | A kind of GIS device rapid abnormal method for detecting | |
| CN107069682B (en) | A kind of HVDC transmission line back-up protection method based on DC control system | |
| CN107340459A (en) | A kind of DC Line Fault arc method for measuring and system | |
| Chen et al. | Analysis of mixed inverter/rectifier multi-infeed HVDC systems | |
| CN105071341B (en) | A kind of CT saturation recognition methods | |
| CN104577999B (en) | Bus bar protecting method and system based on transient zero-sequence current feature | |
| CN104158174B (en) | Electric power system catastrophic failure methods of risk assessment | |
| CN110095688B (en) | Fault detection method and device for LCC-MMC hybrid three-terminal direct-current power transmission system | |
| CN101620262A (en) | Fault monitoring method of operating capacitive voltage transformer | |
| CN102290155B (en) | Design method for insulation thickness of high-voltage cross-linked polyethylene direct current (DC) cable | |
| CN108091489A (en) | A kind of Working electrolyte and preparation method of 850-900V aluminium electrolutic capacitors | |
| CN104834765A (en) | Power cable accessory state evaluation method based on finite element electric field analysis | |
| CN104090211B (en) | A kind of online test method of distribution line high resistance earthing fault | |
| JP2012191686A (en) | Lightning failure risk calculation system for low-voltage power apparatus, lightning failure risk calculation program for low-voltage power apparatus, and maintenance method for low-voltage power apparatus | |
| CN108008236A (en) | A kind of method for detecting electrical equipment fault | |
| CN204597008U (en) | A kind of anti-virtual connection current testing binding post | |
| CN110401175A (en) | A kind of relay protection redundancy sampling optimization method | |
| CN201477169U (en) | Insulation defect detection device for high voltage cable accessory | |
| CN105548821A (en) | Lightning arrester live detection method | |
| CN104953553A (en) | Gas-sensitive protection device and method for dry metallized film capacitor | |
| Węgierek et al. | Methodology for testing the electric strength of vacuum chambers designed for modern medium voltage switchgear | |
| CN105958464A (en) | EHV (extra-high voltage) DC grounding electrode circuit insulation coordination method | |
| CN104459469B (en) | A kind of distribution line failure detection method | |
| CN209342806U (en) | A kind of solar inverter | |
| CN106208017A (en) | A kind of for arc-extinguishing harmonic-eliminating and the integration unit of overvoltage protection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161207 |