CN114089250B - Current transformer abnormality identification and processing method - Google Patents
Current transformer abnormality identification and processing method Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
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Abstract
The invention discloses a method for identifying and processing the abnormality of a current transformer, which comprises the following steps: dividing the region where the transformer substation to be tested is located by adopting a preset region division rule to obtain a first region and a second region, wherein the second region comprises the first region; acquiring voltage and current data in a first area and a second area; based on the acquired data, judging whether the current transformer in the first area is abnormal or not by adopting a preset first judging method; when the current transformer in the first area is abnormal, a preset second judging method is adopted to position the abnormal current transformer in the first area. The processing method comprises the following steps: the station domain protection sends an alarm signal to a transformer protection device; the transformer protection device improves the protection fixed value to ensure that the transformer protection cannot malfunction. The invention can accurately identify the abnormal position of the current transformer. The invention can identify the position of the abnormal current transformer and improve the reliability of transformer protection.
Description
Technical Field
The invention relates to a current transformer abnormality identification method, and belongs to the technical field of current transformer detection.
Background
In recent years, along with the continuous expansion of the scale of the power system in China, the voltage level is higher and higher, and the stability and the safety of the operation of the power system are particularly important. Therefore, the performance of electrical equipment must be continually improved and upgraded to meet the needs of safe and reliable operation of electrical power systems. The current transformer is used as high-voltage electrical equipment widely applied in an electrical power system, and plays a decisive role in normal operation of secondary equipment such as a relay protection device, a monitoring device and the like. When the current transformer is saturated, broken, and the like, the acquired primary voltage and current data are distorted or wrong, and are difficult to use normally, so that the situation of protection misoperation is most likely to occur. Therefore, the identification of the abnormality of the current transformer is very important.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a current transformer abnormality identification method and a processing method, which can identify the position of the abnormal current transformer and improve the reliability of transformer protection. In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a method for identifying an abnormality of a current transformer, including:
dividing an area where a transformer substation to be tested is located by adopting a preset area division rule to obtain a first area and a second area, wherein the second area comprises the first area;
acquiring voltage and current synchronous data in a first area and a second area;
based on the acquired data, judging whether the current transformer in the first area is abnormal or not by adopting a preset first judging method;
when the current transformer in the first area is abnormal, a preset second judging method is adopted to position the abnormal current transformer in the first area.
In combination with the first aspect, preferably, when no abnormality occurs in the current transformer in the first area, the voltage-current synchronization data in the first area and the second area is continuously acquired.
With reference to the first aspect, further, the preset area division rule includes:
the first region contains the high and low voltage sides of the main transformer and the second region contains the line-in side of the main transformer and all the line-in sides connected to the low voltage side of the main transformer.
With reference to the first aspect, further, acquiring voltage-current synchronization data includes:
And collecting the voltage and the current in the first area and the second area, and carrying out interpolation resampling on the collected data to obtain the voltage and current synchronous data.
With reference to the first aspect, further, the preset first determination method uses any one of power differential abnormality determination and current differential abnormality determination to determine.
With reference to the first aspect, further, the power differential anomaly determination includes:
Calculating active power instantaneous values of the circuit breakers on each side in the first area and the second area based on the voltage-current synchronous data in the first area and the second area, comprising: active power instantaneous value P 1h at the high-voltage side of the main transformer, active power instantaneous value P 1 at the wire inlet side at the high-voltage side of the main transformer, sum of active power instantaneous values P 2 of alpha-phase branch and beta-phase branch of the low-voltage side of the main transformer and sum of active power instantaneous values P 3 of all feeder circuit breakers at the wire inlet side;
The active power instantaneous value difference P d1 for the first region and the active power instantaneous value difference P d2 for the second region are calculated by:
Pd1＝P1h-P2
Pd2＝P1-P3
if P d1＞Pd1 set and P d2＜Pd2 set are the same, the current transformer in the first area is abnormal;
Wherein, P d1 set and P d2 set are respectively set according to the active loss of the main transformer in the first area and the second area.
With reference to the first aspect, further, the current differential anomaly determination includes:
calculating a main transformer high-voltage side three-phase current vector matrix I 1h, a main transformer high-voltage side incoming line side three-phase current vector matrix I 1, a main transformer low-voltage side alpha-phase branch and beta-phase branch current vector matrix sum I 2 and a feeder side current vector matrix sum I 3 based on current synchronous data in the first area and the second area;
The current differential vector matrix I cd1 for the first region and the current differential vector matrix I cd2 for the second region are calculated by:
Icd1＝I1h-K1I2
Icd2＝I1-K2I3
Wherein, K 1 is a low-voltage side to high-voltage side reduction matrix, and K 2 is a feeder side to high-voltage side reduction matrix;
If I cd1＞Icd1 set and I cd2＜Icd2 set are the same, the current transformer in the first area is abnormal;
Wherein I cd1 set denotes a current differential setting value of the first region; i cd2 set denotes a current differential setting value of the second region.
With reference to the first aspect, further, the preset second determination method uses any one of power differential positioning determination and current differential positioning determination to determine.
With reference to the first aspect, further, the power differential positioning determination includes:
Calculating a difference value P dh＝P1-P1h between an active power instantaneous value P 1 at the high-voltage side inlet wire side of the main transformer and an active power instantaneous value P 1h at the high-voltage side of the main transformer;
calculating a difference value P dα＝P2α-P3α between an active power instantaneous value P 2α of an alpha-phase branch of the low-voltage side of the main transformer and an active power instantaneous value P 3α of a feeder line side connected with the alpha phase branch;
Calculating a difference value P dβ＝P2β-P3β between an active power instantaneous value P 2β of a beta-phase branch of the low-voltage side of the main transformer and an active power instantaneous value P 3β of a feeder line side connected with the beta-phase branch;
if P dh＞Pdh set,Pdα＜Pdα set,Pdβ＜Pdβ set is detected, the high-voltage side current transformer of the main transformer is abnormal;
If P dh＜Pdh set,Pdα＞Pdα set,Pdβ＜Pdβ set is detected, the main transformer low-voltage side alpha-phase branch current transformer is abnormal;
If P dh＜Pdh set,Pdα＜Pdα set,Pdβ＞Pdβ set is detected, the main transformer low-voltage side beta-phase branch current transformer is abnormal;
wherein P dh set、Pdα set、Pdβ set represents a constant value of the corresponding active power instantaneous value difference, respectively.
With reference to the first aspect, further, the current differential positioning determination includes:
Calculating a difference value I cdh＝I1-I1h between a line-incoming side three-phase current vector matrix I 1 at the high-voltage side of the main transformer and a line-incoming side three-phase current vector matrix I 1h at the high-voltage side of the main transformer;
Calculating a difference value I cdα＝Iα-I3α between an alpha-phase branch current vector matrix I α of the low-voltage side of the main transformer and a current vector matrix I 3α of a feeder line side connected with alpha phase;
Calculating a difference value I cdβ＝Iβ-I3β between a beta-phase branch current vector matrix I β of the low-voltage side of the main transformer and a current vector matrix I 3β of a feeder line side connected with the beta phase;
If I cdh＞Icdh set,Icdα＜Icdα set,Icdβ＜Icdβ set is detected, the main transformer high-voltage side current transformer is abnormal;
If I cdh＜Icdh set,Icdα＞Icdα set,Icdβ＜Icdβ set is detected, the alpha-phase branch current transformer at the low-voltage side of the main transformer is abnormal;
if I cdh＜Icdh set,Icdα＜Icdα set,Icdβ＞Icdβ set is detected, the main transformer low-voltage side beta-phase branch current transformer is abnormal;
I cdh set、Icdα set、Icdβ set respectively represents corresponding abnormal threshold values of the current transformer, which are preset according to the same type coefficient of the current transformer.
In a second aspect, the present invention provides a method for processing an abnormality of a current transformer according to the first aspect, including: based on the position of the current transformer which is identified to be abnormal in the first area of the main transformer, the station domain protection sends an alarm signal to a transformer protection device; the transformer protection device improves the protection fixed value to ensure that the transformer protection cannot malfunction.
Compared with the prior art, the current transformer abnormality identification and processing method provided by the embodiment of the invention has the following beneficial effects:
the method comprises the steps of dividing an area where a transformer substation to be detected is located by adopting a preset area division rule to obtain a first area and a second area, wherein the second area comprises the first area; acquiring voltage and current data in a first area and a second area; based on the acquired data, judging whether the current transformer in the first area is abnormal or not by adopting a preset first judging method; when the current transformer in the first area is abnormal, a preset second judging method is adopted to position the abnormal current transformer in the first area; according to the invention, besides the traditional current transformer abnormality identification method, the advantage of real-time sharing of data in the transformer substation is utilized, the abnormality of the current transformer is identified through station domain protection, and the position of the abnormal current transformer can be accurately identified;
The invention is based on the position of the current transformer which is identified to be abnormal in the first area of the main transformer, the station domain protection sends an alarm signal to a transformer protection device; the protection device of the transformer properly improves the protection fixed value so as to ensure that the protection of the transformer cannot malfunction; the invention properly improves the protection fixed value and the reliability of the transformer protection through the real-time communication of the station domain protection and the transformer protection.
Drawings
Fig. 1 is a flowchart of a method for identifying an abnormality of a current transformer according to embodiment 1 of the present invention;
Fig. 2 is a schematic diagram illustrating the division between the first area and the second area in the method for identifying the abnormality of the current transformer according to embodiment 1 of the present invention;
Fig. 3 is a flowchart of a method for processing an abnormality of a current transformer according to embodiment 2 of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Embodiment one:
as shown in fig. 1, a method for identifying abnormality of a current transformer includes:
dividing an area where a transformer substation to be tested is located by adopting a preset area division rule to obtain a first area and a second area, wherein the second area comprises the first area;
acquiring voltage and current synchronous data in a first area and a second area;
based on the acquired data, judging whether the current transformer in the first area is abnormal or not by adopting a preset first judging method;
when the current transformer in the first area is abnormal, a preset second judging method is adopted to position the abnormal current transformer in the first area.
The method comprises the following specific steps:
step 1: dividing the region where the transformer substation to be tested is located by adopting a preset region division rule to obtain a first region and a second region.
As shown in fig. 2, the first region contains the high and low voltage sides of the main transformer and the second region contains the incoming line side of the main transformer and all feeder line sides connected to the low voltage side of the main transformer.
Step 2: and acquiring voltage and current synchronous data in the first area and the second area.
Step 2.1: voltage and current are collected in the first region and the second region.
Step 2.2: and carrying out interpolation resampling on the acquired data to obtain voltage and current synchronous data.
Step 3: based on the acquired data, a preset first judging method is adopted to judge whether the current transformer in the first area is abnormal or not.
Specifically, the preset first determination method uses any one of power differential abnormality determination and current differential abnormality determination for determination.
The power differential abnormality determination includes:
Calculating active power instantaneous values of the circuit breakers on each side in the first area and the second area based on the voltage-current synchronous data in the first area and the second area, comprising: active power instantaneous value P 1h at the high-voltage side of the main transformer, active power instantaneous value P 1 at the wire inlet side at the high-voltage side of the main transformer, sum of active power instantaneous values P 2 of alpha-phase branch and beta-phase branch of the low-voltage side of the main transformer and sum of active power instantaneous values P 3 of all feeder circuit breakers at the wire inlet side;
The active power instantaneous value difference P d1 for the first region and the active power instantaneous value difference P d2 for the second region are calculated by:
Pd1＝P1h-P2
Pd2＝P1-P3
if P d1＞Pd1 set and P d2＜Pd2 set are the same, the current transformer in the first area is abnormal;
Wherein, P d1 set and P d2 set are respectively set according to the active loss of the main transformer in the first area and the second area.
The current differential abnormality determination includes:
calculating a main transformer high-voltage side three-phase current vector matrix I 1h, a main transformer high-voltage side incoming line side three-phase current vector matrix I 1, a main transformer low-voltage side alpha-phase branch and beta-phase branch current vector matrix sum I 2 and a feeder side current vector matrix sum I 3 based on current synchronous data in the first area and the second area;
The current differential vector matrix I cd1 for the first region and the current differential vector matrix I cd2 for the second region are calculated by:
Icd1＝I1h-K1I2
Icd2＝I1-K2I3
Wherein, K 1 is a low-voltage side to high-voltage side reduction matrix, and K 2 is a feeder side to high-voltage side reduction matrix;
If I cd1＞Icd1 set and I cd2＜Icd2 set are the same, the current transformer in the first area is abnormal;
Wherein I cd1 set represents a current differential threshold value of the first region; i cd2 set denotes the current differential threshold value of the second region.
Step 4: when the current transformer in the first area is abnormal, a preset second judging method is adopted to position the abnormal current transformer in the first area.
The preset second determination method adopts any one of power differential positioning determination and current differential positioning determination to perform determination.
A power differential positioning determination, comprising:
Calculating a difference value P dh＝P1-P1h between an active power instantaneous value P 1 at the high-voltage side inlet wire side of the main transformer and an active power instantaneous value P 1h at the high-voltage side of the main transformer;
calculating a difference value P dα＝P2α-P3α between an active power instantaneous value P 2α of an alpha-phase branch of the low-voltage side of the main transformer and an active power instantaneous value P 3α of a feeder line side connected with the alpha phase branch;
Calculating a difference value P dβ＝P2β-P3β between an active power instantaneous value P 2β of a beta-phase branch of the low-voltage side of the main transformer and an active power instantaneous value P 3β of a feeder line side connected with the beta-phase branch;
if P dh＞Pdh set,Pdα＜Pdα set,Pdβ＜Pdβ set is detected, the high-voltage side current transformer of the main transformer is abnormal;
If P dh＜Pdh set,Pdα＞Pdα set,Pdβ＜Pdβ set is detected, the main transformer low-voltage side alpha-phase branch current transformer is abnormal;
If P dh＜Pdh set,Pdα＜Pdα set,Pdβ＞Pdβ set is detected, the main transformer low-voltage side beta-phase branch current transformer is abnormal;
wherein P dh set、Pdα set、Pdβ set represents a constant value of the corresponding active power instantaneous value difference, respectively.
Current differential positioning determination, comprising:
Calculating a difference value I cdh＝I1-I1h between a line-incoming side three-phase current vector matrix I 1 at the high-voltage side of the main transformer and a line-incoming side three-phase current vector matrix I 1h at the high-voltage side of the main transformer;
Calculating a difference value I cdα＝Iα-I3α between an alpha-phase branch current vector matrix I α of the low-voltage side of the main transformer and a current vector matrix I 3α of a feeder line side connected with alpha phase;
Calculating a difference value I cdβ＝Iβ-I3β between a beta-phase branch current vector matrix I β of the low-voltage side of the main transformer and a current vector matrix I 3β of a feeder line side connected with the beta phase;
If I cdh＞Icdh set,Icdα＜Icdα set,Icdβ＜Icdβ set is detected, the main transformer high-voltage side current transformer is abnormal;
If I cdh＜Icdh set,Icdα＞Icdα set,Icdβ＜Icdβ set is detected, the alpha-phase branch current transformer at the low-voltage side of the main transformer is abnormal;
if I cdh＜Icdh set,Icdα＜Icdα set,Icdβ＞Icdβ set is detected, the main transformer low-voltage side beta-phase branch current transformer is abnormal;
I cdh set、Icdα set、Icdβ set respectively represents corresponding abnormal threshold values of the current transformer, which are preset according to the same type coefficient of the current transformer.
According to the invention, besides the traditional current transformer abnormality identification method, the advantage of real-time sharing of data in the transformer substation is utilized, the abnormality of the current transformer is identified through station domain protection, and the position of the abnormal current transformer can be accurately identified.
Embodiment two:
as shown in fig. 3, a current transformer abnormality processing method based on embodiment 1 includes: based on the position of the current transformer which is identified to be abnormal in the first area of the main transformer, the station domain protection sends an alarm signal to a transformer protection device; the transformer protection device improves the protection fixed value to ensure that the transformer protection cannot malfunction.
The invention properly improves the protection fixed value and the reliability of the transformer protection through the real-time communication of the station domain protection and the transformer protection.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (4)
1. The current transformer abnormality identification method is characterized by comprising the following steps of:
dividing an area where a transformer substation to be tested is located by adopting a preset area division rule to obtain a first area and a second area, wherein the second area comprises the first area;
acquiring voltage and current synchronous data in a first area and a second area;
Based on the acquired data, judging whether the current transformer in the first area is abnormal or not by adopting a preset first judging method; the preset first judging method adopts any one of power differential abnormality judgment and current differential abnormality judgment to judge;
wherein the power differential anomaly determination includes:
Calculating active power instantaneous values of the circuit breakers on each side in the first area and the second area based on the voltage-current synchronous data in the first area and the second area, comprising: active power instantaneous value P 1h at the high-voltage side of the main transformer, active power instantaneous value P 1 at the wire inlet side at the high-voltage side of the main transformer, sum of active power instantaneous values P 2 of alpha-phase branch and beta-phase branch of the low-voltage side of the main transformer and sum of active power instantaneous values P 3 of all feeder circuit breakers at the wire inlet side;
The active power instantaneous value difference P d1 for the first region and the active power instantaneous value difference P d2 for the second region are calculated by:
Pd1＝P1h-P2
Pd2＝P1-P3
if P d1＞Pd1set and P d2＜Pd2set are the same, the current transformer in the first area is abnormal;
Wherein, P d1set and P d2set are respectively set according to the active loss of the main transformer in the first area and the second area;
Wherein the current differential abnormality determination includes:
calculating a main transformer high-voltage side three-phase current vector matrix I 1h, a main transformer high-voltage side incoming line side three-phase current vector matrix I 1, a main transformer low-voltage side alpha-phase branch and beta-phase branch current vector matrix sum I 2 and a feeder side current vector matrix sum I 3 based on current synchronous data in the first area and the second area;
The current differential vector matrix I cd1 for the first region and the current differential vector matrix I cd2 for the second region are calculated by:
Icd1＝I1h-K1I2
Icd2＝I1-K2I3
Wherein, K 1 is a low-voltage side to high-voltage side reduction matrix, and K 2 is a feeder side to high-voltage side reduction matrix;
if I cd1＞Icd1set and I cd2＜Icd2set are the same, the current transformer in the first area is abnormal;
Wherein I cd1set represents a current differential threshold value of the first region; i cd2set denotes a current differential threshold value of the second region;
when the current transformer in the first area is abnormal, a preset second judging method is adopted to position the abnormal current transformer in the first area; the preset second judging method adopts any one of power differential positioning judgment and current differential positioning judgment to judge;
wherein the power differential positioning determination includes:
Calculating a difference value P dh＝P1-P1h between an active power instantaneous value P 1 at the high-voltage side inlet wire side of the main transformer and an active power instantaneous value P 1h at the high-voltage side of the main transformer;
calculating a difference value P dα＝P2α-P3α between an active power instantaneous value P 2α of an alpha-phase branch of the low-voltage side of the main transformer and an active power instantaneous value P 3α of a feeder line side connected with the alpha phase branch;
Calculating a difference value P dβ＝P2β-P3β between an active power instantaneous value P 2β of a beta-phase branch of the low-voltage side of the main transformer and an active power instantaneous value P 3β of a feeder line side connected with the beta-phase branch;
If P dh＞Pdhset,Pdα＜Pdαset,Pdβ＜Pdβset is detected, the high-voltage side current transformer of the main transformer is abnormal;
if P dh＜Pdhset,Pdα＞Pdαset,Pdβ＜Pdβset is detected, the main transformer low-voltage side alpha-phase branch current transformer is abnormal;
if P dh＜Pdhset,Pdα＜Pdαset,Pdβ＞Pdβset is detected, the main transformer low-voltage side beta-phase branch current transformer is abnormal;
Wherein, P dhset、Pdαset、Pdβset respectively represents the fixed value of the corresponding active power instantaneous value difference value;
wherein the current differential positioning determination includes:
Calculating a difference value I cdh＝I1-I1h between a line-incoming side three-phase current vector matrix I 1 at the high-voltage side of the main transformer and a line-incoming side three-phase current vector matrix I 1h at the high-voltage side of the main transformer;
Calculating a difference value I cdα＝Iα-I3α between an alpha-phase branch current vector matrix I α of the low-voltage side of the main transformer and a current vector matrix I 3α of a feeder line side connected with alpha phase;
Calculating a difference value I cdβ＝Iβ-I3β between a beta-phase branch current vector matrix I β of the low-voltage side of the main transformer and a current vector matrix I 3β of a feeder line side connected with the beta phase;
If I cdh＞Icdhset,Icdα＜Icdαset,Icdβ＜Icdβset is detected, the main transformer high-voltage side current transformer is abnormal;
If I cdh＜Icdhset,Icdα＞Icdαset,Icdβ＜Icdβset is detected, the alpha-phase branch current transformer at the low-voltage side of the main transformer is abnormal;
If I cdh＜Icdhset,Icdα＜Icdαset,Icdβ＞Icdβset is detected, the main transformer low-voltage side beta-phase branch current transformer is abnormal;
I cdhset、Icdαset、Icdβset respectively represents corresponding abnormal threshold values of the current transformer, which are preset according to the same type coefficient of the current transformer.
2. The current transformer anomaly identification method according to claim 1, wherein the preset region division rule comprises:
the first region contains the high and low voltage sides of the main transformer and the second region contains the line-in side of the main transformer and all the line-in sides connected to the low voltage side of the main transformer.
3. The method for identifying anomalies in a current transformer according to claim 1, wherein obtaining voltage-current synchronization data includes:
And collecting the voltage and the current in the first area and the second area, and carrying out interpolation resampling on the collected data to obtain the voltage and current synchronous data.
4. An abnormality processing method based on the current transformer abnormality recognition method according to any one of claims 1 to 3, characterized by comprising: based on the position of the current transformer which is identified to be abnormal in the first area of the main transformer, the station domain protection sends an alarm signal to a transformer protection device; the protection device of the transformer properly improves the protection fixed value so as to ensure that the protection of the transformer can not malfunction.
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Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2352891A (en) * | 1999-08-03 | 2001-02-07 | Alstom Uk Ltd | Fault protection in multi-phase power systems |
| JP3832700B2 (en) * | 1999-09-28 | 2006-10-11 | 株式会社東芝 | Busbar protection relay device |
| CN101183786B (en) * | 2007-11-16 | 2010-06-09 | 国电南瑞科技股份有限公司 | Anti-CT saturated sampling value differential protection of predicting CT linear transform area |
| BRPI0823146A2 (en) * | 2008-10-28 | 2015-06-16 | Siemens Ag | Process and Differential Protection Device |
| CN102142672B (en) * | 2011-05-05 | 2013-11-06 | 重庆大学 | Current differential protection method for built-in winding mutual inductor of three-phase transformer |
| CN103580006A (en) * | 2012-07-19 | 2014-02-12 | 宝钢不锈钢有限公司 | CT broken line discrimination method during bus protection |
| CN102967842B (en) * | 2012-10-24 | 2014-11-05 | 重庆大学 | Method for on-line diagnosing gradually-changing fault of electronic current transformers |
| CN103472360B (en) * | 2013-09-12 | 2016-05-25 | 深圳供电局有限公司 | A kind of electric grid relay protection hidden failure remote monitoring positioner |
| CN104267368B (en) * | 2014-10-14 | 2017-06-23 | 国家电网公司 | A kind of current transformer for metering secondary circuit failure monitoring method |
| CN105242229B (en) * | 2015-10-30 | 2018-03-02 | 国家电网公司 | A kind of failure system diagnostic method of The Rogowski Optical Current Transformer |
| CN106199330B (en) * | 2016-06-24 | 2019-04-26 | 国电南瑞南京控制系统有限公司 | A kind of marine wind electric field collection line fault positioning system and method |
| CN107247217B (en) * | 2017-07-19 | 2020-06-05 | 云南电网有限责任公司电力科学研究院 | Distribution network fault positioning device |
| CN109164288A (en) * | 2018-07-10 | 2019-01-08 | 北京四方继保自动化股份有限公司 | The state monitoring method of optical fiber current mutual inductor |
| CN109946561B (en) * | 2019-05-13 | 2022-02-18 | 上海思源弘瑞自动化有限公司 | Current transformer polarity testing method, device, equipment and storage medium |
| CN110763886B (en) * | 2019-12-05 | 2021-11-12 | 国网江苏省电力有限公司南通供电分公司 | Single-phase user electricity stealing judgment and positioning method |
| CN110988601A (en) * | 2019-12-24 | 2020-04-10 | 云南电力技术有限责任公司 | Distribution network branch line fault positioning method and device |
| CN113075447B (en) * | 2021-02-04 | 2024-06-18 | 浙江华云信息科技有限公司 | 400V low-voltage distribution network intelligent detection device and method |
-
2021
- 2021-10-11 CN CN202111180367.2A patent/CN114089250B/en active Active
Non-Patent Citations (2)
| Title |
|---|
| Ather Khan 等.A Current Transformer Saturation Time Difference Method for Detecting Out Of Zone Fault Using Mathematical Morphology.《2020 IEEE 1st China International Youth Conference on Electrical Engineering》.第1-5页. * |
| 发电机局部电流互感器简便校验方法;李宗泰;《红水河》;20160229;第35卷(第1期);第56-58页 * |
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