CN105044647A - Intelligent substation electronic transformer sampling distortion monitoring method based on SV message - Google Patents
Intelligent substation electronic transformer sampling distortion monitoring method based on SV message Download PDFInfo
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- CN105044647A CN105044647A CN201510464310.3A CN201510464310A CN105044647A CN 105044647 A CN105044647 A CN 105044647A CN 201510464310 A CN201510464310 A CN 201510464310A CN 105044647 A CN105044647 A CN 105044647A
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Abstract
The invention discloses an intelligent substation electronic transformer sampling distortion monitoring method based on an SV message. The method is characterized by carrying out no-voltage or no-current judgment by calculating measurement true RMS (root mean square) of an electronic transformer uninterruptably; if criterion is input and the threshold value is effective, carrying out judgment on each SV sampling point of the electronic transformer; and if any SV sampling point of the electronic transformer has distortion abnormity, sending a warning message and summarizing abnormity frequency, and meanwhile, recording SV sampling data of the electronic transformer. The method carries out real-time diagnosis and alarm on each SV sampling point of the electronic transformer running in an intelligent substation, so that operation and maintenance personnel of the intelligent substation can find the sampling abnormal conditions of the electronic transformer in time, and take necessary measures to reduce or even prevent serious consequences caused by protection misaction or action refusing.
Description
Technical field
The invention belongs to intelligent substation technical field, be specifically related to a kind of intelligent substation electronic transducer sampling based on SV message distortion monitoring method.
Background technology
The electronic mutual inductor research of China, from 20 century 70 startings, has electronic mutual inductor hanging net operation in 10 ~ 750kV electric system of Duo Jia unit development.The electronic mutual inductor that the companies such as external ALSTOM, NxtPhase, SDO, ABB, SIEMENS produce also has portioned product hanging net operation.Within 2010, rise, Guo Wang company just starts to apply various types of electronic mutual inductor in the intelligent substation pilot of various places.From type, current transformer mainly contains: all-fiber formula, magneto-optic glass formula, Luo-coil formula; Voltage transformer (VT) mainly contains: resistance-capacitance differential pressure type, capacitance-voltage-distributing type, inverse piezoelectric type.
From the pilot situation of current domestic electronic mutual inductor, the reliability and stability of electronic mutual inductor are poor, and the failure rate that is in operation is higher.According to statistics, ended for the end of the year 2011, state's net Corporation system 110 (66) kV and above electronic current mutual inductor break down 138 times altogether; 110 (66) kV and above electronic type voltage transformer break down 51 times altogether.When mutual inductor breaks down, directly will affect Control protection system, even can cause protection and automatic safety device malfunction, consequence is very serious.
Current intelligent substation generally adopts Luo-coil current transformer and capacitive divided voltage mutual inductor, these two kinds of mutual inductors mainly face following risk: Luo-coil current transformer, because equipment is unstable, the progress of disease is abnormal and produce large data, causes false protection; When Luo-coil current transformer is subject to plug-in strip arcing, VFTO (fast transient overvoltage) impact, causes output current error out-of-limit, causes false protection; Voltage transformer (VT) changes due to circuit parameter, causes the voltage progress of disease inaccurate, may cause malfunction of autotomying time serious; Electronic mutual inductor due to equipment unstable, there is sampled value and lose the abnormal conditions such as point, sampling interval be unstable, cause protection blocking or according to dynamic.
The domestic and international supervision to electronic mutual inductor is at present only limitted to the self-inspection of electronic mutual inductor inside; as temperature, humidity, chip self-inspection etc.; electronic mutual inductor sampled value is occurred that abnormal large data or precise decreasing etc. have a strong impact on the problem of power system security reliability service; but lack necessary monitoring means, could find after often can only waiting until false protection.
Summary of the invention
The object of this invention is to provide a kind of intelligent substation electronic transducer sampling based on SV message distortion monitoring method, cannot monitor and affect the problem of power system security reliability service its sample exception or precise decreasing to solve existing electronic mutual inductor.
In order to realize above object, the technical solution adopted in the present invention is: a kind of distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method, and the step of the method is as follows:
(1) relevant configuration information of electric mutual inductor is read;
(2) the SV sampled data of electric mutual inductor is utilized to calculate the measurement real effective of electric mutual inductor, each cycle calculates once, when the real effective of electric mutual inductor is less than setting value, be judged as no-voltage or no current, do not perform sampling distortion monitoring criterion, otherwise then carry out sampling distortion monitoring;
(3) when carrying out sampling distortion monitoring, each SV sampled point of electric mutual inductor is judged, n-th SV sampled point sample (n) is compared with previous sampled point sample (n-1) and a rear sampled point sample (n+1) respectively, if sample (n) is all greater than Δ sample with the absolute value of the difference that sample (n-1) compares with sample (n+1), then judge the n-th SV sampled point sample (n) distortion.
When monitoring any one SV sampled point existence distortion of electric mutual inductor, namely provide warning information and add up frequency of abnormity, simultaneously the relevant SV sampled data of recorded electronic mutual inductor.
Setting value in described step (2) is K*A
volume, wherein K is setting multiple, A
volumefor electric mutual inductor secondary ratings.
In described step (3), the computing formula of Δ sample is as follows:
Wherein, S
thresholdfor threshold value of adjusting, M is the sampling number of the every cycle of electric mutual inductor, A
volumefor electric mutual inductor secondary ratings.
Relevant configuration information in described step (1) comprises electric mutual inductor type, electric mutual inductor secondary ratings, threshold value of adjusting, distortion monitoring criterion of sampling is thrown and moved back control word.
Setting multiple K is 0.05.
The sampling number M of the every cycle of electric mutual inductor is 80.
The intelligent substation electronic transducer sampling distortion monitoring method that the present invention is based on SV message uninterruptedly calculates the measurement real effective of electric mutual inductor, carry out with no pressure or judge without stream, if criterion drops into and threshold value is effective, then each SV sampled point of electric mutual inductor is judged.The method carries out real-time diagnosis alarm to each SV sampled point of the electronic mutual inductor operated in intelligent substation; intelligent substation operation maintenance personnel by this can the sampling abnormal conditions of Timeliness coverage electronic mutual inductor, thus take necessary measure to reduce even to avoid to occur the serious consequence that false protection or tripping cause.
Accompanying drawing explanation
Fig. 1 be the present invention sample distortion monitoring method process flow diagram.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, the present invention is described further.
Be illustrated in figure 1 the process flow diagram of the intelligent substation electronic transducer sampling distortion monitoring method that the present invention is based on SV message, as seen from the figure, the step of the method is as follows:
(1) read the relevant configuration information of electric mutual inductor, relevant configuration information here comprise electric mutual inductor type, electric mutual inductor secondary ratings, threshold value of adjusting, sampling distortion monitoring criterion throw move back that control word etc. is relevant can configuration information;
(2) the SV sampled data of electric mutual inductor is utilized to calculate the measurement real effective of electric mutual inductor, each cycle calculates once, when the real effective of electric mutual inductor is less than setting value, be judged as no-voltage or no current, do not perform sampling distortion monitoring criterion, otherwise then carry out sampling distortion monitoring;
The measurement real effective utilizing SV sampled data to calculate electric mutual inductor belongs to the ordinary skill in the art, repeats no more here; In addition, the computing formula of above-mentioned setting value is K*A
volume, wherein, K is setting multiple, preferably 0.05, A
volumefor electric mutual inductor secondary ratings.
(3) the monitoring criterion that distorts if sample drops into and threshold value of adjusting is effective, when then carrying out sampling distortion monitoring, each SV sampled point of electric mutual inductor is judged, n-th SV sampled point sample (n) is compared with previous sampled point sample (n-1) and a rear sampled point sample (n+1) respectively, if sample (n) is all greater than Δ sample with the absolute value of the difference that sample (n-1) compares with sample (n+1), namely meet sample (n)-sample (n-1) and be greater than Δ sample and sample (n)-sample (n+1) is greater than Δ sample, or meet sample (n-1)-sample (n) be greater than Δ sample and sample (n+1)-sample (n) is greater than the condition of Δ sample time, then judge the n-th SV sampled point sample (n) distortion.
The computing formula of Δ sample is as follows:
Wherein, S
thresholdfor threshold value of adjusting, M is the sampling number of the every cycle of electric mutual inductor, the value of M preferably 80; A
volumefor electric mutual inductor secondary ratings.
In addition, as long as any one the SV sampled point monitoring electric mutual inductor exists distortion, namely provide warning information and add up frequency of abnormity, simultaneously the relevant SV sampled data of recorded electronic mutual inductor.
Above embodiment only understands core concept of the present invention for helping; the present invention can not be limited with this; for those skilled in the art; every according to thought of the present invention; the present invention is modified or equivalent replacement; any change done in specific embodiments and applications, all should be included within protection scope of the present invention.
Claims (7)
1., based on an intelligent substation electronic transducer sampling distortion monitoring method for SV message, it is characterized in that, the step of the method is as follows:
(1) relevant configuration information of electric mutual inductor is read;
(2) the SV sampled data of electric mutual inductor is utilized to calculate the measurement real effective of electric mutual inductor, each cycle calculates once, when the real effective of electric mutual inductor is less than setting value, be judged as no-voltage or no current, do not perform sampling distortion monitoring criterion, otherwise then carry out sampling distortion monitoring;
(3) when carrying out sampling distortion monitoring, each SV sampled point of electric mutual inductor is judged, n-th SV sampled point sample (n) is compared with previous sampled point sample (n-1) and a rear sampled point sample (n+1) respectively, if sample (n) is all greater than Δ sample with the absolute value of the difference that sample (n-1) compares with sample (n+1), then judge the n-th SV sampled point sample (n) distortion.
2. the distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method according to claim 1, it is characterized in that: when monitoring any one SV sampled point existence distortion of electric mutual inductor, namely provide warning information and add up frequency of abnormity, simultaneously the relevant SV sampled data of recorded electronic mutual inductor.
3. the distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method according to claim 1, is characterized in that: the setting value in described step (2) is K*A
volume, wherein K is setting multiple, A
volumefor electric mutual inductor secondary ratings.
4. the distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method according to claim 1, is characterized in that: in described step (3), the computing formula of Δ sample is as follows:
Wherein, S
thresholdfor threshold value of adjusting, M is the sampling number of the every cycle of electric mutual inductor, A
volumefor electric mutual inductor secondary ratings.
5. the distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method according to claim 1, is characterized in that: the relevant configuration information in described step (1) comprises electric mutual inductor type, electric mutual inductor secondary ratings, threshold value of adjusting, distortion monitoring criterion of sampling is thrown and moved back control word.
6. the distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method according to claim 3, is characterized in that: setting multiple K is 0.05.
7. the distortion of the intelligent substation electronic transducer sampling based on SV message monitoring method according to claim 4, is characterized in that: the sampling number M of the every cycle of electric mutual inductor is 80.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105510754A (en) * | 2016-01-22 | 2016-04-20 | 许昌许继软件技术有限公司 | Dual AD sampling inconsistency judging method for intelligent substation |
| CN106786336A (en) * | 2016-12-26 | 2017-05-31 | 国电南瑞科技股份有限公司 | The sampling of intelligent substation protection device single-point is abnormal to count greatly anti-error processing method |
| CN112731206A (en) * | 2020-12-07 | 2021-04-30 | 南京国电南自电网自动化有限公司 | Analog input type merging unit protection current transformer disconnection detection method |
| CN114697081A (en) * | 2022-02-28 | 2022-07-01 | 国网江苏省电力有限公司淮安供电分公司 | Intrusion detection method and system based on IEC61850 SV message operation situation model |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101430360A (en) * | 2008-12-08 | 2009-05-13 | 国电南瑞科技股份有限公司 | Error data identification method for secondary equipment in electric power supply system |
| CN103208800A (en) * | 2012-01-11 | 2013-07-17 | 上海翱辰电气科技有限公司 | Real-time monitoring system and method for power grid |
| CN103217569A (en) * | 2013-05-06 | 2013-07-24 | 广东电网公司珠海供电局 | Real-time current diagnosis method and equipment of homologous SMV (Sampled Measured Value) sample information of intelligent substation |
| CN103247996A (en) * | 2013-04-17 | 2013-08-14 | 华南理工大学 | Compensation method for secondary current distortion caused by current transformer saturation |
| CN203519746U (en) * | 2013-10-28 | 2014-04-02 | 保定华源电气新技术开发有限公司 | Digital electric energy quality monitoring device |
| CN104393674A (en) * | 2014-10-28 | 2015-03-04 | 许继电气股份有限公司 | Intelligent transformer station electronic mutual inductor state monitoring system and method |
-
2015
- 2015-07-30 CN CN201510464310.3A patent/CN105044647A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101430360A (en) * | 2008-12-08 | 2009-05-13 | 国电南瑞科技股份有限公司 | Error data identification method for secondary equipment in electric power supply system |
| CN103208800A (en) * | 2012-01-11 | 2013-07-17 | 上海翱辰电气科技有限公司 | Real-time monitoring system and method for power grid |
| CN103247996A (en) * | 2013-04-17 | 2013-08-14 | 华南理工大学 | Compensation method for secondary current distortion caused by current transformer saturation |
| CN103217569A (en) * | 2013-05-06 | 2013-07-24 | 广东电网公司珠海供电局 | Real-time current diagnosis method and equipment of homologous SMV (Sampled Measured Value) sample information of intelligent substation |
| CN203519746U (en) * | 2013-10-28 | 2014-04-02 | 保定华源电气新技术开发有限公司 | Digital electric energy quality monitoring device |
| CN104393674A (en) * | 2014-10-28 | 2015-03-04 | 许继电气股份有限公司 | Intelligent transformer station electronic mutual inductor state monitoring system and method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105510754A (en) * | 2016-01-22 | 2016-04-20 | 许昌许继软件技术有限公司 | Dual AD sampling inconsistency judging method for intelligent substation |
| CN106786336A (en) * | 2016-12-26 | 2017-05-31 | 国电南瑞科技股份有限公司 | The sampling of intelligent substation protection device single-point is abnormal to count greatly anti-error processing method |
| CN112731206A (en) * | 2020-12-07 | 2021-04-30 | 南京国电南自电网自动化有限公司 | Analog input type merging unit protection current transformer disconnection detection method |
| CN112731206B (en) * | 2020-12-07 | 2023-08-15 | 南京国电南自电网自动化有限公司 | Analog input type merging unit protection current transformer broken line detection method |
| CN114697081A (en) * | 2022-02-28 | 2022-07-01 | 国网江苏省电力有限公司淮安供电分公司 | Intrusion detection method and system based on IEC61850 SV message operation situation model |
| CN114697081B (en) * | 2022-02-28 | 2024-05-07 | 国网江苏省电力有限公司淮安供电分公司 | Intrusion detection method and system based on IEC61850 SV message running situation model |
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