CN102901943B - Regional power grid-based sample data exception detection and over-current protection method - Google Patents
Regional power grid-based sample data exception detection and over-current protection method Download PDFInfo
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- CN102901943B CN102901943B CN201110438479.3A CN201110438479A CN102901943B CN 102901943 B CN102901943 B CN 102901943B CN 201110438479 A CN201110438479 A CN 201110438479A CN 102901943 B CN102901943 B CN 102901943B
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 title claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 230000005856 abnormality Effects 0.000 claims abstract description 9
- 238000005070 sampling Methods 0.000 claims description 65
- 230000035772 mutation Effects 0.000 claims description 28
- 230000001186 cumulative effect Effects 0.000 claims description 10
- 230000001360 synchronised effect Effects 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 6
- 230000001681 protective effect Effects 0.000 description 5
- 230000004069 differentiation Effects 0.000 description 4
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Abstract
The invention relates to a regional power grid-based sample data exception detection and over-current protection method, belonging to the technical field of relay protection of a power system. The method comprises the following steps of: firstly, judging whether the sample value of a current transformer to be detected is abnormal or not, respectively judging the abnormality of the sample values of the related current transformer which has direct electric association with the current transformer in a primary system if the sample value is abnormal, accumulating the real-time sample values point by point to sum if the sample values are normal, and deciding whether a protection module which is related to the sample data of the current transformer is opened to be used or not according to the summation result. The method provided by the invention is simple, and the current transformer with the abnormal sample values within the whole regional power grid can be quickly and effectively detected.
Description
Technical field
The present invention relates to a kind of sampled data abnormality detection based on regional power grid and overcurrent protection method, belong to Relay Protection Technology in Power System field.
Background technology
The development of intelligent grid facilitates and utilizes the computer technology of flourishing optical fiber communication network technology and advanced person to be focused in one (or several) physical unit by the relay protection function of the primary system of regional power grid to realize.Differential protection based on Kirchhoff's current law (KCL) is the main protection philosophy of centralized protective device, and Differential Protection Theory truly can reflect the size of current of primary system based on the double sampling value of current transformer in electric system.Therefore, when certain current transformer occurs that sampling is abnormal, will impact differential protection, may in electrical network protection misoperation during non-fault.
Summary of the invention
When the object of the invention is current transformer appearance sampling difference in the relay protection system of the primary system solving existing regional power grid, differential protection is impacted, so that there is protection misoperation during non-fault in electrical network.
The present invention solves the problems of the technologies described above to propose a kind of sampled data method for detecting abnormality based on regional power grid, and the concrete steps of this detection method are as follows:
1). differentiate whether the sampled value of current transformer to be measured undergos mutation, if there occurs sudden change, carry out following detecting step, otherwise think that the sampling of this current transformer is normal;
2). differentiate therewith current transformer once electrically on have the sampled value of other all current transformer of direct connection relational whether to undergo mutation, if there is no the sampled value phenomenon of undergoing mutation, then carry out following detecting step, otherwise think that the sampling of this current transformer is normal;
3). by all current transformers therewith once electrically on have the real-time sampling value of the current transformer of direct connection relational to carry out the cumulative summation of pointwise, if this cumulative summed result is less than sudden change threshold, then the sampling of this current transformer occurs abnormal, otherwise thinks that the sampling of this current transformer is normal.
Judge in described step 1) whether the sampled value of current transformer undergos mutation by a detection formula realization, and this detection formula is:
| i a (
k)
-i a (
k-2N) | >1.2 × | i a (
k-2N)
-i a (
k-4N)
|+I set , wherein
ifor sampled value,
kfor current sampling point,
nfor the sampling number of each power frequency period,
afor the phase of sample rate current,
i set for sudden change threshold.
Described step 2) in differentiate that the discrimination formula that current transformer has the sampled value of other current transformer of direct connection relational to undergo mutation therewith is:
| i a (
k)
-i a (
k-2N) | >1.2 × | i a (
k-2N)
-i a (
k-4N)
|+I set , wherein
ifor sampled value,
kfor current sampling point,
nfor the sampling number of each power frequency period,
afor the phase of sample rate current,
i set for sudden change threshold.
In described step 3) to all and current transformer to be measured once electrically on to have the real-time sampling value of the current transformer of direct connection relational to carry out when pointwise adds up and sue for peace should be carry out adding up and sue for peace in the direction of positive polarity according to the direction pointing to this current transformer to be measured.
The sampled data of each described current transformer is that synchronized sampling obtains.
The present invention solves the problems of the technologies described above to additionally provide a kind of overcurrent protection method based on regional power grid, and the concrete steps of this guard method are as follows:
1). differentiate whether the sampled value of current transformer to be measured undergos mutation, if there occurs sudden change, carry out following detecting step, otherwise think that the sampling of this current transformer is normal;
2). differentiate therewith current transformer once electrically on have the sampled value of other all current transformer of direct connection relational whether to undergo mutation, if there is no the sampled value phenomenon of undergoing mutation, then carry out following detecting step, otherwise think that the sampling of this current transformer is normal;
3). by all current transformers therewith once electrically on have the real-time sampling value of the current transformer of direct connection relational to carry out the cumulative summation of pointwise, if this cumulative summed result is less than sudden change threshold, then the sampling of this current transformer occurs abnormal, otherwise thinks that the sampling of this current transformer is normal;
4). be there is abnormal current transformer in sampled value and exit the relevant protection module using its sampled value.
Judge in described step 1) whether the sampled value of current transformer undergos mutation by a detection formula realization, and this detection formula is:
| i a (
k)
-i a (
k-2N) | >1.2 × | i a (
k-2N)
-i a (
k-4N)
|+I set , wherein
ifor sampled value,
kfor current sampling point,
nfor the sampling number of each power frequency period,
afor the phase of sample rate current,
i set for sudden change threshold.
Described step 2) in differentiate that the discrimination formula that current transformer has the sampled value of other current transformer of direct connection relational to undergo mutation therewith is:
| i a (
k)
-i a (
k-2N) | >1.2 × | i a (
k-2N)
-i a (
k-4N)
|+I set , wherein
ifor sampled value,
kfor current sampling point,
nfor the sampling number of each power frequency period,
afor the phase of sample rate current,
i set for sudden change threshold.
In described step 3) to all and current transformer to be measured once electrically on to have the real-time sampling value of the current transformer of direct connection relational to carry out when pointwise adds up and sue for peace should be carry out adding up and sue for peace in the direction of positive polarity according to the direction pointing to this current transformer to be measured.
The sampled data of each described current transformer is that synchronized sampling obtains.
The invention has the beneficial effects as follows: the present invention utilizes the sampled data of real-time sampling data to current transformer to be detected of other current transformer in the centralized protective device of regional power grid to verify; to detect whether the sampling of this current transformer occurs difference, thus determine whether this current transformer exits the relevant protection module using its sampled value.The method is simple, can detect that in whole regional power grid, abnormal current transformer appears in sampled value fast and effectively.
Accompanying drawing explanation
Fig. 1 is the primary system wiring schematic diagram of regional power grid in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described further.
The centralized protective device of regional power grid network by data transmission network as PTN; obtain the real-time sampling value of each current transformer in regional power grid; the A/D sampling of each current transformer is completed by local mounted data acquisition unit; and every frame sampling data are all with sampling sequence number, and in whole electrical network, the data acquisition unit of all current transformers is synchronously sampled.
The embodiment of a kind of sampled data method for detecting abnormality based on regional power grid of the present invention
The centralized protective device of regional power grid network detects the sampled data of each current transformer in electrical network when normal operation, as shown in Figure 1, detects 1#CT, 2#CT to 10#CT successively, to be to be detectedly described for 1#CT below for current.
1. whether the sampled data first detecting 1#CT undergos mutation, and the computing formula detecting sudden change is:
|i a (
k)
-i a (
k-2N)|>1.2×|i a (
k-2N)
-i a (
k-4N)
|+I set （1）
In above formula, i is sampled value, and k is current sampling point, and N is the sampling number of each power frequency period (20ms), and a is A phase, namely for A phase current sampling, and I
setfor sudden change threshold, value is 100A, if formula (1) meets, then carries out following step differentiation, otherwise thinks that 1#CT sampled data is without exception;
2. whether detect directly has the present sample data of other all CT of electric connecting relation to undergo mutation with 1#CT, as 2#CT, 5#CT and 8#CT in Fig. 1, detect mutation method still according to formula (1), if the present sample data of any one CT are undergone mutation in 2#CT, 5#CT and 8#CT, then no longer 1#CT is detected, and it is normal to mark its sampling, otherwise carry out following step differentiation;
3. the current sample values of 2#CT, 5#CT and 8#CT is carried out cumulative summation according to the direction that sensing 1#CT direction is positive polarity, and differentiates whether summation absolute value is greater than sudden change definite value, and discrimination formula is as follows:
|
i a2#CT （
k）+i
a5#CT （
k）+i
a8#CT （
k）|>
I set （2）
In formula (2)
i a2#CT (
k) be the current sample values of the A phase of 2#CT,
i set for sudden change threshold, value is 100A, if formula (2) meets, then thinks that 1#CT sampling is normal, otherwise thinks that 1#CT sampling is abnormal.
By above-mentioned steps, we are easy to detect the sampled data of each current transformer in regional power grid, whether occur exception with the sampled data of each current transformer in the electrical network of judging area.The method is simple, can detect that in whole regional power grid, abnormal current transformer appears in sampled value fast and effectively.
The embodiment of a kind of overcurrent protection method based on regional power grid of the present invention
This overcurrent protection method carries out on the basis of above-mentioned detection method; first need to detect the sampled data of each current transformer in electrical network; then be there is abnormal current transformer in sampled data and exit the relevant protection module using its sampled value; as shown in Figure 1; detect 1#CT, 2#CT to 10#CT successively, to be to be detectedly described for 1#CT for current below.Its concrete step is as follows:
1. whether the sampled data first detecting 1#CT undergos mutation, and the computing formula detecting sudden change is:
|i a (
k)
-i a (
k-2N)|>1.2×|i a (
k-2N)
-i a (
k-4N)
|+I set （1）
In above formula, i is sampled value, and k is current sampling point, and N is the sampling number of each power frequency period (20ms), and a is A phase, namely for A phase current sampling, and I
setfor sudden change threshold, value is 100A, if formula (1) meets, then carries out following step differentiation, otherwise thinks that 1#CT sampled data is without exception;
2. whether detect directly has the present sample data of other all CT of electric connecting relation to undergo mutation with 1#CT, as 2#CT, 5#CT and 8#CT in Fig. 1, detect mutation method still according to formula (1), if the present sample data of any one CT are undergone mutation in 2#CT, 5#CT and 8#CT, then no longer 1#CT is detected, and it is normal to mark its sampling, otherwise carry out following step differentiation;
3. the current sample values of 2#CT, 5#CT and 8#CT is carried out cumulative summation according to the direction that sensing 1#CT direction is positive polarity, and differentiates whether summation absolute value is greater than sudden change definite value, and discrimination formula is as follows:
|
i a2#CT （
k）+i
a5#CT （
k）+i
a8#CT （
k）|>
I set （2）
In formula (2)
i a2#CT (
k) be the current sample values of the A phase of 2#CT,
i set for sudden change threshold, value is 100A, if formula (2) meets, then thinks that 1#CT sampling is normal, otherwise thinks that 1#CT sampling is abnormal;
The centralized protective device of 4 networking will use the relevant protection module of 1#CT out of service immediately, and sends the warning information of " 1#CT samples abnormal ".
Claims (8)
1. based on a sampled data method for detecting abnormality for regional power grid, it is characterized in that: the concrete steps of this detection method are as follows:
1). differentiate whether the sampled value of current transformer to be measured undergos mutation, if there occurs sudden change, carry out following detecting step, otherwise think that the sampling of this current transformer is normal; Judge whether the sampled value of current transformer undergos mutation by a detection formula realization, and this detection formula is:
| i
a(k)-i
a(k-2N) | >1.2 × | i
a(k-2N)-i
a(k-4N) |+I
set, wherein i is sampled value, and k is current sampling point, and N is the sampling number of each power frequency period, and a is the phase of sample rate current, I
setfor sudden change threshold;
2). differentiate therewith current transformer once electrically on have the sampled value of other all current transformer of direct connection relational whether to undergo mutation, if there is no the sampled value phenomenon of undergoing mutation, then carry out following detecting step, otherwise think that the sampling of this current transformer is normal;
3). by all current transformers therewith once electrically on have the real-time sampling value of the current transformer of direct connection relational to carry out the cumulative summation of pointwise, if this cumulative summed result is less than sudden change threshold, then the sampling of this current transformer occurs abnormal, otherwise thinks that the sampling of this current transformer is normal.
2. the sampled data method for detecting abnormality based on regional power grid according to claim 1, is characterized in that: described step 2) in differentiate that the discrimination formula that current transformer has the sampled value of other current transformer of direct connection relational to undergo mutation therewith is: | i
a(k)-i
a(k-2N) | >1.2 × | i
a(k-2N)-i
a(k-4N) |+I
set,
Wherein i is sampled value, and k is current sampling point, and N is the sampling number of each power frequency period, and a is the phase of sample rate current, I
setfor sudden change threshold.
3. the sampled data method for detecting abnormality based on regional power grid according to claim 1, is characterized in that: described step 3) in all and current transformer to be measured once electrically on to have the real-time sampling value of the current transformer of direct connection relational to carry out when pointwise adds up and sue for peace should be carry out adding up and sue for peace in the direction of positive polarity according to the direction pointing to this current transformer to be measured.
4. the sampled data method for detecting abnormality based on regional power grid according to claim 1, is characterized in that: the sampled data of each described current transformer is that synchronized sampling obtains.
5. based on an overcurrent protection method for regional power grid, it is characterized in that: the concrete steps of this guard method are as follows:
1). differentiate whether the sampled value of current transformer to be measured undergos mutation, if there occurs sudden change, carry out following detecting step, otherwise think that the sampling of this current transformer is normal; Judge whether the sampled value of current transformer undergos mutation by a detection formula realization, and this detection formula is:
| i
a(k)-i
a(k-2N) | >1.2 × | i
a(k-2N)-i
a(k-4N) |+I
set, wherein i is sampled value, and k is current sampling point, and N is the sampling number of each power frequency period, and a is the phase of sample rate current, I
setfor sudden change threshold;
2). differentiate therewith current transformer once electrically on have the sampled value of other all current transformer of direct connection relational whether to undergo mutation, if there is no the sampled value phenomenon of undergoing mutation, then carry out following detecting step, otherwise think that the sampling of this current transformer is normal;
3). by all current transformers therewith once electrically on have the real-time sampling value of the current transformer of direct connection relational to carry out the cumulative summation of pointwise, if this cumulative summed result is less than sudden change threshold, then the sampling of this current transformer occurs abnormal, otherwise thinks that the sampling of this current transformer is normal;
4). be there is abnormal current transformer in sampled value and exit the relevant protection module using its sampled value.
6. the overcurrent protection method based on regional power grid according to claim 5, is characterized in that: described step 2) in differentiate that the discrimination formula that current transformer has the sampled value of other current transformer of direct connection relational to undergo mutation therewith is: | i
a(k)-i
a(k-2N) | >1.2 × | i
a(k-2N)-i
a(k-4N) |+I
set, wherein i is sampled value, and k is current sampling point, and N is the sampling number of each power frequency period, and a is the phase of sample rate current, I
setfor sudden change threshold.
7. the overcurrent protection method based on regional power grid according to claim 5, is characterized in that: described step 3) in all and current transformer to be measured once electrically on to have the real-time sampling value of the current transformer of direct connection relational to carry out when pointwise adds up and sue for peace should be carry out adding up and sue for peace in the direction of positive polarity according to the direction pointing to this current transformer to be measured.
8. the overcurrent protection method based on regional power grid according to claim 5, is characterized in that: the sampled data of each described current transformer is that synchronized sampling obtains.
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| CN104330757B (en) * | 2014-10-17 | 2017-01-18 | 国家电网公司 | Method for improving on-line calibration accuracy of AC sampling device |
| CN105005014B (en) * | 2015-07-07 | 2017-11-21 | 南京国电南自电网自动化有限公司 | A kind of combining unit with protective current transformer output abnormality detection function |
| CN111600277B (en) * | 2020-05-21 | 2022-05-17 | 中国南方电网有限责任公司 | Delay calculation method applied to overcurrent protection |
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| US7199991B2 (en) * | 2002-06-27 | 2007-04-03 | Nxt Phase T & D Corporation | Electrical bus protection method & apparatus |
| CN101006350A (en) * | 2004-05-25 | 2007-07-25 | 株式会社村田制作所 | Measurement error correcting method and electronic component characteristic measurement device |
| CN101571891A (en) * | 2008-04-30 | 2009-11-04 | 中芯国际集成电路制造(北京)有限公司 | Method and device for inspecting abnormal data |
| CN102033215A (en) * | 2010-10-21 | 2011-04-27 | 深圳南瑞科技有限公司 | Method for detecting correctness of sampling value of electronic transformer |
| CN201897634U (en) * | 2010-11-20 | 2011-07-13 | 熊江咏 | Portable check meter for electronic mutual inductor |
| CN102184267A (en) * | 2011-04-14 | 2011-09-14 | 上海同岩土木工程科技有限公司 | Abnormal data filtration method for interference elimination of automatic data acquisition system |
-
2011
- 2011-12-24 CN CN201110438479.3A patent/CN102901943B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001109781A (en) * | 1999-10-13 | 2001-04-20 | Toshiba Corp | System for collecting data |
| US7199991B2 (en) * | 2002-06-27 | 2007-04-03 | Nxt Phase T & D Corporation | Electrical bus protection method & apparatus |
| CN101006350A (en) * | 2004-05-25 | 2007-07-25 | 株式会社村田制作所 | Measurement error correcting method and electronic component characteristic measurement device |
| CN101571891A (en) * | 2008-04-30 | 2009-11-04 | 中芯国际集成电路制造(北京)有限公司 | Method and device for inspecting abnormal data |
| CN102033215A (en) * | 2010-10-21 | 2011-04-27 | 深圳南瑞科技有限公司 | Method for detecting correctness of sampling value of electronic transformer |
| CN201897634U (en) * | 2010-11-20 | 2011-07-13 | 熊江咏 | Portable check meter for electronic mutual inductor |
| CN102184267A (en) * | 2011-04-14 | 2011-09-14 | 上海同岩土木工程科技有限公司 | Abnormal data filtration method for interference elimination of automatic data acquisition system |
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