CN106405267B - A kind of fault detection method in wide area backup protection system - Google Patents
A kind of fault detection method in wide area backup protection system Download PDFInfo
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- CN106405267B CN106405267B CN201610597865.XA CN201610597865A CN106405267B CN 106405267 B CN106405267 B CN 106405267B CN 201610597865 A CN201610597865 A CN 201610597865A CN 106405267 B CN106405267 B CN 106405267B
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- 238000001514 detection method Methods 0.000 title claims abstract description 22
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- 238000004458 analytical method Methods 0.000 claims description 19
- 238000000605 extraction Methods 0.000 claims description 7
- 239000011159 matrix material Substances 0.000 claims description 7
- 238000012512 characterization method Methods 0.000 claims description 5
- 238000010606 normalization Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 claims description 2
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- 101100128621 Caenorhabditis elegans bus-18 gene Proteins 0.000 description 5
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The present invention relates to the fault detection methods in a kind of wide area backup protection system; acquire the wide area measurement information in Operation of Electric Systems; using voltage acquisition vector and/or current acquisition vector as primitive attribute variable, and strong gaussian random is added to the primitive attribute variable and is interfered.The method of the present invention has very strong anti-interference ability, disclosure satisfy that the requirement of system redundancy;It disclosure satisfy that requirement of the wide area backup protection system to fault location real-time and accuracy;With clear thinking, advantage easy to operate.
Description
Technical field
The invention belongs to distribution technique fields, and in particular to it is adaptive serving wide area under strong Gaussian noise background for one kind
Answer the fault detection method of backup protection system for damping.
Background technology
A wide range of interconnection Complex Power Network requires electric system to have very high stability, in order to ensure electric system
Safe and stable operation, the failure in system allows for quickly, accurately and reliably being cut off, and the moment is wanted to avoid the occurrence of sternly
The system disturbance of weight.As the protection system of new generation based on wide area measurement and wide-area communication, depends on computer and lead to
The safety and stability problem of the development of letter technology, Wide area protection system and large-scale interconnected power system is closely related.Consider
The safety of system and the safety of electrical equipment, in system jam or abnormal conditions, wide area protection not only it has to be ensured that
The safety of electrical equipment will more ensure the stable operation of electric system, to realize relay protection simultaneously and automatically control double
Weight function.
The operating experience of electric system for many years shows quickly to cut off failure, reduces fault current to the impact of system always
It is to ensure the most effective means of power system security stable operation.Since the actuation time of traditional back-up protection is long, cooperation is complicated,
Complicated electric power system can be further increased to introduce back-up protection and constitute wide area backup protection system Wide-area Measurement Information
Safety and stability performance.In the adaptive backup protection system for damping of wide area, most crucial problem is how to realize fast and accurately event
Hinder element positioning, yet further cut off fault current, to reduce the impact to whole system.Protection as complete set
Scheme, wide area protection can not only provide corresponding element protection, and can ensure the safe and stable operation of system.In wide area
In adaptive guard system, relay protection and automatic control device can combine together, and mutual cooperation and coordination.
Then, in order to ensure interconnecting the safe and stable operation of Complex Power Network on a large scale, the adaptive back-up protection system of wide area is served
The fault detection method of system just becomes the urgent problem to be solved faced in relation to technical staff.
Invention content
The technical problem to be solved by the invention is to provide one kind under the interference of strong gaussian random, and it is adaptive to serve wide area
The fault detection method of backup protection system for damping is answered, fast and accurately fault element positions to realize, to ensure electric system
Safe and stable operation.
The present invention solve its technical problem the technical solution adopted is that:
A kind of fault detection method in wide area backup protection system, the described method comprises the following steps:
A. the wide area measurement information in electric system actual moving process is utilized, using voltage acquisition vector and/or electric current
Acquisition vector has fully considered the influence of gaussian random interference, the primitive attribute variable acquired as original attribute variable
In, additional strong gaussian random interference goes to step b;
B. the contingency table that attached the lower primitive attribute variable of strong gaussian random interference is calculated, c is gone to step;
C. the contingency table of the primitive attribute variable of additional strong gaussian random interference is standardized, and calculates normalized matrix,
Go to step d;
D. the row section and row section for calculating normalization primitive attribute variable contingency table, go to step e;
E. it is based respectively on the row and column section of normalization primitive attribute variable contingency table, calculates data conversion matrix, turn
Step f;
F. if the dimension n of characterization electrical quantity acquisition information is more than the dimension of characterization acquisition time information, then go to step
Otherwise g goes to step h;
G. it is based primarily upon electrical quantity acquisition information and the factor of electrical quantity is extracted using the method for extracting feature based on the factor
Feature goes to step i;In fault detection method in wide area backup protection system, extracted based on electrical quantity acquisition information
Ratio characteristics will combine total inertia I1It further determines that;
H. it is based primarily upon time acquisition information and the factor of time information is extracted using the method for extracting feature based on the factor
Feature goes to step j;In fault detection method in wide area backup protection system, the factor extracted based on time information is special
Sign, will combine total inertiaIt further determines that;
I. total inertia I is calculated1, go to step k;
J. total inertia is calculated, go to step l;
K. the common factor feature for calculating simultaneously extraction system failure, goes to step m;Failure in wide area backup protection system
In detection method, according to total inertia I1It determines the required corresponding dimension of feature extraction, and under corresponding dimension, determines related
The corresponding dimension scores of maximum of element, and thereby determine that the common factor feature that information is acquired based on electrical quantity;
L. the common factor feature for calculating simultaneously extraction system failure, goes to step m;Failure in wide area backup protection system
In detection method, according to total inertiaIt determines the required corresponding dimension of feature extraction, and under corresponding dimension, determines related
The corresponding dimension scores of maximum of element, and thereby determine that the common factor feature based on time information;
M. the resultant fault feature for calculating primitive attribute variable, goes to step n;
N. integrate fault signature above-mentioned, be finally completed complicated electric power system quickly and accurately fault detect be isolated.
Further, the fault detection method in wide area backup protection system, comprehensive two classes are based respectively on electrically in step m
The fault signature of amount and acquisition time information, can be unified in the failure detection result finally realized, if two category feature knots
Fruit is inconsistent, then reselects primitive attribute variable.
Further, the fault detection method in wide area backup protection system, to avoid umber of defectives in information gathering process
According to influence, the primitive attribute variable of corresponding selection, carry out missing values analysis;If there is no missing values, then after continuing
Continuous signature analysis;Otherwise, missing values are first supplied, then carry out subsequent analysis.
Further, the fault detection method in wide area backup protection system, the primitive attribute variable are asymmetric short
In phase voltage, negative sequence voltage, positive sequence voltage, phase current, negative-sequence current, forward-order current, symmetrical short-circuit failure in the failure of road
Positive sequence voltage and forward-order current.
The present invention serves primarily in wide area backup protection system, by fully considering the influence of strong gaussian random interference, carries
A kind of failure detection schemes based on Wide Area Measurement System real-time measurement information are gone out.The method described in the present invention has very strong
Anti-interference ability disclosure satisfy that the requirement of system redundancy.The method described in the present invention disclosure satisfy that wide area backup protection system
Requirement to fault location real-time and accuracy.In addition, the present invention also has clear thinking, simple operation and other advantages.
Description of the drawings
Fig. 1 is the fault detect flow chart in wide area backup protection system under the interference of strong gaussian random.
Fig. 2 is the ieee standard detecting system in embodiment.
Fig. 3 is the fault detect Comprehensive analysis results in wide area backup protection system.
In attached drawing, n, electrical quantity acquires the dimension of information;, the dimension of acquisition time information;, data conversion matrix.
Specific implementation mode
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, implement below in conjunction with the present invention
The drawings and specific embodiments in example, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that
Described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the implementation in the present invention
Example, every other embodiment obtained by those of ordinary skill in the art without making creative efforts belong to
The scope of protection of the invention.
The present invention proposes the fault detection method in a kind of wide area backup protection system.Key technology is to fully consider
Random disturbances under strong Gaussian noise background are based respectively on electrical quantity acquisition information and temporal information extraction fault signature, then lead to
Integrated treatment is crossed, it is final to realize reliable, quickly and accurately fault detect.
According to the flow chart of Fig. 1, table 1 is to be directed to ieee standard detecting system(The ieee standard detecting system such as Fig. 2),
It carries out in original electrical amount information gathering process, the strong gaussian random disturbance being attached on node negative sequence voltage.It is marked for IEEE
Quasi- detecting system pre-sets single-phase grounding fault at one, and node 18 is actual abort situation, imitative by BPA
Very, each period corresponds to the primary corresponding variate-value of output in electric quantity information gatherer process, then the node negative phase-sequence of actual measurement is electric
Pressure information further adds strong gaussian random interference, as shown in table 1, then be based respectively on electrical quantity acquisition information and when
Between information extract fault signature respectively.
The strong gaussian random interference being attached in 1 ieee standard detecting system of table on node negative sequence voltage
Table 2 is the summarized results of inertia analysis.In the present embodiment, by the row profile of computational representation electric quantity information and
The row profile for characterizing temporal information, may further be calculated the summarized results of related inertia analysis, wherein be calculated
Total inertia is 0.457, and the first latitude variable accounts for the 74.2% of total inertia, and the second latitude variable accounts for total inertia
25.3%, and the variable of the first two dimension has accounted for the 99.5% of total inertia, and therefore, we are in the process for extracting fault signature
In, it is carried out mainly for the variable of the two dimensions.
2 inertia analysis summary of table is analyzed
By the loading matrix of fault compression, by rotation appropriate, we can obtain general I class failure because
Subcharacter:Factor coefficient.Table 3 is the Factor load-matrix under asymmetry short circuit fault.
It further calculates to obtain the scores that each node corresponds to the first latitude and the second latitude.Table 3 is based on node
The row analysis feature of negative sequence voltage, and it is based on the first dimension, in the score of the first all dimensions, BUS18 nodes
3.184 are scored at, is that whole nodes is maximum in the score of the first dimension, is based on this, it is possible to determine that BUS18 is as preliminary
Abort situation.
Row analysis based on node negative sequence voltage in 3 ieee standard detecting system of table
During resultant fault tests and analyzes, the second latitude feature of corresponding time also contains abundant about being
The information for failure of uniting.Table 4 is the row analysis result based on node negative sequence voltage in ieee standard detecting system.
Here the starting point is to characterize the second latitude of time, and calculating knot of the moment in relation to row is acquired according to characterization information
Fruit, it can be seen that the TIME1 moment is scored at 1.302 based on the second dimension, is similarly maximum in corresponding second dimension scores
, then, we can be determined that, failure is to terminate the time that the TIME2 moment starts in other words at the TIME1 moment, should
Analysis result fits like a glove with actual conditions.
Row analysis based on node negative sequence voltage in 4 ieee standard detecting system of table
Fault detection method in a kind of wide area backup protection system, in the present embodiment, according to above first dimension
With the result of calculation of the second latitude, analysis result may finally be incorporated into the Comprehensive analysis results of Fig. 3.Fig. 3 is after wide area
Fault detect Comprehensive analysis results in standby protection system.It is in analysis chart 3 as a result, it may be concluded that BUS18 with other section
There are significant differences for point, are exact abort situation;And BUS18 has been mainly distributed in the range of TIME2, therefore, can be with
Judgement, the system failure should be happened at the BUS18 nodes at TIME2 moment, this conclusion and actual conditions are completely the same.Then,
We realize complete quick, accurate, reliable fault detect.
Claims (4)
1. the fault detection method in a kind of wide area backup protection system, which is characterized in that wide in acquisition Operation of Electric Systems
Domain measurement information, using voltage acquisition vector and/or current acquisition vector as primitive attribute variable, and to the primitive attribute
Variable adds strong gaussian random interference;
Specifically include following steps:
A. the wide area measurement information in electric system actual moving process is utilized, using voltage acquisition vector and/or current acquisition
Vector is as original attribute variable, and in the primitive attribute variable acquired, additional strong gaussian random interference goes to step b;
B. the contingency table that attached the lower primitive attribute variable of strong gaussian random interference is calculated, c is gone to step;
C. the contingency table of the primitive attribute variable of additional strong gaussian random interference is standardized, and calculates normalized matrix, turn step
Rapid d;
D. the row section and row section for calculating normalization primitive attribute variable contingency table, go to step e;
E. it is based respectively on the row and column section of normalization primitive attribute variable contingency table, calculates data conversion matrix, go to step
f;
F. if the dimension of characterization electrical quantity acquisition informationMore than the dimension of characterization acquisition time information, then g is gone to step, it is no
Then, h is gone to step;
G. it is based on electrical quantity and acquires information, extract the ratio characteristics of electrical quantity, go to step i;
H. it is based on time acquisition information, the ratio characteristics of time information is extracted, goes to step j;
I. total inertia is calculated, go to step k;
J. total inertia is calculated, go to step l;
K. the common factor feature for calculating simultaneously extraction system failure, goes to step m;
L. the common factor feature for calculating simultaneously extraction system failure, goes to step m;
M. the resultant fault feature for calculating primitive attribute variable, goes to step n;
N. integrate fault signature above-mentioned, be finally completed complicated electric power system quickly and accurately fault detect be isolated.
2. the fault detection method in a kind of wide area backup protection system according to claim 1, which is characterized in that step
Resultant fault described in m is characterized as the comprehensive fault signature for being based respectively on electrical quantity and acquiring time information, if two category features
As a result inconsistent, then reselect primitive attribute variable.
3. the fault detection method in a kind of wide area backup protection system according to claim 1, which is characterized in that step
In a, the primitive attribute variable of corresponding selection carries out missing values analysis;If there is no missing values, then continue subsequent spy
Sign analysis;Otherwise, missing values are first supplied, then carry out subsequent analysis.
4. the fault detection method in a kind of wide area backup protection system according to claim 1, which is characterized in that described
Primitive attribute variable is phase voltage, negative sequence voltage, positive sequence voltage, phase current, negative-sequence current, positive sequence in asymmetry short circuit fault
Electric current, positive sequence voltage and forward-order current in symmetrical short-circuit failure.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101202451A (en) * | 2007-12-13 | 2008-06-18 | 南方电网技术研究中心 | System for controlling wide area damp of electrical power system and method thereof |
CN102508061A (en) * | 2011-10-22 | 2012-06-20 | 东北电力大学 | Power shortage estimation method based on wide area phasor measurement system |
CN103472362A (en) * | 2013-09-23 | 2013-12-25 | 华北电力大学(保定) | Method for extracting embedded fault features in WAMS information of electric power system |
CN104502800A (en) * | 2014-12-17 | 2015-04-08 | 华北电力大学(保定) | Extraction method of fault factor characteristics of electrical power system |
CN204405784U (en) * | 2015-01-16 | 2015-06-17 | 国家电网公司 | Based on the Distribution Network Failure detection and location device of wide area measurement information |
CN104931848A (en) * | 2015-03-01 | 2015-09-23 | 华北电力大学(保定) | Electric power system line fault discrimination method based on wide-area measurement information |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101661069B (en) * | 2009-09-25 | 2011-07-20 | 北京四方继保自动化股份有限公司 | Dynamic process real-time estimation method of weak observable non-PMU measuring point independent of state matrix |
CN105092999B (en) * | 2014-05-19 | 2017-12-12 | 罗克韦尔自动化技术公司 | Positioned using the power quality events of multiple instructions |
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2016
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101202451A (en) * | 2007-12-13 | 2008-06-18 | 南方电网技术研究中心 | System for controlling wide area damp of electrical power system and method thereof |
CN102508061A (en) * | 2011-10-22 | 2012-06-20 | 东北电力大学 | Power shortage estimation method based on wide area phasor measurement system |
CN103472362A (en) * | 2013-09-23 | 2013-12-25 | 华北电力大学(保定) | Method for extracting embedded fault features in WAMS information of electric power system |
CN104502800A (en) * | 2014-12-17 | 2015-04-08 | 华北电力大学(保定) | Extraction method of fault factor characteristics of electrical power system |
CN204405784U (en) * | 2015-01-16 | 2015-06-17 | 国家电网公司 | Based on the Distribution Network Failure detection and location device of wide area measurement information |
CN104931848A (en) * | 2015-03-01 | 2015-09-23 | 华北电力大学(保定) | Electric power system line fault discrimination method based on wide-area measurement information |
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