CN104810796A - Method of identifying excitation inrush current on basis of normalized area indexes of variable data window - Google Patents

Method of identifying excitation inrush current on basis of normalized area indexes of variable data window Download PDF

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CN104810796A
CN104810796A CN201510218433.9A CN201510218433A CN104810796A CN 104810796 A CN104810796 A CN 104810796A CN 201510218433 A CN201510218433 A CN 201510218433A CN 104810796 A CN104810796 A CN 104810796A
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data window
current
value
point
variable data
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CN104810796B (en
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王业
袁宇波
高磊
黄浩声
卜强生
宋亮亮
李鹏
嵇建飞
刘屿
宋爽
杨毅
林金娇
孔祥平
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses a method of identifying excitation inrush current on basis of normalized area indexes of a variable data window. According to the method, threshold +Epsilon and threshold -Epsilon are set above and below a time axis, respectively, by means of the variable data window judging algorithm, and a start point of and an end point of the variable data window are determined by means of the thresholds and an extreme value of certain sampling current; in the variable data window selected, according to a sampling interval and data window length, a standard sine curve is virtualized frontward and backward from the extreme value, normalized area indexes of differential areas of the standard sine curve and the sampling current are compared, and thus protection locking and unlocking is achieved. The method has the advantages that inrush current waveform and fault current waveform can be distinguished to the maximum extent, differential protection can be locked quickly and reliably in case of excitation inrush current of a transformer, the differential protection is never mistakenly locked in case of an internal fault, the differential protection can be quickly unlocked in case of no-load closing of the transformer with fault, and transformer saturation resistance is higher.

Description

Based on the magnetizing inrush current discrimination method of variable data window normalized area index
Technical field
The present invention relates to a kind of magnetizing inrush current discrimination method based on variable data window normalized area index, belong to technical field of power systems.
Background technology
At present, existing power transformer, as the critical elements of transformation of electrical energy and transmission, is widely used in power plant and transformer station.Differential protection is the main protection of transformer, and ideally, transformer differential protection is when normal operation and external short circuit, and the electric current flowing into differential relay is zero, and protective device is reliably failure to actuate.But in fact when transformer during no-load closing produces magnetizing inrush current, the large young pathbreaker of magnetizing inrush current reaches several times even tens times of transformer rated current; On the other hand, magnetizing inrush current only flows through the mains side of transformer, and load side is because of open circuit not electric current, and magnetizing inrush current will flow into the differential circuit of longitudinal difference protection completely, makes to create a very large unsymmetrical current in differential relay.So, differentiate that magnetizing inrush current and internal fault current become the key issue strengthening protection reliability.
Summary of the invention
Object: in order to overcome the deficiencies in the prior art, the invention provides a kind of magnetizing inrush current discrimination method based on variable data window normalized area index, by the determination of variable data window, the method, compared with the existing discrimination method that shoves, can distinguish inrush and fault current waveform to a greater degree.
Technical scheme: for solving the problems of the technologies described above, the technical solution used in the present invention is:
A kind of magnetizing inrush current discrimination method based on variable data window normalized area index, it is characterized in that, adopt variable data window distinguished number: on a timeline, threshold value ± ε is set respectively, utilize the extreme value of threshold value and a certain section of sample rate current, extreme value is maximum value or minimum value, determines starting point and the terminating point of variable data window; And in the variable data window selected, according to sampling interval and data window length, fictionalize forward a standard sine curve backward with this extreme value, calculate the normalization index Z of difference area between standard sine curve and sample rate current; Along with the passing of sampled point, algorithm forms multiple variable data window, and each data window can export a normalization index Z, algorithm real-time by normalization index Z and setting value Z setcompare, and then realize locking and the opening of protection.
The described magnetizing inrush current discrimination method based on variable data window normalized area index, is characterized in that:
First according to the virtual out standard sine curve of the extreme point in a certain section, virtual standard sine curve out can be divided into two sections:
First paragraph is the curved section Y in data window between extreme point to data window starting point 1, be formulated as:
Y 1(k 1)=I lim*sin[π/2-2π(N 1-k 1)/N],k 1=1,2,…N 1
Wherein k 1for virtual first paragraph standard sine curve Y out 1discrete point sequence number; I limfor extreme value in data window (maximum value or minimum value), N is a cycle total sampling number, N 1for curved section Y 1interior total data is counted;
Second segment is the curved section Y in data window between extreme point to data window terminating point 2, be formulated as:
Y 2(k 2)=I lim*sin[π/2-2πk 2/N],k 2=1,2,…N 2
Wherein k 2for virtual second segment standard sine curve Y out 2discrete point sequence number, N 2for curved section Y 2interior total data is counted;
Then total standard sine curve can be defined as:
y=[Y 1Y 2]
Make S 1for the area of sample rate current curve and time shaft, S 2for the area of virtual standard sine curve out and time shaft, then S 1with S 2can be expressed as:
S 1 = Σ j = 1 N 3 i ( j )
S 2 = Σ k = 1 N 3 y ( k )
Wherein N 3for Y 1with Y 2data window total length altogether, j is N 3the sampled point sequence number of actual current in data window, k is Y 1with Y 2the discrete point sequence number of total standard sine curve y altogether, i (j) is sample rate current instantaneous value during the sampled point of jth in above-mentioned total data window, total y (k) for the instantaneous value of standard sine curve (its length is exactly total data window length) when kth discrete point.
Make the sampled point sequence number of actual current in this data window corresponding with the discrete point sequence number of standard sine curve y, i.e. j=k, then calculating difference area S between sample rate current and standard sine curve is:
S = Σ k = 1 N 3 | i ( k ) - y ( k ) |
Discriminant criterion is normalized, makes S min=min (S 1, S 2)
Z=S/S min
S minfor S 1, S 2middle smaller, Z is the index that variable data window judges magnetizing inrush current or fault current; Z setfor the setting value of Z;
Along with the passing of sampled point, algorithm forms multiple variable data window, and each data window can export a normalized area index Z, algorithm real-time by this normalized area index Z and certain certain value Z setcompare, as Z>Zset, the current waveform in data window is determined as and shoves; Work as Z during Zset, the current waveform in data window is determined as fault current.
Wherein, choosing of variable data window specifically refers to: arrange threshold value ± ε respectively first on a timeline, if protection sample rate f, and sampling interval T=1/f, each cycle sampling number is N, comprises the following steps:
1) determination of maximum value or minimum value: before the normal and idle-loaded switching-on of system, difference stream should within threshold interval; When stream of being on duty exceeds threshold interval, variable data window distinguished number starts, sampled point when selecting sample rate current to pass threshold interval is as the starting point of first extremum search, and sampled point when selecting sample rate current again to pass this threshold interval is as the terminating point of first extremum search; To the data window of terminating point, first forward maximum I is searched out in the starting point of first extremum search maxor reverse minimum I min, record the sampled value I corresponding to this extreme point limand sampled point sequence number n, in like manner find second extreme point I lim2;
2) determination of variable data window: with first extreme value I limfor basic point is searched for forward backward, first starting point as variable data window after passing from threshold region using electric current in regulation straight line process, the instantaneous value of starting point is I 1, sampled point sequence number is a, and search condition is such as formula (1); If do not leave any sampled point in region, then in straight line process using first after current crosses threshold region as the starting point I of variable data window 1,search condition is such as formula (2), and the algorithm seeking data window starting point is: when
i(j+1)<=|ε|&i(j)>|ε| j=n-1,n-2,n-3… (1)
Or
Time,
Then make a=j, I 1=i (a)
In formula, i is sample rate current instantaneous value, and j is current sample point sequence number, and the sampled point sequence number of the data window starting point after determining is a, and the instantaneous value of data window starting point is I 1, n is extreme value sampled point sequence number, i (n)=I lim;
First terminating point as variable data window after passing from threshold region using electric current in search procedure backward, its instantaneous value is I 2, sampled point sequence number is b, and search condition is such as formula (3); If do not leave any sampled point in region, then same using the sampled point of first after current crosses threshold region as the terminating point I of variable data window in search procedure backward 2, search condition such as formula (4), namely
i(j-1)<=|ε|&i(j)>|ε| j=n+1,n+2,n+3… (3)
Or
Time,
Make b=j, I 2=i (b);
In formula, i is sample rate current instantaneous value, and j is current sample point sequence number, and the sampled point sequence number of the data window terminating point after determining is b, and the instantaneous value of data window terminating point is I 2, n is extreme value sampled point sequence number, i (n)=I lim;
3) first extreme value I is calculated limand I 1between sampling number N 1, comprise I limand I 12 points, fictionalize the first paragraph of standard sine curve, order
Y 1(k 1)=I lim*sin[π/2-2π(N 1-k 1)/N],k 1=1,2,…N 1
Calculate I limand I 2between sampling number N 2, do not comprise I limbut comprise I 2point, fictionalizes the second segment of standard sine curve, order
Y 2(k 2)=I lim*sin[π/2-2πk 2/N],k 2=1,2,…N 2
By sequence Y 1with Y 2splice, order
y=[Y 1Y 2]
4) I is calculated 1, I 2between points N 3, comprise I 1and I 2, make the sampled point sequence number of actual current in this data window corresponding with the discrete point sequence number of standard sine curve y, i.e. j=k, then calculating difference area S between sample rate current and standard sine curve is:
S = &Sigma; k = 1 N 3 | i ( k ) - y ( k ) |
Along with the passing of data window, algorithm exports Z value continuously, and the decision rule that under different situations, Z value exports is as table 1:
The decision rule that under table 1 different situations, Z value exports
That considers with transformer differential protection starting current is supporting, arranges threshold value ± ε, setting ε=0.18I n, I nfor transformer rated current.
Consider the reliability of protection, setting Z set=0.55.
Beneficial effect: the magnetizing inrush current discrimination method based on variable data window normalized area index provided by the invention.The method main innovate point comprises: 1, the ingenious utilization of the method arranges the method for threshold value at zero crossings, solve side that some inrush of oversize transformer is all in time shaft namely so-called not zero passage problem time variable data window On The Choice, this threshold interval is set in addition and also the selection rule of variable data window Algorithms of Selecting under different situations can be unitized.2, by the analysis to Current Waveform Characteristics under different situations, design variable data window Algorithms of Selecting, this algorithm can make variable data window comprise to shove interval angle part when magnetizing inrush current, can make area folded by inrush and virtual standard sine waveform out as far as possible maximum like this; In case of a fault, make area folded by fault current waveform and virtual standard sine waveform out as far as possible minimum.3, successively exported the difference of Z value by variable data window, in conjunction with phase-splitting locking principle, to transformer belt fault idle-loaded switching-on situation, can unblock not even locking fast.4, this algorithm has stronger anti-instrument transformer saturability.
Demonstrated validity and the superiority of technical solution of the present invention by dynamic simulation test, when transformer belt 1.7% shorted-turn fault idle-loaded switching-on, be protected in the open differential protection of 20ms after closing a floodgate, faster than secondary harmonic brake open and protection speed 23 times.And when idle-loaded switching-on instrument transformer is saturated, algorithm still can make the reliable locking of protection.
Accompanying drawing explanation
Fig. 1 is the searching figure of variable data window maximum value or minimum value;
Fig. 2 be the asymmetric variable data window that shoves choose figure;
Fig. 3 be symmetry shove variable data window choose figure;
Fig. 4 be fault current variable data window choose figure;
Fig. 5 be tape jam idle-loaded switching-on variable data window choose figure;
Fig. 6 (a) is normal idle-loaded switching-on segregated phase differential current and (b) Z value output map;
Fig. 7 (a) is for idle-loaded switching-on is in 1.7% shorted-turn fault segregated phase differential current and (b) Z value output map;
Fig. 8 (a) is for idle-loaded switching-on is in internal ground fault segregated phase differential current and (b) Z value output map;
Fig. 9 (a) is Transformer internal ground fault segregated phase differential current and (b) Z value output map;
Figure 10 (a) for idle-loaded switching-on instrument transformer saturated time segregated phase differential current and (b) Z value output map.
Embodiment
Below in conjunction with specific embodiment, the present invention is further described.
As shown in Figures 1 to 10, a kind of magnetizing inrush current discrimination method based on variable data window normalized area index, its method is:
Arrange threshold value ± ε respectively on a timeline, utilize the extreme value of threshold value and a certain section of sample rate current, extreme value is maximum value or minimum value, determines starting point and the terminating point of variable data window; And in the variable data window selected; according to sampling interval and data window length; fictionalize forward a standard sine curve backward with this extreme value, the normalized area index of difference area between standard of comparison sine curve and sample rate current, and then realize locking and the opening of protection.The method can distinguish inrush and fault current waveform to greatest extent, when transformer generation magnetizing inrush current, and can the Blocking Differential Protection of fast and reliable; Blocking Differential Protection is not missed when internal fault; Can also when transformer belt fault idle-loaded switching-on, open differential protection fast; And there is stronger anti-instrument transformer saturability.
Therefore, along with the passing of data window, algorithm exports Z value continuously, can carry out Taxonomic discussion to various situation, provides the decision rule that Z value exports under different situations in table 1:
The decision rule that under table 1 different situations, Z value exports
The present invention can not only when the normal idle-loaded switching-on of transformer fast and reliably Blocking Differential Protection, the not Blocking Differential Protection by mistake when power transformer interior fault, can also when transformer belt fault idle-loaded switching-on open differential protection fast.
Embodiment 1:
A) the choosing of variable data window: process of being chosen by variable data window combines the identification algorithm that shoves and is introduced, and arranges very little threshold value ± ε first on a timeline respectively, if protection sample rate f, sampling interval T=1/f, each cycle sampling number is N; The steps include:
1. the determination of maximum value or minimum value: before the normal and idle-loaded switching-on of system, difference stream should within threshold interval.When stream of being on duty exceeds threshold interval, variable data window distinguished number starts, as shown in Figure 1, sampled point when selecting sample rate current to pass threshold interval is as the starting point of first extremum search, and sampled point when selecting sample rate current again to pass this threshold interval is as the terminating point of first extremum search; In this segment data window, search out first forward maximum or reverse minimum, record the sampled value I corresponding to this extreme point lim(the I in Fig. 1 max) and sampled point sequence number n, in like manner can search out second extreme point I according to above-mentioned rule lim2(the I in Fig. 1 min);
2. (this sentences the maximum I that Fig. 1 first variable data window searches out in the determination of variable data window maxfor example is described): with maximum I maxfor basic point is searched for forward backward, first starting point as variable data window after passing from threshold region using electric current in regulation straight line process, its instantaneous value is I 1, sampled point sequence number is a, and search condition is such as formula (1); If do not leave any sampled point in region, then in straight line process using first after current crosses threshold region as the starting point I of variable data window 1,search condition is such as formula (2), and the algorithm seeking data window starting point is:
When
i(j+1)<=|ε|&i(j)>|ε| j=n-1,n-2,n-3… (1)
Or
Time,
Then make a=j, I 1=i (a)
In formula, i is sample rate current instantaneous value, and j is current sample point sequence number, and the sampled point sequence number of the data window starting point after determining is a, and the instantaneous value of data window starting point is I 1, n is extreme value sampled point sequence number, i (n)=I max;
First terminating point as variable data window after passing from threshold region using electric current in search procedure backward, its instantaneous value is I 2, sampled point sequence number is b, and search condition is such as formula (3); If do not leave any sampled point in region, then same using the sampled point of first after current crosses threshold region as the terminating point I of variable data window in search procedure backward 2, search condition such as formula (4), namely
i(j-1)<=|ε|&i(j)>|ε| j=n+1,n+2,n+3… (3)
Or
Time,
Make b=j, I 2=i (b);
In formula, i is sample rate current instantaneous value, and j is current sample point sequence number, and the sampled point sequence number of the data window terminating point after determining is b, and the instantaneous value of data window terminating point is I 2, n is extreme value sampled point sequence number, i (n)=I max;
3. calculate first extreme value I maxand I 1between sampling number N 1, comprise I maxand I 12 points, fictionalize the first paragraph of standard sine curve, order
Y 1(k 1)=I max*sin[π/2-2π(N 1-k 1)/N],k 1=1,2,…N 1
Calculate I maxand I 2between sampling number N 2, do not comprise I maxbut comprise I 2point, fictionalizes the second segment of standard sine curve, order
Y 2(k 2)=I max*sin[π/2-2πk 2/N],k 2=1,2,…N 2
By sequence Y 1with Y 2splice, order
y=[Y 1Y 2]
4. calculate I 1, I 2between points N 3, comprise I 1and I 2, as shown in Figure 2, make the sampled point sequence number of actual current in this data window corresponding with the discrete point sequence number of standard sine curve y, i.e. j=k, then calculating difference area S between sample rate current and standard sine curve is:
S = &Sigma; k = 1 N 3 | i ( k ) - y ( k ) |
As shown in Figures 2 and 3, asymmetricly to shove and symmetry is shoved in situation, by above algorithm picks data window, owing to containing interval angle part, it is very large that each variable data window hatched area S can become, and algorithm exports larger normalized area index Z continuously.And for internal fault, as shown in Figure 4, S is less for each variable data window hatched area, algorithm exports less normalized area index Z continuously.
For tape jam idle-loaded switching-on, from the partial waveform of electric current, although in saturated section of transformer, magnetizing inrush current is comparatively large, masks the feature of fault current, when transformer exit saturated enter non-saturated area time, electric current will show the feature of fault current.And above-mentioned variable data window selection algorithm has the ability automatically choosing this unsaturation section electric current.As shown in Figure 5; variable data window selection algorithm alternately can to select after tape jam idle-loaded switching-on saturated section of electric current and unsaturation section electric current in the period 1; then alternately export larger and less normalized area index Z continuously; therefore algorithm has the ability to identify tape jam combined floodgate situation completely within a short period of time, allows and protects opening as early as possible.
B) the adjusting of normalized area index and criterion
Due in actual state; protection sample rate is likely inconsistent and data window can be caused different in size by above-mentioned data window selection algorithm; the size of different situations electric current is also different in addition, then under measurement different situations, the index of hatched area size will be inconsistent.In order to head it off, discriminant criterion need be normalized, if
S 1 = &Sigma; j = 1 N 3 i ( j )
S 2 = &Sigma; k = 1 N 3 y ( k )
Wherein N 3for Y 1with Y 2data window total length altogether, j is N 3the sampled point sequence number of actual current in data window, k is Y 1with Y 2the discrete point sequence number of total standard sine curve y altogether, i (j) is sample rate current instantaneous value during the sampled point of jth in above-mentioned total data window, total y (k) for the instantaneous value of standard sine curve (its length is exactly total data window length) when kth discrete point.
Make the sampled point sequence number of actual current in this data window corresponding with the discrete point sequence number of standard sine curve y, i.e. j=k, then calculating difference area S between sample rate current and standard sine curve is:
S = &Sigma; k = 1 N 3 | i ( k ) - y ( k ) |
Discriminant criterion is normalized, makes S min=min (S 1, S 2)
Z=S/S min
S minfor S 1, S 2middle smaller, Z is the index that variable data window judges magnetizing inrush current or fault current; Z setfor the setting value of Z;
Along with the passing of sampled point, algorithm forms multiple variable data window, and each data window can export a normalized area index Z, algorithm real-time by this normalized area index Z and certain certain value Z setcompare, as Z>Zset, the current waveform in data window is determined as and shoves; Work as Z during Zset, the current waveform in data window is determined as fault current.Differentiate that the criterion of fault current and magnetizing inrush current is:
Preferably, that considers with transformer differential protection starting current is supporting, arranges threshold value ± ε, wherein ε=0.18I n, I nfor transformer rated current.Consider the reliability of protection, setting Z set=0.55.
Embodiment 2:
The mode of the present invention's dynamic simulation test is verified algorithm, and dynamic simulation test demonstrates validity and the superiority of the program, when transformer belt 1.7% shorted-turn fault idle-loaded switching-on, is protected in the open differential protection of 20ms after closing a floodgate.Here is the action characteristic analysis of the present invention under each operating mode:
1, the normal idle-loaded switching-on of transformer
Fig. 6 (a) for segregated phase differential current in the normal idle-loaded switching-on situation of transformer, three-phase be A phase, B phase and C phase, segregated phase differential current I a, I band I crepresent with solid line, dotted line and chain-dotted line respectively.From Fig. 6 (a), the idle-loaded switching-on transformer when 0.02s, I in segregated phase differential current aand I bshove for one-sided, have obvious interval angle, and interval angle is larger; I cfor symmetry is shoved, interval angle is less; I bdue to the impact not zero crossing of DC component, so the method for place's setting threshold achieves choosing of variable data window.
Three-phase Z value is respectively Z a, Z band Z c; From Fig. 6 (b), due to I aand I bshove for asymmetric, I cfor symmetry is shoved, therefore in 5 cycles, according to variable data window Algorithms of Selecting, Z aand Z boutput is counted as Z cexport the half of counting.C phase 6ms after idle-loaded switching-on exports first Z value and is greater than Z set, A phase and B phase be criterion 24ms Blocking Differential Protection after idle-loaded switching-on respectively algorithmically.
2, idle-loaded switching-on is in the slight shorted-turn fault of transformer
Fig. 7 (a) is the segregated phase differential current of idle-loaded switching-on transformer star side A phase 1.7% shorted-turn fault.Because little turn ratio short trouble occurs A phase, fault current exists with shoving simultaneously, and fault current is comparatively slight, so difference stream is form of shoving at transformer saturated section of main manifestations, and in transformer unsaturation section, then poor stream shows as the feature of fault current completely.Utilize variable data window distinguished number to extract the variable data window with shove feature and fault signature respectively, then three-phase Z value exports as shown in Fig. 7 (b).
Exported from Fig. 7 (b), A phase Z value and all present the form fluctuated up and down, this is because A difference stream is alternately divided into the data window showing feature of shoving and the data window showing fault signature continuously.Shove in the data window of feature showing, Z value exports all larger; And in the data window showing fault signature, difference stream waveform and standard sine wave is closely similar, therefore the output of Z value is all less.First Z value point that A phase exports during 13ms after idle-loaded switching-on, be judged to and shove, A phase carries out locking rapidly; But when 20ms, export second Z value point, be less than Z set, be identified as fault current, according to table 1 decision rule, now A phase open and protection rapidly, owing to adopting phase-splitting locking principle, differential protection can action rapidly.Under identical test current conditions, secondary harmonic brake scheme is about 460ms open and protection after idle-loaded switching-on.
3, idle-loaded switching-on is in inside transformer earth fault
Fig. 8 (a) is idle-loaded switching-on transformer star side A phase internal ground fault.Because comparatively catastrophe failure occurs A phase, then I aand I cdifference stream main manifestations is fault current feature, and I bstill there is larger magnetizing inrush current feature.
From Fig. 8 (b), due to the impact by fault current composition, Z aand Z coutput is less than Z set.And I bowing to still showing feature of shoving, therefore Z bexport and be still greater than Z set.And owing to adopting phase-splitting latching logic, therefore A phase and C phase can not lockings after idle-loaded switching-on, differential protection can action rapidly.
4, inside transformer earth fault in running
Fig. 9 (a) is transformer star side A phase earth fault in operation, and segregated phase differential current all presents sinusoidal waveform feature.
From Fig. 9 (b), owing to there is internal ground fault, three-phase Z value all exports twice in one-period, and output valve is all much smaller than set point Z set, protection can not locking.
5, CT saturation during idle-loaded switching-on
Figure 10 (a) is segregated phase differential current when instrument transformer under idle-loaded switching-on occurs saturated, shoves less, therefore do not occur saturated because B is symmetrical, and A phase and C phase all occur saturated, shove and to decline rapidly when instrument transformer occurs saturated, and produce reverse charging electric current, interval angle disappears.Under Figure 10 (b) provides this situation, three-phase Z value exports, and visible A phase and C phase are due to saturated, and Z value is less than the output in the unsaturated situation of Figure 10 (b) instrument transformer, but three-phase Z value exports all at Z setabove, thus protection can reliably locking.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (6)

1. the magnetizing inrush current discrimination method based on variable data window normalized area index, it is characterized in that, adopt variable data window distinguished number: on a timeline, threshold value ± ε is set respectively, utilize the extreme value of threshold value and a certain section of sample rate current, extreme value is maximum value or minimum value, determines starting point and the terminating point of variable data window; And in the variable data window selected, according to sampling interval and data window length, fictionalize forward a standard sine curve backward with this extreme value, calculate the normalization index Z of difference area between standard sine curve and sample rate current; Along with the passing of sampled point, algorithm forms multiple variable data window, and each data window can export a normalization index Z, algorithm real-time by normalization index Z and setting value Z setcompare, and then realize locking and the opening of protection.
2. the magnetizing inrush current discrimination method based on variable data window normalized area index according to claim 1, is characterized in that:
First according to the virtual out standard sine curve of the extreme point in a certain section, virtual standard sine curve out can be divided into two sections:
First paragraph is the curved section Y in data window between extreme point to data window starting point 1, be formulated as:
Y 1(k 1)=I lim*sin[π/2-2π(N 1-k 1)/N],k 1=1,2,…N 1
Wherein k 1for virtual first paragraph standard sine curve Y out 1discrete point sequence number; I limfor extreme value in data window (maximum value or minimum value), N is a cycle total sampling number, N 1for curved section Y 1interior total data is counted;
Second segment is the curved section Y in data window between extreme point to data window terminating point 2, be formulated as:
Y 2(k 2)=I lim*sin[π/2-2πk 2/N],k 2=1,2,…N 2
Wherein k 2for virtual second segment standard sine curve Y out 2discrete point sequence number, N 2for curved section Y 2interior total data is counted;
Then total standard sine curve can be defined as:
y=[Y 1Y 2]
Make S 1for the area of sample rate current curve and time shaft, S 2for the area of virtual standard sine curve out and time shaft, then S 1with S 2can be expressed as:
S 1 = &Sigma; j = 1 N 3 i ( j )
S 2 = &Sigma; j = 1 N 3 y ( k )
Wherein N 3for Y 1with Y 2data window total length altogether, j is N 3the sampled point sequence number of actual current in data window, k is Y 1with Y 2the discrete point sequence number of total standard sine curve y altogether, i (j) is sample rate current instantaneous value during the sampled point of jth in above-mentioned total data window, total y (k) for the instantaneous value of standard sine curve (its length is exactly total data window length) when kth discrete point.
Make the sampled point sequence number of actual current in this data window corresponding with the discrete point sequence number of standard sine curve y, i.e. j=k, then calculating difference area S between sample rate current and standard sine curve is:
S = &Sigma; k = 1 N 3 | i ( k ) - y ( k ) |
Discriminant criterion is normalized, makes S min=min (S 1, S 2)
Z=S/S min
S minfor S 1, S 2middle smaller, Z is the index that variable data window judges magnetizing inrush current or fault current; Z setfor the setting value of Z;
Along with the passing of sampled point, algorithm forms multiple variable data window, and each data window can export a normalized area index Z, algorithm real-time by this normalized area index Z and certain certain value Z setcompare, as Z>Zset, the current waveform in data window is determined as and shoves; Work as Z during Zset, the current waveform in data window is determined as fault current.
3. the magnetizing inrush current discrimination algorithm based on variable data window according to claim 2; it is characterized in that: choosing of variable data window specifically refers to: first on a timeline, threshold value ± ε is set respectively; if protection sample rate f; sampling interval T=1/f; each cycle sampling number is N, comprises the following steps:
1) determination of maximum value or minimum value: before the normal and idle-loaded switching-on of system, difference stream should within threshold interval; When stream of being on duty exceeds threshold interval, variable data window distinguished number starts, sampled point when selecting sample rate current to pass threshold interval is as the starting point of first extremum search, and sampled point when selecting sample rate current again to pass this threshold interval is as the terminating point of first extremum search; To the data window of terminating point, first forward maximum I is searched out in the starting point of first extremum search maxor reverse minimum I min, record the sampled value I corresponding to this extreme point limand sampled point sequence number n, in like manner find second extreme point I lim2;
2) determination of variable data window: with first extreme value I limfor basic point is searched for forward backward, first starting point as variable data window after passing from threshold region using electric current in regulation straight line process, the instantaneous value of starting point is I 1, sampled point sequence number is a, and search condition is such as formula (1); If do not leave any sampled point in region, then in straight line process using first after current crosses threshold region as the starting point I of variable data window 1,search condition is such as formula (2), and the algorithm seeking data window starting point is:
When
i(j+1)<=|ε|&i(j)>|ε| j=n-1,n-2,n-3… (1)
Or
Time,
Then make a=j, I 1=i (a)
In formula, i is sample rate current instantaneous value, and j is current sample point sequence number, and the sampled point sequence number of the data window starting point after determining is a, and the instantaneous value of data window starting point is I 1, n is extreme value sampled point sequence number, i (n)=I lim;
First terminating point as variable data window after passing from threshold region using electric current in search procedure backward, its instantaneous value is I 2, sampled point sequence number is b, and search condition is such as formula (3); If do not leave any sampled point in region, then same using the sampled point of first after current crosses threshold region as the terminating point I of variable data window in search procedure backward 2, search condition such as formula (4), namely
i(j-1)<=|ε|&i(j)>|ε| j=n+1,n+2,n+3… (3)
Or
Time,
Make b=j, I 2=i (b);
In formula, i is sample rate current instantaneous value, and j is current sample point sequence number, and the sampled point sequence number of the data window terminating point after determining is b, and the instantaneous value of data window terminating point is I 2, n is extreme value sampled point sequence number, i (n)=I lim;
3) first extreme value I is calculated limand I 1between sampling number N 1, comprise I limand I 12 points, fictionalize the first paragraph of standard sine curve, order
Y 1(k 1)=I lim*sin[π/2-2π(N 1-k 1)/N],k 1=1,2,…N 1
Calculate I limand I 2between sampling number N 2, do not comprise I limbut comprise I 2point, fictionalizes the second segment of standard sine curve, order
Y 2(k 2)=I lim*sin[π/2-2πk 2/N],k 2=1,2,…N 2
By sequence Y 1with Y 2splice, order
y=[Y 1Y 2]
4) I is calculated 1, I 2between points N 3, comprise I 1and I 2, make the sampled point sequence number of actual current in this data window corresponding with the discrete point sequence number of standard sine curve y, i.e. j=k, then calculating difference area S between sample rate current and standard sine curve is:
S = &Sigma; k = 1 N 3 | i ( k ) - y ( k ) | .
4. the magnetizing inrush current discrimination method based on variable data window normalized area index according to claim 2, it is characterized in that: along with the passing of data window, algorithm exports Z value continuously, and the decision rule that under different situations, Z value exports is as table 1:
The decision rule that under table 1 different situations, Z value exports
5. the magnetizing inrush current discrimination method based on variable data window normalized area index according to claim 2, is characterized in that: that considers with transformer differential protection starting current is supporting, arranges threshold value ± ε, setting ε=0.18I n, I nfor transformer rated current.
6. the magnetizing inrush current discrimination method based on variable data window normalized area index according to claim 2, is characterized in that: the reliability considering protection, setting Z set=0.55.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106129966A (en) * 2016-07-15 2016-11-16 华北电力大学 The method and device preventing transformer differential protection malfunction based on coefficient of kurtosis
CN106655097A (en) * 2017-01-09 2017-05-10 湖南大学 Magnetizing inrush current identification method for power transformer
CN112526338A (en) * 2020-11-24 2021-03-19 重庆理工大学 Novel synchronous time window excitation power unit online fault diagnosis method
CN112905958A (en) * 2021-01-27 2021-06-04 南京国电南自电网自动化有限公司 Short-time data window telemetry data state identification method and system based on measurement and control device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101257208A (en) * 2007-12-21 2008-09-03 清华大学 Method for identifying transformer excitation surge current
CN103633622A (en) * 2013-12-11 2014-03-12 国家电网公司 Method and system for ultra-high voltage regulating transformer excitation inrush current identification
CN105137220A (en) * 2015-07-20 2015-12-09 贵州电网有限责任公司电力调度控制中心 Current transformer saturation detection method based on waveform area ratio method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101257208A (en) * 2007-12-21 2008-09-03 清华大学 Method for identifying transformer excitation surge current
CN103633622A (en) * 2013-12-11 2014-03-12 国家电网公司 Method and system for ultra-high voltage regulating transformer excitation inrush current identification
CN105137220A (en) * 2015-07-20 2015-12-09 贵州电网有限责任公司电力调度控制中心 Current transformer saturation detection method based on waveform area ratio method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张凯等: "基于最值差别的归一化面积识别励磁涌流方法研究", 《电力科学与工程》 *
王业等: "采用自适应数据窗电流的励磁涌流鉴别方法", 《中国电机工程学报》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106129966A (en) * 2016-07-15 2016-11-16 华北电力大学 The method and device preventing transformer differential protection malfunction based on coefficient of kurtosis
CN106129966B (en) * 2016-07-15 2018-07-31 华北电力大学 The method and device for preventing transformer differential protection malfunction based on coefficient of kurtosis
CN106655097A (en) * 2017-01-09 2017-05-10 湖南大学 Magnetizing inrush current identification method for power transformer
CN106655097B (en) * 2017-01-09 2018-08-17 湖南大学 Power transformer excitation surge current recognition methods
CN112526338A (en) * 2020-11-24 2021-03-19 重庆理工大学 Novel synchronous time window excitation power unit online fault diagnosis method
CN112905958A (en) * 2021-01-27 2021-06-04 南京国电南自电网自动化有限公司 Short-time data window telemetry data state identification method and system based on measurement and control device
CN112905958B (en) * 2021-01-27 2024-04-19 南京国电南自电网自动化有限公司 Short-time data window telemetry data state identification method and system based on measurement and control device

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