CN109840355A - A kind of identification of electronic current mutual inductor abnormal data and restorative procedure - Google Patents
A kind of identification of electronic current mutual inductor abnormal data and restorative procedure Download PDFInfo
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Abstract
The present invention provides identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data, in disorder data recognition, using the relationship of "or", it is rewritten to original based on waveform continuous type abnormal data criterion, simultaneously, use Kirchhoff's current law (KCL) as subsidiary conditions, when the electric current phasor for the route being connected on same bus is with Kirchhoff's current law (KCL) is met, it is believed that exist without abnormal data；When Kirchhoff's current law (KCL) is unsatisfactory for, assert there are abnormal data, so that starting identifies abnormal data based on improved successional abnormal data distinguished number and repair to it that two item datas repair abnormal data after.The present invention is it is possible to prevente effectively from the case where abnormal data is failed to judge appearance; simultaneously effective avoid the possibility that the neighbouring normal data of abnormal data is mistaken for abnormal data; it is simple that calculating is repaired simultaneously, therefore can achieve very high level in speed, meets the requirement of relay protection system quick-action.
Description
Technical field
The present invention relates to a kind of identification of electronic current mutual inductor abnormal data and restorative procedures, belong to current transformer
Detection technique field.
Background technique
The abnormal data of electronic current mutual inductor may generate grave danger to the normal work of relay protection system, this
The stable operation of power grid will be had a huge impact, while can also bring economic loss and bad power-using body to user
It tests.Although the abnormal data of electronic current mutual inductor shows as a catastrophe point in sampled value, one is shown as on waveform
A spike, but its quality position, labeled as normally, this electrical secondary system for allowing for substation can still be come as normal data
It is handled, this is also that abnormal data is difficult to and endangers a huge major reason.The purpose of disorder data recognition is
It is accurately to identify abnormal data, so that temporary blocking relay protection system, malfunctions, together to avoid relay protection system
When for data repair algorithm carry out abnormal data positioning.
Important leverage of the relay protection system as safe operation of power system, reliably working have the operation of power grid
Important meaning.The appearance of abnormal data has randomness, unrelated with the state of electric system and the method for operation etc., or even in electricity
When net breaks down, it is likely to abnormal data occur in fault waveform.Further, since the data that the moment occurs for failure equally can
It is mutated, it is thus impossible to judge that signal for abnormal signal, otherwise can make failure only according to this feature is mutated
The data that the moment occurs are judged as abnormal data, cause protection to be accidentally latched, so as to cause serious consequence.Relay protection system
The quick-action of system, it is desirable that it must make a response and handle in short time after the failure occurred.The identification of abnormal data as a result,
Also it must be completed in a short time, otherwise can hinder relay protection system quick acting.Meanwhile although abnormal data identification
Algorithm calculation amount is simultaneously little, if but moment progress abnormal data judgement calculating, many computing resources can be wasted, processor is increased
Burden, while being also to be not necessarily to.
After identifying abnormal data, the reparation of abnormal data is equally particularly significant.If only marking the data as exception simultaneously
It is abandoned, then abnormal data goes out the signal of the data window length after current moment when calculating amplitude and phasor, by face
The problem of facing a scarce sampled point, therefore the reparation of abnormal data is very important.In view of this algorithm is applied to relay
In protection system, therefore repairing speed will be a very important factor.Although the intelligent algorithm based on neural network etc.
The accuracy of calculating is very high, but its calculate used time often all close to one second (a 64 bit manipulation system of configuration 4G memory with
Obtained on the computer of Intel i5 processor using MATLAB software test), this is clearly not meet what quick-action required.
Summary of the invention
The purpose of the present invention is to provide a kind of electronic current mutual inductor disorder data recognition and restorative procedure, abnormal numbers
According to identification be that the leakage to abnormal data is easy to happen when there is continuous abnormal data to occur in order to overcome under existing background technique
The case where sentencing situation, and abnormal neighbouring normal data be mistaken for abnormal data.The reparation of abnormal data overcomes existing back
Underspeed is repaired under scape technology, is unable to satisfy the requirement of system quick-action, while ensure that required precision.
In order to achieve the above objectives, the present invention adopts the following technical scheme:
A kind of identification of electronic current mutual inductor abnormal data and restorative procedure, comprising the following steps:
1) it is directed to the monitoring point of current transformer, acquires current information；
2) phasor value of Fourier algorithm calculating current is utilized；
3) judge whether the bus protection of the connected bus of route acts, if bus protection acts, be transferred to step 5), otherwise
Execute step 4)；
4) differentiate that route whether there is abnormal data based on Kirchhoff's current law (KCL), then follow the steps if it exists 5)；
5) every route is detected based on waveform continuous type abnormal data criterion using improved；
6) abnormal data is judged whether there is, if being no different regular data, open its relay protection system, otherwise executes step
It is rapid 7)；
7) for there is the route of abnormal data, by its relay protection system of temporary blocking and abnormal data is repaired,
Determine whether protection acts according to the result after reparation.
In aforementioned step 4), it is based on Kirchhoff's current law (KCL), if the electric current phasor of the connected each route of bus
Be zero, then it is assumed that there is no abnormal data in route.
In aforementioned step 5), using the relationship of "or", changed to original based on waveform continuous type abnormal data criterion
It writes.
It is above-mentioned original based on waveform continuous type abnormal data criterion are as follows:
Wherein, Δ f (N) is the Sudden Changing Rate of sampled point N, and Δ f (N-1) is the Sudden Changing Rate of sampled point N-1, and Δ f (N+1) is to adopt
The Sudden Changing Rate of sampling point N+1, ε1And ε2For threshold value；
Meet above three condition simultaneously, then determines sampled point N for abnormal data；
It is revised to be based on waveform continuous type abnormal data criterion are as follows:
Meet above-mentioned condition, then determines sampled point N for abnormal data.
Threshold value ε above-mentioned1And ε2Value is as follows:
ε1=K1ω A Δ T, ε2=K2ω2AΔT2,
Wherein, K1And K2It is greater than 1 safety factor for value, Δ T is sampling time interval, and A and ω are respectively SIN function
Current signal amplitude and frequency.
In aforementioned step 7), abnormal data is repaired, it is as follows to repair calculating formula:
Wherein, i'(n) indicate n-th of the revised numerical value of current signal discrete sampling point, i (n+1) and i (n+2) are respectively
For (n+1)th and the numerical value of the n-th+2 current signal discrete sampling points, N is the sampling number of each cycle.
Compared with prior art, the invention has the following beneficial technical effects:
The present invention improves original criterion, and uses Kirchhoff's current law (KCL) as subsidiary conditions, Ke Yiyou
Effect the case where avoiding abnormal data from failing to judge appearance, simultaneously effective avoid the neighbouring normal data of abnormal data is mistaken for it is different
The possibility of regular data.
The present invention proposes that a kind of data that two item datas are repaired after repair algorithm, either repairs single exception
Data or continuous abnormal data, can reach requirement in precision, and when repairing continuous abnormal data, the accumulation of error can connect
By in the range of.Meanwhile the reparation algorithm can achieve very high level due to only carrying out simple computation in speed,
Meet the requirement of relay protection system quick-action.
Detailed description of the invention
Fig. 1 is current waveform figure when operating normally；
Fig. 2 is current waveform figure when short circuit occurs；
Fig. 3 is that there are current waveform figures when single abnormal data；
Fig. 4 is that there are current waveform figures when continuous abnormal data；
Fig. 5 is example when abnormal data continuously occurs；
Fig. 6 is Kirchhoff's current law (KCL) schematic diagram；
Fig. 7 is disorder data recognition flow chart schematic diagram of the invention；
Fig. 8 is waveform diagram when failure occurs in embodiment.
Specific embodiment
In order to make those skilled in the art that the present invention may be better understood, with reference to the accompanying drawings and examples to this hair
Bright technical solution further illustrates.
Fig. 1, Fig. 2, Fig. 3 and Fig. 4 are respectively to operate normally, and ground short circuit failure occurs, and have when single abnormal data and have
Current waveform figure when continuous abnormal data.As can be seen that when operating normally, as shown in Figure 1, current waveform is completely continuous
's；In the event of a failure, as shown in Fig. 2, current waveform zonal cooling --- using the short trouble generation moment as separation, before
Waveform afterwards be it is continuous, wherein short trouble the sampled point at moment occurs and the waveform after failure be it is continuous, and before
Waveform it is discontinuous；There are when single abnormal data, as shown in figure 3, before abnormal data goes out current moment waveform be it is continuous,
After abnormal data goes out current moment waveform is continuous, and exceptional data point no matter and sampled point before or with later
Sampled point is discontinuous on waveform, is a discontinuous point；There are when continuous abnormal data, as shown in figure 4, abnormal data occurs
Waveform is continuous before moment, and waveform is continuous after abnormal data goes out current moment, and for the continuous abnormal number of appearance
According to since the size of abnormal data has randomness, thus its waveform is typically discontinuous.Therefore, waveform is
No continuously can be used as discriminates whether that there are abnormal data a important evidences.
Original abnormal data criterion can accurately identify abnormal data when abnormal data individually occurs, and very may be used
It leans on, but when abnormal data continuously occurs, it will there is a situation where fail to judge.
The present invention provides the method for a kind of electronic current mutual inductor disorder data recognition and reparation, referring to Fig. 7, specific mistake
Journey are as follows: first determine whether the bus protection of the connected bus of route acts, if bus protection acts, directly initiate based on continuous
The abnormal data criterion of property；Otherwise examine the connected each route of bus electric current phasor and whether be zero, if zero, then it is assumed that
There is no abnormal data in route, otherwise, every route is examined based on successional abnormal data criterion using improved
It surveys.For there is the route of abnormal data, by its relay protection system of temporary blocking and abnormal data is repaired, and according to repairing
Result after multiple determines whether protection acts；For the route of not abnormal data, will open its relay protection system.
The specific implementation process is as follows:
Step 1, the monitoring point for current transformer acquire current information；
Step 2 utilizes the phasor value of Fourier algorithm calculating current；
Step 3 judges whether the bus protection of the connected bus of route acts, if bus protection acts, is transferred to step 5；
It is no to then follow the steps 3；
Step 4, examine the connected each route of bus electric current phasor and whether be zero, if zero, then it is assumed that in route
There is no abnormal data, it is no to then follow the steps 5；
It whether there is the condition of abnormal data in this step as differentiation route using Kirchhoff's current law (KCL).
Fig. 6 is Kirchhoff's current law (KCL) schematic diagram；For normal sampled point, by Circuit theory it is found that when on bus I
There is no according to Kirchhoff's current law (KCL), there is the electric current phasor for all routes being connected on same bus always when failure
Be zero, i.e.,
Step 5 detects every route based on successional abnormal data criterion using improved；
Using the relationship of "or", rewritten to original based on waveform continuous type abnormal data criterion, it is original continuous based on waveform
The abnormal data criterion of type are as follows:
For waveform signal f (n), it is assumed that N point is exceptional data point, and when sample frequency is sufficiently high, sampling step length is enough
Hour,
By above formula as can be seen that the abnormal data studied should belong to removable discontinuity point from feature.By that can go
The feature of discontinuous point, it can be deduced that criterion as follows:
There is mutation that can obtain in N point by sample waveform,
It can not be led and can be obtained in N point by sampled point,
f′-(N)≠f′+(N) → | Δ f (N+1)-Δ f (N) | > ε2
Wherein, ε1And ε2For threshold value.
Meeting the point of above three formula simultaneously is exceptional data point.
Even N point is exceptional data point, then criterion are as follows:
It is smaller that above-mentioned criterion is likely to occur difference between two adjacent abnormal datas, so that the original criterion of formula is unsatisfactory for
The case where to cause abnormal data to fail to judge.As shown in figure 5, three points irised out in circle are three exceptional data points.
Note is a comprising continuous seven sampled points including this three points1, a2, a3, a4, a5, a6And a7, wherein a3, a4, a5For abnormal number
According to other points are correct sampled point.The value of this seven points is respectively 4.7364A, 4.7264A, 5.7264A, 5.2264A,
5.0224A 4.3979A, 4.2463A.By calculating, in this example, ε should be taken1=0.3720, ε2=0.0292.To above-mentioned seven
A sampled point carries out disorder data recognition calculating, and calculated result is as shown in table 1.
1 disorder data recognition algorithm calculated result of table
From the calculated result in table can be seen that using original sentence according to when, only abnormal data a3It can be detected, it is different
Regular data a4, a5 will not be detected.The data in table are examined it can be found that for a4And a5, due to | a4-a5|=
0.2 < ε1, therefore there is Δ f (N) and Δ f (N+1) for this two o'clock and cannot be simultaneously greater than ε1.More generally, continuous when occurring
When abnormal data, since the size of abnormal data is random, it is thus possible to occur between two adjacent abnormal datas difference compared with
It is small, so that the original criterion of formula is unsatisfactory for the case where causing abnormal data to fail to judge.In order to maximally reduce
The generation of such case is changed to following form for original, i.e., by original | Δ f (N) | > ε1And | Δ f (N+1) | > ε1It is changed to
| Δ f (N) | > ε1Or | Δ f (N+1) | > ε1, i.e., final criterion are as follows:
Threshold value ε1And ε2It can calculate using the following method.
Assuming that the expression formula of SIN function is f (x)=A sin (ω t+ φ), A, ω, φ are respectively the width of SIN function
Value, frequency and initial phase,
Ask first derivative and second dervative that can obtain f (x),
F'(x)=ω A cos (ω t+ φ), f " (x)=- ω2A sin(ωt+φ)。
Thus,
| f'(x) |≤ω A, | f " (x) |≤ω2A。
For sampled signal, first derivative can with first-order difference and the quotient of sampling time interval Δ T come approximate, two
Order derivative can with second differnce with the quotient of Δ T come approximate.It can thus be concluded that following two formula:
By the way that above-mentioned two formula to be compared, ε is taken1=K1ω A Δ T, ε2=K2ω2AΔT2As threshold value, wherein K1And K2
It is greater than 1 safety factor for value, Δ T is sampling time interval.
Step 6 judges whether there is abnormal data, if being no different regular data, open its protection, no to then follow the steps 6；
Step 7 repairs abnormal data, determines whether protection acts according to the result after reparation, restorative procedure is such as
Under:
If i (φ)=I sin (φ), has,
I sin (φ+Δ φ)=I sin (φ) cos (Δ φ)+I cos (φ) sin (Δ φ)=i (φ) cos (Δ φ)
+i'(φ)sin(Δφ)
Wherein, i (φ) is current signal, and I is the amplitude of current signal, and φ is the initial phase of current signal,
Under conditions of discrete signal, have:
Wherein, N is the sampling number of each cycle, interval of the Δ n between sampled point.Δ n=1 is taken in above formula, can be obtained,
I'(n n-th of the revised numerical value of current signal discrete sampling point) is indicated, i (n+1) and i (n+2) be respectively n-th+
1 and the n-th+2 current signal discrete sampling points numerical value.
Above formula is the calculation formula that abnormal data repairs algorithm.
The accuracy of this formula is verified.It is tested with the data instance in Fig. 8, in the just incipient mistake of failure
In transient, 6 exceptional data points is taken to be calculated, the sampling number of each cycle is 80, and what is obtained the results are shown in Table 2.
Abnormal data repairs algorithm calculated result in 2 transient process of table
In table, calculated result 1 and error 1 are resulting as a result, its practical significance corresponds to the calculating of above-mentioned reparation formula
When only one abnormal data, the case where reparation with the rear two o'clock of abnormal data.
Calculated result 2 and error 2 are first with A5And A6Point repairs A4Then point utilizes the A after repairing4Point and A5Point is repaired
A3Point, and so on.It is A that its is corresponding1Point arrives A4Point is exceptional data point, is needed from the last one abnormal data when reparation
Point A4Point starts the situation successively repaired forward.Some algorithms, which may accumulate rapidly error, in this case causes finally
The point of reparation much deviates its actual value, however can see restorative procedure proposed by the invention and do not occur above-mentioned feelings
Condition.
In trouble-free current waveform, the same calculating chosen 6 points and carry out such as table 2, obtained result such as 3 institute of table
Show.Wherein, the meaning of calculated result 1, error 1, calculated result 2, error 2 is same as above.The results show that being repaired in non-transient process
Multiple result will be significantly better than transient process, and the accuracy of reparation is higher.
Abnormal data repairs algorithm calculated result in the non-transient process of table 3
In order to test the influence for repairing error to Fourier algorithm calculated result, to the data in table 2 with A1For data window
Starting point carry out Fourier transformation, when being calculated using original sampling data, obtained amplitude is 17.1268A, benefit for discovery
It is calculated with calculated result 1, obtained amplitude is 17.1282A, is calculated using calculated result 2, obtained amplitude is
17.1296A.Equally, with A1For the starting point of data window, Fourier transformation is carried out using the data in table 3, is adopted when using original
When sample data, obtained amplitude is 4.6429A, carries out Fourier transformation using calculated result 1, and obtained amplitude is 4.6432A,
Fourier transformation is carried out using calculated result 2, obtained amplitude is 4.6431A.As it can be seen that being also either non-mistake in transient process
Transient, influence of the result of data reparation to Fourier transformation is all very small.
Embodiment
Such as the current waveform figure that Fig. 8 is the short-circuit moment.It is respectively what moment and its former and later two sampled values occurred for short circuit
ε is arranged in 4.7346A, 6.4640A and 6.8258A1=1.0574, ε2=0.0830.At this point, if Kirchhoff's current law (KCL) is full
Foot, then system assert that the sampled point at short-circuit moment will not be judged to abnormal data without exceptional data point in each route；If
There is abnormal data in any route being connected with bus, then Kirchhoff's current law (KCL) is not able to satisfy, based on successional
The starting of disorder data recognition algorithm.It is computed, short-circuit moment point meets the condition of abnormal data, therefore can carry out to this fault point
It repairs.Current amplitude is 6.5531A after reparation, is slightly amplified, but does not influence original protection regular event.Therefore occur in failure
Moment, no matter in route either with or without abnormal data, no matter abnormal data occurs from this route or is connected to same bus
All other routes, protecting can action message.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
This is considered as protection scope of the present invention.
Claims (6)
1. identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data, which comprises the following steps:
1) it is directed to the monitoring point of current transformer, acquires current information；
2) phasor value of Fourier algorithm calculating current is utilized；
3) judge whether the bus protection of the connected bus of route acts, if bus protection acts, be transferred to step 5), otherwise execute
Step 4)；
4) differentiate that route whether there is abnormal data based on Kirchhoff's current law (KCL), then follow the steps if it exists 5)；
5) every route is detected based on waveform continuous type abnormal data criterion using improved；
6) abnormal data is judged whether there is, if being no different regular data, open its relay protection system, no to then follow the steps
7)；
7) for there is the route of abnormal data, by its relay protection system of temporary blocking and abnormal data is repaired, according to
Result after reparation determines whether protection acts.
2. identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data according to claim 1, feature
It is, in the step 4), Kirchhoff's current law (KCL) is based on, if the electric current phasor of the connected each route of bus and being
Zero, then it is assumed that there is no abnormal data in route.
3. identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data according to claim 1, feature
It is, in the step 5), using the relationship of "or", is rewritten to original based on waveform continuous type abnormal data criterion.
4. identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data according to claim 3, feature
It is,
It is original to be based on waveform continuous type abnormal data criterion are as follows:
Wherein, Δ f (N) is the Sudden Changing Rate of sampled point N, and Δ f (N-1) is the Sudden Changing Rate of sampled point N-1, and Δ f (N+1) is sampled point
The Sudden Changing Rate of N+1, ε1And ε2For threshold value；
Meet above three condition simultaneously, then determines sampled point N for abnormal data；
It is revised to be based on waveform continuous type abnormal data criterion are as follows:
Meet above-mentioned condition, then determines sampled point N for abnormal data.
5. identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data according to claim 4, feature
It is, the threshold value ε1And ε2Value is as follows:
ε1=K1ω A Δ T, ε2=K2ω2AΔT2,
Wherein, K1And K2It is greater than 1 safety factor for value, Δ T is sampling time interval, and A and ω are respectively the electricity of SIN function
Flow the amplitude and frequency of signal.
6. identification and the restorative procedure of a kind of electronic current mutual inductor abnormal data according to claim 1, feature
It is, in the step 7), abnormal data is repaired, it is as follows repairs calculating formula:
Wherein, i'(n) indicate n-th of the revised numerical value of current signal discrete sampling point, i (n+1) and i (n+2) they are respectively n-th
+ 1 and the n-th+2 current signal discrete sampling points numerical value, N be each cycle sampling number.
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