CN115842339A - Characteristic current signal identification method for distribution room topology combing - Google Patents

Characteristic current signal identification method for distribution room topology combing Download PDF

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CN115842339A
CN115842339A CN202211504160.0A CN202211504160A CN115842339A CN 115842339 A CN115842339 A CN 115842339A CN 202211504160 A CN202211504160 A CN 202211504160A CN 115842339 A CN115842339 A CN 115842339A
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characteristic current
receiving end
zero crossing
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current signal
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曹乾磊
梁浩
张鹏程
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Qingdao Topscomm Communication Co Ltd
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Abstract

The invention relates to the field of low-voltage distribution networks, and discloses a characteristic current signal identification method for distribution room topology combing, which comprises the following steps: a sending end detects the upward zero crossing point of voltage, and switches characteristic current when the upward zero crossing point is detected; the receiving end filters and samples the current; the receiving end detects the upward zero crossing point of the voltage, the sliding window takes and stores the sampled current when the upward zero crossing point is detected, and power frequency and integer subharmonic are removed by taking difference through adjacent power frequency cycles; the receiving end carries out serialization processing on the processed data; the receiving end calculates the correlation coefficient of the front and rear group sequences obtained after the processing and the front and rear group standard sequences pre-stored locally; judging whether the signal identification is successful or not according to the relation between the absolute value of the coefficient and the threshold value: and if the current direction is successful, determining the characteristic current direction according to the positive and negative of the coefficient. The invention realizes the recognition of the characteristic current and the detection of the direction of the characteristic current, directly determines the relative position of the sending end and the receiving end, avoids the false recognition caused by bypass shunting, and improves the disturbance resistance of the topology recognition technology.

Description

Characteristic current signal identification method for distribution room topology combing
Technical Field
The invention relates to the technical field of low-voltage distribution networks, in particular to a characteristic current signal identification method for distribution room topology combing.
Background
With the rapid increase in the number of power consumers, low voltage stations have a stronger demand for accurate station topology. The accurate topology can guide line loss calculation and management, provide reliable basis for power supply line switching and line operation and maintenance, and influence load flow calculation and system stability.
At present, existing companies and scientific research units make progress in the field of low-voltage topology recognition, and some big data analysis means are provided, wherein topology recognition is carried out by collecting electric quantities such as electric quantity, power, current and the like and utilizing an energy conservation principle or a voltage correlation principle. In addition, the physical injection type topology identification technology based on the characteristic current is rapidly developed in recent years, and the superior and inferior subordination relation between the identification equipment and the sending equipment can be accurately obtained, but in practice, due to the fact that the frequency of the characteristic current signal is high, large shunt exists, and besides the superior branch node of the sending equipment, the bypass branch node can also detect the signal, so that the failure of the topology identification technology can be caused, and the defect exists in engineering practicability.
Disclosure of Invention
Aiming at the problems, the invention overcomes the defects of the prior art, and provides a characteristic current synchronization and orientation method for the distribution room topology combing, which judges and identifies characteristic current signals, detects characteristic current direction information, directly determines the relative position relationship of a sending end and a receiving end, and avoids the problem of false identification caused by bypass shunting.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
a characteristic current signal identification method for distribution room topology combing comprises the following steps:
step 1, a sending end detects the upward zero crossing point of voltage in real time, and starts to switch a characteristic current signal when the upward zero crossing point is detected;
step 2, the receiving end filters and samples the current signal;
step 3, the receiving end detects the upward zero crossing point of the voltage in real time, when the upward zero crossing point is detected, the sliding window takes and stores the sampled current data, and the power frequency and integer subharmonic components are removed in a difference mode through adjacent power frequency cycles;
step 4, the receiving end carries out serialization processing on the sampled current data processed in the step 3;
step 5, the receiving end divides the 100-point signal sequence processed in the step 4 into two groups according to the first 50 points and the second 50 points;
the receiving end divides the locally pre-stored 100-point standard signal sequence into two groups according to the first 50 points and the second 50 points;
calculating the correlation coefficient between the first 50 point sequence and the first 50 point standard sequence prestored locally and recording as A 1 ；
Calculating the correlation coefficient between the post 50 point sequence and the post 50 point standard sequence pre-stored locally and recording as A 2 ；
Step 6 according to A 1 、A 2 Absolute value and preset threshold B 1 、B 2 Judging whether the characteristic current signal is successfully identified or not according to the magnitude relation: if the identification is successful, according to A 1 The positive and negative of the value determine the characteristic current direction; otherwise, jumping to step 3.
Further, the characteristic current signals switched in the step 1 are transmitted in the positive half cycle of the power frequency voltage, and the negative half cycle is not transmitted; the characteristic frequency point of the signal is 833Hz, the duty ratio is 1/3, the amplitude is 0.2A, the total sending time length is 5.4s, and the coded information is not contained.
Further, the receiving end in the step 2 uses a band-pass filter for filtering, wherein the upper and lower limits of cut-off frequency of a pass band are 700 Hz-900 Hz, the upper and lower limits of cut-off frequency of a stop band are 600 Hz-1000 Hz, attenuation of the pass band edge is 0.1dB, and attenuation of the stop band edge is 30dB; the receiving end sampling rate is 5kHz.
Further, the length of the data stored in the step 3 is 27000 points; the next time the receiving end detects an upward zero crossing point, the stored 27000 points are updated.
Further, the serialization processing in the step 4 specifically includes:
s41, with 100 data points as a group, splitting 27000 data points into 270 groups, namely
Figure BDA0003968478710000021
Wherein I is a sequence and I is a data point;
s42, splitting the 270 groups of data into three groups, namely
Figure BDA0003968478710000022
Summing all sequences in each large group to obtain a new sequence, i.e. I 4,1 ＝∑I 3,1 ，I 4,2 ＝∑I 3,2 ，I 4,3 ＝∑I 3,3 ；
S43, adding I 4,1 、I 4,2 、I 4,3 The phases are rotated and then superposed to obtain
Figure BDA0003968478710000023
Further, the relation number in the step 5
Figure BDA0003968478710000024
Wherein n is the length of the data,
Figure BDA0003968478710000025
the mean value of two sequences to be solved, and X and Y are two sequences to be solved.
Further, the criterion for judging whether the characteristic current signal identification is successful or not in the step 6 is as follows: when A is 1 Is greater than B 1 And A is 2 Is less than B 2 Judging that the signal identification is successful; otherwise, the signal identification is considered to be failed;
the judgment standard of the characteristic current direction is as follows: when A is 1 When the current is positive, the characteristic current direction is a positive direction; when A is 1 When negative, the characteristic current direction is the negative direction.
The invention has the beneficial technical effects that: the characteristic current signals are judged and identified, and meanwhile, the characteristic current direction information is detected, the relative position relation of the sending end and the receiving end is directly determined, the problem of false identification caused by bypass shunting is avoided, and the interference resistance of the topology identification technology is improved.
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FIG. 1 is a general flow diagram of the present invention.
Fig. 2 is a characteristic current for switching in the embodiment of the present invention.
Fig. 3 is a locally pre-stored standard sequence according to an embodiment of the present invention.
Fig. 4 is a signal sequence obtained after the locally pre-stored standard sequence and the receiving end process in the embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and examples to specifically illustrate the technical solutions of the present invention. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example (b):
as shown in fig. 1, a characteristic current signal identification method for table area topology combing includes the following steps:
step 1, a sending end detects the upward zero crossing point of voltage in real time, and starts to switch a characteristic current signal when the upward zero crossing point is detected; the signal is transmitted in the positive half cycle of the power frequency voltage, and the negative half cycle is not transmitted; the characteristic frequency point of the signal is 833Hz, the duty ratio is 1/3, the amplitude is 0.2A, the total sending time length is 5.4s, and the coded information is not contained.
Step 2, the receiving end filters and samples the current signal; filtering by a band-pass filter at a receiving end, wherein the upper limit and the lower limit of cut-off frequency of a pass band are 700 Hz-900 Hz, the upper limit and the lower limit of cut-off frequency of a stop band are 600 Hz-1000 Hz, the attenuation of the pass band edge is 0.1dB, and the attenuation of the stop band edge is 30dB; the receiving end sampling rate is 5kHz.
Step 3, the receiving end detects the upward zero crossing point of the voltage in real time, when the upward zero crossing point is detected, the sliding window takes and stores the sampled current data, and the power frequency and integer subharmonic components are removed in a difference mode through adjacent power frequency cycles; the length of data stored therein is 27000 dots.
And 4, the receiving end carries out serialization processing on the sampled current data processed in the step 3:
s41, with 100 data points as a group, splitting 27000 data points into 270 groups, namely
Figure BDA0003968478710000031
Wherein I is a sequence and I is a data point;
s42, splitting the 270 groups of data into three groups, namely
Figure BDA0003968478710000041
Summing all sequences in each large group to obtain a new sequence, i.e. I 4,1 ＝∑I 3,1 ，I 4,2 ＝∑I 3,2 ，I 4,3 ＝∑I 3,3 ；
S43, mixing I 4,1 、I 4,2 、I 4,3 The phases are rotated and then superposed to obtain
Figure BDA0003968478710000042
Further, the relation number in the step 5
Figure BDA0003968478710000043
Wherein n is the length of the data,
Figure BDA0003968478710000044
the mean value of two sequences to be solved, and X and Y are two sequences to be solved.
Step 5, the receiving end divides the 100-point signal sequence processed in the step 4 into two groups according to the first 50 points and the second 50 points;
the receiving end divides the locally pre-stored 100-point signal sequence into two groups according to the first 50 points and the second 50 points;
calculating a correlation coefficient A of the first 50 point sequence and a first 50 point standard sequence prestored locally 1 Obtaining A 1 ＝0.9919；
Calculating the correlation coefficient A between the post 50 point sequence and the post 50 point standard sequence pre-stored locally 2 Obtaining A 2 ＝0.3093；
Step 6 | A 1 ︱＝0.9919＞B 1 (= 0.85) and | A 2 ︱＝0.3093＜B 2 =0.4, the signal identification is judged to be successful, and then the characteristic current direction is judged: a. The 1 If the current is positive, the characteristic current direction is judged to be a positive direction.
The above embodiments are illustrative of specific embodiments of the present invention, and are not meant to limit the invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention to obtain corresponding equivalent technical solutions, therefore all equivalent technical solutions should fall into the scope of the present invention.

Claims (6)

1. A characteristic current signal identification method for distribution room topology combing is characterized by comprising the following steps:
step 1, a sending end detects the upward zero crossing point of voltage in real time, and starts to switch a characteristic current signal when the upward zero crossing point is detected;
step 2, the receiving end filters and samples the current signal;
step 3, the receiving end detects the upward zero crossing point of the voltage in real time, when the upward zero crossing point is detected, the sliding window takes and stores the sampled current data, and the power frequency and integer subharmonic components are removed in a mode of making a difference by adjacent power frequency cycles;
step 4, the receiving end carries out serialization processing on the sampled current data processed in the step 3;
step 5, the receiving end divides the 100-point signal sequence processed in the step 4 into two groups according to the first 50 points and the second 50 points;
the receiving end divides the locally pre-stored 100-point standard signal sequence into two groups according to the first 50 points and the second 50 points;
calculating the correlation coefficient A of the first 50 point sequence and the first 50 point standard sequence pre-stored locally 1 ；
Calculating the correlation coefficient A between the post 50 point sequence and the post 50 point standard sequence pre-stored locally 2 ；
Step 6 according to A 1 、A 2 Absolute value and preset threshold B 1 、B 2 Judging whether the characteristic current signal identification is successful or not according to the magnitude relation of the characteristic current signals: if the identification is successful, according to A 1 The positive and negative of the value determine the characteristic current direction; otherwise, jumping to step 3.
2. The method for identifying the characteristic current signal for the topological carding of the transformer area according to claim 1, wherein in the step 2, the receiving end uses a band-pass filter for filtering, wherein the upper and lower limits of the cut-off frequency of the pass band are 700 Hz-900 Hz, the upper and lower limits of the cut-off frequency of the stop band are 600 Hz-1000 Hz, the attenuation of the pass band side is 0.1dB, and the attenuation of the stop band side is 30dB; the receiving end sampling rate is 5kHz.
3. The method for identifying the characteristic current signal of the topological comb of the platform area according to claim 1, wherein the length of the data stored in the step 3 is 27000 points; the next time the receiving end detects an upward zero crossing point, the stored 27000 points are updated.
4. The method for identifying the characteristic current signal of the distribution room topology combing according to the claim 1, wherein the serialization process in the step 4 is specifically as follows:
s41, with 100 data points as a group, splitting 27000 data points into 270 groups, namely
Figure FDA0003968478700000011
Wherein I is a sequence and I is a data point;
s42, splitting the 270 groups of data into three groups, namely
Figure FDA0003968478700000012
Summing all sequences in each large group to obtain a new sequence, i.e. I 4,1 ＝∑I 3,1 ，I 4,2 ＝∑I 3,2 ，I 4,3 ＝∑I 3,3 ；
S43, adding I 4,1 、I 4,2 、I 4,3 The phases are rotated and then superposed to obtain
Figure FDA0003968478700000021
5. The method for identifying characteristic current signals for topological combing of transformer stations as claimed in claim 1, whereinIn said step 5
Figure FDA0003968478700000022
Wherein n is the length of the data,
Figure FDA0003968478700000023
the mean value of two sequences to be solved, X and Y are two sequences to be solved.
6. The method for identifying the characteristic current signal of the distribution room topology combing according to the claim 1, wherein the criterion for judging whether the characteristic current signal identification is successful or not in the step 6 is as follows: when A is 1 Is greater than B 1 And A is 2 Is less than B 2 Judging that the signal identification is successful; otherwise, the signal identification is considered to be failed;
the judgment standard of the characteristic current direction is as follows: when A is 1 When the current is positive, the characteristic current direction is a positive direction; when A is 1 When negative, the characteristic current direction is the negative direction.
CN202211504160.0A 2022-11-29 2022-11-29 Characteristic current signal identification method for distribution room topology combing Pending CN115842339A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116626366A (en) * 2023-07-19 2023-08-22 青岛鼎信通讯科技有限公司 Power distribution network characteristic current identification method
CN116660612A (en) * 2023-07-31 2023-08-29 青岛鼎信通讯科技有限公司 Characteristic current detection method
CN116861203A (en) * 2023-09-05 2023-10-10 青岛鼎信通讯科技有限公司 Microcurrent signal identification method based on single-frequency signal
CN117895977A (en) * 2024-03-18 2024-04-16 青岛鼎信通讯科技有限公司 Characteristic current information bit identification method

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116626366A (en) * 2023-07-19 2023-08-22 青岛鼎信通讯科技有限公司 Power distribution network characteristic current identification method
CN116626366B (en) * 2023-07-19 2023-10-24 青岛鼎信通讯科技有限公司 Power distribution network characteristic current identification method
CN116660612A (en) * 2023-07-31 2023-08-29 青岛鼎信通讯科技有限公司 Characteristic current detection method
CN116861203A (en) * 2023-09-05 2023-10-10 青岛鼎信通讯科技有限公司 Microcurrent signal identification method based on single-frequency signal
CN116861203B (en) * 2023-09-05 2024-01-09 青岛鼎信通讯科技有限公司 Microcurrent signal identification method based on single-frequency signal
CN117895977A (en) * 2024-03-18 2024-04-16 青岛鼎信通讯科技有限公司 Characteristic current information bit identification method

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