CN113901625A - Power distribution network topological structure verification method and system based on Hausdorff distance - Google Patents
Power distribution network topological structure verification method and system based on Hausdorff distance Download PDFInfo
- Publication number
- CN113901625A CN113901625A CN202111320197.3A CN202111320197A CN113901625A CN 113901625 A CN113901625 A CN 113901625A CN 202111320197 A CN202111320197 A CN 202111320197A CN 113901625 A CN113901625 A CN 113901625A
- Authority
- CN
- China
- Prior art keywords
- hausdorff distance
- users
- verified
- topological structure
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012795 verification Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004364 calculation method Methods 0.000 claims description 27
- 238000007781 pre-processing Methods 0.000 claims description 15
- 238000000547 structure data Methods 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 239000011159 matrix material Substances 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 7
- 238000005070 sampling Methods 0.000 description 14
- 238000004458 analytical method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a power distribution network topological structure verification method and a power distribution network topological structure verification system based on a Hausdorff distance.
Description
Technical Field
The invention relates to the technical field of low-voltage distribution network topological structure verification, in particular to a power distribution network topological structure verification method and system based on a Hausdorff distance.
Background
The problems that the low-voltage user site has complex wiring and large data volume, changes in operation modes due to unbalanced loads, changes of the user variable relations, loss and poor quality of original data, lack of effective means for checking manually input data and the like can cause errors of low-voltage distribution network topology data in a computer system. The topological relation of the low-voltage distribution network is not clear, the data error of station area and split phase line loss is large, the arrangement of new loads is unreasonable, the load balance is influenced, the remote charge control and remote recharging success rate are reduced, and the development and implementation of basic services are influenced. Therefore, the research on the topological structure verification technology of the low-voltage distribution network has great necessity.
The traditional manual checking mode needs to arrange workers to identify on site, has low efficiency, high cost and low accuracy, and is gradually replaced by an online mode. The current online verification method judges the correlation between users by calculating the discrete Frechet distance between two user voltage sequences, but the Frechet distance is extremely sensitive to noise data, and when one noise data exists in the voltage data, the global judgment is influenced, so that the reliability is not high.
Disclosure of Invention
The embodiment of the invention provides a power distribution network topological structure verification method and system based on a Hausdorff distance, which are used for solving the technical problems that the existing method for verifying the topological structure of a low-voltage power distribution network by judging the correlation between users by calculating the discrete Frechet distance between two user voltage sequences is easily influenced by noise and has low reliability.
In view of this, the first aspect of the present invention provides a power distribution network topology structure verification method based on Hausdorff distance, where the method includes:
acquiring voltage time sequences of all users in a to-be-verified transformer area;
preprocessing the voltage time sequence;
and calculating Hausdorff distance of voltage time sequence time among all users in the to-be-verified station area, and judging whether users with topological structure errors exist in the to-be-verified station area or not according to the Hausdorff distance calculation result.
Optionally, the voltage time series is preprocessed, including:
rejecting abnormal data in the voltage time sequence;
and performing per unit valuating processing on the voltage time series by taking 220V as a reference value.
Optionally, calculating a Hausdorff distance of the voltage time sequence time between users in the to-be-verified station area, and determining whether there is a user with a topology structure error in the to-be-verified station area according to a calculation result of the Hausdorff distance, including:
calculating the Hausdorff distance of the voltage time sequence time among all users in the region to be checked according to a Hausdorff distance calculation formula, and constructing a Hausdorff distance coefficient matrix;
setting an initial value of a parameter Z as 0, comparing first Hausdorff distance coefficients between target users and reference users in a to-be-verified area, and adding 1 to the value of the parameter Z if the first Hausdorff distance coefficients do not exceed a preset coefficient value, wherein the target users are users needing to judge whether a topological structure error exists in the to-be-verified area, and the reference users are users except the target users in the to-be-verified area;
and after the first Hausdorff distance coefficient between the target user and each reference user is compared with the preset coefficient value, judging whether the value of the parameter Z is smaller than M multiplied by n, if so, judging that the target user is a user with a topological structure error, otherwise, judging that the target user is a user without the topological structure error, wherein M is a fraction threshold value, and n is the number of user tables.
Optionally, the preset coefficient value is 6.
Optionally, the method further comprises:
acquiring phase current sequences and a transformer area general table of all users of a transformer area to be verified;
preprocessing a phase current sequence;
and calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the transformer area and the phase current sequences of all users, and judging whether the topological structure data error exists in the transformer area to be verified according to the second Hausdorff distance coefficient calculation result.
Optionally, calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the transformer area and the phase current sequences of all users, and determining whether a topological structure data error exists in the transformer area to be verified according to a calculation result of the second Hausdorff distance coefficient, including:
calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the platform area and the phase current sequences of all users according to a Hausdorff distance calculation formula;
if the second Hausdorff distance coefficient does not exceed the preset coefficient value, judging that no topological structure data error exists in the to-be-verified station area, otherwise, judging that the topological structure data error exists in the to-be-verified station area.
The second aspect of the present invention provides a power distribution network topology structure calibration system based on Hausdorff distance, the system includes:
the voltage acquisition module is used for acquiring voltage time sequences of all users in the station area to be checked;
the preprocessing module is used for preprocessing the voltage time sequence;
and the topological structure judgment module is used for calculating the Hausdorff distance of the voltage time sequence time among all the users in the region to be verified, and judging whether users with topological structure errors exist in the region to be verified according to the Hausdorff distance calculation result.
Optionally, the preprocessing module is specifically configured to:
rejecting abnormal data in the voltage time sequence;
and performing per unit valuating processing on the voltage time series by taking 220V as a reference value.
Optionally, the topology structure determining module is specifically configured to:
calculating the Hausdorff distance of the voltage time sequence time among all users in the region to be checked according to a Hausdorff distance calculation formula, and constructing a Hausdorff distance coefficient matrix;
setting an initial value of a parameter Z as 0, comparing first Hausdorff distance coefficients between target users and reference users in a to-be-verified area, and adding 1 to the value of the parameter Z if the first Hausdorff distance coefficients do not exceed a preset coefficient value, wherein the target users are users needing to judge whether a topological structure error exists in the to-be-verified area, and the reference users are users except the target users in the to-be-verified area;
and after the first Hausdorff distance coefficient between the target user and each reference user is compared with the preset coefficient value, judging whether the value of the parameter Z is smaller than M multiplied by n, if so, judging that the target user is a user with a topological structure error, otherwise, judging that the target user is a user without the topological structure error, wherein M is a fraction threshold value, and n is the number of user tables.
Optionally, the preset coefficient value is 6.
According to the technical scheme, the embodiment of the invention has the following advantages:
according to the power distribution network topological structure verification method based on the Hausdorff distance, the voltage sequence data of the users in the station area to be verified are collected, after the voltage sequence data are preprocessed, the correlation coefficient among the loads of the users is calculated according to the Hausdorff distance, and whether the users with the wrong topological structures exist in the station area to be verified is further judged, the Hausdorff distance has good robustness on noise data, the global judgment cannot be influenced due to the existence of partial noise, and therefore the technical problems that the existing method for judging the topological structure verification of the low-voltage power distribution network by judging the correlation among the users through calculating the discrete Fre chet distance between two user voltage sequences is easily influenced by the noise and is not high in reliability are solved.
Drawings
Fig. 1 is a schematic flow chart of a power distribution network topology structure verification method based on a Hausdorff distance according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a power distribution network topology structure verification method based on a Hausdorff distance according to an embodiment of the present invention;
FIG. 3 is a voltage sequence diagram of a region to be verified according to an embodiment of the present invention;
FIG. 4 is a Hausdorff distance coefficient table diagram for 11 inter-user voltages provided in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a power distribution network topology structure verification system based on a Hausdorff distance according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For convenience of understanding, referring to fig. 1, fig. 1 is a diagram illustrating a power distribution network topology structure verification method based on a Hausdorff distance according to an embodiment of the present invention, and as shown in fig. 1, the power distribution network topology structure verification method based on the Hausdorff distance includes:
And acquiring voltage time sequences of all users in the region to be checked through the intelligent electric meter. Specifically, the voltage sequence data of all the user intelligent electric meters in the region to be verified can be derived by using the electric information acquisition system. Because the sampling of the voltage value is influenced by factors such as data sampling conditions, data transmission communication conditions, data storage capacity and the like, and the data integrity of all sampling moments of all sampling points cannot be ensured due to the excessively low sampling frequency, the actual sampling frequency of the voltage value acquired by the intelligent electric meter is not excessively low, generally, one sampling point is set every 1h, and the sampling values with the duration of 24h are acquired in total to construct a voltage time sequence.
And 102, preprocessing the voltage time sequence.
And filtering and deleting the user voltage data of the abnormal sampling value, and deleting the data at any sampling moment when the data is missing at any sampling moment so as to ensure the data quality and the rationality. In one embodiment, the voltage time series may be subjected to per unit quantization processing with the filtered voltage data as a reference value of 220V. If m users are arranged in a certain platform area to be checked, and n is the number of voltage sampling points, writing a voltage sequence into a matrix form as follows:
wherein u ismnThe voltage data of the nth sampling point of the mth user.
103, calculating Hausdorff distance of voltage time sequence time among all users in the region to be verified, and judging whether users with topological structure errors exist in the region to be verified according to the Hausdorff distance calculation result.
The Hausdorff distance between the voltage time sequences (or called voltage curves) of all users in the region to be verified is calculated so as to represent the correlation between the users, and the smaller the Hausdorff distance value is, the stronger the correlation between the two users is, so that the abnormal users with wrong topological structures can be found out according to the statistical result. The Hausdorff distance algorithm has better robustness to noise, and avoids the problem of noise sensitivity existing in the Frechet distance.
In one embodiment, step 103 specifically includes:
step 1031, calculating the Hausdorff distance of the voltage time sequence time among all the users in the to-be-checked transformer area according to a Hausdorff distance calculation formula, and constructing a Hausdorff distance coefficient matrix.
The Hausdorff distance calculation formula is as follows:
Hij＝max(hij,hji)
wherein h isijHausdorff distance, h, for user i and user jjiHausdorff distance for user j and user i, d (a, b) is the Euclidean distance between a and b, hijThe smaller the value, the stronger the correlation between user i and user j is considered, HijIs a correlation coefficient, UiFor the voltage time series of user i, a is UiPoint of (5), UjIs the voltage time sequence of user j, b is UjPoint (2).
And after the calculation of the correlation coefficients among all the users is completed, forming a Hausdorff distance coefficient matrix.
Step 1032, setting an initial value of a parameter Z to be 0, comparing first Hausdorff distance coefficients between a target user and each reference user in the to-be-verified station area, and adding 1 to the value of the parameter Z if the first Hausdorff distance coefficients do not exceed a preset coefficient value (in the embodiment of the present invention, the preset coefficient value is preferably 6, which is a reasonable value obtained according to actual mass analysis and can ensure that the accuracy of the user variation relationship judgment during the actual mass analysis reaches 99%), wherein the target user is a user needing to judge whether a topological structure error exists in the current to-be-verified station area, and the reference user is a user except the target user in the to-be-verified station area;
step 1033, after the first Hausdorff distance coefficient between the target user and each reference user is compared with the preset coefficient value, determining whether the value of the parameter Z is smaller than mxn, if yes, the target user is a user with a topology structure error, otherwise, the target user is a user without a topology structure error, where M is a fractional threshold, when M is 0.2, the algorithm effect is the best, and n is the number of the user tables.
When the user i is compared with all other users, the final Z is obtained, and if the final Z is larger than or equal to M multiplied by n, the user i belongs to the station area; otherwise, user i does not belong to this zone.
According to the power distribution network topological structure verification method based on the Hausdorff distance, provided by the embodiment of the invention, the voltage sequence data of the users in the station area to be verified are collected, after the voltage sequence data are preprocessed, the correlation coefficient among the user loads is calculated according to the Hausdorff distance, and then whether users with wrong topological structures exist in the station area to be verified or not is judged, the Hausdorff distance has better robustness on noise data, the global judgment cannot be influenced due to the existence of partial noise, and therefore, the technical problems that the existing method for judging the correlation among the users by calculating the discrete Fre chet distance between two user voltage sequences to verify the topological structures of the low-voltage power distribution network is easily influenced by the noise and the reliability is not high are solved.
In one embodiment, the relationship between the phase current of the head end of the line and the phase current of the tail end branch can be used for carrying out secondary verification on the topology structure of the transformer area. Specifically, please refer to fig. 2, which includes the following steps:
The phase current sequences of all users in the zone to be verified are obtained through the intelligent electric meter (for example, the phase current sequence of a phase a, the phase current sequence of a phase B or the phase current sequence of a phase C can be selected, and the selection can be specifically performed according to actual requirements). Specifically, the phase current sequences of all the user intelligent electric meters in the to-be-verified distribution room and the phase current sequence of the distribution room main meter can be derived by using the electric information acquisition system.
The phase current sequence is pre-processed as in step 102.
And 203, calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the transformer area and the phase current sequences of all users, and judging whether the topological structure data error exists in the transformer area to be verified according to the calculation result of the second Hausdorff distance coefficient.
The phase A current sequence of the table area general table can be represented as IS＝[IS1,IS2,...,ISn]The sum of the sequence of a-phase currents for all users can be expressed as I ∑ I ═ I11,I12,...I1n]+[I21,I22,...I2n]+[Im1,Im2,...Imn]。
Calculating the total table phase current sequence I of the transformer area according to a Hausdorff distance calculation formulaSPhase current sequences and I to all subscribers∑If the second Hausdorff distance coefficient does not exceed the preset coefficient value (in the embodiment of the present invention, the preset coefficient value is preferably 6, and the value is a reasonable value obtained according to the massive actual analysis, which can ensure that the accuracy rate of the user variation relationship judgment during the massive actual analysis reaches 99%), the data of the topology structure of the to-be-verified station area is correct, otherwise, the data of the topology structure of the to-be-verified station area is incorrect.
In order to more specifically explain the power distribution network topology structure verification method based on the Hausdorff distance, the invention also provides an application example of the power distribution network topology structure verification method based on the Hausdorff distance, which comprises the following steps:
an area is selected, the information system of which has 11 users recorded. Firstly, voltage and current data of the user intelligent electric meter in the distribution area are obtained, the sampling interval is 1 hour, and 24 voltage and current data exist in the total 24 hours, as shown in fig. 3.
The 11 voltage sequences are subjected to data such as zero values and anomalies, and then to per unit valuing processing with 220V as a reference.
Calculating Hausdorff distance between voltage time sequences of all users in the station area so as to represent correlation among users, and finding out abnormal users with wrong topological structures according to statistical results, specifically:
according to the Hausdorff distance formula, Hausdorff distance coefficients between all users are calculated, and the calculation result is shown in FIG. 4.
The Hausdorff distances between the user 1 and the users 2, 3, 4, 5, 6, 7, 8, 9, and 10 are all less than 6, and therefore, the user 1 is determined to belong to the station zone because Z is 8 ≧ 0.2 × 11. The rest of the users and so on. The Hausdorff distance between the subscriber 11 and all other subscribers is greater than 6, and therefore, Z is 0<0.2 × 11, and therefore, it is determined that the subscriber 11 does not belong to the station area.
And (3) performing secondary verification on the topological structure of the transformer area by utilizing the relationship between the phase current of the head end of the line and the phase current of the branch at the tail end of the line:
according to a Hausdorff distance formula, calculating a phase current sequence I of the head end A of the calibration foreground areaSPhase current sum sequence I with end current A∑The coefficient of (2) is 7.55, the coefficient after checking the error data is 4.67, and at this time, the topological structure data of the station area is judged to be correctly modified.
For convenience of understanding, please refer to fig. 5, fig. 5 is a power distribution network topology structure verification system based on Hausdorff distance according to an embodiment of the present invention, and as shown in fig. 5, the power distribution network topology structure verification system based on Hausdorff distance includes:
a voltage obtaining module 501, configured to obtain voltage time sequences of all users in a distribution room to be verified;
a preprocessing module 502, configured to preprocess the voltage time series;
and the topological structure judgment module 503 is configured to calculate a Hausdorff distance of the voltage time sequence time between users in the to-be-verified station area, and judge whether there is a user with a topological structure error in the to-be-verified station area according to a calculation result of the Hausdorff distance.
The preprocessing module 502 is specifically configured to:
rejecting abnormal data in the voltage time sequence;
and performing per unit valuating processing on the voltage time series by taking 220V as a reference value.
The topology structure determining module 503 is specifically configured to:
calculating the Hausdorff distance of the voltage time sequence time among all users in the region to be checked according to a Hausdorff distance calculation formula, and constructing a Hausdorff distance coefficient matrix;
setting an initial value of a parameter Z as 0, comparing first Hausdorff distance coefficients between target users and reference users in a to-be-verified area, and adding 1 to the value of the parameter Z if the first Hausdorff distance coefficients do not exceed a preset coefficient value, wherein the target users are users needing to judge whether a topological structure error exists in the to-be-verified area, and the reference users are users except the target users in the to-be-verified area;
and after the first Hausdorff distance coefficient between the target user and each reference user is compared with the preset coefficient value, judging whether the value of the parameter Z is smaller than M multiplied by n, if so, judging that the target user is a user with a topological structure error, otherwise, judging that the target user is a user without the topological structure error, wherein M is a fraction threshold value, and n is the number of user tables.
The preset coefficient value is 6.
Further comprising:
the phase current acquisition module 601 is configured to acquire phase current sequences and a distribution area summary table of all users in a distribution area to be verified;
a phase current preprocessing module 602, configured to preprocess a phase current sequence;
and the secondary checking module 603 is configured to calculate a second Hausdorff distance coefficient of a sum of the phase current sequences of the total table phase current sequence of the station area and the phase current sequences of all users, and determine whether a topological structure data error exists in the station area to be checked according to a calculation result of the second Hausdorff distance coefficient.
The secondary verification module 603 is specifically configured to:
calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the platform area and the phase current sequences of all users according to a Hausdorff distance calculation formula;
if the second Hausdorff distance coefficient does not exceed the preset coefficient value, judging that no topological structure data error exists in the to-be-verified station area, otherwise, judging that the topological structure data error exists in the to-be-verified station area.
According to the power distribution network topological structure verification system based on the Hausdorff distance, the voltage sequence data of the users in the station area to be verified are collected, after the voltage sequence data are preprocessed, the correlation coefficient among the loads of the users is calculated according to the Hausdorff distance, and whether the users with the wrong topological structures exist in the station area to be verified is further judged, the Hausdorff distance has good robustness on noise data, the global judgment cannot be influenced due to the existence of partial noise, and therefore the technical problems that the existing method for judging the correlation among the users by calculating the discrete Fre' chet distance between two user voltage sequences to verify the topological structures of the low-voltage power distribution network is easily influenced by the noise and the reliability is not high are solved.
The power distribution network topology structure verification system based on the Hausdorff distance provided by the invention is used for executing the method in the power distribution network topology structure verification method based on the Hausdorff distance, can obtain the same technical effect as the power distribution network topology structure verification method based on the Hausdorff distance, and the principle of the method is not repeated here.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A power distribution network topological structure verification method based on Hausdorff distance is characterized by comprising the following steps:
acquiring voltage time sequences of all users in a to-be-verified transformer area;
preprocessing the voltage time sequence;
and calculating Hausdorff distance of voltage time sequence time among all users in the to-be-verified station area, and judging whether users with topological structure errors exist in the to-be-verified station area or not according to the Hausdorff distance calculation result.
2. The power distribution network topology structure verification method based on Hausdorff distance according to claim 1, wherein preprocessing the voltage time series comprises:
rejecting abnormal data in the voltage time sequence;
and performing per unit valuating processing on the voltage time series by taking 220V as a reference value.
3. The method for verifying the topological structure of the power distribution network based on the Hausdorff distance as claimed in claim 1, wherein the Hausdorff distance of the voltage time sequence time between each user in the station area to be verified is calculated, and whether the user with the topological structure error exists in the station area to be verified is judged according to the calculation result of the Hausdorff distance, and the method comprises the following steps:
calculating the Hausdorff distance of the voltage time sequence time among all users in the region to be checked according to a Hausdorff distance calculation formula, and constructing a Hausdorff distance coefficient matrix;
setting an initial value of a parameter Z as 0, comparing first Hausdorff distance coefficients between target users and reference users in a to-be-verified area, and adding 1 to the value of the parameter Z if the first Hausdorff distance coefficients do not exceed a preset coefficient value, wherein the target users are users needing to judge whether a topological structure error exists in the to-be-verified area, and the reference users are users except the target users in the to-be-verified area;
and after the first Hausdorff distance coefficient between the target user and each reference user is compared with the preset coefficient value, judging whether the value of the parameter Z is smaller than M multiplied by n, if so, judging that the target user is a user with a topological structure error, otherwise, judging that the target user is a user without the topological structure error, wherein M is a fraction threshold value, and n is the number of user tables.
4. The method for verifying the topology of the power distribution network based on the Hausdorff distance according to claim 3, wherein the preset coefficient value is 6.
5. The power distribution network topology structure verification method based on Hausdorff distance according to any one of claims 1-4, further comprising:
acquiring phase current sequences and a transformer area general table of all users of a transformer area to be verified;
preprocessing a phase current sequence;
and calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the transformer area and the phase current sequences of all users, and judging whether the topological structure data error exists in the transformer area to be verified according to the second Hausdorff distance coefficient calculation result.
6. The power distribution network topological structure verification method based on the Hausdorff distance as claimed in claim 5, wherein a second Hausdorff distance coefficient of a sum of a total table phase current sequence of the distribution room and phase current sequences of all users is calculated, and whether a topological structure data error exists in the distribution room to be verified is judged according to a calculation result of the second Hausdorff distance coefficient, and the method comprises the following steps:
calculating a second Hausdorff distance coefficient of the sum of the total table phase current sequence of the platform area and the phase current sequences of all users according to a Hausdorff distance calculation formula;
if the second Hausdorff distance coefficient does not exceed the preset coefficient value, judging that no topological structure data error exists in the to-be-verified station area, otherwise, judging that the topological structure data error exists in the to-be-verified station area.
7. The utility model provides a distribution network topological structure check-up system based on Hausdorff distance which characterized in that includes:
the voltage acquisition module is used for acquiring voltage time sequences of all users in the station area to be checked;
the preprocessing module is used for preprocessing the voltage time sequence;
and the topological structure judgment module is used for calculating the Hausdorff distance of the voltage time sequence time among all the users in the region to be verified, and judging whether users with topological structure errors exist in the region to be verified according to the Hausdorff distance calculation result.
8. The power distribution network topology structure verification system based on Hausdorff distance as claimed in claim 7, wherein the preprocessing module is specifically configured to:
rejecting abnormal data in the voltage time sequence;
and performing per unit valuating processing on the voltage time series by taking 220V as a reference value.
9. The power distribution network topology structure verification system based on Hausdorff distance as claimed in claim 7, wherein the topology structure determination module is specifically configured to:
calculating the Hausdorff distance of the voltage time sequence time among all users in the region to be checked according to a Hausdorff distance calculation formula, and constructing a Hausdorff distance coefficient matrix;
setting an initial value of a parameter Z as 0, comparing first Hausdorff distance coefficients between target users and reference users in a to-be-verified area, and adding 1 to the value of the parameter Z if the first Hausdorff distance coefficients do not exceed a preset coefficient value, wherein the target users are users needing to judge whether a topological structure error exists in the to-be-verified area, and the reference users are users except the target users in the to-be-verified area;
and after the first Hausdorff distance coefficient between the target user and each reference user is compared with the preset coefficient value, judging whether the value of the parameter Z is smaller than M multiplied by n, if so, judging that the target user is a user with a topological structure error, otherwise, judging that the target user is a user without the topological structure error, wherein M is a fraction threshold value, and n is the number of user tables.
10. The system according to claim 9, wherein the predetermined coefficient value is 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111320197.3A CN113901625A (en) | 2021-11-09 | 2021-11-09 | Power distribution network topological structure verification method and system based on Hausdorff distance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111320197.3A CN113901625A (en) | 2021-11-09 | 2021-11-09 | Power distribution network topological structure verification method and system based on Hausdorff distance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113901625A true CN113901625A (en) | 2022-01-07 |
Family
ID=79193765
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111320197.3A Pending CN113901625A (en) | 2021-11-09 | 2021-11-09 | Power distribution network topological structure verification method and system based on Hausdorff distance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113901625A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115480126A (en) * | 2022-09-23 | 2022-12-16 | 云南电网有限责任公司电力科学研究院 | Detection device setting method and system based on Frechet algorithm, computer equipment and medium |
-
2021
- 2021-11-09 CN CN202111320197.3A patent/CN113901625A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115480126A (en) * | 2022-09-23 | 2022-12-16 | 云南电网有限责任公司电力科学研究院 | Detection device setting method and system based on Frechet algorithm, computer equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021253806A1 (en) | Voltage association characteristic-based method for identifying phase sequence-user relation in low-voltage transformer area | |
| CN111026927B (en) | Low-voltage transformer area running state intelligent monitoring system | |
| CN108197156B (en) | Abnormal electric quantity data restoration method of electricity consumption information acquisition system and terminal equipment | |
| CN110707686B (en) | Transformer area identification method and transformer area line topology construction method | |
| CN109818349B (en) | Power grid robust state prediction method based on multidimensional state matrix sliding matching | |
| CN111008510B (en) | Method for identifying ammeter in transformer area and method for judging transformer area to which ammeter belongs | |
| CN109444800B (en) | Station area identification method based on wireless communication acquisition | |
| CN113176458B (en) | Low-voltage transformer area household relation identification method aiming at incomplete data | |
| CN112198375B (en) | Phase identification method, device, equipment and storage medium for single-phase user | |
| CN112701675A (en) | Distribution station user phase identification method and system based on screening voltage data | |
| CN111723339A (en) | Method for identifying low-voltage hitching of transformer area based on trend similarity and distance measurement | |
| CN115684776A (en) | Method, device and processor for determining route loss branch of high-voltage transmission line | |
| CN113901625A (en) | Power distribution network topological structure verification method and system based on Hausdorff distance | |
| CN111951125A (en) | Transformer area abnormal user variation relation identification method based on big data analysis | |
| CN110739692B (en) | Power distribution network structure identification method based on probability map model | |
| CN114090961A (en) | Method and system for checking topological structure of low-voltage distribution network | |
| CN110768256A (en) | Transformer area topology identification method, device and system based on voltage harmonic atlas | |
| CN111541301B (en) | Power distribution network line variation relation checking method based on fluctuation rate | |
| CN117236022A (en) | Training method and application method of residual life prediction model of transformer and electronic equipment | |
| CN107832928B (en) | Equivalent comprehensive line loss evaluation method based on wind power generation characteristic curve | |
| CN114465351A (en) | Method and system for generating topological structure of low-voltage distribution network | |
| CN114784971A (en) | Low-voltage transformer area topology identification system and algorithm based on current data | |
| CN113850494A (en) | Data loading method and device, electronic equipment and storage medium | |
| CN114186420A (en) | Distribution network region topology verification method, device, equipment and medium | |
| CN113836125A (en) | Distribution transformer data cleaning and repairing method and system for distribution internet of things edge side |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |