CN109581130B - Voltage curve similarity calculation method considering voltage adjustment measure influence - Google Patents
Voltage curve similarity calculation method considering voltage adjustment measure influence Download PDFInfo
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Abstract
The invention provides a voltage curve similarity calculation method considering the influence of voltage adjustment measures, which comprises the following steps of: A. obtaining distribution transformation related data, wherein the distribution transformation related data comprises: the corresponding relation between the 10kV line and the distribution transformer, the name of the distribution transformer, the address code of the distribution transformer and the three-phase voltage of the distribution transformer; B. b, preprocessing the distribution transformer outlet voltage data obtained in the step A; C. b, identifying a voltage catastrophe point according to the distribution transformer outlet voltage data preprocessed in the step B, and segmenting a voltage curve; D. calculating the similarity of the segmented curves according to the voltage curve segmentation result of the step C; E. and D, comprehensively judging the similarity of the voltage curves of the two transformer areas according to the similarity result of the sectional curves calculated in the step D. The method provided by the invention can be used for correctly calculating the voltage curve similarity when voltage regulation measures exist.
Description
Technical Field
The invention relates to the technical field of distribution transformer operation, in particular to a voltage curve similarity calculation method considering the influence of voltage adjustment measures.
Background
When the distribution network operates, in order to reduce active network loss, balance load and improve reliability, the network structure of the distribution network needs to be adjusted, relevant information in the power consumption information acquisition system may not be updated in time after the network structure is adjusted, and generally, relevant data are verified and updated in a manual mode, which consumes time and labor.
The applicant of the present patent proposes a distribution network topology structure verification and maintenance method (publication number: CN107508297A), which realizes automatic verification and maintenance of a distribution network topology structure by analyzing distribution-transformation outlet voltage curve similarity, wherein the similarity calculation method is a correlation coefficient. However, practical operation experience shows that some transformer areas are provided with voltage adjusting equipment, when the voltage adjusting equipment is put into use, the voltage at the outlet of the distribution transformer is increased or decreased steeply, and at the moment, the similarity degree of voltage curves of the two transformer areas is directly calculated, so that the calculation result is inaccurate.
Chinese patent publication No. CN108564485A (entitled "low voltage transformer area user phase identification method based on voltage curve similarity analysis") proposes a low voltage transformer area user phase identification method based on voltage curve similarity analysis of a smart meter, and determines the similarity of voltage curves by calculating DTW distance. The chinese patent publication No. CN104092481A (entitled: a method for distinguishing between a distribution area and a phase by voltage characteristics) compares the similarity between the voltage curve of a node to be determined and the voltage curve recorded by a concentrator to determine whether the node belongs to the distribution area, wherein the similarity calculation method is a correlation coefficient method. None of the above patents relate to a voltage curve similarity calculation method that is affected by voltage adjustment measures.
Disclosure of Invention
The invention provides a voltage curve similarity calculation method considering the influence of voltage adjustment measures, and the similarity of two voltage curves of a transformer area can be correctly calculated by the method when the voltage adjustment measures exist.
The technical scheme adopted by the invention is as follows:
a voltage curve similarity calculation method considering the influence of voltage adjustment measures comprises the following steps:
A. obtaining distribution transformation related data, wherein the distribution transformation related data comprises: the corresponding relation between the 10kV line and the distribution transformer, the name of the distribution transformer, the address code of the distribution transformer and the three-phase voltage of the distribution transformer;
B. b, preprocessing the distribution transformer outlet voltage data obtained in the step A;
C. b, identifying a voltage catastrophe point according to the distribution transformer outlet voltage data preprocessed in the step B, and segmenting a voltage curve;
D. calculating the similarity of the segmented curves according to the voltage curve segmentation result of the step C;
E. and D, comprehensively judging the similarity of the voltage curves of the two transformer areas according to the similarity result of the sectional curves calculated in the step D.
Further, the preprocessing of the distribution transformer outlet voltage data in the step B specifically includes:
the production management system records the three-phase voltage value of a platform area in one day, records data of one point at regular intervals and N points all day,the A phase voltage value is Ua1，Ua2……UaNAnd the phase voltage value of B is Ub1，Ub2……UbNC phase voltage value is Uc1，Uc2……UcNCalculating the distribution transformer outlet voltage U without considering the influence of three-phase load unbalance by adopting the following formulai：
Wherein U isai、Ubi、UciThe voltage of the ith point A, B, C is 1 … N, UiIn order to not consider the distribution transformer outlet voltage at the ith point when the influence of three-phase load unbalance is not considered, U can be obtained by an iteration methodi。
Further, the voltage discontinuity identification method in the step C comprises:
1) calculating the voltage difference value of the two curves at the corresponding moment; distribution transformer outlet voltage of transformer area 1 is UT1iThe distribution transformer outlet voltage of the transformer area 2 is UT2iWhere i is 1 … … 96. Voltage difference value U of two station areas at corresponding time1i；
U1i＝UT1i-UT2i，i＝1……96
2) Then calculating the variation of the voltage difference; voltage difference U between two stations1iChange amount of (Δ U)1i；
ΔU1i＝U1(i+1)-U1i，i＝1……95
3) Carrying out normal test on the variable quantity through Kolmogorov-Smirnov, and if the variable quantity is subjected to normal distribution, indicating that no mutation point exists; if the normal distribution is not obeyed, the mutation points are shown;
4) and judging abnormal points through the box body diagram, and identifying the positions of the voltage catastrophe points.
Further, the step D of calculating the similarity of the piecewise curves specifically includes:
assuming that there are two mutation points, the positions of the mutation points are respectively k1，k2Since the voltage curve has 96 points, it is based on two protrusionsThe position of the variable point can divide the voltage curve into three sections of [0, k ]1),[k1,k2),[k2,96]Respectively calculating the similarity S of the three voltage curves1，S2，S3。
Further, step E comprehensively judges the similarity between the two voltage curves of the transformer area, specifically: comparing the similarity S of the piecewise curves calculated in the step D1，S2，S3And taking the maximum value as the similarity of the voltage curves of the two transformer areas.
According to the distribution transformer outlet voltage historical operation data-based distribution transformer outlet voltage distribution transformer outlet.
Drawings
FIG. 1 is a schematic flow chart of a voltage curve similarity calculation method in consideration of the influence of voltage adjustment measures according to the present invention;
FIG. 2 is a graph of typical two stage exit voltages (after pre-processing by step B) according to the present invention;
FIG. 3 is a Q-Q diagram of voltage discontinuity detection in accordance with the present invention;
fig. 4 is a box diagram of voltage discontinuity detection according to the present invention.
Detailed Description
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a voltage curve similarity calculation method considering the influence of a voltage adjustment measure according to the present invention, which includes the following steps:
A. obtaining distribution transformation related data, wherein the distribution transformation related data comprises: the corresponding relation between the 10kV line and the distribution transformer, the name of the distribution transformer, the address code of the distribution transformer and the three-phase voltage of the distribution transformer;
B. b, preprocessing the distribution transformer outlet voltage data acquired in the step A
The production management system records three-phase voltage values of a platform area in one day, data of N points are recorded at regular intervals in total every day, and the voltage value of the phase A is Ua1，Ua2……UaNAnd the phase voltage value of B is Ub1，Ub2……UbNC phase voltage value is Uc1，Uc2……UcNCalculating the distribution transformer outlet voltage U without considering the influence of three-phase load unbalance by adopting the following formulai：
Wherein U isai、Ubi、UciThe voltage of the ith point A, B, C is 1 … N, UiIn order to not consider the distribution transformer outlet voltage at the ith point when the influence of three-phase load unbalance is not considered, U can be obtained by an iteration methodi。
C. B, identifying a voltage catastrophe point according to the distribution transformer outlet voltage data preprocessed in the step B, and segmenting a voltage curve;
1) calculating the voltage difference value of the two curves at the corresponding moment; distribution transformer outlet voltage of transformer area 1 is UT1iThe distribution transformer outlet voltage of the transformer area 2 is UT2iWhere i is 1 … … 96. Voltage difference value U of two station areas at corresponding time1i；
U1i＝UT1i-UT2i，i＝1……96
2) Then calculating the variation of the voltage difference; voltage difference U between two stations1iChange amount of (Δ U)1i；
ΔU1i＝U1(i+1)-U1i，i＝1……95
3) Carrying out normal test on the variable quantity through Kolmogorov-Smirnov, and if the variable quantity is subjected to normal distribution, indicating that no mutation point exists; if the normal distribution is not obeyed, the mutation points are shown;
4) and judging abnormal points through the box body diagram, and identifying the positions of the voltage catastrophe points.
D. According to the voltage curve segmentation result of the step C, calculating the similarity of the segmentation curves
Assuming that there are two mutation points, the positions of the mutation points are respectively k1，k2Because the voltage curve has 96 points, the voltage curve can be divided into three sections of [0, k ] according to the positions of two catastrophe points1),[k1,k2),[k2,96]Respectively calculating the similarity S of the three voltage curves1，S2，S3。
E. And D, comprehensively judging the similarity of the voltage curves of the two transformer areas according to the similarity result of the sectional curves calculated in the step D. Comparing the similarity S of the piecewise curves calculated in the step D1，S2，S3And taking the maximum value as the similarity of the voltage curves of the two transformer areas.
The technical scheme and effect of the invention are explained in detail by a specific embodiment as follows:
in the step A, the distribution and transformation outlet voltage data of two transformer areas (a new country transformer area and a next transformer area) supplied by a 10kV public friend pavilion line are obtained from a related system, and the distribution and transformation outlet voltage value of the next transformer area is shown as the following table:
distribution transformer outlet voltage value of channel region in 12018 years, 6 months and 1 day
In step B, the distribution transformer outlet voltage data is preprocessed, and the distribution transformer outlet voltage is calculated without considering the influence of the three-phase load imbalance as shown in fig. 2.
In the step C, 1) calculating a voltage difference value of the two curves at the corresponding moment; distribution transformer outlet voltage of transformer area 1 is UT1iThe distribution transformer outlet voltage of the transformer area 2 is UT2iWhere i is 1 … … 96. Voltage difference value U of two station areas at corresponding time1i；
U1i＝UT1i-UT2i，i＝1……96
2) Then calculating the variation of the voltage difference; voltage difference U between two stations1iChange amount of (Δ U)1i；
ΔU1i＝U1(i+1)-U1i，i＝1……95
3) The results of the normal test on the variation by Kolmogorov-Smirnov and the normal test on the variation of the voltage difference value are shown in the following table, and it can be seen that the p value is 0<0.05, which indicates that the variation of the voltage difference value does not obey positive-too-distribution, and indicates that the outlet voltage of one of the two platform regions has a mutation value. The results of the Q-Q plot shown in fig. 3 also show non-normal distribution compliance.
TABLE 2 results of the normality test
4) And judging abnormal points through the box body diagram, and identifying the positions of the voltage catastrophe points. It is found from the box diagram shown in fig. 4 that there are two abrupt change points, which are the 19 th and 78 th data points (corresponding to the 20 th and 79 th points of the original data), and the voltage curve is divided into three segments according to the positions of the abrupt change points, wherein 1-19 are the first segment, 20-78 are the second segment, and 79-96 are the third segment.
In step D, the positions of the two mutation points are respectively k1＝20，k2When the voltage curve is 79, the voltage curve can be divided into three segments [0,20 ], [20,79 ], [79,96 ] according to the positions of the two discontinuities]Respectively calculating the similarity S of the three voltage curves1，S2，S3Wherein the magnitude of the similarity is represented by calculating a correlation coefficient.
TABLE 3 correlation coefficient segmentation calculation results
| Calculation results | Correlation coefficient |
| Integral body | 0.077 |
| First stage | 0.76 |
| Second section | 0.90 |
| Third stage | 0.93 |
In the step E, according to the calculation result of the step D, the similarity of the third segment is 0.93 at most in the segment similarity, so that the similarity of the two curves is 0.93.
If the similarity of the voltage outlet curves of the two transformer areas is not calculated by adopting the method provided by the invention, the similarity of the voltage outlet curves of the two transformer areas obtained by direct calculation is 0.077, the calculation result is not accurate, and the calculation result is accurate by adopting the method provided by the invention.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (4)
1. A voltage curve similarity calculation method considering the influence of voltage adjustment measures is characterized by comprising the following steps:
A. obtaining distribution transformation related data, wherein the distribution transformation related data comprises: the corresponding relation between the 10kV line and the distribution transformer, the name of the distribution transformer, the address code of the distribution transformer and the three-phase voltage of the distribution transformer;
B. b, preprocessing the distribution transformer outlet voltage data obtained in the step A;
C. b, identifying a voltage catastrophe point according to the distribution transformer outlet voltage data preprocessed in the step B, and segmenting a voltage curve;
D. calculating the similarity of the segmented curves according to the voltage curve segmentation result of the step C;
E. d, comprehensively judging the similarity of the voltage curves of the two transformer areas according to the similarity result of the sectional curves calculated in the step D;
the step C of identifying the voltage catastrophe point specifically comprises the following steps:
1) calculating the voltage difference value of the two curves at the corresponding moment; distribution transformer outlet voltage of transformer area 1 is UT1iThe distribution transformer outlet voltage of the transformer area 2 is UT2iWhere i is 1 … … 96, the voltage difference U between two stations at the corresponding time1i：
U1i＝UT1i-UT2i，i＝1……96
2) Then calculating the variation of the voltage difference; voltage difference U between two stations1iChange amount of (Δ U)1i：
ΔU1i＝U1(i+1)-U1i，i＝1……95
3) Carrying out normal test on the variable quantity through Kolmogorov-Smirnov, and if the variable quantity is subjected to normal distribution, indicating that no mutation point exists; if the normal distribution is not obeyed, the mutation points are shown;
4) and judging abnormal points through the box body diagram, and identifying the positions of the voltage catastrophe points.
2. The voltage curve similarity calculation method considering the influence of the voltage adjustment measure according to claim 1, wherein: the step B of preprocessing the distribution transformer outlet voltage data obtained in the step A specifically comprises the following steps:
the production management system records three-phase voltage values of a platform area in one day, data of N points are recorded at regular intervals in total every day, and the voltage value of the phase A is Ua1，Ua2……UaNAnd the phase voltage value of B is Ub1，Ub2……UbNC phase voltage value is Uc1，Uc2……UcNThe shadow without considering the three-phase load unbalance is calculated by the following formulaTime-of-response distribution transformer outlet voltage Ui：
Wherein U isai、Ubi、UciThe voltage of the ith point A, B, C is 1 … N, UiIn order to not consider the distribution transformer outlet voltage at the ith point when the influence of three-phase load unbalance is not considered, U can be obtained by an iteration methodi。
3. The voltage curve similarity calculation method considering the influence of the voltage adjustment measure according to claim 1, wherein: step D, calculating the similarity of the piecewise curves specifically includes:
assuming that there are two mutation points, the positions of the mutation points are respectively k1，k2Because the voltage curve has 96 points, the voltage curve is divided into three sections of [0, k ] according to the positions of two catastrophe points1),[k1,k2),[k2,96]Respectively calculating the similarity S of the three voltage curves1，S2，S3。
4. A voltage curve similarity calculation method considering the influence of voltage adjustment measures according to claim 3, characterized in that: step E, comprehensively judging the similarity of the voltage curves of the two transformer areas, which specifically comprises the following steps: comparing the similarity S of the piecewise curves calculated in the step D1，S2，S3And taking the maximum value as the similarity of the voltage curves of the two transformer areas.
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| CN111596232B (en) * | 2020-06-15 | 2022-07-05 | 四川中电启明星信息技术有限公司 | Voltage sequence variable point detection-based user variable relation verification method |
| CN112564110B (en) * | 2021-02-24 | 2021-07-02 | 国网江西省电力有限公司电力科学研究院 | Transformer area low-voltage treatment method and system |
| CN114152909A (en) * | 2021-11-29 | 2022-03-08 | 国网江苏省电力有限公司营销服务中心 | Medium-high voltage misalignment analysis system based on big data |
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