CN111596232A - Voltage sequence change point detection-based user variable relationship verification method - Google Patents
Voltage sequence change point detection-based user variable relationship verification method Download PDFInfo
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- CN111596232A CN111596232A CN202010546616.4A CN202010546616A CN111596232A CN 111596232 A CN111596232 A CN 111596232A CN 202010546616 A CN202010546616 A CN 202010546616A CN 111596232 A CN111596232 A CN 111596232A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/66—Testing of connections, e.g. of plugs or non-disconnectable joints
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R25/00—Arrangements for measuring phase angle between a voltage and a current or between voltages or currents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
Abstract
The invention provides a method for verifying a user variable relationship based on voltage sequence variable point detection, which comprises the steps of acquiring intermediate points of voltage curves of a plurality of user electric meters by a linear interpolation method after freezing data of the user electric meters are acquired, calibrating time axes of the plurality of user electric meters to be consistent, dividing the user electric meters into three-phase user electric meters and single-phase user electric meters, comparing the single-phase user electric meters with change data of a voltage general table at a sudden change moment, judging that the single-phase user electric meters belong to a specific certain item in three-phase voltages of the voltage general table through a superposition number of voltage change trends and sudden change moment points, and finally verifying the user variable relationship according to the user variable relationship of the three-phase user electric meters and the single-phase user electric meters to establish a user variable relationship distribution matrix.
Description
Technical Field
The invention belongs to the technical field of phase verification of power distribution networks, and particularly relates to a household variable relation verification method based on voltage sequence variable point detection.
Background
In the conventional verification of the user variable relationship, the similarity of voltage sequence curves between the user tables is judged in manners of Pearson correlation coefficients, KNN algorithm and the like so as to verify the correctness of the user variable relationship. However, the above researches are limited to identification of the household transformation relationship of the distribution station measurement data in an ideal state, and the problems of measurement data errors caused by inconsistency of crystal oscillator clocks of electric meters and analysis of problems of signal crosstalk of the common zero line station area and the like are lacked.
In a distribution station area, voltage frequently fluctuates due to uncertainty of power consumption of an electric power customer, generally, electric meters which are close in electrical distance under the same phase have higher similarity of a voltage curve and lower similarity when the electrical distance is longer, a fraserer algorithm and a euclidean distance algorithm are adopted for carrying out household variable relation verification at present, but due to the fact that the two electric meters are far away, verification accuracy is low, for example, a phase voltage change interval of a total table A of a distribution transformer is 198V-236V, a change interval of a tail end electric meter is 215V-225V, change amplitudes of the two electric meters are inconsistent, and the household variable relation verification accuracy carried out by adopting the voltage curve is lower.
In the prior art, aiming at the problems of high manual verification cost and poor real-time performance of a low-voltage distribution network topological structure, a pure software online verification method of the low-voltage distribution network topological structure based on a Pearson correlation coefficient and a KNN algorithm is provided. Firstly, judging the similarity of a user voltage sequence curve by using a Pearson correlation coefficient, checking the correctness of the station area user-variable relation through a correlation coefficient algorithm, finding out a user with an incorrect user-variable relation, and checking again. Or the algorithm for calculating the similarity of the voltage curves, such as a Freusch method, Euclidean distance and the like, is adopted to realize identification of the household variable relationship, the problem of low accuracy exists, and the algorithm calculates the Freusch distances of the voltage sequences of different electric meters and the voltage sequence of the first electric meter to judge the relationship of the electric meters.
And judging the similarity of voltage sequence curves between the household meters by means of Pearson correlation coefficients, KNN (K nearest neighbor) algorithms, Freusch methods and the like so as to verify the correctness of the household variable relationship. However, such research is limited to identification of the user variation relationship of measurement data in a distribution area in an ideal state, that is, all electric meter clocks in the electric meters are uniform, and comparison is performed under the condition that acquired curve time axes are consistent. The method is realized by adopting a Freusch method to identify the distance between each user electric meter and the distribution transformer, and because the arrangement sequence of the plurality of electric meters is unknown in advance, the voltage change similarity of each phase (A, B, C three phases) is large, the identification of the relationship along the line of the user transformer is inaccurate;
the method is characterized in that identification of the household variable relationship is realized by adopting an algorithm for calculating voltage curve similarity such as Euclidean distance, the problem of low accuracy exists, the algorithm calculates the Frecher distance between different electric meter voltage sequences and a first electric meter voltage sequence to judge the relationship of the electric meters, but because the distance between the electric meters under the transformer is not fixed, if the distance between the two electric meters is long, the accuracy of verification is low, for example, the change interval of the A phase voltage of a total meter of a distribution transformer is 198V-236V, the change interval of a tail end electric meter is 215V-225V, the change amplitudes of the two are inconsistent, and the accuracy of household variable relationship verification by adopting the voltage curve is low.
Interpretation of terms:
changing points: the method includes the steps that observation data change conditions of an ammeter in a power distribution station area at a certain moment are referred to;
a power distribution station area: the distribution station area refers to the power supply range or area of one transformer;
the user-to-user relationship: and the connection relation of the electric meters under each phase in the power distribution station area.
Disclosure of Invention
The invention provides a method for verifying a user-variable relationship based on voltage sequence change point detection, aiming at the problem of low accuracy rate of the user-variable relationship verification in the prior art. According to the invention, the more accurate verification of the household transformation relation of the electricity meters in the power distribution area is realized through the operation.
The specific implementation method of the invention is as follows:
the invention provides a method for verifying a user variable relationship based on voltage sequence variable point detection.
In order to better implement the method, further, the accuracy of the user variable relationship is verified through the voltage sudden change time relationship between the voltage summary table and the user electric meters, a voltage curve of each user electric meter needs to be generated, and a three-phase user electric meter and a single-phase user electric meter in the user electric meters are distinguished according to the voltage curve of the user electric meters.
In order to better realize the method, after a three-phase user electric meter and a single-phase user electric meter in the user electric meters are distinguished, 96-point three-phase voltage data of a voltage general meter per day are respectively compared with all single-phase user electric meter voltage mutation time points in a power distribution area; and comparing data conversion among all the sudden-change time points, and if the voltages of the single-phase user electric meter and the voltage summary table change in the same direction and the changing times are correspondingly consistent, and the superposition number of the sudden-change time points of the single-phase user electric meter and the voltage summary table is more than 90% of the total number of the sudden-change time points, judging that the compared data of the single-phase user electric meter belongs to a certain phase of the three phases of the voltage summary table.
In order to better implement the method, before calibrating the 96-point voltage curve time axis of the user electric meter, firstly, frozen voltage data of the user electric meter at 96 moments each day needs to be collected to serve as a basis for checking the user variable relationship.
In order to better implement the present invention, further, the calibrating the 96-point voltage curve time axis of the user electricity meter is specifically performed by: and obtaining the middle points of the curves of the plurality of user electric meters by adopting a linear interpolation method, so that the time axes of the 96-point voltage curves of the plurality of user electric meters are completely consistent.
In order to better realize the method, after the accuracy of the user variable relationship is verified, a correlation sequence of the electric meter from near to far under each phase of the distribution area is formed, and therefore a user variable relationship distribution matrix is established.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) the method for verifying the user-variable relationship based on voltage sequence variable point detection is adopted, and the problem of inaccurate user-variable relationship of the power distribution station area is solved. In the current method, the current household transformer line relationship is identified by identifying the distance between each user electric meter and a distribution transformer by a Freusch method, because the arrangement sequence of the plurality of electric meters is unknown in advance, the voltage change similarity of each phase (A, B, C three phases) is large, and the household transformer line relationship identification is inaccurate, the three-phase voltage data of 96 points of a total meter each day are respectively compared with all single-phase user electric meters in a distribution area, the data change conditions of the compared points are compared, and if the voltage changes (decreases or increases) in the same direction, the change moments are consistent; if the number of coincident points at the time of the change point between a certain phase of the summary table and the user meter is more than 90 percent of the total number, the user meter is considered to belong to the certain phase, and therefore an accurate user change relation is obtained;
(2) and obtaining intermediate points of the curves of the multiple electric meters by a linear interpolation method so as to ensure that the time axes of 96-point voltage curves of the multiple electric meters are completely consistent, all electric meter clocks in the electric meters are unified, and the acquired curve time axes are compared under the condition of consistency.
Drawings
FIG. 1 is a flow chart embodying the present invention;
FIG. 2 is a schematic diagram of the relationship between the voltage summary table and the three-phase and single-phase user electric meters.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and therefore should not be considered as a limitation to the scope of protection. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Example 1:
the invention provides a method for verifying a user variable relationship based on voltage sequence change point detection, which specifically comprises the following operations as shown in figure 1:
firstly, data cleaning is carried out:
in a distribution station area, due to clock drift of the electric meters, the problem that time axes are inconsistent when the electric meters are frozen at 15 minutes for verifying the user variation relationship is solved. The specific steps are exemplified as follows:
firstly, setting the voltage curve of the user electric meter in the interval [ c, d]There are n different points, the interpolation point is { x1,x2......xnIs interpolated by an interpolation function f (x), the voltage curve V is:
V＝f(x) (1)；
let the interpolation function be
The interpolation error ρ (x) is the function of the interpolated function f (x) minus the interpolation function
If the interpolation error is smaller, a more accurate ammeter voltage data cleaning result can be obtained, and a voltage curve is set at an interpolation point x1Interpolation point x2Has a value of v1、v2Then the voltage curve V is expressed as:
and interpolation function
The following conditions are satisfied:
solving the available voltage curve V:
the inserted sequence is
The linear interpolation method is adopted to calibrate the voltage curve of the electric meter, so that the influence of time axis offset of 96-point voltage data of the electric meter on the identification of the user variation relationship can be effectively eliminated.
Secondly, checking the user variable relationship:
in the distribution area, the voltage fluctuates frequently due to uncertainty of power consumption of the power customers. Generally, the electric meters in the same phase have the same time point of the sudden voltage change. The invention comprehensively considers the failure factors influencing the identification of the household variable relationship, such as different wiring modes of a power distribution area, the urban rural power grid power supply environment and the like, compares whether the voltage mutation points between the general meter and the household meters are consistent at any moment to check the accuracy of the household variable relationship, and can effectively solve the problems that two electric meters are far away from each other under the same phase to cause inconsistent change amplitudes of the two electric meters and the accuracy rate of the household variable relationship check by adopting a voltage curve is lower. Specific operations are exemplified as follows:
firstly, judging whether a user electric meter is a three-phase user electric meter or a single-phase user electric meter according to a voltage curve of the user electric meter; as shown in fig. 2, the voltage summary table is a three-phase voltmeter, and the user electric meters can be divided into a three-phase user electric meter and a single-phase user electric meter according to different characteristics; the three-phase user electric meter and the voltage summary table display three-phase voltage data, while the single-phase user electric meter displays only the voltage data of a specific phase corresponding to a three-phase power supply of the voltage summary table, for example, the three-phase voltage is A, B, C, the single-phase user electric meter may display data of any one of A, B, C, and the data can be judged only by identifying the user variable relationship through checking. In the judgment that the user electric meter is a single-phase user electric meter or a three-phase user electric meter; if the three-phase user ammeter is judged, the user variable relationship can be directly verified; if the single-phase user electric meter is judged, the following operations are continued:
let the voltage of the summary table be U, the number of the collection points be n, and the voltage sequence be { U1......Un}; is provided with m household meters, the voltage of the household meter is UsThe voltage sequence of the household meter is as follows:
let the summary table be the number of edge distribution samples F (U), and the number of user table edge distribution samples F (U)s) The voltage constraint condition is that the value range is [0,400 ]]And then, the constraint of the electric meters of the summary meter and the household meter is as follows:
x(U(t))＝[-400,400](8)；
y(Us(t))＝[-400,400](9)；
suppose k*Constructing a variable point statistic for the variable point time:
the estimated values of the change points are:
comparing the three-phase voltage data of 96 points of the general table every day with all the user electric meters in the power distribution area, comparing the data change conditions among the points, if the voltage changes (decreases or increases) in the same direction and the change time is consistent, and in 96 points every day, the number of coincident points of the change point time between a certain phase of the general table and the user electric meters is more than 90% of the total number, determining that the user electric meter belongs to the certain phase, and thus finishing the user variable relationship verification; the method can effectively avoid the problems that the two electric meters are far away from each other under the same phase, so that the change amplitudes of the two electric meters are inconsistent, and the accuracy rate of the user-variable relationship verification by adopting the voltage curve is low.
Thirdly, generating a user variable relation distribution matrix:
after the house-to-house relationship verification is passed, a house-to-house relationship distribution matrix is established, the number of the electric meters and the three-phase electric meters in each phase of the distribution area is set to be n, the single-phase electric meters in each phase are distributed to be a, b and c, the three-phase electric meters are set to be d, and an electric meter matrix F is set to bed(n) is:
the above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (6)
1. A method for verifying a user variable relation based on voltage sequence variable point detection is characterized in that a 96-point voltage curve time axis of a user electric meter is calibrated, and then the accuracy of the user variable relation is verified through a voltage mutation time relation between a voltage summary table and the user electric meter.
2. The method as claimed in claim 1, wherein the accuracy of the household variable relationship is verified through a voltage jump time relationship between the voltage summary table and the user electric meters, and a voltage curve of each user electric meter is first generated, and a three-phase user electric meter and a single-phase user electric meter in the user electric meters are distinguished according to the voltage curve of the user electric meters.
3. The method as claimed in claim 2, wherein after the three-phase user electric meters and the single-phase user electric meters in the user electric meters are distinguished, the three-phase voltage data of 96 points per day of the voltage general meter are respectively compared with the sudden change time points of the voltages of all the single-phase user electric meters in the power distribution area; and comparing data conversion among all the sudden-change time points, and if the voltages of the single-phase user electric meter and the voltage summary table change in the same direction and the changing times are correspondingly consistent, and the superposition number of the sudden-change time points of the single-phase user electric meter and the voltage summary table is more than 90% of the total number of the sudden-change time points, judging that the compared data of the single-phase user electric meter belongs to a certain phase of the three phases of the voltage summary table.
4. The method as claimed in claim 1, wherein before calibrating the 96-point voltage curve time axis of the user electric meter, it is first required to collect the frozen voltage data of the user electric meter at 96 moments each day as the basis for the verification of the user variable relationship.
5. The voltage sequence change point detection-based user-variable relationship verification method of claim 1, wherein the calibrating the 96-point voltage curve time axis of the user electric meter is specifically performed by: and obtaining the middle points of the curves of the plurality of user electric meters by adopting a linear interpolation method, so that the time axes of the 96-point voltage curves of the plurality of user electric meters are completely consistent.
6. The method for verifying the household variable relationship based on the voltage sequence change point detection as claimed in claim 1, wherein after the accuracy of the household variable relationship is verified, a correlation sequence of the electric meters from near to far in each phase of the distribution area is formed, so that a distribution matrix of the household variable relationship is established.
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| CN112270510A (en) * | 2020-12-21 | 2021-01-26 | 广东电网有限责任公司佛山供电局 | Individual and group voltage similarity-based user variation relationship identification method |
| CN112345955A (en) * | 2020-11-04 | 2021-02-09 | 北京理工大学 | Multi-fault online diagnosis method and system for power battery |
| CN112611997A (en) * | 2020-12-01 | 2021-04-06 | 国网河南省电力公司电力科学研究院 | Online verification method and system for hitching relation of platform area gateway table |
| CN112698123A (en) * | 2020-12-01 | 2021-04-23 | 国网河南省电力公司电力科学研究院 | Low-voltage distribution area user topological relation identification method based on decision tree |
| CN113189422A (en) * | 2021-04-25 | 2021-07-30 | 国网江苏省电力有限公司营销服务中心 | Co-location splitting household construction identification method based on electricity utilization curve DTW |
| CN113297539A (en) * | 2021-05-07 | 2021-08-24 | 天云融创数据科技（北京）有限公司 | Method and device for identifying abnormal user-variant relationship, electronic equipment and medium |
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| CN116068273A (en) * | 2023-03-06 | 2023-05-05 | 中国人民解放军海军工程大学 | High-power shortwave phased array phase detection method |
| CN116482471A (en) * | 2023-06-21 | 2023-07-25 | 四川中电启明星信息技术有限公司 | Household transformer relation identification method based on voltage space-time aggregation curve |
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| CN112611997A (en) * | 2020-12-01 | 2021-04-06 | 国网河南省电力公司电力科学研究院 | Online verification method and system for hitching relation of platform area gateway table |
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| CN113189422B (en) * | 2021-04-25 | 2022-09-30 | 国网江苏省电力有限公司营销服务中心 | Co-location splitting household construction identification method based on electricity utilization curve DTW |
| CN113189422A (en) * | 2021-04-25 | 2021-07-30 | 国网江苏省电力有限公司营销服务中心 | Co-location splitting household construction identification method based on electricity utilization curve DTW |
| CN113297539A (en) * | 2021-05-07 | 2021-08-24 | 天云融创数据科技（北京）有限公司 | Method and device for identifying abnormal user-variant relationship, electronic equipment and medium |
| CN113362076A (en) * | 2021-05-21 | 2021-09-07 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Power distribution network 10kV dual-power-supply user variation relation analysis method |
| CN116068273A (en) * | 2023-03-06 | 2023-05-05 | 中国人民解放军海军工程大学 | High-power shortwave phased array phase detection method |
| CN116068273B (en) * | 2023-03-06 | 2023-06-13 | 中国人民解放军海军工程大学 | High-power shortwave phased array phase detection method |
| CN116482471A (en) * | 2023-06-21 | 2023-07-25 | 四川中电启明星信息技术有限公司 | Household transformer relation identification method based on voltage space-time aggregation curve |
| CN116482471B (en) * | 2023-06-21 | 2023-09-08 | 四川中电启明星信息技术有限公司 | Household transformer relation identification method based on voltage space-time aggregation curve |
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