CN112701675A - Distribution station user phase identification method and system based on screening voltage data - Google Patents
Distribution station user phase identification method and system based on screening voltage data Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/18—Indicating phase sequence; Indicating synchronism
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
Abstract
The invention relates to the technical field of low-voltage distribution network automation, and discloses a distribution substation user phase identification method and system based on screening voltage data, so as to improve the accuracy of user phase relation. The method comprises the following steps: acquiring initial voltage time sequences corresponding to three-phase voltages of the transformer in the transformer area at the same time respectively; screening N time points with the maximum unbalance rates from the corresponding initial voltage time sequences according to the three-phase unbalance rates to construct A, B, C-phase corresponding check voltage time sequences respectively; acquiring data of any user to be verified in the transformer area, and screening voltage data of the user at the time point of the verification voltage time sequence to construct a voltage time sequence of the user; and calculating the dynamic time bending distance between the user own voltage time sequence and the transformer A, B, C phase verification voltage time sequence of the transformer, and judging that the transformer phase corresponding to the verification voltage time sequence with the minimum distance from the user own voltage time sequence is the correct phase of the user.
Description
Technical Field
The invention relates to the technical field of low-voltage distribution network automation, in particular to a distribution substation user phase identification method and system based on screened voltage data.
Background
The topological structure of the low-voltage distribution network area is the basis of the operation management of the distribution network area.
Because the field wiring of the low-voltage user is complex, the data volume is large, the operation mode is changed due to unbalanced load, the variation of the phase relationship is more, the original data is missing and the quality is poorer, and the manually input data is not checked by an effective means, so that more errors of the topological data of the power distribution network in the computer system are caused, and the verification is needed urgently; the method and the device can avoid adverse effects on operation and management of the low-voltage transformer area due to inaccurate recording of the phase relation of the low-voltage transformer area of the power distribution network.
The low-voltage users are generally single-phase loads, and the phase relationship of the users is one of the important contents of the low-voltage topology. The intelligent electric meter can record various kinds of electricity utilization information of the user according to a preset time interval and transmit the information to the data center through the communication network. At present, transformer terminal equipment and most of user intelligent electric meters have the function of collecting electric quantities such as voltage and current for 1 time every 15 minutes, and obtain a large amount of running data of a low-voltage distribution network. In low-voltage distribution networks, the consumer voltage often fluctuates due to load and other factors. The user voltage curve fluctuation similarity of the electrical distance closer is higher, and the user voltage curve fluctuation similarity of the electrical distance farther is lower. Correspondingly, the fluctuation similarity of the user voltage curves of the same phase is higher, and the fluctuation similarity of the user voltage curves of different phase sequences is lower.
At present, the topology verification method of the low-voltage distribution station area can be summarized into 3 types: 1) a manual method; 2) a method using a topology identifier; 3) a method for utilizing electric quantity data of an intelligent electric meter.
Wherein, the manual method mainly depends on manual recording.
The method of utilizing the topology identifier mainly depends on communication information identification, and can realize the station area user identification based on a power line carrier communication mode or a pulse current technology, wherein the station area user identifier based on the carrier communication technology adopts a point-to-point communication mode to test the station area users; when the pulse current technology is adopted, a pincer-shaped current clamp or a flexible coil is matched.
With the wide use of the smart electric meter in the low-voltage distribution network, more and more methods for topology identification and phase identification by using the distribution transformer terminal and the electric quantity measurement data provided by the smart electric meter are used. The Pearson correlation coefficient is used for measuring fluctuation similarity between voltage curves of intelligent electric meters of different users, then the K-means algorithm is used for carrying out cluster analysis on data, users in a distribution area adjacent to the voltage curves are clustered into 3 different phase sequence groups, then the phase sequence of the users in the low-voltage distribution area is identified, and accurate identification of the users in the low-voltage distribution area is achieved. The grey correlation analysis method realizes identification of the station area and the phase of the user based on the measured data.
However, the above conventional methods have the following disadvantages, respectively:
1) the manual method has the problems of high labor cost, low efficiency, low accuracy and the like.
2) The adoption of the topology identification instrument for phase verification requires equipment investment increase, the problems of common high-voltage crosstalk, common ground crosstalk and the like exist, the identification accuracy is influenced, the identification workload is large, a large amount of manpower and material resources are required, and the identification work efficiency is low.
3) The K-means algorithm is usually sensitive to noise and outliers, the clustering center is interfered by abnormal data, and since the noise and outliers are far away from most objects, when the noise and outliers are allocated to a certain cluster, the mean value of the cluster is seriously distorted, the allocation of other objects to the cluster is influenced, so that the position deviation between the mean center and the actual center is too large, and the cluster is "distorted".
4) The grey correlation analysis method is influenced by subjective judgment and the transformer area environment. When the grey correlation degree is calculated, the weight value of each variable is a fixed value, certain subjective judgment exists, and the influence degree of voltage characteristic values on reference points under the conditions of light load, overload and the like cannot be accurately reflected; and the algorithm has low recognition reliability in a complex platform area environment.
Disclosure of Invention
The invention mainly aims to disclose a power distribution station user phase identification method and system based on screening voltage data so as to improve the accuracy of user phase relation.
In order to achieve the above object, the present invention discloses a distribution substation user phase identification method based on screened voltage data, which comprises:
step S1, obtaining initial voltage time sequences respectively corresponding to transformer three-phase voltages A, B, C in the same period;
s2, screening N time points with the maximum unbalance rates from the corresponding initial voltage time sequences according to the three-phase unbalance rates to construct check voltage time sequences respectively corresponding to A, B, C phases;
step S3, determining a target user to be verified of the transformer area, and screening voltage data of the user at the time point of the verification voltage time sequence to construct a voltage time sequence of the user for any target user;
step S4, calculating the dynamic time warping distance between the user voltage time sequence and the transformer A, B, C phase verification voltage time sequence, and determining the transformer phase corresponding to the verification voltage time sequence with the minimum distance from the user voltage time sequence as the correct phase of the user; and then returning to the step S3 until all the target users have been traversed to the correct phase.
In order to achieve the above object, the present invention further discloses a power distribution station user phase identification system based on screened voltage data, which includes a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor implements the steps of the above method when executing the computer program.
The invention has the following beneficial effects:
the unbalance degree of the voltage is measured by utilizing the unbalance rate of the three-phase voltage, namely, a plurality of moments with the maximum unbalance degree of the transformer voltage are screened out for analysis in a long time, and the discrimination of different-phase user voltage curves is improved.
Meanwhile, because a plurality of transformer terminals only provide effective values of three-phase voltages and do not provide phase differences of the three-phase voltages, the method does not adopt a conventional sequence component method to calculate the value of the three-phase unbalance. The adopted DTW distance algorithm is insensitive to mutation or abnormal data of the voltage time sequence, and for voltage time sequences with unequal lengths, the DTW distance algorithm can be accurately aligned through dynamic normalization, so that the problems of different sampling rates and different time scales of the voltage time sequence can be solved; the method is simple to implement, avoids the complexity of the implementation of methods such as clustering and the like, and simultaneously does not need to set the threshold value manually.
Therefore, the accuracy of identifying the users of the power distribution station area is improved, the labor cost is reduced, and the working efficiency is improved. The method is particularly suitable for automatic identification of low-voltage users in the transformer area.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a power distribution station user phase identification method based on screened voltage data according to a preferred embodiment of the present invention.
Fig. 2 is a schematic diagram of the dynamic time warping of the preferred embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
The embodiment discloses a power distribution station user phase identification method based on screening voltage data, as shown in fig. 1, including:
and S1, acquiring initial voltage time sequences respectively corresponding to the transformer three-phase voltages A, B, C in the same period.
And S2, screening N time points with the maximum unbalance rates from the corresponding initial voltage time sequences according to the three-phase unbalance rates of the transformer in the transformer area to construct check voltage time sequences respectively corresponding to A, B, C phases. In this step, N is usually plural and is at least 2 or more.
Preferably, the step calculates the three-Phase imbalance rate (PVUR) according to the following formula:
in the formula of UaveThe average value of the three-phase voltage effective values is obtained; u shapeA、UB、UCIs the effective value of A, B, C three-phase voltage. Namely: PVUR is equal to the ratio of the maximum value of the difference between the three-phase voltage square root value and the average value of the three-phase voltage square root value to the average value of the three-phase voltage square root value.
Step S3, determining the target users to be verified of the transformer area, and for any target user, screening the voltage data of the user at the time point of the verification voltage time sequence to construct the voltage time sequence of the user.
Step S4, calculating the dynamic time warping distance between the user 'S own voltage time series and the transformer A, B, C phase verification voltage time series, and determining that the transformer phase corresponding to the verification voltage time series having the smallest distance from the user' S own voltage time series is the correct phase of the user. And so on, then returning to the step S3 until all the target users have been traversed to the correct phase.
In this step, the sequence a ═ a1,a2,...,am}、B＝{b1,b2,...,bnAnd m and n are the number of elements in the two sequences respectively, and the calculation of the dynamic time warping distance DTW (A, B) specifically comprises the following steps:
wherein p is a corresponding relation set of A and B, d (p)k) Is aiAnd bjS is the total number of elements in p and W is all possibilities of p make up the likelihood space.
In this embodiment, as shown in FIG. 2, a dotted line pkDenotes a in AiAnd B in BjCorrespondingly, abbreviated as pk＝ai^bj. Namely: d (p)k)＝d(ai^bj)＝|ai-bjL. Further, in order to simplify the calculation, in calculating the dynamic time warping distance DTW (a, B), the following constraint is set:
(1) p1＝a1^b1，ps＝am^bn。
(2) for any positive integer k, if k < s, and pk＝ai^bjThen p isk+1Can only be equal to ai+1^bj、ai^bj+1And ai+1^bj+1One of (a); i.e. the dashed lines are closely spaced and do not intersect each other.
Further, the method of this embodiment is exemplified as follows:
(1) firstly, voltage time series data of the low-voltage side of the transformer in 30 days are obtained from the distribution transformer TTU, and voltage time series of each user in the transformer area in the same time period are obtained from the user intelligent electric meter.
(2) Calculating PVUR of the low-voltage three-phase voltage of the distribution transformer at each acquisition moment, then selecting the 30 maximum moments of the PVUR, extracting the three-phase voltage values corresponding to the moments, and reconstructing a discrete time sequence U with the length of 30Φ(n), Φ A, B, C, n 1,2, 3. The constructed discrete time sequence is the verification voltage time sequence.
(3) And extracting user voltage values U corresponding to 30 moments of maximum value of PVUR from the intelligent electric meter of the userm(n), M1, 2, 3.., M, n 1,2, 3.., 30, constructing the user's own voltage time series.
(4) Calculating the DTW distance between the voltage sequence of the user and the calibration voltage time sequence respectively corresponding to the three phases of the transformer A, B, C; the user voltage sequence is located at the smallest distance DTW from which phase voltage sequence of the transformer, and the phase to which the user belongs is determined.
Example 2
The present embodiment discloses a power distribution station user phase identification system based on screened voltage data, which includes a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor implements the steps of the method in embodiment 1 when executing the computer program.
In summary, the power distribution station user phase identification method and system based on the screened voltage data disclosed in the embodiments of the present invention have the following advantages:
the unbalance degree of the voltage is measured by utilizing the unbalance rate of the phase voltage, namely, a plurality of moments with the maximum unbalance degree of the transformer voltage are screened out for analysis in a long time, and the discrimination of different-phase user voltage curves is improved.
Meanwhile, because a plurality of transformer terminals only provide effective values of three-phase voltages and do not provide phase differences of the three-phase voltages, the method does not adopt a conventional sequence component method to calculate the value of the three-phase unbalance. The adopted DTW distance algorithm is insensitive to mutation or abnormal data of the voltage time sequence, and for voltage time sequences with unequal lengths, the DTW distance algorithm can be accurately aligned through dynamic normalization, so that the problems of different sampling rates and different time scales of the voltage time sequence can be solved; the method is simple to implement, avoids the complexity of the implementation of methods such as clustering and the like, and simultaneously does not need to set the threshold value manually.
Therefore, the accuracy of identifying the users of the power distribution station area is improved, the labor cost is reduced, and the working efficiency is improved. The method is particularly suitable for automatic identification of low-voltage users in the transformer area.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A distribution station user phase identification method based on screening voltage data is characterized by comprising the following steps:
step S1, obtaining initial voltage time sequences respectively corresponding to transformer three-phase voltages A, B, C in the same period;
s2, screening N time points with the maximum unbalance rates from the corresponding initial voltage time sequences according to the three-phase unbalance rates of the transformer in the transformer area to construct check voltage time sequences respectively corresponding to A, B, C phases;
step S3, determining a target user to be verified of the transformer area, and screening voltage data of the user at the time point of the verification voltage time sequence to construct a voltage time sequence of the user for any target user;
step S4, calculating the dynamic time warping distance between the user voltage time sequence and the transformer A, B, C phase verification voltage time sequence, and determining the transformer phase corresponding to the verification voltage time sequence with the minimum distance from the user voltage time sequence as the correct phase of the user; and then returning to the step S3 until all the target users have been traversed to the correct phase.
2. The distribution substation user phase identification method based on the screened voltage data as claimed in claim 1, wherein the calculation formula of the three-phase unbalance rate of the substation transformer is as follows:
wherein ε represents the three-phase imbalance ratio, UaveThe average value of the three-phase voltage effective values is obtained; u shapeA、UB、UCIs the effective value of A, B, C three-phase voltage.
3. Distribution substation user phase identification method based on screening voltage data according to claim 1 or 2, characterized in that the sequence a ═ { a ═ a1,a2,...,am}、B＝{b1,b2,...,bnAnd m and n are the number of elements in the two sequences respectively, and the calculation of the dynamic time warping distance DTW (A, B) specifically comprises the following steps:
wherein p is a corresponding relation set of A and B, d (p)k) Is aiAnd bjS is the total number of elements in p and W is all possibilities of p make up the likelihood space.
4. The distribution substation user phase identification method based on screened voltage data according to claim 3, characterized in that in the process of calculating the dynamic time warping distance DTW (A, B), the following constraints are set:
(1)p1＝a1^b1，ps＝am^bn；
(2) for any positive integer number k, the number k,if k < s, and pk＝ai^bjThen p isk+1Can only be equal to ai+1^bj、ai^bj+1And ai+1^bj+1One of (a);
wherein d (p)k)＝d(ai^bj)＝|ai-bj|。
5. A distribution substation user phase identification system based on screened voltage data, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 4 when executing the computer program.
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| 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 |
| CN113780440A (en) * | 2021-09-15 | 2021-12-10 | 江苏方天电力技术有限公司 | Low-voltage station area phase identification method for improving data disturbance resistance |
| CN115081933A (en) * | 2022-07-20 | 2022-09-20 | 广东电网有限责任公司佛山供电局 | Low-voltage user topology construction method and system based on improved spectral clustering |
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| CN117353316A (en) * | 2023-12-04 | 2024-01-05 | 柏恩（惠州）电业有限公司 | Modularized electric intelligent control method and system |
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Application publication date: 20210423 |