CN113075468A - Phase determination method based on low-voltage user - Google Patents
Phase determination method based on low-voltage user Download PDFInfo
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- CN113075468A CN113075468A CN202110031754.3A CN202110031754A CN113075468A CN 113075468 A CN113075468 A CN 113075468A CN 202110031754 A CN202110031754 A CN 202110031754A CN 113075468 A CN113075468 A CN 113075468A
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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Abstract
A phase determination method based on low-voltage users. Selecting a power distribution area, and simultaneously acquiring load data of public transformers and users of the power distribution area within a time delta T by a period T; setting a current threshold, taking data acquired at the same time point as a data group, and eliminating the data group of which the current is greater than the threshold from load data to obtain a first data packet; calculating a theoretical power factor and an actual power factor of a first data packet user; calculating the correlation between the theoretical power factor and the actual power factor, and screening the first data packet according to the correlation to obtain a second data packet; calculating the reliability P of the user voltage in the second data packetxAnd the reliability P of the common voltage in the second data packetyIs established on the basis of PxAnd PyThe phase determination model of (1) determines the phase of the user. The invention has the beneficial effects that: 1. calculating and screening parameters twice to eliminate data with interference; 2. the final judgment only needs to calculate and compare, and the program is simple and convenient(ii) a 3. The phase difference can be judged for single-phase users and multi-phase users.
Description
Technical Field
The invention relates to the technical field of low-voltage power distribution networks, in particular to a phase discrimination determination method based on low-voltage users.
Background
With the updating of power grid electricity information acquisition systems and acquisition equipment and the application of technologies such as object-oriented data exchange protocols and 5G mobile communication networks, the collection of user electricity data becomes more comprehensive and complete, and more methods are provided for transformer area user variable relation identification, line loss investigation and operation monitoring. The power grid enterprise can provide a better service for the user only by mastering more complete distribution network information, and by taking the situation as a starting point, the corresponding relation between the user and the public transformation phase must be mastered preferentially, namely, the user is judged.
For example, a clustering method for identifying the phase relation of low-voltage single-phase users disclosed in chinese patent publication No. CN110321919A is based on a data mining analysis technique, and makes full use of the data of a metering automation system to perform clustering analysis on the measured data of a user smart meter, so as to identify the phase relation of the users in which the low-voltage single-phase users are connected to a distribution transformer in a phase sequence. However, the method for identifying the facies of the user in the patent lacks a necessary data screening process and is more complicated for final judgment of the facies.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: at present, a precise and simple method for judging the phase of a low-voltage user is lacked, and a phase judgment method based on the low-voltage user is provided.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
selecting a power distribution area, and simultaneously acquiring load data of a public transformer and a user of the power distribution area within a time delta T by a period T;
setting a current threshold, taking data acquired at the same time point as a data group, and eliminating the data group of which the current is greater than the threshold from the load data to obtain a first data packet;
calculating a common theoretical power factor and an actual power factor of a user according to the data in the first data packet;
calculating the correlation between the theoretical power factor and the actual power factor, and screening the first data packet according to the correlation to obtain a second data packet;
calculating the reliability P of the user voltage in the second data packetxAnd the reliability P of the common voltage in the second data packetyIs established on the basis of PxAnd PyThe phase determination model of (1) determines the phase of the user.
After the common variation and user load data of the power distribution station area are obtained, data which can generate interference are screened and checked through statistical calculation, then credibility is introduced, an algorithm model is established based on the credibility, and each phase of a user is judged according to a phase judgment model.
Preferably, the method for setting the current threshold includes:
and acquiring the daily electric quantity of the users in the power distribution area, calculating daily current, and setting a preset threshold value.
By
To obtain
By
To obtain
The larger the user current is, the larger the voltage difference between the common change and the user is, and the lower the expression correlation is, so that the data with extremely large individual current is rejected, and the accuracy of final phase discrimination judgment can be improved.
Preferably, the theoretical power factor calculation formula is
Wherein, PHouseholdFor active power of the user, UA、UB、UCUser phase A, B and C voltages, IA、IB、ICUser phase A, B and C currents.
Preferably, the calculation formula of the correlation between the theoretical power factor and the actual power factor is
Wherein m isiFor the ith theoretical power factor, n, in the first data packetiFor the ith actual power factor in the first packet,
is an arithmetic average of the theoretical power factor in the first packet,
the sequence number is the sum of the sequences of the first data packet and the second data packet which are screened and rejected twice.
The correlation calculation formula adopts a pierce formula, and the larger the absolute value of the correlation coefficient is, the stronger the correlation is: the closer the correlation coefficient is to 1 or-1, the stronger the correlation, the closer the correlation coefficient is to 0, and the weaker the correlation.
Preferably, the method for screening the first data packet is as follows:
if the correlation r is smaller than 0.8, calculating the difference value between the theoretical power factor and the actual power factor, and eliminating data with the absolute value of the difference value larger than 0.1 to obtain a second data packet;
if the calculated correlation r is more than or equal to 0.8, all data are reserved as a second data packet.
If the correlation is greater than or equal to 0.8, it means that there is a strong correlation between the theoretical power factor and the actual power factor as a whole, and if the correlation is less than 0.8, it means that the individual data are deviated due to voltage fluctuation or the like, and need to be discarded.
Preferably, the calculation formula of the reliability in the phase discrimination model is
Px＝1-(|F(x，μ，σ)|-0.5)*2
Wherein x is the user voltage in the second data packet, and F (x, mu, sigma) is the cumulative distribution function of the user voltage normal distribution in the second data packet;
Py＝1-(|F(y，μ，σ)|-0.5)*2
wherein y is the common variable voltage in the second data packet, and F (y, mu, sigma) is the cumulative distribution function of the positive distribution of the common variable voltage in the second data packet.
According to the central limit theorem, the voltage data of the second data packet necessarily obeys normal distribution, and the credibility of each phase in the second data packet is calculated independently.
Preferably, the calculation formula of the cumulative distribution function of the normal distribution of the user voltage is
Wherein x isiFor the ith voltage of the second packet user voltage, mu is the expectation of the random variation of the second packet user voltage, sigma2The rejection sequence number is the sequence sum of the first data packet and the second data packet which are subjected to twice screening and rejection;
the calculation formula of the cumulative distribution function of the positive distribution of the common voltage is
Wherein, yiThe ith voltage is the common voltage of the second data packet, mu is the expectation of the user voltage random variable of the second data packet, sigma2And the standard deviation of the random variable of the voltage is changed for the second data packet.
Preferably, the phase correlation calculation formula of the phase determination model is
And the number of the removed sequences is the sum of the sequences of the first data packet and the second data packet which are removed by screening twice.
The load data are subjected to primary data elimination through a current threshold value to obtain a first data packet, the first data packet is subjected to power factor correlation screening to obtain a second data packet, and N is the total data sequence number of the second data packet.
Preferably, the method for determining the user phase is as follows:
calculating the phase correlation of each phase of the user and the common change in the second data packet;
and the phase with the phase correlation of the common change being closest to the phase correlation of the obtained user phase is the phase of the user.
For single-phase users, only the phase difference correlation of the single phase of the user needs to be calculated, and then the phase difference correlation is compared with the public variable phase correlation, and the closest phase difference is selected as the user phase difference; for multi-phase users, each phase of the user needs to be calculated respectively, and the phase-by-phase and common variation are compared to judge the phase of the user.
The invention has the beneficial effects that: 1. calculating and screening parameters twice to eliminate data with interference; 2. the final judgment only needs to calculate and compare, and the program is simple and convenient; 3. the phase difference can be judged for single-phase users and multi-phase users.
Drawings
FIG. 1 is a flowchart of a method according to a first embodiment.
Detailed Description
The following further describes the embodiments of the present invention by means of specific examples, in conjunction with the accompanying drawings.
The first embodiment is as follows:
a phase determination method based on low-voltage users, as shown in fig. 1, includes:
selecting a power distribution area, and simultaneously acquiring load data of public transformer and users of the power distribution area in a period T within a time T.
Taking the example of 1 day time T and 15 minutes period T, 96 pieces of load data are available in one day. And acquiring daily electric quantity of users in the power distribution area, calculating daily current, taking 5A as a preset threshold as an example, taking data acquired at the same time point as a data group, and eliminating the data group of which the current is more than 5A in the load data.
By
To obtain
By
To obtain
The larger the user current is, the larger the voltage difference between the common change and the user is, and the lower the expression correlation is, so that the data with extremely large individual current is rejected, and the accuracy of final phase discrimination judgment can be improved.
Obtaining a first data packet;
calculating the theoretical power factor of the first data packet user, and recording the actual power factor, wherein the theoretical power factor calculation formula is
Wherein, PHouseholdFor the userActive power of UA、UB、UCUser phase A, B and C voltages, IA、IB、ICUser phase A, B and C currents.
Calculating the correlation between the theoretical power factor and the actual power factor, wherein the calculation formula of the correlation between the theoretical power factor and the actual power factor is
Wherein m isiFor the ith theoretical power factor, n, in the first data packetiFor the ith actual power factor in the first packet,
is an arithmetic average of the theoretical power factor in the first packet,
the sequence number is the sum of the sequences of the first data packet and the second data packet which are screened and rejected twice.
The correlation calculation formula adopts a pierce formula, and the larger the absolute value of the correlation coefficient is, the stronger the correlation is: the closer the correlation coefficient is to 1 or-1, the stronger the correlation, the closer the correlation coefficient is to 0, and the weaker the correlation.
Screening the first data packet, if the correlation r is smaller than 0.8, calculating a difference value between a theoretical power factor and an actual power factor, and rejecting data with the absolute value of the difference value larger than 0.1 to obtain a second data packet;
if the calculated correlation r is more than or equal to 0.8, all data are reserved as a second data packet.
If the correlation is greater than or equal to 0.8, it means that there is a strong correlation between the theoretical power factor and the actual power factor as a whole, and if the correlation is less than 0.8, it means that the individual data are deviated due to voltage fluctuation or the like, and need to be discarded.
Calculating the reliability P of the user voltage in the second data packetxAnd the reliability P of the common voltage in the second data packetyIs established on the basis of PxAnd PyThe phase determination model of (1) determines the phase of the user. The calculation formula of the confidence is Px＝1-(|F(x，μ，σ)|-0.5)*2
Wherein x is the user voltage in the second data packet, and F (y, μ, σ) is the cumulative distribution function of the user voltage normal distribution in the second data packet;
Py＝1-(|F(y，μ，σ)|-0.5)*2
where y is the common voltage in the second packet and F (y, μ, σ) is the cumulative distribution function of the positive distribution of the common voltage in the second packet.
According to the central limit theorem, the voltage data of the second data packet necessarily obeys normal distribution, and the credibility of each phase in the second data packet is calculated independently.
The cumulative distribution function of the normal distribution of the user voltage is calculated as
Wherein x isiFor the ith voltage of the second packet user voltage, mu is the expectation of the random variation of the second packet user voltage, sigma2The standard deviation of the common variable voltage random variable of the second data packet is used, and the rejection sequence number is the sequence sum of the first data packet and the second data packet which are subjected to twice screening rejection;
the calculation formula of the cumulative distribution function of the positive distribution of the common voltage is
Wherein, yiThe ith voltage is a common voltage for the second data packet, mu isExpectation of random variable of user voltage of second data packet, sigma2And the standard deviation of the random variable of the voltage is disclosed for the second data packet.
The phase correlation calculation formula of the phase decision model is
And the number of the removed sequences is the sum of the sequences of the first data packet and the second data packet which are removed by screening twice.
The load data are subjected to primary data elimination through a current threshold value to obtain a first data packet, the first data packet is subjected to power factor correlation screening to obtain a second data packet, and N is the total data sequence number of the second data packet.
The specific steps for judging the phase of the user are as follows:
calculating the phase correlation of each phase of the user and the common change in the second data packet;
the phase with the most similar correlation between the public variable and the phase of the user phase is the phase of the user.
For single-phase users, only the phase difference correlation of the single phase of the user needs to be calculated, and then the phase difference correlation is compared with the public variable phase correlation, and the closest phase difference is selected as the user phase difference; for multi-phase users, each phase of the user needs to be calculated respectively, and the phase-by-phase and common variation are compared to judge the phase of the user.
After the common variation and user load data of the power distribution station area are obtained, data which can generate interference are screened and checked through statistical calculation, then credibility is introduced, an algorithm model is established based on the credibility, and each phase of a user is judged according to a phase judgment model.
The invention has the beneficial effects that: 1. calculating and screening parameters twice to eliminate data with interference; 2. the final judgment only needs to calculate and compare, and the program is simple and convenient; 3. the phase difference can be judged for single-phase users and multi-phase users.
The above embodiment is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the technical scope of the claims.
Claims (9)
1. A phase determination method based on low-voltage users is characterized by comprising the following steps:
selecting a power distribution area, and simultaneously acquiring load data of a public transformer and a user of the power distribution area within a time T in a period T;
setting a current threshold, taking data acquired at the same time point as a data group, and eliminating the data group of which the current is greater than the threshold from the load data to obtain a first data packet;
calculating a theoretical power factor of a user and copying an actual power factor according to the data in the first data packet;
calculating the correlation between the theoretical power factor and the actual power factor, and screening the first data packet according to the correlation to obtain a second data packet;
calculating the reliability P of the user voltage in the second data packetxAnd the reliability P of the common voltage in the second data packetyIs established on the basis of PxAnd PyThe phase determination model of (1) determines the phase of the user.
2. The low-voltage user-based phase determination method according to claim 1, wherein the method for setting the current threshold comprises:
and acquiring the daily electric quantity of the users in the power distribution area, calculating daily current, and setting a preset threshold value.
3. The phase discrimination method based on low-voltage users according to claim 1 or 2, wherein the theoretical power factor calculation formula is
Wherein, PHouseholdFor active power of the user, UA、UB、UCAre respectively provided withFor the user phase A, B and C voltages, IA、IB、ICUser phase A, B and C currents.
4. The phase discrimination method based on low-voltage users according to claim 1, wherein the correlation calculation formula between the theoretical power factor and the actual power factor is
，i＝1，2...N，
Wherein m isiFor the ith theoretical power factor, n, in the first data packetiFor the ith actual power factor in the first packet,
is an arithmetic average of the theoretical power factor in the first packet,
the sequence number is the sum of the sequences of the first data packet and the second data packet which are screened and rejected twice.
5. The low-voltage user-based phase determination method according to claim 4, wherein the method for screening the first data packet comprises:
if the correlation r is smaller than 0.8, calculating the difference value between the theoretical power factor and the actual power factor, and eliminating data with the absolute value of the difference value larger than 0.1 to obtain a second data packet;
if the calculated correlation r is more than or equal to 0.8, all data are reserved as a second data packet.
6. The low-voltage user-based phase determination method according to claim 1, wherein P in the phase determination modelxAnd PyIs calculated as
Px＝1-(|F(x，μ，σ)|-0.5)*2
Wherein x is the user voltage in the second data packet, and F (x, mu, sigma) is the cumulative distribution function of the user voltage normal distribution in the second data packet;
Py＝1-(|F(y，μ，σ)|-0.5)*2
wherein y is the common variable voltage in the second data packet, and F (y, mu, sigma) is the cumulative distribution function of the positive distribution of the common variable voltage in the second data packet.
7. The low-voltage user-based phase determination method according to claim 6, wherein the cumulative distribution function of the normal distribution of the user voltage is expressed as
，i＝1，2...N，
Wherein x isiFor the ith voltage of the second packet user voltage, mu is the expectation of the random variation of the second packet user voltage, sigma2The rejection sequence number is the sequence sum of the first data packet and the second data packet which are subjected to twice screening and rejection;
the cumulative distribution function relation of the positive distribution of the common voltage is
，i＝1，2...N，
Wherein, yiThe ith voltage is the common voltage of the second data packet, mu is the expectation of the user voltage random variable of the second data packet, sigma2And the standard deviation of the random variable of the voltage is changed for the second data packet.
8. The low-voltage user-based phase discrimination method according to claim 6, wherein the phase discrimination correlation calculation formula of the phase discrimination model is
，i＝1，2...N，
And the number of the removed sequences is the sum of the sequences of the first data packet and the second data packet which are removed by screening twice.
9. The low-voltage user-based phase determination method according to claim 8, wherein the method of determining the phase of the user comprises:
calculating the phase correlation of each phase of the user and the common change in the second data packet;
and the phase with the phase correlation of the common change being closest to the phase correlation of the obtained user phase is the phase of the user.
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| CN113484804A (en) * | 2021-06-02 | 2021-10-08 | 青岛鼎信通讯股份有限公司 | Wrong wiring identification method applied to feeder line terminal device |
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