CN113484626B - Method and related device for detecting potential three-phase unbalance of power distribution network area - Google Patents

Method and related device for detecting potential three-phase unbalance of power distribution network area Download PDF

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CN113484626B
CN113484626B CN202110897587.0A CN202110897587A CN113484626B CN 113484626 B CN113484626 B CN 113484626B CN 202110897587 A CN202110897587 A CN 202110897587A CN 113484626 B CN113484626 B CN 113484626B
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load data
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user
distance
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CN113484626A (en
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潘姝慧
秦丽文
白浩
周杨珺
周长城
李欣桐
袁智勇
黄伟翔
雷金勇
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China South Power Grid International Co ltd
Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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    • 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
    • G01R29/16—Measuring asymmetry of polyphase networks
    • 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
    • H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract

The application discloses a method for detecting potential three-phase unbalance of a power distribution network area and a related device thereof, wherein node, segment and curve phase sequence judgment coefficients of user load data and each phase load data are calculated in sequence according to the distance between the acquired user load data and each phase load data in the three-phase load data of a transformer substation; when the node phase sequence judgment coefficient of the user load data and the target phase load data is larger than or equal to the node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to the segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to the curve phase sequence judgment coefficient threshold value, judging that the user load data belongs to the corresponding phase of the target phase load data; judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and if so, outputting unbalance early warning; the technical problems that a large amount of manpower and time are required to be consumed, the detection efficiency is low, the residential electricity experience is affected, and the discrimination precision is low in the prior art are solved.

Description

Method and related device for detecting potential three-phase unbalance of power distribution network area
Technical Field
The application relates to the technical field of power distribution networks, in particular to a method for detecting potential three-phase unbalance of a power distribution network area and a related device thereof.
Background
The distribution network is not managed in place in the long-term development process, technical measures are behind, and no complete information account is available. The voltage edge layout, the single line diagram and the standing book data in the GIS system of the current distribution network are perfect, but the original low-voltage data is migrated to a new GIS system to not update the edge layout in time, so that the low-voltage basic data is imperfect.
In the rapid increase of residential electricity, nearby wiring is carried out according to the residential electricity, so that the low-voltage distribution network is in disordered development. The phase sequence of the users of the power distribution network cannot be determined, and in the follow-up planning construction, more users are easily connected to one another, so that three-phase imbalance occurs.
At present, the method for detecting the potential three-phase unbalance mainly adopts ABC three-phase manual power failure one by one, judges a certain phase access user according to the power failure alarm information of an ammeter, manually records user information and establishes a phase sequence ledger.
Disclosure of Invention
The application provides a power distribution network area potential three-phase unbalance detection method and a related device thereof, which are used for solving the technical problems that the existing potential three-phase unbalance detection method needs to consume a large amount of manpower and time, has low detection efficiency, influences the residential electricity experience and has low potential three-phase unbalance discrimination precision.
In view of this, a first aspect of the present application provides a method for detecting a potential three-phase imbalance in a power distribution network, including:
acquiring user load data and three-phase load data of a transformer substation according to a preset acquisition frequency and an acquisition period;
sequentially calculating a node phase sequence judgment coefficient, a segment phase sequence judgment coefficient and a curve phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation;
when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is larger than or equal to a node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to a segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to a curve phase sequence judgment coefficient threshold value, judging that the user load data belongs to the corresponding phase of the target phase load data;
And counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and if so, outputting unbalance early warning.
Optionally, the collecting the user load data and the three-phase load data of the transformer substation according to the preset collecting frequency and collecting period further includes:
after the user load data and the three-phase load data of the transformer substation are converted into frequency domain data or time-frequency domain data, the low-frequency information and the high-frequency information in the converted user load data and the three-phase load data of the transformer substation are removed through a preset band-pass filtering frequency, and then the converted user load data and the three-phase load data of the transformer substation after the filtering processing are inversely converted into time domain data.
Optionally, calculating a node phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, including:
calculating the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation to obtain the distance under each phase;
counting the number of the distances under each phase which is larger than or equal to a distance threshold value respectively;
And calculating the node phase sequence judgment coefficients of the user load data and the phase load data according to the quantity under each phase and the length of the phase load data.
Optionally, sequentially calculating segment phase sequence judgment coefficients of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, including:
taking the user load data as a reference, calculating a first segment coefficient of the user load data and each phase load data according to a first preset formula according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
Figure BDA0003198461810000031
calculating a second segment coefficient of the user load data and each phase load data according to a second preset formula by taking each phase load data as a reference and according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the second preset formula is as follows:
Figure BDA0003198461810000032
wherein tpps is x1 、tpps x2 A first segment coefficient and a second segment coefficient of the user load data and the x-phase load data respectively, n is the length of the user load data and the load data of each phase, d (y) pj ,x i ) The distance between the jth load data and the ith x-phase load data of the p-th user;
and calculating segment phase sequence judgment coefficients of the user load data and each phase load data according to the first segment coefficients and the second segment coefficients of the user load data and each phase load data.
Optionally, calculating the curve phase sequence judgment coefficient of the user load data and each phase load data in sequence according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, including:
generating a distance matrix under each phase according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation;
calculating a distance average value under each phase according to the maximum distance and the minimum distance in the distance matrix under each phase, and taking the distance average value under each phase as an intermediate variable under each phase;
determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase;
setting the value of each element in the distance matrix under each phase belonging to the first range section to be 1, and setting the value of each element in the distance matrix under each phase belonging to the second range section to be 0, so as to obtain a new distance matrix under each phase;
When the new distance matrix under each phase meets a preset condition, setting a curve phase sequence judgment coefficient of the user load data and each phase load data as the reciprocal of the intermediate variable;
and when the new distance matrix under each phase does not meet the preset condition, updating the intermediate variable under each phase according to the difference value of the maximum distance and the minimum distance under each phase, and returning to the step of determining a first range section according to the maximum distance and the intermediate variable under each phase and determining a second range section according to the intermediate variable and the minimum distance under each phase.
Optionally, the step of judging whether the potential three-phase imbalance exists according to the number of the user loads under each phase, if yes, outputting an imbalance early warning, includes:
calculating three-phase unbalance early warning coefficients according to the maximum value of the user load quantity and the total user load quantity under each phase;
and judging whether the three-phase unbalance early warning coefficient is larger than or equal to an unbalance early warning threshold value, if so, judging that potential three-phase unbalance exists, and outputting unbalance early warning.
The second aspect of the present application provides a device for detecting potential three-phase imbalance in a power distribution network station, comprising:
The acquisition unit is used for acquiring user load data and three-phase load data of the transformer substation according to preset acquisition frequency and acquisition period;
the calculation unit is used for sequentially calculating a node phase sequence judgment coefficient, a segment phase sequence judgment coefficient and a curve phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation;
the phase judgment unit is used for judging that the user load data belongs to the phase corresponding to the target phase load data when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is larger than or equal to a node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to a segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to a curve phase sequence judgment coefficient threshold value;
and the three-phase unbalance judging unit is used for counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and outputting unbalance early warning if the potential three-phase unbalance exists.
Optionally, the method further comprises:
The preprocessing unit is used for converting the user load data and the three-phase load data of the transformer substation into frequency domain data or time-frequency domain data, removing low-frequency information and high-frequency information in the converted user load data and the three-phase load data of the transformer substation through preset band-pass filtering frequency, and inversely converting the converted user load data and the three-phase load data of the transformer substation into time domain data after filtering.
A third aspect of the present application provides a power distribution network zone potential three-phase imbalance detection apparatus, the apparatus comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for detecting a potential three-phase imbalance of a power distribution network station according to any one of the first aspects according to instructions in the program code.
A fourth aspect of the present application provides a computer readable storage medium for storing program code for performing the method for detecting a potential three-phase imbalance of a distribution network station according to any one of the first aspects.
From the above technical scheme, the application has the following advantages:
The application provides a method for detecting potential three-phase imbalance of a power distribution network station, which comprises the following steps: acquiring user load data and three-phase load data of a transformer substation according to a preset acquisition frequency and an acquisition period; sequentially calculating node phase sequence judgment coefficients, segment phase sequence judgment coefficients and curve phase sequence judgment coefficients of the user load data and each phase load data according to the distances between the user load data and each phase load data in the three-phase load data of the transformer substation; when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is larger than or equal to the node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to the segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to the curve phase sequence judgment coefficient threshold value, judging that the user load data belongs to the corresponding phase of the target phase load data; and counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and if so, outputting unbalance early warning.
In the method, the similarity judgment coefficients of the discrete nodes, the short period continuous judgment and the long period continuous curve are calculated to judge the correspondence of the user load data, so that the accuracy is high; after the user is determined, whether potential three-phase unbalance exists or not is judged according to the number of the user loads under each phase, and the acquired user load data and the three-phase load data of the transformer substation are subjected to data analysis, so that excessive manual interference is not needed, power production and resident electricity consumption are not influenced, a plurality of transformer areas can be synchronously detected, the detection efficiency is high, and the technical problems that a large amount of manpower and time are required to be consumed, the detection efficiency is low, the resident electricity experience is influenced, and the potential three-phase unbalance discrimination precision is low in the existing potential three-phase unbalance detection method are solved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for detecting potential three-phase imbalance in a power distribution network area according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a device for detecting potential three-phase imbalance in a power distribution network area according to an embodiment of the present application.
Detailed Description
The application provides a power distribution network area potential three-phase unbalance detection method and a related device thereof, which are used for solving the technical problems that the existing potential three-phase unbalance detection method needs to consume a large amount of manpower and time, has low detection efficiency, influences the residential electricity experience and has low potential three-phase unbalance discrimination precision.
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
For ease of understanding, referring to fig. 1, an embodiment of a method for detecting a potential three-phase imbalance of a power distribution network station provided in the present application includes:
and step 101, acquiring user load data and three-phase load data of the transformer substation according to a preset acquisition frequency and an acquisition period.
The collection frequency and the collection period can be set before the load data are collected, the collection frequency is set according to the actual production environment and the conditions of the communication station, the collection frequency is at least one data point every 15 minutes, one data point every 3 minutes is recommended, the data collection length is determined through the collection period, and 15 days of data are generally taken.
After the acquisition frequency and the acquisition period are set, acquiring user load data Y and three-phase load data X of the transformer substation according to the preset acquisition frequency and the acquisition period, wherein the three-phase load data X of the transformer substation comprises three-phase load data of A phase, B phase and C phase, and the three-phase load data X is marked as X= { X A ，X B ,X C User load data of the p-th user is Y (p) = { Y } pj And (p=1, 2, …, c; j=1, 2, i.e., n), c being the number of users and n being the length of each user load data, the user load data and the three-phase load data of the transformer substation have the same length as each other because the acquisition frequency and the acquisition period of the user load data and the three-phase load data of the transformer substation are identical.
And 102, sequentially calculating a node phase sequence judgment coefficient, a segment phase sequence judgment coefficient and a curve phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation.
The user load data and the three-phase load data of the transformer substation can be preprocessed before being subjected to data analysis. Specifically, after user load data and three-phase load data of the transformer substation are converted into frequency domain data or time-frequency domain data, low-frequency information and high-frequency information in the converted user load data and the three-phase load data of the transformer substation are removed through preset band-pass filtering frequency, and then the converted user load data and the three-phase load data of the transformer substation after filtering processing are inversely converted into time domain data.
The data conversion method can be fourier transform, wavelet transform, hilbert yellow transform or the like, the low-pass cut-off frequency in the band-pass filtering frequency range is generally smaller than 20Hz, and the high-pass cut-off frequency is generally larger than 200Hz.
After preprocessing the user load data and the three-phase load data of the transformer substation, sequentially calculating a node phase sequence judgment coefficient, a segment phase sequence judgment coefficient and a curve phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation.
The specific process of calculating the node phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation can be as follows:
a1, calculating the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation, and obtaining the distance under each phase.
Calculating user load data y pj Load data x of each phase in three-phase load data of transformer substation i Distance d (y) pj ,x i ) The distance calculation method may be a cosine distance, a euclidean distance, or the like.
A2, counting the number of distances under each phase which is larger than or equal to the distance threshold value respectively.
Set the number tnps at the same x x When d (y) =0 pj ,x i ) Setting the quantity tnps when epsilon is not less than x ＝tnps x +1 until i=j=n, yielding the number tnps= { tnps for each phase A ,tnps B ,tnps C }. Where ε is the distance threshold, x i For the ith x-phase load data, x=a, B, C.
And A3, calculating the node phase sequence judgment coefficients of the user load data and the phase load data according to the quantity under each phase and the length of the phase load data.
Calculating a node phase sequence judgment coefficient of the user load data and each phase load data according to the quantity under each phase and the length of each phase load data, wherein the node phase sequence judgment coefficient nps of the user load data of the p-th user and the x-phase load data px The calculation formula of (2) can be:
Figure BDA0003198461810000071
the specific process of sequentially calculating the segment phase sequence judgment coefficients of the user load data and the phase load data according to the distance between the user load data and the phase load data in the three-phase load data of the transformer substation can be as follows:
b1, calculating a first segment coefficient of the user load data and each phase load data according to a first preset formula by taking the user load data as a reference and according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
Figure BDA0003198461810000081
b2, calculating a second fragment coefficient of the user load data and the load data of each phase according to a second preset formula by taking the load data of each phase as a reference and according to the distance between the user load data and the load data of each phase in the three-phase load data of the transformer substation, wherein the second preset formula is as follows:
Figure BDA0003198461810000082
wherein tpps is x1 、tpps x2 A first segment coefficient and a second segment coefficient of the user load data and the x-phase load data respectively, n is the length of the user load data and the load data of each phase, d (y) pj ,x i ) The distance between the jth load data and the ith x-phase load data of the p-th user;
b3, calculating segment phase sequence judgment coefficients of the user load data and the phase load data according to the first segment coefficients and the second segment coefficients of the user load data and the phase load data;
Wherein, the segment phase sequence judgment coefficient pps of the user load data and the x-phase load data of the p-th user px The calculation formula of (2) can be:
Figure BDA0003198461810000083
the specific process for sequentially calculating the curve phase sequence judgment coefficients of the user load data and the phase load data according to the distances between the user load data and the phase load data in the three-phase load data of the transformer substation comprises the following steps:
and C1, generating a distance matrix under each phase according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation.
According to the distance d (y) between the user load data and each phase load data in the three-phase load data of the transformer substation pj ,x i ) Generating a distance matrix under each phase, wherein the distance matrix of the user load data and the x-phase load data of the p-th user is
Figure BDA0003198461810000084
And C2, calculating a distance average value under each phase according to the maximum distance and the minimum distance in the distance matrix under each phase, and taking the distance average value under each phase as an intermediate variable under each phase.
Obtaining distance matrix D under each phase px Maximum distance in (a)
Figure BDA0003198461810000091
And minimum distanced px Will be according to the maximum distance->
Figure BDA0003198461810000092
And minimum distanced px Calculated distance average value +.>
Figure BDA0003198461810000093
As intermediate variable E under each phase px I.e. +.>
Figure BDA0003198461810000094
And C3, determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase.
According to the maximum distance under each phase
Figure BDA0003198461810000095
And intermediate variable E px Determining a first range interval +.>
Figure BDA0003198461810000096
According to intermediate variables E under each phase px And minimum distanced px Determining a second range intervald px ，E px )。/>
And C4, setting the value of each element in the distance matrix under each phase belonging to the first range interval to be 1, and setting the value of each element in the distance matrix under each phase belonging to the second range interval to be 0, so as to obtain a new distance matrix under each phase.
Setting the value of each element in the distance matrix under each phase belonging to the first range interval to 1, namely D px Is greater than E px And is smaller than
Figure BDA0003198461810000097
The value of the element of (2) is set to 1; setting the value of each element in the distance matrix under each phase belonging to the second range interval to 0, namely D px Is greater thand px And is less than E px The value of the element of (2) is set to 0, and a new distance matrix under each phase is obtained
Figure BDA0003198461810000098
And C5, setting the curve phase sequence judgment coefficient of the user load data and each phase load data as the reciprocal of the intermediate variable when the new distance matrix under each phase meets the preset condition.
New distance matrix when under each phase
Figure BDA0003198461810000099
When the product of each element is equal to 1, the user load number is setThe judgment coefficient based on the curve phase sequence with each phase load data is the reciprocal of the intermediate variable, i.e. +. >
Figure BDA00031984618100000910
And C6, when the new distance matrix under each phase does not meet the preset condition, updating the intermediate variable under each phase according to the difference value of the maximum distance and the minimum distance under each phase, and returning to the step C3.
New distance matrix when under each phase
Figure BDA00031984618100000911
When the product of the elements is not equal to 1, the intermediate variable under each phase is updated according to the difference value of the maximum distance and the minimum distance under each phase, namely +.>
Figure BDA00031984618100000912
And C3, determining a new first range interval according to the maximum distance and the updated intermediate variable under each phase, and determining a new second range interval according to the new intermediate variable and the minimum distance under each phase, so as to generate a new distance matrix until the new distance matrix meets the preset condition.
Step 103, when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is greater than or equal to the node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is greater than or equal to the segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is greater than or equal to the curve phase sequence judgment coefficient threshold value, judging that the user load data belongs to the phase corresponding to the target phase load data.
When nps px ≥α、pps px Not less than beta and lps px And if the user load data is not less than gamma, judging that the p-th user load data belongs to the corresponding phase x of the x-phase load data. The α, β, and γ are node phase sequence judgment coefficient threshold, segment phase sequence judgment coefficient threshold, and curve phase sequence judgment coefficient threshold in order, and may be specifically valued according to actual situations, which is not specifically limited herein.
Compared with the method for judging the identity of the user by adopting a signal generating instrument to modulate special frequency waveforms at the station transformer end in the prior art, the method for judging the identity of the user according to whether the waveform is detected by the sensor at the user end does not need to temporarily arrange a large number of sensors at the user end, so that the workload caused by installation, debugging, analysis and dismantling is avoided, the cost is saved, and the working efficiency is improved.
And 104, counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and if so, outputting unbalance early warning.
Counting the number of the user loads under each phase according to the phase of the user load data determined in the step 103, and marking the number as m respectively A 、m B 、m C The method comprises the steps of carrying out a first treatment on the surface of the Calculating three-phase unbalance early warning coefficients according to the maximum value of the user load quantity under each phase and the total user load quantity; and judging whether the three-phase unbalance early warning coefficient is larger than or equal to an unbalance early warning threshold value, if so, judging that potential three-phase unbalance exists, and outputting unbalance early warning.
Specifically, the calculation formula of the three-phase unbalance early warning coefficient f is as follows:
Figure BDA0003198461810000101
when f is more than or equal to mu, judging that potential three-phase unbalance exists, outputting unbalance early warning, and reminding operation and maintenance personnel to adjust according to the user load quantity under different phases. Mu is an unbalance pre-warning threshold value, preferably set to 0.2.
In the embodiment of the application, the similarity judgment coefficients of the discrete nodes, the short period continuous judgment and the long period continuous curve are calculated to judge the correspondence of the user load data, so that the accuracy is high; after the user is determined, whether potential three-phase unbalance exists or not is judged according to the number of the user loads under each phase, and the acquired user load data and the three-phase load data of the transformer substation are subjected to data analysis, so that excessive manual interference is not needed, power production and resident electricity consumption are not influenced, a plurality of transformer areas can be synchronously detected, the detection efficiency is high, and the technical problems that a large amount of manpower and time are required to be consumed, the detection efficiency is low, the resident electricity experience is influenced, and the potential three-phase unbalance discrimination precision is low in the existing potential three-phase unbalance detection method are solved.
The foregoing is an embodiment of a method for detecting a potential three-phase imbalance of a power distribution network station provided by the present application, and the following is an embodiment of a device for detecting a potential three-phase imbalance of a power distribution network station provided by the present application.
Referring to fig. 2, a device for detecting potential three-phase imbalance in a power distribution network area according to an embodiment of the present application includes:
the acquisition unit is used for acquiring user load data and three-phase load data of the transformer substation according to preset acquisition frequency and acquisition period;
the computing unit is used for sequentially computing node phase sequence judgment coefficients, segment phase sequence judgment coefficients and curve phase sequence judgment coefficients of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation;
the phase judgment unit is used for judging that the user load data belongs to the phase corresponding to the target phase load data when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is larger than or equal to a node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to a segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to a curve phase sequence judgment coefficient threshold value;
and the three-phase unbalance judging unit is used for counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and outputting unbalance early warning if the potential three-phase unbalance exists.
As a further improvement, further comprising:
the preprocessing unit is used for converting the user load data and the three-phase load data of the transformer substation into frequency domain data or time-frequency domain data, removing low-frequency information and high-frequency information in the converted user load data and the three-phase load data of the transformer substation through a preset band-pass filtering frequency, and inversely converting the converted user load data and the three-phase load data of the transformer substation into time domain data.
As a further improvement, the computing unit includes a first computing subunit, a second computing subunit, and a third computing subunit;
the first computing subunit is specifically configured to:
calculating the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation to obtain the distance under each phase;
counting the number of distances under each phase which are greater than or equal to a distance threshold;
calculating node phase sequence judgment coefficients of the user load data and each phase load data according to the quantity under each phase and the length of each phase load data;
the second calculating subunit is specifically configured to:
calculating a first segment coefficient of the user load data and each phase load data according to a first preset formula by taking the user load data as a reference and according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
Figure BDA0003198461810000121
Calculating a second segment coefficient of the user load data and each phase load data according to a second preset formula by taking each phase load data as a reference and according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the second preset formula is as follows:
Figure BDA0003198461810000122
wherein tpps is x1 、tpps x2 First segment coefficients and second segment coefficients of user load data and x-phase load data respectively, and n is the user load data and each-phase load dataLength, d (y pj ,x i ) The distance between the jth load data and the ith x-phase load data of the p-th user;
calculating segment phase sequence judgment coefficients of the user load data and the phase load data according to the first segment coefficients and the second segment coefficients of the user load data and the phase load data;
the third calculation subunit is specifically configured to:
generating a distance matrix under each phase according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation;
calculating a distance average value under each phase according to the maximum distance and the minimum distance in the distance matrix under each phase, and taking the distance average value under each phase as an intermediate variable under each phase;
determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase;
Setting the value of each element in the distance matrix under each phase belonging to the first range section to be 1, and setting the value of each element in the distance matrix under each phase belonging to the second range section to be 0, so as to obtain a new distance matrix under each phase;
when the new distance matrix under each phase meets the preset condition, setting the curve phase sequence judgment coefficient of the user load data and each phase load data as the reciprocal of the intermediate variable;
when the new distance matrix under each phase does not meet the preset condition, updating the intermediate variable under each phase according to the difference value of the maximum distance and the minimum distance under each phase, and returning to the step of determining the first range section according to the maximum distance and the intermediate variable under each phase and determining the second range section according to the intermediate variable and the minimum distance under each phase.
As a further improvement, the three-phase imbalance judging unit is specifically configured to:
counting the number of the user loads under each phase, and calculating a three-phase unbalanced early warning coefficient according to the maximum value of the number of the user loads under each phase and the total number of the user loads;
and judging whether the three-phase unbalance early warning coefficient is larger than or equal to an unbalance early warning threshold value, if so, judging that potential three-phase unbalance exists, and outputting unbalance early warning.
In the embodiment of the application, the similarity judgment coefficients of the discrete nodes, the short period continuous judgment and the long period continuous curve are calculated to judge the correspondence of the user load data, so that the accuracy is high; after the user is determined, whether potential three-phase unbalance exists or not is judged according to the number of the user loads under each phase, and the acquired user load data and the three-phase load data of the transformer substation are subjected to data analysis, so that excessive manual interference is not needed, power production and resident electricity consumption are not influenced, a plurality of transformer areas can be synchronously detected, the detection efficiency is high, and the technical problems that a large amount of manpower and time are required to be consumed, the detection efficiency is low, the resident electricity experience is influenced, and the potential three-phase unbalance discrimination precision is low in the existing potential three-phase unbalance detection method are solved.
The embodiment of the application also provides equipment for detecting the potential three-phase imbalance of the power distribution network area, which is characterized by comprising a processor and a memory;
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for detecting a potential three-phase imbalance of a power distribution network station in the foregoing method embodiment according to instructions in the program code.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium is used for storing program codes, and the program codes are used for executing the method for detecting the potential three-phase unbalance of the power distribution network station in the embodiment of the method.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and units described above may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to execute all or part of the steps of the methods described in the embodiments of the present application by a computer device (which may be a personal computer, a server, or a network device, etc.). And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (RandomAccess Memory, RAM), magnetic disk or optical disk, etc.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (7)

1. The method for detecting the potential three-phase unbalance of the power distribution network area is characterized by comprising the following steps of:
acquiring user load data and three-phase load data of a transformer substation according to a preset acquisition frequency and an acquisition period;
sequentially calculating a node phase sequence judgment coefficient, a segment phase sequence judgment coefficient and a curve phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the method specifically comprises the following steps:
calculating the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation to obtain the distance under each phase;
Counting the number of the distances under each phase which is larger than or equal to a distance threshold value respectively;
calculating a node phase sequence judgment coefficient of the user load data and each phase load data according to the quantity under each phase and the length of each phase load data, wherein the node phase sequence judgment coefficient nps of the user load data of the p-th user and the x-phase load data px The calculation formula of (2) is as follows:
Figure FDA0004188666460000011
wherein, tnps x Number under the same x;
taking the user load data as a reference, calculating a first segment coefficient of the user load data and each phase load data according to a first preset formula according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
Figure FDA0004188666460000012
calculating a second segment coefficient of the user load data and each phase load data according to a second preset formula by taking each phase load data as a reference and according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the second preset formula is as follows:
Figure FDA0004188666460000013
wherein tpps is x1 、tpps x2 A first segment coefficient and a second segment coefficient of the user load data and the x-phase load data respectively, n is the length of the user load data and the load data of each phase, d (y) pj ,x i ) The distance between the jth load data and the ith x-phase load data of the p-th user;
calculating segment phase sequence judgment coefficients of the user load data and the phase load data according to the first segment coefficient and the second segment coefficient of the user load data and the phase load data, wherein the segment phase sequence judgment coefficient pps of the user load data of the p-th user and the x-phase load data px The calculation formula of (2) is as follows:
Figure FDA0004188666460000021
generating a distance matrix under each phase according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the distance matrix between the user load data and the x-phase load data of the p-th user is
Figure FDA0004188666460000022
Calculating a distance average value under each phase according to the maximum distance and the minimum distance in the distance matrix under each phase, and taking the distance average value under each phase as an intermediate variable under each phase, wherein the method specifically comprises the following steps of:
obtaining distance matrix D under each phase px Maximum distance in (a)
Figure FDA0004188666460000023
And minimum distanced px Will be according to the maximum distance->
Figure FDA0004188666460000024
And minimum distanced px The average value of the distances under each phase is calculated as an intermediate variable E under each phase px ，E px The method comprises the following steps:
Figure FDA0004188666460000025
determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase;
Setting the value of each element in the distance matrix under each phase belonging to the first range section to be 1, and setting the value of each element in the distance matrix under each phase belonging to the second range section to be 0, so as to obtain a new distance matrix under each phase, which specifically comprises:
will D px Is greater than E px And is smaller than
Figure FDA0004188666460000026
The value of the element of (2) is set to 1, D px Is greater thand px And is less than E px The value of the element of (2) is set to 0, resulting in a new distance matrix ++for each phase>
Figure FDA0004188666460000027
When the new distance matrix under each phase meets a preset condition, setting a curve phase sequence judgment coefficient of the user load data and each phase load data as the reciprocal of the intermediate variable, wherein the method specifically comprises the following steps:
new distance matrix when under each phase
Figure FDA0004188666460000028
When the product of each element is equal to 1, setting the curve phase sequence judgment coefficient as
Figure FDA0004188666460000029
When the new distance matrix under each phase does not meet a preset condition, updating the intermediate variable under each phase according to the difference value between the maximum distance and the minimum distance under each phase, and returning to the step of determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase, wherein the step specifically comprises:
New distance matrix when under each phase
Figure FDA0004188666460000031
When the product of the elements in (a) is not equal to 1, updating the intermediate variable under each phase, determining a new first range interval according to the maximum distance under each phase and the updated intermediate variable, and determining a new second range interval according to the updated intermediate variable under each phase and the minimum distance, so as to obtain a new distance matrix until the new distance matrix meets a preset condition, wherein the intermediate variable under each phase is updated specifically as follows:
Figure FDA0004188666460000032
when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is larger than or equal to a node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to a segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to a curve phase sequence judgment coefficient threshold value, judging that the user load data belongs to the corresponding phase of the target phase load data;
and counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and if so, outputting unbalance early warning.
2. The method for detecting potential three-phase imbalance of a power distribution network area according to claim 1, wherein the step of collecting user load data and three-phase load data of a transformer substation according to a preset collection frequency and collection period further comprises the steps of:
After the user load data and the three-phase load data of the transformer substation are converted into frequency domain data or time-frequency domain data, the low-frequency information and the high-frequency information in the converted user load data and the three-phase load data of the transformer substation are removed through a preset band-pass filtering frequency, and then the converted user load data and the three-phase load data of the transformer substation after the filtering processing are inversely converted into time domain data.
3. The method for detecting a potential three-phase imbalance of a power distribution network area according to claim 1, wherein the determining whether a potential three-phase imbalance exists according to the number of the user loads under each phase, if yes, outputting an imbalance early warning comprises:
calculating three-phase unbalance early warning coefficients according to the maximum value of the user load quantity and the total user load quantity under each phase;
and judging whether the three-phase unbalance early warning coefficient is larger than or equal to an unbalance early warning threshold value, if so, judging that potential three-phase unbalance exists, and outputting unbalance early warning.
4. A power distribution network station potential three-phase imbalance detection device, comprising:
the acquisition unit is used for acquiring user load data and three-phase load data of the transformer substation according to preset acquisition frequency and acquisition period;
The calculation unit is used for sequentially calculating a node phase sequence judgment coefficient, a segment phase sequence judgment coefficient and a curve phase sequence judgment coefficient of the user load data and each phase load data according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, and specifically comprises the following steps:
calculating the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation to obtain the distance under each phase;
counting the number of the distances under each phase which is larger than or equal to a distance threshold value respectively;
calculating a node phase sequence judgment coefficient of the user load data and each phase load data according to the quantity under each phase and the length of each phase load data, wherein the node phase sequence judgment coefficient nps of the user load data of the p-th user and the x-phase load data px The calculation formula of (2) is as follows:
Figure FDA0004188666460000041
wherein, tnps x Number under the same x;
taking the user load data as a reference, calculating a first segment coefficient of the user load data and each phase load data according to a first preset formula according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
Figure FDA0004188666460000042
Calculating a second segment coefficient of the user load data and each phase load data according to a second preset formula by taking each phase load data as a reference and according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the second preset formula is as follows:
Figure FDA0004188666460000043
wherein tpps is x1 、tpps x2 A first segment coefficient and a second segment coefficient of the user load data and the x-phase load data respectively, n is the length of the user load data and the load data of each phase, d (y) pj ,x i ) The distance between the jth load data and the ith x-phase load data of the p-th user;
calculating segment phase sequence judgment coefficients of the user load data and the phase load data according to the first segment coefficient and the second segment coefficient of the user load data and the phase load data, wherein the segment phase sequence judgment coefficient pps of the user load data of the p-th user and the x-phase load data px The calculation formula of (2) is as follows:
Figure FDA0004188666460000051
generating a distance matrix under each phase according to the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, wherein the distance matrix between the user load data and the x-phase load data of the p-th user is
Figure FDA0004188666460000052
Calculating a distance average value under each phase according to the maximum distance and the minimum distance in the distance matrix under each phase, and taking the distance average value under each phase as an intermediate variable under each phase, wherein the method specifically comprises the following steps of:
Obtaining distance matrix D under each phase px Maximum distance in (a)
Figure FDA0004188666460000053
And minimum distanced px Will be according to the maximum distance->
Figure FDA0004188666460000054
And minimum distanced px The average value of the distances under each phase is calculated as an intermediate variable E under each phase px ，E px The method comprises the following steps:
Figure FDA0004188666460000055
determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase;
setting the value of each element in the distance matrix under each phase belonging to the first range section to be 1, and setting the value of each element in the distance matrix under each phase belonging to the second range section to be 0, so as to obtain a new distance matrix under each phase, which specifically comprises:
will D px Is greater than E px And is smaller than
Figure FDA0004188666460000056
The value of the element of (2) is set to 1, D px Is greater thand px And is less than E px The value of the element of (2) is set to 0, resulting in a new distance matrix ++for each phase>
Figure FDA0004188666460000057
When the new distance matrix under each phase meets a preset condition, setting a curve phase sequence judgment coefficient of the user load data and each phase load data as the reciprocal of the intermediate variable, wherein the method specifically comprises the following steps:
new distance matrix when under each phase
Figure FDA0004188666460000058
When the product of each element is equal to 1, setting the curve phase sequence judgment coefficient as
Figure FDA0004188666460000059
When the new distance matrix under each phase does not meet a preset condition, updating the intermediate variable under each phase according to the difference value between the maximum distance and the minimum distance under each phase, and returning to the step of determining a first range section according to the maximum distance and the intermediate variable under each phase, and determining a second range section according to the intermediate variable and the minimum distance under each phase, wherein the step specifically comprises:
new distance matrix when under each phase
Figure FDA00041886664600000510
When the product of the elements in (a) is not equal to 1, updating the intermediate variable under each phase, determining a new first range interval according to the maximum distance under each phase and the updated intermediate variable, and determining a new second range interval according to the updated intermediate variable under each phase and the minimum distance, so as to obtain a new distance matrix until the new distance matrix meets a preset condition, wherein the intermediate variable under each phase is updated specifically as follows:
Figure FDA0004188666460000061
/>
the phase judgment unit is used for judging that the user load data belongs to the phase corresponding to the target phase load data when the node phase sequence judgment coefficient of the user load data and the target phase load data in the three-phase load data of the transformer substation is larger than or equal to a node phase sequence judgment coefficient threshold value, the segment phase sequence judgment coefficient is larger than or equal to a segment phase sequence judgment coefficient threshold value, and the curve phase sequence judgment coefficient is larger than or equal to a curve phase sequence judgment coefficient threshold value;
And the three-phase unbalance judging unit is used for counting the number of the user loads under each phase, judging whether potential three-phase unbalance exists according to the number of the user loads under each phase, and outputting unbalance early warning if the potential three-phase unbalance exists.
5. The power distribution network section potential three-phase imbalance detection apparatus of claim 4, further comprising:
the preprocessing unit is used for converting the user load data and the three-phase load data of the transformer substation into frequency domain data or time-frequency domain data, removing low-frequency information and high-frequency information in the converted user load data and the three-phase load data of the transformer substation through preset band-pass filtering frequency, and inversely converting the converted user load data and the three-phase load data of the transformer substation into time domain data after filtering.
6. A power distribution network area potential three-phase imbalance detection device, characterized in that the device comprises a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method for detecting a potential three-phase imbalance of a power distribution network station of any one of claims 1-3 according to instructions in the program code.
7. A computer readable storage medium for storing program code for performing the method of detecting a potential three-phase imbalance of a distribution network station according to any one of claims 1-3.
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