CN113484626A - Detection method and related device for potential three-phase imbalance of distribution network area - Google Patents
Detection method and related device for potential three-phase imbalance of distribution network area Download PDFInfo
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Abstract
The application discloses a potential three-phase imbalance detection method and a relevant device thereof for a distribution network area, wherein a node, a segment and a curve phase sequence judgment coefficient of user load data and each phase load data are sequentially calculated according to the distance between the collected user load data and each phase load data in 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 greater than or equal to the node phase sequence judgment coefficient threshold, the segment phase sequence judgment coefficient is greater than or equal to the segment phase sequence judgment coefficient threshold, and the curve phase sequence judgment coefficient is greater than or equal to the curve phase sequence judgment coefficient threshold, judging that the user load data belongs to the phase corresponding to the target phase load data; judging whether potential three-phase imbalance exists according to the number of user loads under each phase, and if so, outputting imbalance early warning; the technical problems that a large amount of manpower and time are consumed, the detection efficiency is low, the electricity consumption experience of residents is influenced, and the judgment precision is low in the prior art are solved.
Description
Technical Field
The application relates to the technical field of power distribution networks, in particular to a method and a related device for detecting potential three-phase imbalance of a distribution network area.
Background
The distribution network is not managed in place in the long-term development process, technical measures are backward, and a complete information ledger is not available. At present, a medium-voltage edge layout pattern, a single line diagram and standing book data of a GIS (geographic information System) of a power distribution network are relatively perfect, but the original low-voltage data are migrated to a new GIS system and the edge layout pattern is not updated in time, so that low-voltage basic data are imperfect.
In the rapid increase of the electricity consumption of residents, the nearby wiring is carried out according to the electricity consumption of residents, so that the low-voltage distribution network is in disordered development. The phase sequence of the power distribution network users cannot be determined, and in subsequent planning construction, a certain phase is easy to access more users, so that three-phase imbalance occurs.
At present, ABC three-phase unbalance detection methods mainly adopt manual power failure for ABC three phases one by one, a certain phase access user is judged according to power failure alarm information of an electric meter, user information is manually recorded, and a phase sequence account is established.
Disclosure of Invention
The application provides a power distribution network distribution area potential three-phase imbalance detection method and a related device thereof, which are used for solving the technical problems that a large amount of manpower and time are consumed, the detection efficiency is low, the residential electricity consumption experience is influenced, and the judgment precision of potential three-phase imbalance is low in the existing potential three-phase imbalance detection method.
In view of this, the present application provides, in a first aspect, a method for detecting a potential three-phase imbalance in a distribution grid area, including:
acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle;
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 target phase load data in the three-phase load data of the transformer substation is greater than or equal to a node phase sequence judgment coefficient threshold, the segment phase sequence judgment coefficient is greater than or equal to a segment phase sequence judgment coefficient threshold, and the curve phase sequence judgment coefficient is greater than or equal to a curve phase sequence judgment coefficient threshold, judging that the user load data belongs to the phase corresponding to the target phase load data;
and counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
Optionally, the method further includes the following steps of acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle:
and after converting the user load data and the transformer substation three-phase load data into frequency domain data or time-frequency domain data, removing low-frequency information and high-frequency information in the converted user load data and transformer substation three-phase load data through a preset band-pass filtering frequency, and inversely converting the converted user load data and the transformer substation three-phase load data after filtering into time domain data.
Optionally, calculating a node phase sequence determination coefficient of the user load data and each phase load data according to a 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 load data in the three-phase load data of the transformer substation to obtain the distance of each phase;
respectively counting the number of the distances under each phase which is greater than or equal to a distance threshold value;
and calculating the node phase sequence judgment coefficient of the user load data and the load data of each phase according to the number of each phase and the length of the load data of each phase.
Optionally, sequentially calculating segment phase sequence determination coefficients of the user load data and the load data of each phase 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, including:
calculating a first segment coefficient of the user load data and each phase of load data according to a first preset formula by taking the user load data as a reference and the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
calculating a second segment coefficient of the user load data and each phase load data through a second 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 by taking each phase load data as a reference, wherein the second preset formula is as follows:
in the formula, tppsx1、tppsx2A 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 each phase of load data, and d (y)pj,xi) The distance between the jth load data of the pth user and the ith x-phase load data;
and calculating the segment phase sequence judgment coefficient of the user load data and each phase of load data according to the first segment coefficient and the second segment coefficient of the user load data and each phase of load data.
Optionally, sequentially calculating a curve phase sequence determination 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:
generating a distance matrix under each phase according to the distance between the user load data and each phase of 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 a middle variable under each phase;
determining a first range interval according to the maximum distance and the intermediate variable of each phase, and determining a second range interval according to the intermediate variable and the minimum distance of each phase;
setting the value of each element in the distance matrix under each phase belonging to the first range interval to 1, and setting the value of each element in the distance matrix under each phase belonging to the second range interval to 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 the load data of each phase 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, returning to the step of determining a first range interval according to the maximum distance and the intermediate variable under each phase, and determining a second range interval according to the intermediate variable and the minimum distance under each phase.
Optionally, the method further includes determining whether there is a potential three-phase imbalance according to the number of the user loads of each phase, and if yes, outputting an imbalance warning, including:
calculating a three-phase imbalance early warning coefficient according to the maximum value of the user load number and the total user load number under each phase;
and judging whether the three-phase imbalance early warning coefficient is larger than or equal to an imbalance early warning threshold value, if so, judging that potential three-phase imbalance exists, and outputting imbalance early warning.
This application second aspect provides a distribution network platform district potential unbalanced three phase detection device, includes:
the acquisition unit is used for acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle;
the calculating unit is used for sequentially calculating a node phase sequence judging coefficient, a segment phase sequence judging coefficient and a curve phase sequence judging coefficient of the user load data and the load data of each phase 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;
the phase classification judging unit is used for judging that the user load data belongs to the phase classification corresponding to the target phase load data when the node phase sequence judging 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 judging coefficient threshold value, the fragment phase sequence judging coefficient is larger than or equal to a fragment phase sequence judging coefficient threshold value, and the curve phase sequence judging coefficient is larger than or equal to a curve phase sequence judging coefficient threshold value;
and the three-phase imbalance judging unit is used for counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
Optionally, the method further includes:
the preprocessing unit is used for converting the user load data and the transformer substation three-phase load data 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 transformer substation three-phase load data through preset band-pass filtering frequency, and inversely converting the converted user load data and the transformer substation three-phase load data into time domain data after filtering processing.
A third aspect of the present application provides a device for detecting potential three-phase imbalance in a distribution network area, the device including 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 any one of the power distribution network area potential three-phase imbalance detection methods according to the instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium for storing program codes for executing the method for detecting potential three-phase imbalance of a distribution grid area according to any one of the first aspect.
According to the technical scheme, the method has the following advantages:
the application provides a potential three-phase unbalance detection method for a distribution network area, which comprises the following steps: acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle; 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 the node phase sequence judgment coefficient threshold, the segment phase sequence judgment coefficient is larger than or equal to the segment phase sequence judgment coefficient threshold, and the curve phase sequence judgment coefficient is larger than or equal to the curve phase sequence judgment coefficient threshold, judging that the user load data belongs to the phase corresponding to the target phase load data; and counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
In the method, the phase to which the user load data belongs is judged by calculating the similarity judgment coefficients of the discrete nodes, the short-period continuous judgment and the long-period continuous curve, and the accuracy is high; after confirming the phase of the user, whether potential three-phase imbalance exists is judged according to the user load quantity under each phase, data analysis is carried out on the collected user load data and the three-phase load data of the transformer substation, excessive manual interference is not needed, power production and residential electricity consumption cannot be influenced, a plurality of transformer areas can be synchronously detected, the detection efficiency is high, the technical problems that a large amount of manpower and time are consumed for the existing potential three-phase imbalance detection method, the detection efficiency is low, residential electricity consumption experience is influenced, and the judgment precision of the potential three-phase imbalance is low 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 needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a method for detecting a potential three-phase imbalance in a distribution grid area according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a potential three-phase imbalance detection device for a distribution network area according to an embodiment of the present application.
Detailed Description
The application provides a power distribution network distribution area potential three-phase imbalance detection method and a related device thereof, which are used for solving the technical problems that a large amount of manpower and time are consumed, the detection efficiency is low, the residential electricity consumption experience is influenced, and the judgment precision of potential three-phase imbalance is low in the existing potential three-phase imbalance detection method.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For easy understanding, please refer to fig. 1, an embodiment of a method for detecting a potential three-phase imbalance in a distribution grid area provided by the present application includes:
Before load data is collected, collection frequency and collection period can be set, the collection frequency is set according to actual production environment and communication station conditions, the lowest collection frequency is one data point every 15 minutes, one data point every 3 minutes is recommended, the length of data collection is determined according to the collection period, and data of 15 days is generally taken.
After the acquisition frequency and the acquisition period are set, acquiring user load data Y and transformer substation three-phase load data X according to the preset acquisition frequency and the preset acquisition period, wherein the transformer substation three-phase load data X comprises three-phase load data of an A phase, a B phase and a C phase, and is recorded as X ═ XA，XB,XCThe user load data of the p-th user is y (p) ═ ypjAnd (p is 1,2, …, c, j is 1,2,.., n), c is the number of users, and n is the length of each user load data, and the user load data and the three-phase load data of the transformer substation have the same length because the acquisition frequency and the acquisition period of the user load data and the three-phase load data of the transformer substation are consistent.
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.
Before data analysis is carried out on the user load data and the transformer substation three-phase load data, preprocessing can be carried out on the user load data and the transformer substation three-phase load data. Specifically, after the user load data and the transformer substation three-phase load data 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 transformer substation three-phase load data are removed through a preset band-pass filtering frequency, and then the converted user load data and the transformer substation three-phase load data after filtering processing are reversely converted into time domain data.
The data conversion method can be Fourier transform, wavelet transform or Hilbert-Huang transform, and the like, wherein the low-pass cut-off frequency in the band-pass filtering frequency range is generally less than 20Hz, and the high-pass cut-off frequency is generally more than 200 Hz.
After the user load data and the three-phase load data of the transformer substation are preprocessed, the node phase sequence judgment coefficient, the segment phase sequence judgment coefficient and the curve phase sequence judgment coefficient of the user load data and the load data of each phase are sequentially calculated 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.
The specific process of calculating the node phase sequence judgment coefficient of the user load data and each phase of load data according to the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation can be as follows:
and A1, calculating the distance between the user load data and each phase load data in the three-phase load data of the transformer substation, and obtaining the distance of each phase.
Calculating user load data ypjThe load data x of each phase in the three-phase load data of the transformer substationiDistance d (y) ofpj,xi) The distance may be calculated as a cosine distance or a euclidean distance.
A2, respectively counting the number of distances at each phase greater than or equal to the distance threshold.
Setting the number tnps under phase xxWhen d (y) is 0pj,xi) When ≧ epsilon, the number tnps is setx＝tnpsx+1, until i ═ j ═ n, the number tnps ═ { tnps ═ for each phase is obtainedA,tnpsB,tnpsC}. Where ε is the distance threshold, xiThe ith x-phase load data is x ═ A, B and C.
And A3, calculating a node phase sequence judgment coefficient of the user load data and the load data of each phase according to the number of each phase and the length of the load data of each phase.
Calculating node phase sequence judgment coefficients of the user load data and the load data of each phase according to the number of each phase and the length of the load data of each phase, wherein the node phase sequence judgment coefficients nps of the user load data of the p-th user and the load data of the x-phasepxThe calculation formula of (c) may be:
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 of load data according to a first preset formula by taking the user load data as a reference and the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
b2, 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 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:
in the formula, tppsx1、tppsx2A 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 each phase of load data, and d (y)pj,xi) The distance between the jth load data of the pth user and the ith x-phase load data;
b3, calculating segment phase sequence judgment coefficients of the user load data and the load data of each phase according to the first segment coefficient and the second segment coefficient of the user load data and the load data of each phase;
wherein, the segment phase sequence judging coefficient pps of the user load data of the p-th user and the x-phase load datapxThe calculation formula of (c) may be:
the specific process of sequentially calculating the curve phase sequence judgment coefficients of the user load data and the load data of each phase 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 is as follows:
and C1, generating a distance matrix under each phase 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.
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 substationpj,xi) Generating a distance matrix under each phase, wherein the distance matrix of the user load data of the p-th user and the x-phase load data is
And C2, calculating the 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 the intermediate variable under each phase.
ObtainingDistance matrix D under each phasepxMaximum distance of
And minimum distanced pxWill be based on the maximum distance
And minimum distanced pxCalculating the distance average value of each phase
As intermediate variables E under each phasepxI.e. by
And C3, determining a first range section according to the maximum distance and the intermediate variable of each phase, and determining a second range section according to the intermediate variable and the minimum distance of each phase.
According to the maximum distance of each phase
And intermediate variable EpxDetermining a first range interval
According to the intermediate variable E under each phasepxAnd minimum distanced pxDetermining a second range interval (d px，Epx)。
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, thereby obtaining a new distance matrix under each phase.
Setting the value of each element of the distance matrix at each phase belonging to the first range interval to 1, i.e. DpxIs greater than EpxAnd is less than
The value of the element of (a) is set to 1; setting the value of each element in the distance matrix at each phase belonging to the second range interval to 0, i.e. DpxIs greater thand pxAnd is less than EpxThe value of the element of (1) is set to 0, and a new distance matrix under each phase is obtained
And C5, 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 the load data of each phase as the reciprocal of the intermediate variable.
New distance matrix when each phase is different
When the product of the elements in the data is equal to 1, setting the curve phase sequence judgment coefficient of the user load data and the load data of each phase as the reciprocal of an intermediate variable, namely
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 each phase is different
When the product of the elements in the phase is not equal to 1, updating the intermediate variable under each phase according to the difference value of the maximum distance and the minimum distance under each phase, namely
And returning to the step C3, determining a new first range interval according to the maximum distance and the updated intermediate variable of each phase, determining a new second range interval according to the new intermediate variable and the minimum distance of each phase, and further generating a new distance matrix until the new distance matrix meets the preset condition.
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, the segment phase sequence judgment coefficient is greater than or equal to the segment phase sequence judgment coefficient threshold, and the curve phase sequence judgment coefficient is greater than or equal to the curve phase sequence judgment coefficient threshold, judging that the user load data belongs to the phase corresponding to the target phase load data.
When is npspx≥α、ppspxNot less than beta and lpspxAnd when the load data is more than or equal to gamma, judging that the p-th user load data belongs to the corresponding phase x of the x-phase load data. Wherein α, β, and γ are a node phase sequence determination coefficient threshold, a segment phase sequence determination coefficient threshold, and a curve phase sequence determination coefficient threshold in sequence, and may be specifically valued according to actual conditions, which is not specifically limited herein.
Compared with the prior art that a signal generation instrument is adopted to modulate a special frequency waveform at a station transformer end, the method for judging the phase of the user according to whether the waveform is detected by the sensor at the user end does not need to arrange a large number of sensors temporarily at the user side, the workload caused by installation, debugging, analysis and removal is avoided, the cost is saved, and the working efficiency is improved.
And 104, counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
Counting the user load number under each phase according to the phase to which each user load data belongs determined in step 103, and recording as mA、mB、mC(ii) a Calculating a three-phase imbalance early warning coefficient according to the maximum value of the user load number under each phase and the total user load number; and when judging whether the three-phase imbalance early warning coefficient is larger than or equal to the imbalance early warning threshold value, if so, judging that potential three-phase imbalance exists, and outputting imbalance early warning.
Specifically, the calculation formula of the three-phase imbalance early warning coefficient f is as follows:
and when f is larger than or equal to mu, judging that potential three-phase imbalance exists, outputting imbalance early warning, and reminding operation and maintenance personnel to adjust according to the user load quantity under different phases. μ is an imbalance pre-warning threshold, preferably set to 0.2.
In the embodiment of the application, the phase to which the user load data belongs is judged by calculating the similarity judgment coefficients of the discrete nodes, the short-period continuous judgment and the long-period continuous curve, and the accuracy is high; after confirming the phase of the user, whether potential three-phase imbalance exists is judged according to the user load quantity under each phase, data analysis is carried out on the collected user load data and the three-phase load data of the transformer substation, excessive manual interference is not needed, power production and residential electricity consumption cannot be influenced, a plurality of transformer areas can be synchronously detected, the detection efficiency is high, the technical problems that a large amount of manpower and time are consumed for the existing potential three-phase imbalance detection method, the detection efficiency is low, residential electricity consumption experience is influenced, and the judgment precision of the potential three-phase imbalance is low are solved.
The above is an embodiment of a method for detecting potential three-phase imbalance of a distribution network area provided by the present application, and the following is an embodiment of a device for detecting potential three-phase imbalance of a distribution network area provided by the present application.
Referring to fig. 2, an embodiment of the present application provides a device for detecting a potential three-phase imbalance in a distribution grid area, including:
the acquisition unit is used for acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle;
the calculating unit is used for sequentially calculating a node phase sequence judging coefficient, a segment phase sequence judging coefficient and a curve phase sequence judging coefficient of the user load data and the load data of each phase 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;
the phase judging unit is used for judging that the user load data belongs to the phase corresponding to the target phase load data when a node phase sequence judging 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 judging coefficient threshold value, a fragment phase sequence judging coefficient is larger than or equal to a fragment phase sequence judging coefficient threshold value, and a curve phase sequence judging coefficient is larger than or equal to a curve phase sequence judging coefficient threshold value;
and the three-phase imbalance judging unit is used for counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
As a further improvement, the method further comprises the following steps:
and the preprocessing unit is used for converting the user load data and the transformer substation three-phase load data 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 transformer substation three-phase load data through a preset band-pass filtering frequency, and inversely converting the converted user load data and the transformer substation three-phase load data into time domain data.
As a further improvement, the calculation unit comprises a first calculation subunit, a second calculation subunit and a third calculation subunit;
the first calculating subunit is specifically configured to:
calculating the distance between the user load data and each phase load data in the three-phase load data of the transformer substation to obtain the distance of each phase;
respectively counting the number of distances under each phase which is greater than or equal to the distance threshold;
calculating a node phase sequence judgment coefficient of the user load data and the load data of each phase according to the number of each phase and the length of the load data of each phase;
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 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:
and calculating a second segment coefficient of the user load data and each phase load data through a second 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 by taking each phase load data as a reference, wherein the second preset formula is as follows:
in the formula, tppsx1、tppsx2A 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 each phase of load data, and d (y)pj,xi) The distance between the jth load data of the pth user and the ith x-phase load data;
calculating segment phase sequence judgment coefficients of the user load data and each phase of load data according to the first segment coefficient and the second segment coefficient of the user load data and each phase of load data;
a third computing subunit, specifically configured to:
generating a distance matrix under each phase according to the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation;
calculating the 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 the intermediate variable under each phase;
determining a first range interval according to the maximum distance and the intermediate variable of each phase, and determining a second range interval according to the intermediate variable and the minimum distance of each phase;
setting the value of each element in the distance matrix under each phase belonging to the first range interval as 1, and setting the value of each element in the distance matrix under each phase belonging to the second range interval as 0 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;
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, returning to the step of determining the first range interval according to the maximum distance and the intermediate variable under each phase, and determining the second range interval 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 user loads under each phase, and calculating a three-phase imbalance 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 when judging whether the three-phase imbalance early warning coefficient is larger than or equal to the imbalance early warning threshold value, if so, judging that potential three-phase imbalance exists, and outputting imbalance early warning.
In the embodiment of the application, the phase to which the user load data belongs is judged by calculating the similarity judgment coefficients of the discrete nodes, the short-period continuous judgment and the long-period continuous curve, and the accuracy is high; after confirming the phase of the user, whether potential three-phase imbalance exists is judged according to the user load quantity under each phase, data analysis is carried out on the collected user load data and the three-phase load data of the transformer substation, excessive manual interference is not needed, power production and residential electricity consumption cannot be influenced, a plurality of transformer areas can be synchronously detected, the detection efficiency is high, the technical problems that a large amount of manpower and time are consumed for the existing potential three-phase imbalance detection method, the detection efficiency is low, residential electricity consumption experience is influenced, and the judgment precision of the potential three-phase imbalance is low are solved.
The embodiment of the application also provides potential three-phase imbalance detection equipment for the 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 power distribution grid area potential three-phase imbalance detection method in the foregoing method embodiments according to instructions in the program code.
The embodiment of the application also provides a computer-readable storage medium, which is used for storing program codes, wherein the program codes are used for executing the potential three-phase imbalance detection method of the distribution network station area in the foregoing method embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. 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 the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. 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 the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A potential three-phase imbalance detection method for a distribution network area is characterized by comprising the following steps:
acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle;
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 target phase load data in the three-phase load data of the transformer substation is greater than or equal to a node phase sequence judgment coefficient threshold, the segment phase sequence judgment coefficient is greater than or equal to a segment phase sequence judgment coefficient threshold, and the curve phase sequence judgment coefficient is greater than or equal to a curve phase sequence judgment coefficient threshold, judging that the user load data belongs to the phase corresponding to the target phase load data;
and counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
2. The method for detecting potential three-phase imbalance of the distribution network region according to claim 1, wherein the user load data and the transformer substation three-phase load data are collected according to a preset collection frequency and a preset collection period, and then the method further comprises the following steps:
and after converting the user load data and the transformer substation three-phase load data into frequency domain data or time-frequency domain data, removing low-frequency information and high-frequency information in the converted user load data and transformer substation three-phase load data through a preset band-pass filtering frequency, and inversely converting the converted user load data and the transformer substation three-phase load data after filtering into time domain data.
3. The method for detecting the potential three-phase imbalance of the distribution network region according to claim 1, wherein calculating the node phase sequence judgment coefficients of the user load data and the load data of each phase 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 comprises:
calculating the distance between the user load data and each phase load data in the three-phase load data of the transformer substation to obtain the distance of each phase;
respectively counting the number of the distances under each phase which is greater than or equal to a distance threshold value;
and calculating the node phase sequence judgment coefficient of the user load data and the load data of each phase according to the number of each phase and the length of the load data of each phase.
4. The method for detecting the potential three-phase imbalance of the distribution network region according to claim 1, wherein segment phase sequence judgment coefficients of the user load data and the phase load data are sequentially calculated according to the distance between the user load data and the phase load data in the three-phase load data of the transformer substation, and the method comprises the following steps:
calculating a first segment coefficient of the user load data and each phase of load data according to a first preset formula by taking the user load data as a reference and the distance between the user load data and each phase of load data in the three-phase load data of the transformer substation, wherein the first preset formula is as follows:
calculating a second segment coefficient of the user load data and each phase load data through a second 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 by taking each phase load data as a reference, wherein the second preset formula is as follows:
in the formula, tppsx1、tppsx2A 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 each phase of load data, and d (y)pj,xi) The distance between the jth load data of the pth user and the ith x-phase load data;
and calculating the segment phase sequence judgment coefficient of the user load data and each phase of load data according to the first segment coefficient and the second segment coefficient of the user load data and each phase of load data.
5. The method for detecting the potential three-phase imbalance of the distribution network region according to claim 1, wherein curve phase sequence judgment coefficients of the user load data and the load data of each phase are sequentially calculated 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, and the method comprises the following steps:
generating a distance matrix under each phase according to the distance between the user load data and each phase of 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 a middle variable under each phase;
determining a first range interval according to the maximum distance and the intermediate variable of each phase, and determining a second range interval according to the intermediate variable and the minimum distance of each phase;
setting the value of each element in the distance matrix under each phase belonging to the first range interval to 1, and setting the value of each element in the distance matrix under each phase belonging to the second range interval to 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 the load data of each phase 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, returning to the step of determining a first range interval according to the maximum distance and the intermediate variable under each phase, and determining a second range interval according to the intermediate variable and the minimum distance under each phase.
6. The method for detecting the potential three-phase imbalance of the distribution network region according to claim 1, wherein the step of judging whether the potential three-phase imbalance exists according to the user load number of each phase, and if so, outputting an imbalance early warning comprises the steps of:
calculating a three-phase imbalance early warning coefficient according to the maximum value of the user load number and the total user load number under each phase;
and judging whether the three-phase imbalance early warning coefficient is larger than or equal to an imbalance early warning threshold value, if so, judging that potential three-phase imbalance exists, and outputting imbalance early warning.
7. A distribution network platform district potential three-phase unbalance detection device is characterized by comprising:
the acquisition unit is used for acquiring user load data and transformer substation three-phase load data according to a preset acquisition frequency and an acquisition cycle;
the calculating unit is used for sequentially calculating a node phase sequence judging coefficient, a segment phase sequence judging coefficient and a curve phase sequence judging coefficient of the user load data and the load data of each phase 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;
the phase classification judging unit is used for judging that the user load data belongs to the phase classification corresponding to the target phase load data when the node phase sequence judging 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 judging coefficient threshold value, the fragment phase sequence judging coefficient is larger than or equal to a fragment phase sequence judging coefficient threshold value, and the curve phase sequence judging coefficient is larger than or equal to a curve phase sequence judging coefficient threshold value;
and the three-phase imbalance judging unit is used for counting the number of user loads under each phase, judging whether potential three-phase imbalance exists according to the number of the user loads under each phase, and if so, outputting imbalance early warning.
8. The distribution network bay potential three-phase imbalance detection device of claim 7, further comprising:
the preprocessing unit is used for converting the user load data and the transformer substation three-phase load data 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 transformer substation three-phase load data through preset band-pass filtering frequency, and inversely converting the converted user load data and the transformer substation three-phase load data into time domain data after filtering processing.
9. An apparatus for detecting potential three-phase imbalance in a distribution grid area, 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 potential three-phase imbalance detection method of any one of claims 1 to 6 according to instructions in the program code.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium is configured to store program code for executing the method for potential three-phase imbalance detection for distribution grid areas according to any one of claims 1 to 6.
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