CN113381408B - Power utilization abnormity distribution transformer positioning method and device based on distribution automation data - Google Patents

Power utilization abnormity distribution transformer positioning method and device based on distribution automation data Download PDF

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Publication number
CN113381408B
CN113381408B CN202110921786.0A CN202110921786A CN113381408B CN 113381408 B CN113381408 B CN 113381408B CN 202110921786 A CN202110921786 A CN 202110921786A CN 113381408 B CN113381408 B CN 113381408B
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distribution
electric quantity
distribution automation
line
preset threshold
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CN113381408A (en
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熊健豪
蔡木良
周求宽
晏年平
安义
汤学亮
王毅超
陈琛
刘蓓
邓才波
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a power utilization abnormity distribution transformer positioning method and device based on distribution automation data, wherein the method comprises the following steps: obtaining sunrise line active power data of a distribution automation terminal installed under a line; calculating the sum of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the sum of first electric quantities; based on the distribution line variable relation, the daily power consumption in a corresponding distribution transformer collector under a certain distribution automation terminal is summed up in detail to obtain the sum of the second power consumption; calculating an electric quantity deviation rate according to the first electric quantity sum and the second electric quantity sum; judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value; and if the electric quantity deviation rate in the continuous time period is not less than the first preset threshold, judging whether the fluctuation deviation rate is not more than a second preset threshold. By acquiring data such as electric quantity of the automatic terminal, abnormal distribution and transformation under the line are combed, the effect of positioning the abnormal distribution and transformation range is achieved, and the treatment efficiency is greatly improved.

Description

Power utilization abnormity distribution transformer positioning method and device based on distribution automation data
Technical Field
The invention belongs to the technical field of power utilization abnormity, and particularly relates to a power utilization abnormity distribution transformer positioning method and device based on distribution automation data.
Background
The power system adopts a 'quartering' management method for the loss of the distribution network, namely the loss of the power transmission process is accurately evaluated according to four dimensions of branching, partitioning, voltage division and distribution area, and the 10kV line branching and line loss also becomes one of important indexes for measuring the economic operation degree of the distribution network along with the promotion of the lean management work of the distribution network.
Due to the problems of complex power distribution network lines, inaccurate basic information and ledgers, frequent occurrence of electric quantity acquisition faults and the like, the lines often have line loss abnormity, so that the elimination of the line loss abnormity and the promotion of branch line loss indexes have important significance for the quality improvement, efficiency improvement, deepening and lean management of the power system.
However, a set of quick and accurate positioning method is lacked in the existing line loss abnormity troubleshooting, the troubleshooting process of line operation and maintenance personnel is long in time consumption, the treatment workload is large, and the efficiency is low.
Disclosure of Invention
The invention provides a power utilization abnormity distribution transformer positioning method and device based on distribution automation data, which are used for solving at least one of the technical problems.
In a first aspect, the present invention provides a power consumption abnormal distribution transformer positioning method based on distribution automation data, including: obtaining sunrise line active power data of distribution automation terminal installed under line
Figure 160571DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure 496875DEST_PATH_IMAGE002
indicating the second in a certain line
Figure 81440DEST_PATH_IMAGE002
A distribution automation terminal, a power distribution network,
Figure 717957DEST_PATH_IMAGE003
indicating the first at a certain time
Figure 729776DEST_PATH_IMAGE003
A collection point, and
Figure 818955DEST_PATH_IMAGE004
，
Figure 941631DEST_PATH_IMAGE005
in order to acquire the time interval of the acquisition,
Figure 698235DEST_PATH_IMAGE006
the first one corresponding to the active power data of sunrise line
Figure 895603DEST_PATH_IMAGE006
Day; based on the active power data of the sunrise line
Figure 206498DEST_PATH_IMAGE001
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 132866DEST_PATH_IMAGE007
Wherein the first electric quantity is summed up
Figure 743976DEST_PATH_IMAGE007
The calculation formula of (A) is as follows:
Figure 97597DEST_PATH_IMAGE008
(ii) a Based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained
Figure 895789DEST_PATH_IMAGE009
(ii) a According to the sum of the first electric quantity
Figure 625847DEST_PATH_IMAGE007
And the second sum of electric quantities
Figure 825885DEST_PATH_IMAGE009
Calculating the electric quantity deviation rate
Figure 350407DEST_PATH_IMAGE010
Wherein the electric quantity deviation ratio is expressed as:
Figure 901474DEST_PATH_IMAGE011
(ii) a Judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value; if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold; if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
In a second aspect, the present invention provides a power consumption abnormality distribution transformer positioning apparatus based on distribution automation data, including: an acquisition module configured to acquire sunrise line active power data of a distribution automation terminal installed under a line
Figure 435223DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure 489767DEST_PATH_IMAGE002
indicating the second in a certain line
Figure 185191DEST_PATH_IMAGE002
A distribution automation terminal, a power distribution network,
Figure 223554DEST_PATH_IMAGE003
indicating the first at a certain time
Figure 298345DEST_PATH_IMAGE003
A collection point, and
Figure 207395DEST_PATH_IMAGE004
，
Figure 604878DEST_PATH_IMAGE005
in order to acquire the time interval of the acquisition,
Figure 599379DEST_PATH_IMAGE006
the first one corresponding to the active power data of sunrise line
Figure 740510DEST_PATH_IMAGE006
Day; a first computing module configured to compute active power data based on the sunrise line
Figure 769646DEST_PATH_IMAGE001
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 72451DEST_PATH_IMAGE007
Wherein the first electric quantity is summed up
Figure 819828DEST_PATH_IMAGE007
The calculation formula of (A) is as follows:
Figure 233491DEST_PATH_IMAGE008
(ii) a A summation module configured to sum the daily power consumption details in the distribution transformer collector corresponding to a certain distribution automation terminal based on the distribution line transformation relation, so as to obtain a second total power consumption
Figure 382713DEST_PATH_IMAGE009
(ii) a A second calculation module configured to sum up the first electric quantity
Figure 121999DEST_PATH_IMAGE007
And the second sum of electric quantities
Figure 91092DEST_PATH_IMAGE009
Calculating the electric quantity deviation rate
Figure 574026DEST_PATH_IMAGE010
Wherein the electric quantity deviation ratio is expressed as:
Figure 315104DEST_PATH_IMAGE011
(ii) a The first judgment module is configured to judge whether the electric quantity deviation rates in the continuous time periods are all smaller than a first preset threshold value; the second judging module is configured to judge whether the fluctuation deviation rate is not greater than a second preset threshold value or not if the electric quantity deviation rate in the continuous time period is not less than the first preset threshold value; and the feedback module is configured to determine that a transformer under a certain distribution automation terminal has a risk of error in a linear transformation relationship or a risk of error in a multiplying power if the fluctuation deviation rate is not greater than a second preset threshold, and determine that a transformer under a certain distribution automation terminal has a risk of electricity stealing if the fluctuation deviation rate is greater than the second preset threshold.
In a third aspect, an electronic device is provided, comprising: the power distribution automation system comprises at least one processor and a memory which is connected with the at least one processor in a communication mode, wherein the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor so as to enable the at least one processor to execute the steps of the power utilization abnormity distribution transformation positioning method based on the power distribution automation data.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the steps of the power distribution automation data-based power abnormality distribution transformation positioning method according to any one of the embodiments of the present invention.
According to the power consumption abnormal distribution transformation positioning method and device based on the distribution automation data, abnormal power consumption distribution transformation running under a circuit is combed by acquiring data such as the electric quantity of an automation terminal, the effect of positioning the abnormal distribution transformation range is achieved, the treatment efficiency is greatly improved, the power system operation and maintenance personnel are guided to conduct targeted rectification and elimination, and the method and device have important significance for comprehensively improving the lean management level and the economic running level of a power grid.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a power consumption abnormal distribution and transformation positioning method based on distribution automation data according to an embodiment of the present invention;
fig. 2 is a flowchart of a power consumption abnormal distribution and transformation positioning method based on distribution automation data according to an embodiment of the present invention;
FIG. 3(a) is a diagram of the daily power consumption of the first day of the first automated terminal according to an embodiment of the present invention
Figure 225292DEST_PATH_IMAGE012
A situation schematic diagram;
FIG. 3(b) is a diagram illustrating the daily power consumption of the first automated terminal for the next day according to an embodiment of the present invention
Figure 681681DEST_PATH_IMAGE013
A situation schematic diagram;
FIG. 3(c) is a diagram of the daily power consumption of the first automated terminal on the third day according to an embodiment of the present invention
Figure 702726DEST_PATH_IMAGE014
A situation schematic diagram;
FIG. 4(a) is a diagram of the daily power consumption of the first day of the second automated terminal according to an embodiment of the present invention
Figure 560961DEST_PATH_IMAGE015
A situation schematic diagram;
FIG. 4(b) is a diagram illustrating the daily power consumption of the second automated terminal for the next day according to an embodiment of the present invention
Figure 376470DEST_PATH_IMAGE016
A situation schematic diagram;
FIG. 4(c) is a diagram of the daily power consumption of the second automated terminal on the third day according to an embodiment of the present invention
Figure 320155DEST_PATH_IMAGE017
A situation schematic diagram;
fig. 5(a) is a diagram illustrating the daily power consumption of the third automated terminal on the first day according to an embodiment of the present invention
Figure 144892DEST_PATH_IMAGE018
A situation schematic diagram;
FIG. 5(b) is a diagram illustrating the daily power consumption of the third automated terminal for the next day according to an embodiment of the present invention
Figure 857633DEST_PATH_IMAGE019
A situation schematic diagram;
FIG. 5(c) is a diagram of the daily power consumption of the third day of the third automated terminal according to an embodiment of the present invention
Figure 109623DEST_PATH_IMAGE020
A situation schematic diagram;
fig. 6 is a block diagram of an electrical anomaly distribution positioning apparatus based on distribution automation data according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
Referring to fig. 1, a flow chart of a power utilization abnormal distribution positioning method based on distribution automation data according to the present application is shown.
As shown in fig. 1, in step S101, sunrise line active power data of a distribution automation terminal installed under a line is acquired
Figure 275025DEST_PATH_IMAGE001
Wherein, in the step (A),
Figure 637873DEST_PATH_IMAGE002
indicating the second in a certain line
Figure 470700DEST_PATH_IMAGE002
A distribution automation terminal, a power distribution network,
Figure 896521DEST_PATH_IMAGE003
indicating the first at a certain time
Figure 549219DEST_PATH_IMAGE003
A collection point, and
Figure 715758DEST_PATH_IMAGE004
，
Figure 403091DEST_PATH_IMAGE005
in order to acquire the time interval of the acquisition,
Figure 996884DEST_PATH_IMAGE006
the first one corresponding to the active power data of sunrise line
Figure 136878DEST_PATH_IMAGE006
Day;
in step S102, active power data is generated based on the sunrise line
Figure 575950DEST_PATH_IMAGE001
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 117789DEST_PATH_IMAGE007
Wherein the first electric quantity is summed up
Figure 882483DEST_PATH_IMAGE007
The calculation formula of (A) is as follows:
Figure 509774DEST_PATH_IMAGE008
；
in step S103, based on the distribution line transformation relationship, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed up in detail so as to obtain a second total power consumption
Figure 752536DEST_PATH_IMAGE009
；
In step S104, according to the sum of the first electric quantity
Figure 148882DEST_PATH_IMAGE007
And the second sum of electric quantities
Figure 818898DEST_PATH_IMAGE009
Calculating the electric quantity deviation rate
Figure 933485DEST_PATH_IMAGE010
Wherein the electric quantity deviation ratio is expressed as:
Figure 236728DEST_PATH_IMAGE011
；
in step S105, determining whether the electric quantity deviation ratios in the continuous time period are all smaller than a first preset threshold;
in step S106, if the electric quantity deviation ratio in the continuous time period is not less than a first preset threshold, determining whether the fluctuation deviation ratio is not greater than a second preset threshold;
in step S107, if the fluctuation deviation ratio is not greater than the second preset threshold, a transformer in a certain distribution automation terminal has a risk of error in a linear transformation relationship or a risk of error in a multiplying factor, and if the fluctuation deviation ratio is greater than the second preset threshold, a transformer in a certain distribution automation terminal has a risk of electricity stealing.
The method is based on the obtained active power data of sunrise line
Figure 487581DEST_PATH_IMAGE001
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 328498DEST_PATH_IMAGE007
And based on the distribution line variable relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail to obtain the second power consumption sum
Figure 930381DEST_PATH_IMAGE009
After the corresponding electric quantity is obtained through two modes, the first electric quantity sum is compared
Figure 514946DEST_PATH_IMAGE007
Sum of the second electric quantity
Figure 151463DEST_PATH_IMAGE009
The size of to realize on the basis of carrying out the analysis to the electric quantity deviation ratio and the undulant deviation ratio at a certain distribution automation terminal, can confirm the unusual problem of power consumption that a certain distribution automation terminal exists, thereby be convenient for later stage staff fixes a position unusual power consumption distribution transformer branch line.
In some optional embodiments, the method further comprises locating a branch line where the abnormal power distribution transformer is located based on the power utilization abnormality problem.
Referring to fig. 2, a flow chart of another power utilization abnormal distribution positioning method based on distribution automation data according to the present application is shown.
As shown in fig. 2, a power consumption abnormal distribution positioning method based on distribution automation data includes the following steps:
step one, obtaining the latest line change relationship of the line and the data of the electricity supply and sale in nearly 3 days. The method specifically comprises the following steps:
and determining the line change relation condition based on the acquired line single line diagram, and acquiring the latest electricity supply and sale quantity data of the distribution line in the period of near 3 days of abnormal line loss.
And step two, acquiring data such as distribution transformation names, table bottoms, multiplying power user types and the like under the circuit. The method specifically comprises the following steps:
and acquiring the detailed power consumption conditions of all transformers in the power sales volume, wherein the detailed power consumption conditions comprise the names of the transformers, the upper and lower bottoms of the public and special transformers, the metering multiplying power of the transformers, the daily power consumption of the distribution and transformation collector, the types of users (the public transformers or the special transformers), and the like.
And step three, acquiring daily active power data of the outgoing line of the distribution automation terminal in nearly 3 days under the line. The method specifically comprises the following steps:
and acquiring the condition of installing the electric automation terminal under the line. Assuming that the total number of the distribution automation terminals of N places of the line is N, taking the collection of the terminals once every half hour as an example, the sunrise line active power data collected by each place of the terminal in nearly 3 days is obtained
Figure 163282DEST_PATH_IMAGE001
。
Step four, calculating the daily output amount by using the active power
Figure 252461DEST_PATH_IMAGE021
. The method specifically comprises the following steps:
active power data based on acquired sunrise line
Figure 375137DEST_PATH_IMAGE001
Calculating
Figure 866162DEST_PATH_IMAGE008
In the formula, T is the collection time interval to obtain the total of all public and private variable daily electric quantities under the terminal
Figure 314460DEST_PATH_IMAGE007
；
Step five, combining the line-to-line relation, and summing the daily power consumption details in the corresponding distribution transformer collector under the terminal to obtain
Figure 625356DEST_PATH_IMAGE009
。
And step six, judging whether the electric quantity deviation rate eta is less than 5% after 3 days. The method specifically comprises the following steps:
after the corresponding electric quantity is obtained through two modes, the electric quantity is compared
Figure 551724DEST_PATH_IMAGE009
And
Figure 897254DEST_PATH_IMAGE009
magnitude, defining the deviation ratio of the electric quantity as
Figure 519384DEST_PATH_IMAGE022
If eta is less than 5% in nearly 3 days, the terminal is not provided with abnormal power distribution transformation under the outgoing line.
Seventhly, if eta is less than 5% in nearly 3 days, judging whether the fluctuation deviation rate meets the requirement
Figure 317576DEST_PATH_IMAGE023
. The method specifically comprises the following steps:
if the 3-day internal form
Figure 47635DEST_PATH_IMAGE024
Electric quantity difference value of
Figure 247672DEST_PATH_IMAGE025
Maintained at a certain level, i.e. rate of fluctuation deviation
Figure 772194DEST_PATH_IMAGE026
Satisfy the requirement of
Figure 57682DEST_PATH_IMAGE023
In the formula (I), wherein,
Figure 591431DEST_PATH_IMAGE027
in order to be able to measure the rate of the fluctuation deviation,
Figure 645975DEST_PATH_IMAGE028
in a continuous time period
Figure 606978DEST_PATH_IMAGE029
The difference in the amount of power of each distribution automation terminal,
Figure 379762DEST_PATH_IMAGE030
in a continuous time period
Figure 451623DEST_PATH_IMAGE031
Average value of difference between electric quantities of individual distribution automation terminals, i.e.
Figure 626252DEST_PATH_IMAGE032
，
Figure 492577DEST_PATH_IMAGE033
Is as follows
Figure 752657DEST_PATH_IMAGE031
The power difference of the k-th day of each distribution automation terminal,
Figure 362630DEST_PATH_IMAGE034
there may be problems such as error of linear transformation relationship or error of magnification ratio, etc., if it is determined that the position is not the same as the position of the display panel
Figure 660275DEST_PATH_IMAGE035
In the case of large fluctuation deviations, i.e.
Figure 963080DEST_PATH_IMAGE036
There may be a theft of electricity.
In a specific embodiment, the abnormal situation of line loss occurs continuously for a plurality of days on a new 10kV line, and data such as the latest single line diagram of the line, the detail of the power supply and sale and the detail situation of the power consumption of the transformer are obtained according to requirements for analysis. The total 4 positions are measured by an automatic terminal arranged under the line after combing, and daily active power data of each position are obtained
Figure 710456DEST_PATH_IMAGE037
And the total of all public and private variable daily electric quantities of 3 continuous days under the terminal is obtained by integral calculation
Figure 124120DEST_PATH_IMAGE038
In the case shown in fig. 3(a) to 5(c), the integrated value in the graph is the terminal-measured daily electricity consumption data.
Calculating the total of daily electric quantity of distribution transformer under each terminal by means of active power integral
Figure 7763DEST_PATH_IMAGE038
Then, the electric quantity of all distribution and transformation collectors under the automatic terminal is counted through a single line diagram to obtain
Figure 481469DEST_PATH_IMAGE039
The formation tables are shown in tables 1 to 3 below. Calculating the electric quantity by two methods respectively to obtain deviation rate
Figure 450562DEST_PATH_IMAGE040
As shown in table 4 below.
Figure 402338DEST_PATH_IMAGE041
Figure 406066DEST_PATH_IMAGE042
Figure 316253DEST_PATH_IMAGE043
Figure 772642DEST_PATH_IMAGE044
The comparison shows that the third automatic terminal measures the electric quantity data
Figure 528109DEST_PATH_IMAGE045
And the data of the electric quantity measured by the collector
Figure 120764DEST_PATH_IMAGE046
Rate of deviation of electric quantity
Figure 936273DEST_PATH_IMAGE040
The power consumption abnormal distribution change exists under the terminal, and the fluctuation deviation rate within 3 days
Figure 148467DEST_PATH_IMAGE047
Satisfy the requirement of
Figure 707625DEST_PATH_IMAGE048
The power utilization abnormity is the public and special variable rate problem.
After the problem is successfully determined, the user goes to the site to carry out multiplying factor check on two distribution transformers under a third terminal one by one, the phenomenon that the daily electric quantity is abnormal due to the fact that the multiplying factor of one distribution transformer is too small is found, the phenomenon of leakage and leakage occurs, and the line loss returns to be normal after the measuring multiplying factor is adjusted in a power failure mode.
Referring to fig. 6, a block diagram of a power utilization abnormal distribution transformer positioning device based on distribution automation data according to the present application is shown.
As shown in fig. 6, the power consumption abnormal distribution transformer positioning apparatus 200 includes an obtaining module 210, a first calculating module 220, a summing module 230, a second calculating module 240, a first determining module 250, a second determining module 260, and a feedback module 270.
Wherein, the obtaining module 210 is configured to obtain sunrise line active power data of the distribution automation terminal installed under the line
Figure 420366DEST_PATH_IMAGE037
Wherein, in the step (A),
Figure 141197DEST_PATH_IMAGE049
indicating the second in a certain line
Figure 572178DEST_PATH_IMAGE049
A distribution automation terminal, a power distribution network,
Figure 935027DEST_PATH_IMAGE050
indicating the first at a certain time
Figure 767853DEST_PATH_IMAGE050
A collection point, and
Figure 659586DEST_PATH_IMAGE051
，
Figure 577864DEST_PATH_IMAGE052
in order to acquire the time interval of the acquisition,
Figure 478823DEST_PATH_IMAGE053
the first one corresponding to the active power data of sunrise line
Figure 166157DEST_PATH_IMAGE053
Day; a first calculation module 220 configured to calculate active power data based on the sunrise line
Figure 494370DEST_PATH_IMAGE037
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 634364DEST_PATH_IMAGE038
Wherein the first electric quantity is summed up
Figure 339015DEST_PATH_IMAGE038
The calculation formula of (A) is as follows:
Figure 880855DEST_PATH_IMAGE054
(ii) a A summation module 230 configured to sum the daily power consumption details in the distribution transformer collector corresponding to a certain distribution automation terminal based on the distribution line transformation relation, so as to obtain a second total power consumption
Figure 660197DEST_PATH_IMAGE039
(ii) a A second calculation module 240 configured to sum the first electric quantity
Figure 287487DEST_PATH_IMAGE038
And the second sum of electric quantities
Figure 530250DEST_PATH_IMAGE039
Calculating the electric quantity deviation rate
Figure 192175DEST_PATH_IMAGE055
Wherein the electric quantity deviation ratio is expressed as:
Figure 862191DEST_PATH_IMAGE056
(ii) a A first determining module 250 configured to determine whether the electric quantity deviation rates in consecutive time periods are all smaller than a first preset threshold; a second determining module 260 configured to determine whether the fluctuation deviation ratio is not greater than a second preset threshold if the electric quantity deviation ratio in the continuous time period is not less than a first preset threshold; the feedback module 270 is configured to determine that there is a risk of a transformer relationship error or a magnification ratio error risk in the transformer at a certain distribution automation terminal if the fluctuation deviation ratio is not greater than a second preset threshold, and determine that there is a risk of electricity stealing in the transformer at the certain distribution automation terminal if the fluctuation deviation ratio is greater than the second preset threshold.
It should be understood that the modules recited in fig. 6 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 6, and are not described again here.
In other embodiments, the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, where the computer-executable instructions may execute the power utilization abnormality distribution transformation positioning method based on the distribution automation data in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
obtaining distribution automation of installation under lineSunline active power data of terminal
Figure 976778DEST_PATH_IMAGE037
；
Based on the active power data of the sunrise line
Figure 23231DEST_PATH_IMAGE037
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 539663DEST_PATH_IMAGE038
；
Based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained
Figure 380580DEST_PATH_IMAGE039
；
According to the sum of the first electric quantity
Figure 982463DEST_PATH_IMAGE038
And the second sum of electric quantities
Figure 567028DEST_PATH_IMAGE039
Calculating the electric quantity deviation rate
Figure 937966DEST_PATH_IMAGE055
；
Judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value;
if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold;
if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the power abnormality distribution positioning apparatus based on the distribution automation data, and the like. Further, the computer-readable storage medium may include high speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the computer readable storage medium optionally includes memory remotely located from the processor, and the remote memory may be connected to a power utilization anomaly distribution and location device based on the distribution automation data via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 7, the electronic device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, as exemplified by the bus connection in fig. 7. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running the nonvolatile software programs, instructions and modules stored in the memory 320, namely, implementing the power utilization abnormality distribution transformation positioning method based on the power distribution automation data of the above method embodiment. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the power utilization abnormality distribution positioning device based on the power distribution automation data. The output device 340 may include a display device such as a display screen.
The electronic device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an embodiment, the electronic device is applied to a power consumption abnormality distribution and transformation positioning device based on distribution automation data, and is used for a client, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:
obtaining sunrise line active power data of distribution automation terminal installed under line
Figure 215364DEST_PATH_IMAGE037
；
Based on the active power data of the sunrise line
Figure 38963DEST_PATH_IMAGE037
Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities
Figure 430149DEST_PATH_IMAGE038
；
Based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained
Figure 655594DEST_PATH_IMAGE039
；
According to the sum of the first electric quantity
Figure 103893DEST_PATH_IMAGE038
And the second sum of electric quantities
Figure 680368DEST_PATH_IMAGE039
Calculating the electric quantity deviation rate
Figure 606735DEST_PATH_IMAGE055
；
Judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value;
if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold;
if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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 of the embodiments of the present invention.

Claims (6)

1. A power utilization abnormity distribution transformer positioning method based on distribution automation data is characterized by comprising the following steps:
obtaining sunrise line active power data P of distribution automation terminal installed under linejk(i) Wherein j represents the second in a certain linej distribution automation terminals, wherein i represents the ith collection point at a certain moment, i is more than or equal to 1 and less than or equal to 24/T, T is a collection time interval, and k represents the kth day corresponding to the active power data of the sunrise line;
based on the active power data P of the sunrise linejk(i) Calculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain a first electric quantity total WjkWherein the first electric quantity is total WjkThe calculation formula of (A) is as follows:
Figure FDA0003298127560000011
based on the distribution line variable relation, the daily power consumption in the corresponding distribution and transformation collector under a certain distribution automation terminal is summed in detail to obtain a second power consumption sum W'jk；
According to the first electric quantity sum WjkAnd the sum of the second electric quantity W'jkAnd calculating an electric quantity deviation rate eta, wherein the electric quantity deviation rate is expressed as:
Figure FDA0003298127560000012
judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value;
if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold, wherein the expression of the fluctuation deviation rate is as follows:
Figure FDA0003298127560000013
in the formula, deltajAs a rate of fluctuation deviation, ΔjFor the power difference of the jth distribution automation terminal in successive time periods,
Figure FDA0003298127560000014
as an average of the power difference of the jth distribution automation terminal over successive time periods, i.e.
Figure FDA0003298127560000015
ΔjkIs the k-th power difference value delta of the jth distribution automation terminaljk＝|Wjk-W′jk|；
If the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
2. The method according to claim 1, wherein the distribution line variation relationship is determined by a distribution line single line diagram.
3. The power consumption abnormal distribution positioning method based on the distribution automation data as claimed in claim 1, wherein after determining whether the power deviation rates in the continuous time periods are all less than a first preset threshold, the method further comprises:
and if the electric quantity deviation rates in the continuous time periods are all smaller than a first preset threshold value, the abnormal power distribution change does not exist in the certain power distribution automatic terminal.
4. The utility model provides an electricity utilization anomaly distribution transformer positioner based on distribution automation data which characterized in that includes:
an acquisition module configured to acquire sunrise line active power data P of a distribution automation terminal installed under a linejk(i) Wherein j represents the jth power distribution automation terminal in a certain line, i represents the ith acquisition point at a certain time, i is more than or equal to 1 and less than or equal to 24T, T is an acquisition time interval, and k represents the kth day corresponding to the active power data of the sunrise line;
a first calculation module configured to calculate active power data P based on the sunrise linejk(i) And calculating the daily power consumption of all public and private transformers under a certain distribution automation terminalSum of quantities such that the sum of the first quantities of electricity W is reachedjkWherein the first electric quantity is total WjkThe calculation formula of (A) is as follows:
Figure FDA0003298127560000021
the summation module is configured to sum the daily power consumption details in the corresponding distribution transformer collector under a certain distribution automation terminal based on the distribution line variable relation, so that the total quantity W 'of the second power consumption is obtained'jk；
A second calculation module configured to calculate a sum W of the first electric quantityjkAnd the sum of the second electric quantity W'jkAnd calculating an electric quantity deviation rate eta, wherein the electric quantity deviation rate is expressed as:
Figure FDA0003298127560000022
the first judgment module is configured to judge whether the electric quantity deviation rates in the continuous time periods are all smaller than a first preset threshold value;
a second judging module configured to judge whether a fluctuation deviation rate is not greater than a second preset threshold if the electric quantity deviation rate in the continuous time period is not less than a first preset threshold, wherein an expression of the fluctuation deviation rate is as follows:
Figure FDA0003298127560000023
in the formula, deltajAs a rate of fluctuation deviation, ΔjFor the power difference of the jth distribution automation terminal in successive time periods,
Figure FDA0003298127560000031
as an average of the power difference of the jth distribution automation terminal over successive time periods, i.e.
Figure FDA0003298127560000032
ΔjkIs as followsDifference value delta of electric quantity of j distribution automation terminals in k dayjk＝|Wjk-W′jk|；
And the feedback module is configured to determine that a transformer under a certain distribution automation terminal has a risk of error in a linear transformation relationship or a risk of error in a multiplying power if the fluctuation deviation rate is not greater than a second preset threshold, and determine that a transformer under a certain distribution automation terminal has a risk of electricity stealing if the fluctuation deviation rate is greater than the second preset threshold.
5. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1 to 3.
6. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 3.
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