CN116093937A - Layered research and judgment method and system for power failure faults of 10kV line and below - Google Patents
Layered research and judgment method and system for power failure faults of 10kV line and below Download PDFInfo
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Abstract
The invention discloses a layered study and judgment method and system for a power failure fault of 10kV lines and below, wherein the method comprises the following steps: obtaining lines, distribution transformers and user tables from a database, and carrying out association to obtain a wide table of the unit-line-area-user relationship; acquiring line power failure events, distribution transformer power failure events and user power failure events from a database, and removing false alarm data; generating a power failure event of a box by a user power failure event, and supplementing and generating a distribution transformer power failure missing report event; generating a branch power failure event by the distribution transformer power failure event, and supplementing a main power failure missing report event; and (3) carrying out layered research and judgment on the power failure event, eliminating repeated messages, and generating accurate research and judgment messages. Under the existing conditions, huge investment is not additionally increased, the power failure event data of each level is utilized to comprehensively judge the power failure, the fault part is defined, and finally the fault is positioned to a main line, a branch line, a distribution transformer, a meter box and a user, so that accurate rush repair is realized, and the operation and maintenance quality effect is improved.
Description
Technical Field
The invention belongs to the technical field of power automation, and particularly relates to a layered study and judgment method and system for power failure faults of 10kV lines and below.
Background
The power failure fault is a power fault which directly affects the power consumption experience of power customers and is directly related to the service quality of a company and user evaluation. Therefore, the power supply needs to be quickly repaired after the power failure occurs and recovered in time. At present, most of the first-aid repair work of the distribution network is passive, and the channel for acquiring the fault message comprises customer complaints, platform manager feedback and work order distribution. There are problems of inaccurate messages, insufficient timeliness, lack of unified message alarm mechanisms, etc. The occurrence of power failure faults is finally reflected in power failure of users, but equipment for sending faults is not clear, and part links such as branch lines and meter boxes cannot collect electrical data, so that the emergency repair targets are not clear, and the emergency repair efficiency is reduced.
Therefore, when a power failure occurs, the emergency repair staff needs to obtain a clear emergency repair object, namely the fault point is located, so that the emergency repair efficiency is improved.
Disclosure of Invention
The invention provides a layered study and judgment method and system for a power failure fault of 10kV line and below, which are used for solving the technical problem that the power failure fault position cannot be positioned by using power failure event data.
In a first aspect, the invention provides a layered study and judgment method for a power failure fault of a 10kV line or below, which comprises the following steps: line outage event to be acquiredThe method comprises the steps that data, distribution transformer power failure event data and user power failure event data are associated based on line numbers, distribution transformer numbers and user numbers to obtain a power failure event wide table, wherein the line power failure event data, the distribution transformer power failure event data and the user power failure event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are 0; acquiring at least one user power failure event data in the power failure event wide table, grouping the at least one user power failure event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and counting the number of users in the at least one distribution transformer group; judging whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer connection band and a second threshold value
And determining whether the number of users in said at least one distribution group is smaller than a first threshold +.>
Wherein the certain distribution transformer group comprises a certain distribution transformer number, and the certain distribution transformer number is the same as the distribution transformer number of the certain distribution transformer; if the number of users is smaller than the sum of all the number of users of a certain distribution transformer and the second threshold +.>
And is not less than a first threshold +.>
Generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1; and carrying out power failure positioning on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj.
In a second aspect, the present invention provides a 10kVThe circuit and following power failure layering research judgement system includes: the association module is configured to associate the acquired line power outage event data, distribution transformer power outage event data and user power outage event data based on line numbers, distribution transformer numbers and user numbers to obtain a power outage event wide table, wherein the line power outage event data, the distribution transformer power outage event data and the user power outage event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0; the grouping module is configured to acquire at least one user power outage event data in the power outage event wide table, group the at least one user power outage event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and count the number of users in the at least one distribution transformer group; a judging module configured to judge whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer splicing band and a second threshold
And determining whether the number of users in said at least one distribution group is smaller than a first threshold +.>
Wherein the certain distribution transformer group comprises a certain distribution transformer number, and the certain distribution transformer number is the same as the distribution transformer number of the certain distribution transformer; an updating module configured to determine if the number of users is less than the second threshold value and the total number of users of a certain distribution transformer>
And is not less than a first threshold +.>
Generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1; positioningAnd the module is configured to perform power failure fault positioning on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj.
In a third aspect, there is provided an electronic device, comprising: the system comprises at least one processor and a memory communicatively connected with 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 steps of the method for hierarchically studying and judging power failure of 10kV lines and below according to any embodiment of the invention.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor, causes the processor to perform the steps of the method for hierarchically studying and judging a power failure of 10kV line and below according to any of the embodiments of the present invention.
According to the method and the system for layered research and judgment of the power failure faults of the 10kV line and below, based on the existing real-time power failure data of the power system, the power failure event of the 10kV line, the distribution transformer power failure event and the user power failure event are included, comprehensive analysis and research and judgment are carried out on the power failure event information, fault points are clear, and the working efficiency of emergency repair personnel can be greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for layered study and judgment of power failure of 10kV lines and below according to an embodiment of the invention;
FIG. 2 is a flow chart of a method for layered study and judgment of power failure of 10kV lines and below according to an embodiment of the present invention;
FIG. 3 is a block diagram of a system for hierarchical analysis of power failure of 10kV lines and below according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of a method for hierarchically studying and judging a power failure of a 10kV line and below is shown.
As shown in FIG. 1, the layered study and judgment method for the power failure of the 10kV line and below specifically comprises the following steps:
step S101, the obtained line power outage event data, distribution transformer power outage event data and user power outage event data are associated based on line numbers, distribution transformer numbers and user numbers to obtain a power outage event wide table, wherein the line power outage event data, the distribution transformer power outage event data and the user power outage event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0.
Step S102, obtaining at least one user power outage event data in the power outage event wide table, grouping the at least one user power outage event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and counting the number of users in the at least one distribution transformer group.
Step S103, judging whether the number of users in a certain distribution transformer group is smaller than the number of all users of a certain distribution transformer splicing band and a second threshold
And determining the at least one distribution groupWhether the number of users in (a) is smaller than a first threshold +.>
。
In this embodiment, a certain configuration transformer group includes a certain configuration transformer number, and the certain configuration transformer number is the same as the configuration transformer number of a certain configuration transformer. If the number of users is not less than the second threshold and the number of all users of a certain distribution transformer
If the power failure event data of the power distribution transformer corresponding to a certain power distribution transformer number exists in the power failure event wide table;
if the power failure event data exists, the second field is_sj of the power failure event data of a certain power distribution transformer corresponding to a certain power distribution transformer number is assigned to 1, and the first field is_xj of the power failure event data of all users in a certain power distribution transformer group is assigned to 1;
if the power failure event data does not exist, generating power failure event data of a certain power distribution transformer corresponding to a certain power distribution transformer number, and assigning a first field is_xj of all user power failure event data in the certain power distribution transformer group to be 1, wherein the first field is_xj of the power failure event data of the power distribution transformer is assigned to be 0, and the second field is_sj is assigned to be 1.
Step S104, if the number of users is smaller than the second threshold and the number of all users of a certain distribution transformer
And is not less than a first threshold +.>
And generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1.
Step S105, the updated blackout event wide table is subjected to blackout fault positioning according to the assignment of the first field is_xj and the second field is_sj.
In this embodiment, at least one line outage event data with a value of 1 in the second field is_sj is screened out from the updated outage event wide table, and at least one line outage message is generated; screening at least one distribution transformer power outage event data with the value of the second field is_sj being 1 and the value of is_xj being 0 from the updated power outage event wide table, and generating a distribution transformer power outage message; judging the power failure of the meter box by the lower-level power failure, and generating a meter box power failure message; and screening at least one user power outage event data with the value of 0 in the updated power outage event wide table, and generating at least one user power outage message.
In summary, the method of the application obtains the line power failure event, the distribution transformer power failure event and the user power failure event from the database; generating a power failure event of a box by a user power failure event, and supplementing and generating a distribution transformer power failure missing report event; and (3) carrying out layered research and judgment on the power failure event, eliminating repeated messages, and generating accurate research and judgment messages. Under the existing conditions, huge investment is not additionally increased, the power failure event data of each level is utilized to comprehensively judge the power failure, the fault part is defined, and finally the fault is positioned to a main line, a branch line, a distribution transformer, a meter box and a user, so that accurate rush repair is realized, and the operation and maintenance quality effect is improved.
Referring to fig. 2, a flow chart of a method for hierarchically studying and judging a power failure of a 10kV line and below according to an embodiment of the present application is shown.
As shown in fig. 2, the method for hierarchically studying and judging the power failure of the 10kV line and below specifically comprises the following steps:
step (1) basic data acquisition and association
Step 1.1: the basic data of the equipment are acquired, and the basic data comprise three data tables: (1) The acquisition field comprises ywdw, line_id and line_name; (2) The distribution transformer table comprises an acquisition field which comprises a tran_id, a tran_name and a line_id; (3) user table: the acquisition field includes ons_no, ons_name, tran_id. Wherein ywdw, line_id, line_name, tran_id, tran_name, con_no, con_name represent operation and maintenance units, line numbers, line names, distribution transformer numbers, distribution transformer names, user numbers, and user names, respectively.
Step 1.2: and (3) table association, namely associating the line, the distribution transformer and the user table, wherein associated main keys are line_id and tran_id respectively, so as to obtain wide table fields ywdwdw, line_id, line_name, tran_id, tran_name, con_no and con_name, and filling non-existing fields of the line and the distribution transformer equipment with NULL.
Step 1.3: all the distribution transformers are grouped according to line_id, the distribution variable number tran_num_sum connected to each line is calculated, all the users are grouped according to tran_id, the user number ons_num_sum of each distribution transformer is calculated and added to the columns of the table respectively, finally, a relation wide table is formed, the fields are ywdw, line_id, line_name, tran_id, tran_name, con_no, con_name, tran_num_sum and con_num_sum, and the non-existence field of the distribution transformer equipment is filled with NULL.
Step (2) power failure data acquisition and preprocessing
The current power failure event uploaded by the acquisition terminal comprises a 10kV main line power failure event, a distribution transformer power failure event and a user power failure event.
Step 2.1: and obtaining power failure data. The power failure data of the power data center station has real-time performance, and real-time power failure event data can be obtained through related components. The 10kV main line power failure event is obtained and the field is line_id and sjsj; station power outage event tran_id, sjsj; user power outage event: the acquisition fields are ons_no, sjsj. Where sjsj is event occurrence time.
Step 2.2: and (5) preprocessing data. Because the problems of time deviation, transmission channel delay and the like of the acquisition terminal need to preprocess the power failure event data after receiving the data, firstly, the expiration data before the current time of 5 minutes is removed, the error data after the current time of 5 minutes is removed, and then the events are respectively sequenced according to sjsj according to the equipment type.
Step 2.3: data association is added with a tag field. And associating the preprocessed data with the relation wide table to obtain a power failure event wide table, and adding fields id, type, is _xj and is_sj. The last table fields are id, ywdw, type, line _id, line_name, tran_id, tran_name, con_no, con_name, tran_num_sum, con_num_sum, sjsj, is_xj, is_sj. id represents an automatically generated event unique identifier; the type represents a power failure event type, and the value range of the type is 1,2,3,4 and 5, wherein 1 represents a 10kV main line power failure, 2 represents a branch line power failure, 3 represents a distribution transformer power failure, 4 represents a meter box power failure and 5 represents a user power failure; is_xj indicates whether the power is off at the lower level, 1 indicates yes, 0 indicates no, and a default value of 0 indicates that the power is off at the lower level, i.e. the power is not off at the upper level; is_sj indicates whether or not the power failure is at the upper level, 1 indicates yes, 0 indicates no, and a default value of 0 indicates that the power failure is not at the upper level, i.e., the power failure of the lower-level equipment does not occur.
Step (3) generating a meter box power failure event
The meter box is a place where a plurality of meter meters are installed in a centralized way, and the meter box power failure event cannot be collected, so that the meter box power failure event can be generated by power failure of multiple users at the same time, and the specific method is as follows:
step 3.1: and (3) screening type=5 data from the power outage event wide table, constructing an input matrix, calculating, sequencing the data according to the sjsj sequence, grouping the data according to tran_id, and counting the number of the ons_no of each group to obtain the ons_num_tmp.
Step 3.2: each set of ons_num_tmp is compared with a first threshold value
(typically set to 3) and a second threshold +.>
(typically set to 0.3) and the product of the corresponding ons _ num _ sum.
If it meets
And judging that the distribution transformer has power failure, screening out power failure data of which the type=3 and the tran_id is equal to the tran_id of the group of events from a power failure event wide table, wherein the corresponding is_sj is assigned to be 1, and the power failure data is_xj of all users in the group is assigned to be 1. If the power outage data of type=3 and tran_id equal to the tran_id of the group of events is not found from the power outage event wide table, indicating that the distribution transformer fails to report, generating a new power outage event, wherein type=3, is_xj=0, is_sj=1, and the values of the other fields are the same as those of the group of eventsEqual to the first piece of data of the group, and the value of the power outage data is_xj of all users of the group is 1;
if it meets
Judging that the table box is in power failure, generating new power failure data, wherein the type=4, the is_xj=0, the is_sj=1, the values of the other fields are equal to the first data, and the value of all user power failure data is_xj in the group is 1;
otherwise, the set of all user outage data is_sj is assigned to 1.
Step (4) branch line power failure event generation
The branch line is a branch of a 10kV main line, and is generally separated from the main line by a sectionalizing switch, most of the switches have no electrical data, so that a meter box branch line event cannot be acquired, and therefore, the branch line power failure event can be generated by power failure of multiple distribution transformers at the same time, and the specific method is as follows:
step 4.1: and (3) screening type=3 data from the power outage event wide table, constructing an input matrix, calculating, sequencing the data sjsj sequentially, grouping according to line_ids, and counting the number of tran_ids of each group to obtain tran_num_tmp.
Step 4.2: each group of tran_num_tmp is matched with a first threshold value
(typically set to 3) and a second threshold +.>
(typically set to 0.3) and the corresponding tran_num_sum.
If it meets
And judging that the main line is in power failure, screening out power failure data of which the type=1 and the line_id is equal to the line_id to which the group of events belong from a power failure event wide table, wherein the corresponding is_sj is assigned to be 1, and the power failure data is_xj of all the distribution transformer in the group is assigned to be 1. If the power outage data of which the type=1 and the line_id are equal to the line_id of the group of events are not found from the power outage event wide table, the 10kV main line power outage report is indicated, and a new power outage is generatedEvent, type=1, is_xj=0, is_sj=1, the other field values are equal to the first piece of data of the group, and all distribution transformer outage data is_xj of the group are assigned to 1;
if it meets
Judging that the branch line is in power failure, generating new power failure data, wherein the type=2, is_xj=0, is_sj=1, the values of the other fields are equal to the first data, and the value of all distribution transformer power failure data is_xj in the group is assigned to be 1;
otherwise, the set of data is_sj is assigned 1.
Step (5) layered research and judgment and fault positioning
The power failure of the 10kV line is the uppermost stage, and the power failure information of the 10kV line is generated by only judging the is_sj and screening out the power failure data of the is_sj=1 without considering the is_xj; judging the branch power failure by lower-level power failure, and generating branch power failure information completely; judging whether the distribution transformer power failure is misreported or not, if the distribution transformer power failure is a lower-level power failure, screening out the data of which is_sj=1 and is_xj=0, and generating a distribution transformer power failure message; judging the power failure of the meter box by the lower-level power failure, and generating a meter box power failure message; since the user power outage is the lowest level, the user power outage message is generated by judging is_xj and screening out the data of is_xj=0 without considering is_sj. And finally, carrying out layered study and judgment on the power failure faults of 10kV and below to form fault messages, and sending the fault messages to operation and maintenance repair personnel to guide the development of operation and maintenance repair work of the distribution network.
In summary, in the method of the embodiment, in the first step, the topology structure is obtained, the line, the configuration transformer and the user table are obtained from the database, and the related units, the line, the platform and the user relationship wide table are obtained; step two, acquiring a 10k main line power failure event, a distribution transformer power failure event and a user power failure event from a database, and removing false alarm data; generating a box power failure event by a user power failure event, and complementarily generating a distribution transformer power failure missing report event; generating a branch power failure event by the distribution transformer power failure event, and supplementing a main power failure missing report event; and fifthly, carrying out layered research and judgment on the power failure event, eliminating repeated messages, and generating accurate research and judgment messages, thereby having the following remarkable effects.
Under the condition that equipment investment is not increased in a large area, the problem of difficulty in production operation is solved through a big data analysis technology, the algorithm accuracy is high, the economic benefit is good, the data value-added transformation is realized, and the power-assisted power grid digital transformation is realized;
the fault information of parts which are not provided with acquisition equipment and cannot sense electric quantity such as branch lines, meter boxes and the like can be realized, the gap of the traditional intermediate link of network distribution sensing is filled, and the full-scene full-aspect fault sensing of the network distribution is realized;
the equipment where the fault is actually located can be positioned, the affected equipment fault information is shielded, a large amount of on-site troubleshooting work and false alarm of the fault information are avoided, and the rush repair efficiency and the enterprise service level are greatly improved.
Referring to fig. 3, a block diagram of a system for hierarchical fault diagnosis of 10kV lines and below is shown.
As shown in fig. 3, the power outage fault layered research and judgment system 200 includes a correlation module 210, a grouping module 220, a judgment module 230, an update module 240, and a positioning module 250.
The association module 210 is configured to associate the obtained line outage event data, distribution transformer outage event data and user outage event data based on a line number, a distribution transformer number and a user number to obtain a outage event wide table, wherein the line outage event data, the distribution transformer outage event data and the user outage event data each comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0; the grouping module 220 is configured to obtain at least one user outage event data in the outage event wide table, group the at least one user outage event data according to the association relation between the distribution transformer number and the user number to obtain at least one distribution transformer group, and count the number of users in the at least one distribution transformer group; a judging module 230 configured to judge whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer and a second threshold
And determining the product of the at least one set of distribution transformersWhether the number of users in the others is smaller than a first threshold +.>
Wherein the certain distribution transformer group comprises a certain distribution transformer number, and the certain distribution transformer number is the same as the distribution transformer number of the certain distribution transformer; an updating module 240 configured to determine if the number of users is less than the second threshold and the total number of users of a certain distribution transformer>
And is not less than a first threshold +.>
Generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1; the locating module 250 is configured to locate the power outage fault on the updated power outage event wide table according to the assignment of the first field is_xj and the second field is_sj.
It should be understood that the modules depicted in fig. 3 correspond to the 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 equally applicable to the modules in fig. 3, and are not described here again.
In other embodiments, the present invention further provides a computer readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to perform the method for performing the method for hierarchically studying and judging a power failure of the 10kV line and below in any of the method embodiments described above;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
correlating the acquired line power outage event data, distribution transformer power outage event data and user power outage event data on the basis of line numbers, distribution transformer numbers and user numbers to obtain a power outage event wide table, wherein the line power outage event data, the distribution transformer power outage event data and the user power outage event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0;
acquiring at least one user power failure event data in the power failure event wide table, grouping the at least one user power failure event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and counting the number of users in the at least one distribution transformer group;
judging whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer connection band and a second threshold value
And determining whether the number of users in said at least one distribution group is smaller than a first threshold +.>
Wherein the certain distribution transformer group comprises a certain distribution transformer number, and the certain distribution transformer number is the same as the distribution transformer number of the certain distribution transformer;
if the number of users is smaller than the second threshold and the number of all users of a certain distribution transformer
And is not less than a first threshold +.>
Generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1;
and carrying out power failure positioning on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj.
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, at least one application program required for a function; the storage data area may store data created from the use of a power outage fault layered research and judgment system of 10kV line and below, and the like. In addition, 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 with respect to the processor, the remote memory being connectable to the 10kV line and below blackout fault stratification research system 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. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 4, where the 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, memory 320, input device 330, and output device 340 may be connected by a bus or other means, for example in fig. 4. 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 nonvolatile software programs, instructions and modules stored in the memory 320, i.e., implements the above-described method embodiment 10kV line and below power outage fault hierarchical research and determination method. 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 10kV line and below outage fault stratification research system. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
As an implementation manner, the electronic device is applied to a layered study and judgment system for power failure faults of 10kV lines and below, and is used for clients, and comprises: 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, the instructions being executable by the at least one processor to enable the at least one processor to:
correlating the acquired line power outage event data, distribution transformer power outage event data and user power outage event data on the basis of line numbers, distribution transformer numbers and user numbers to obtain a power outage event wide table, wherein the line power outage event data, the distribution transformer power outage event data and the user power outage event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0;
acquiring at least one user power failure event data in the power failure event wide table, grouping the at least one user power failure event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and counting the number of users in the at least one distribution transformer group;
judging whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer connection band and a second threshold value
And determining whether the number of users in said at least one distribution group is smaller than a first threshold +.>
Wherein the certain distribution transformer group comprises a certain distribution transformer number, and the certain distribution transformer number is the same as the distribution transformer number of the certain distribution transformer;
if the number of users is smaller than the second threshold and the number of all users of a certain distribution transformer
And is not less than a first threshold +.>
Generating a certain table box stopThe power failure event data are added into the power failure event wide table, and the first field is_xj of all the user power failure event data in a certain distribution group is assigned to 1, wherein the first field is_xj in the power failure event data of a certain table box is assigned to 0, and the second field is_sj is assigned to 1;
and carrying out power failure positioning on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the various embodiments or methods of some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A layered study and judgment method for a 10kV line and a power failure below is characterized by comprising the following steps:
correlating the acquired line power outage event data, distribution transformer power outage event data and user power outage event data on the basis of line numbers, distribution transformer numbers and user numbers to obtain a power outage event wide table, wherein the line power outage event data, the distribution transformer power outage event data and the user power outage event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0;
acquiring at least one user power failure event data in the power failure event wide table, grouping the at least one user power failure event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and counting the number of users in the at least one distribution transformer group;
judging whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer connection band and a second threshold value
And determining whether the number of users in said at least one distribution group is smaller than a first threshold +.>
Wherein the certain distribution transformer group comprises a certain distribution transformer number, and the certain distribution transformer number is the same as the distribution transformer number of the certain distribution transformer;
if the number of users is smaller than the second threshold and the number of all users of a certain distribution transformer
And is not less than a first threshold +.>
Generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1;
and carrying out power failure positioning on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj.
2. A according to claim 1The layered judging method for power failure of 10kV line and below is characterized in that whether the number of users in a certain distribution transformer group is smaller than the number of all users of a certain distribution transformer splicing belt or not and a second threshold value are judged
And determining whether the number of users in said at least one distribution group is smaller than a first threshold +.>
Thereafter, the method further comprises:
if the number of users is not less than the second threshold and the number of all users of a certain distribution transformer
If the power failure event data of the power distribution transformer corresponding to a certain power distribution transformer number exists in the power failure event wide table;
if the power failure event data exists, the second field is_sj of the power failure event data of a certain power distribution transformer corresponding to a certain power distribution transformer number is assigned to be 1, and the first field is_xj of the power failure event data of all users in a certain power distribution transformer group is assigned to be 1.
3. The method for layered study and judgment of power outage faults of 10kV line and below according to claim 2, wherein after judging whether there is power outage event data of a certain power distribution transformer corresponding to a certain power distribution transformer number in the power outage event wide table, the method further comprises:
if the power failure event data does not exist, generating power failure event data of a certain power distribution transformer corresponding to a certain power distribution transformer number, and assigning a first field is_xj of all user power failure event data in the certain power distribution transformer group to be 1, wherein the first field is_xj of the power failure event data of the power distribution transformer is assigned to be 0, and the second field is_sj is assigned to be 1.
4. The method for layered study and judgment of power outage faults of 10kV line and below according to claim 1, wherein before the power outage fault location of the updated power outage event broad table is performed according to the assignment of the first field is_xj and the second field is_sj, the method further comprises:
acquiring at least one distribution transformer power outage event data in the power outage event wide table, grouping the at least one distribution transformer power outage event data according to the association relation of line numbers and distribution transformer numbers to obtain at least one line group, and counting the number of users in the at least one line group;
judging whether the number of the distribution variables in a certain line group is smaller than all the distribution variable numbers of a certain line connection band and a second threshold
And determining whether the number of the complex numbers in a certain line group is smaller than a first threshold +.>
Wherein, a certain line number is included in the certain line group, and the certain line number is the same as the line number of the certain line;
if the number of the distribution variables in a certain line group is smaller than the second threshold and the number of all distribution variables of a certain line connection
And the number of the distribution transformers in a certain line group is not less than a first threshold +.>
And generating certain branch line outage event data, adding the data into the outage event wide table, and assigning a first field is_xj of all distribution transformer outage event data in a certain line group to be 1, wherein the first field is_xj of the certain branch line outage event data is assigned to be 0, and the second field is_sj is assigned to be 1.
5. The method for layered study and judgment of power failure of 10kV line and below according to claim 4, which is characterized in thatDetermining whether the number of the distribution variables in a certain line group is smaller than all the distribution variables of a certain line connection and a second threshold
And determining whether the number of the complex numbers in a certain line group is smaller than a first threshold +.>
Thereafter, the method further comprises:
if the number of the distribution transformers in a certain line group is not less than the second threshold and the number of all distribution transformers of a certain line connection
Judging whether line power failure event data of a certain line corresponding to a certain line number exists in the power failure event wide table;
if the user power failure event data exists, the second field is_sj of the line power failure event data of a certain line corresponding to a certain line number is assigned to be 1, and the first field is_xj of all the user power failure event data in a certain line group is assigned to be 1;
if the power failure event data does not exist, generating line power failure event data of a certain line corresponding to a certain line number, and assigning a first field is_xj of all distribution transformer power failure event data in a certain line group to be 1, wherein the first field is_xj of the line power failure event data of the certain line is assigned to be 0, and the second field is_sj is assigned to be 1.
6. The method for layered study and judgment of power failure of 10kV line and below according to claim 4, wherein the performing power failure fault location on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj comprises:
screening at least one line outage event data with a value of 1 in the updated outage event wide table, and generating at least one line outage message;
judging the branch power failure by the power distribution transformer, and generating branch power failure information completely;
screening at least one distribution transformer power outage event data with the value of the second field is_sj being 1 and the value of is_xj being 0 from the updated power outage event wide table, and generating a distribution transformer power outage message;
the power failure of the meter box is researched and judged by a user, and all the power failure information of the meter box is generated;
and screening at least one user power outage event data with the value of 0 in the updated power outage event wide table, and generating at least one user power outage message.
7. The utility model provides a 10kV circuit and below power failure layering study judgement system which characterized in that includes:
the association module is configured to associate the acquired line power outage event data, distribution transformer power outage event data and user power outage event data based on line numbers, distribution transformer numbers and user numbers to obtain a power outage event wide table, wherein the line power outage event data, the distribution transformer power outage event data and the user power outage event data all comprise a first field is_xj and a second field is_sj, and initial values of the first field is_xj and the second field is_sj are all 0;
the grouping module is configured to acquire at least one user power outage event data in the power outage event wide table, group the at least one user power outage event data according to the association relation of the distribution transformer number and the user number to obtain at least one distribution transformer group, and count the number of users in the at least one distribution transformer group;
a judging module configured to judge whether the number of users in a certain distribution transformer group is smaller than all the number of users of a certain distribution transformer splicing band and a second threshold
And determining whether the number of users in the at least one distribution group is less than a first threshold
Wherein the certain ligand groupThe method comprises a certain distribution number which is the same as the distribution number of the certain distribution;
an updating module configured to determine if the number of users is smaller than the second threshold and the total number of users of a certain distribution transformer
And is not less than a first threshold +.>
Generating certain table box power failure event data, adding the certain table box power failure event data into the power failure event wide table, and assigning a first field is_xj of all user power failure event data in a certain distribution transformer group to be 1, wherein the first field is_xj of the certain table box power failure event data is assigned to be 0, and the second field is_sj is assigned to be 1;
and the positioning module is configured to perform power failure positioning on the updated power failure event wide table according to the assignment of the first field is_xj and the second field is_sj.
8. 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 one of claims 1 to 6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any one of claims 1 to 6.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110210630A (en) * | 2019-05-16 | 2019-09-06 | 国电南瑞科技股份有限公司 | A kind of power distribution network active emergency repair method based on multiple faults information source and study and judge system |
| CN112001686A (en) * | 2019-10-09 | 2020-11-27 | 国网冀北电力有限公司智能配电网中心 | Overhead line power failure studying and judging system |
| CN112467724A (en) * | 2020-11-12 | 2021-03-09 | 广东电网有限责任公司湛江供电局 | Low-voltage distribution network fault studying and judging method |
| CN113159598A (en) * | 2021-04-29 | 2021-07-23 | 国网河北省电力有限公司电力科学研究院 | Method and device for rush repair and scheduling of transformer area faults and terminal equipment |
| CN113904322A (en) * | 2021-09-09 | 2022-01-07 | 广东电网有限责任公司电力调度控制中心 | Low-voltage distribution network topology generation method based on current and voltage |
| CN115061013A (en) * | 2022-08-17 | 2022-09-16 | 国网江西省电力有限公司电力科学研究院 | Low-voltage common fault studying and judging method and system based on power failure event big data analysis |
-
2023
- 2023-03-22 CN CN202310283398.3A patent/CN116093937A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110210630A (en) * | 2019-05-16 | 2019-09-06 | 国电南瑞科技股份有限公司 | A kind of power distribution network active emergency repair method based on multiple faults information source and study and judge system |
| CN112001686A (en) * | 2019-10-09 | 2020-11-27 | 国网冀北电力有限公司智能配电网中心 | Overhead line power failure studying and judging system |
| CN112467724A (en) * | 2020-11-12 | 2021-03-09 | 广东电网有限责任公司湛江供电局 | Low-voltage distribution network fault studying and judging method |
| CN113159598A (en) * | 2021-04-29 | 2021-07-23 | 国网河北省电力有限公司电力科学研究院 | Method and device for rush repair and scheduling of transformer area faults and terminal equipment |
| CN113904322A (en) * | 2021-09-09 | 2022-01-07 | 广东电网有限责任公司电力调度控制中心 | Low-voltage distribution network topology generation method based on current and voltage |
| CN115061013A (en) * | 2022-08-17 | 2022-09-16 | 国网江西省电力有限公司电力科学研究院 | Low-voltage common fault studying and judging method and system based on power failure event big data analysis |
Non-Patent Citations (4)
| Title |
|---|
| 于海平: "配网抢修指挥中快速研判故障方法分析", 《电工技术》, pages 90 - 91 * |
| 于海平;徐玮;: "配网抢修指挥中快速研判故障方法分析", 电工技术, no. 02, pages 90 - 91 * |
| 夏友斌;俞鹏;苏志朋;: "基于数据中心的配网故障研判方案", 科技经济导刊, no. 07 * |
| 李文芳;陈云龙;梁雅洁;: "配网线路停电信息监控与分析技术研究", 山东电力技术, no. 05 * |
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