CN117575325A - Power distribution network operation risk early warning method, device, equipment and storage medium - Google Patents
Power distribution network operation risk early warning method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a power distribution network operation risk early warning method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring work order data of a target early warning work order, wherein the target early warning work order comprises a transfer work order, a fault log and a protection work order; performing anomaly analysis on each target early-warning work order based on the work order data of the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order; and determining and displaying target early warning information according to the abnormal analysis result of each target early warning work order. The method provided by the embodiment of the invention realizes automatic analysis and early warning of the running risk of the power distribution network, and comprehensively converts the power supply list, the fault log and the protection power supply list to perform abnormal analysis, so that the data of abnormal analysis are more comprehensive, and the timely early warning of the running risk of the power distribution network is realized.
Description
Technical Field
The invention relates to the technical field of operation control of power distribution networks, in particular to a power distribution network operation risk early warning method, device, equipment and storage medium.
Background
With the increasing of the power grid scale, the operation mode arrangement and the scheduling operation are increasingly complicated, a large amount of data can cause visual fatigue of workers under the current situation that the workers are short of the workers, the sensitivity of the power grid data can be reduced to a certain extent, and then the risk variation situation in the operation of the power distribution network is not comprehensively identified.
Disclosure of Invention
The invention provides a power distribution network operation risk early warning method, which aims to solve the technical problem that the power distribution network operation risk is not comprehensively identified and realize timely early warning of the power distribution network operation risk.
According to an aspect of the invention, there is provided a power distribution network operation risk early warning method, including:
acquiring work order data of a target early warning work order, wherein the target early warning work order comprises a transfer work order, a fault log and a protection work order;
performing anomaly analysis on each target early-warning work order based on the work order data of the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order;
and determining and displaying target early warning information according to the abnormal analysis result of each target early warning work order.
Optionally, on the basis of the above scheme, the performing anomaly analysis based on the worksheet data of the target early warning worksheet includes:
And carrying out anomaly analysis based on at least one of the overhaul parameter and the reclosing parameter in the work order data to obtain an anomaly analysis result of the target early warning work order.
Optionally, on the basis of the above scheme, the target early-warning worksheet is a transfer worksheet, and the performing exception analysis based on at least one of an overhaul parameter and a reclosing parameter in the worksheet data to obtain an exception analysis result of the target early-warning worksheet includes:
judging whether the target early warning work order is related to the maintenance order or not based on maintenance parameters in the work order data;
when the target early warning work order is associated with a maintenance order, generating the abnormal analysis result based on the associated maintenance order;
and when the target early warning work order is not associated with the maintenance order, generating the abnormal analysis result based on reclosing parameters in the work order data.
Optionally, on the basis of the above solution, the generating the anomaly analysis result based on the reclosing parameters in the worksheet data includes:
judging whether the target early warning work order relates to reclosing or not based on reclosing parameters in the work order data;
when the target early warning work order relates to reclosing, generating the abnormal analysis result based on whether the target early warning work order belongs to a transfer line;
And when the target early-warning work order does not involve reclosing, judging whether the target early-warning work order involves an unassociated maintenance order or not based on maintenance parameters in the work order data, and generating the abnormal analysis result according to a judgment result.
Optionally, on the basis of the above solution, when the target early warning worksheet involves reclosing, generating the abnormal analysis result based on whether the target early warning worksheet belongs to a transfer line, including:
when the target early warning work order relates to reclosing, and the target early warning work order belongs to a transfer-in line, generating an abnormal analysis result based on the load parameter and the user number of the target early warning work order;
and when the target early warning work order relates to reclosing, and the target early warning work order does not belong to a transfer-in line, generating the abnormal analysis result based on reclosing parameters of the current line.
Optionally, on the basis of the above solution, the determining, based on the overhaul parameter in the work order data, whether the target early warning work order relates to an unassociated overhaul order, and generating the exception analysis result according to the determination result includes:
and when the target early warning work order relates to an unassociated maintenance order and the target early warning work order belongs to a transfer-in line, generating the abnormal analysis result based on the unassociated maintenance order and the transfer-in power supply order.
Optionally, on the basis of the above solution, the target early warning worksheet is a fault log or a power-saving worksheet, and the performing exception analysis based on at least one of an overhaul parameter and a reclosing parameter in the worksheet data to obtain an exception analysis result of the target early warning worksheet includes:
acquiring feeder line detail parameters in the work order data;
and generating the abnormal analysis result according to the overhaul parameter, the reclosing parameter and the power conversion parameter in the feeder line detail parameter.
According to another aspect of the present invention, there is provided an operation risk early warning device for a power distribution network, including:
the system comprises a work order data acquisition module, a target early warning work order data acquisition module and a data processing module, wherein the work order data acquisition module is used for acquiring work order data of the target early warning work order, and the target early warning work order comprises a transfer work order, a fault log and a protection work order;
the anomaly analysis module is used for carrying out anomaly analysis on the basis of the work order data of each target early-warning work order to obtain an anomaly analysis result of the target early-warning work order;
and the early warning information display module is used for determining and displaying the target early warning information according to the abnormal analysis result of each target early warning work order.
According to another aspect of the present invention, there is provided an electronic apparatus including:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the power distribution network operational risk warning method according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the power distribution network operation risk early warning method according to any one of the embodiments of the present invention when executed.
According to the technical scheme, the work order data of the target early warning work order are obtained, wherein the target early warning work order comprises a transfer work order, a fault log and a protection work order; performing anomaly analysis on each target early-warning work order based on the work order data of the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order; and determining and displaying target early warning information according to the abnormal analysis result of each target early warning work order, realizing automatic analysis early warning of the running risk of the power distribution network, comprehensively converting the power supply order, the fault log and the power protection order to perform abnormal analysis, ensuring that the data of the abnormal analysis are more comprehensive, and realizing timely early warning of the running risk of the power distribution network.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
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 apparent that the drawings in the following description are only 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 schematic flow chart of a power distribution network operation risk early warning method according to a first embodiment of the present invention;
fig. 2a is a schematic flow chart of a power distribution network operation risk early warning method according to a second embodiment of the present invention;
fig. 2b is a schematic flow chart of a worksheet data anomaly analysis for transferring a power bill according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power distribution network operation risk early warning device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a schematic flow chart of a power distribution network operation risk early warning method according to a first embodiment of the present invention, where the present embodiment is applicable to a situation when performing daily risk monitoring early warning on a power distribution network, the method may be performed by a power distribution network operation risk early warning device, and the power distribution network operation risk early warning device may be implemented in a hardware and/or software form, for example, the power distribution network operation risk early warning device may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, acquiring work order data of a target early warning work order, wherein the target early warning work order comprises a transfer work order, a fault log and a protection work order.
In the embodiment, through three work orders of the transfer power supply list, the fault log and the protection power supply list, abnormal analysis of work order data is carried out, and three risk early warning situations of the transfer power supply list, the fault log risk early warning and the protection power supply list risk early warning are formed. The power transfer unit is used for transferring power to the power supply unit, the fault log is used for recording faults in the power supply process, and the power supply protection unit is used for protecting the power supply.
Optionally, the work order data of the target early-warning work order can be obtained through a retrieval function, and parameters such as the name, the type and the like of the target early-warning work order are used as retrieval type to retrieve the work order data of the target early-warning work order.
S120, aiming at each target early-warning work order, carrying out anomaly analysis based on the work order data of the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order.
After the work order data of each target early-warning work order are obtained, carrying out the abnormality analysis of each target early-warning work order to obtain a corresponding abnormality analysis result. Specifically, the target early warning work order comprises a power conversion work order, a fault log and a power protection work order, and then the work order data of the power conversion work order are subjected to abnormal analysis respectively to obtain an abnormal analysis result of the power conversion work order, the work order data of the fault log is subjected to abnormal analysis to obtain an abnormal analysis result of the fault log, and the work order data of the power protection work order is subjected to abnormal analysis to obtain an abnormal analysis result of the power protection work order.
Optionally, the data of the work orders of the target early warning work orders can be preprocessed, for example, the data of the work orders are processed in a unified format, parameters for exception analysis and the like in the data of the work orders are extracted, and the preprocessed data of the work orders are subjected to exception analysis. The method has the advantages that the work order data is preprocessed firstly, and then, the abnormal analysis is carried out on the basis of the preprocessed work order data, so that the analysis processing amount of the work order data can be simplified, and the accuracy of the analysis result of the work order data can be improved.
In one embodiment of the present invention, the performing anomaly analysis based on the worksheet data of the target early warning worksheet includes:
and carrying out anomaly analysis based on at least one of the overhaul parameter and the reclosing parameter in the work order data to obtain an anomaly analysis result of the target early warning work order.
It can be understood that reclosing is to directly perform closing operation on the disconnected breaker under the condition of not performing fault judgment after the breaker trips due to the fault of the line, and the reclosing parameters can represent the tripping condition of the line; the overhaul refers to the overhaul condition of the circuit, wherein overhaul parameters can represent the overhaul condition of the circuit according to problems found in the work such as line inspection, inspection and measurement. Based on the method, abnormal conditions in the work order data can be judged according to the overhaul parameters and the reclosing parameters in the work order data. Different target early warning worksheets can adopt different abnormal analysis modes.
Optionally, the work order data may be searched by using the overhaul identifier to obtain overhaul parameters, where the overhaul parameters may be an overhaul line identifier, an overhaul line number, an overhaul order number, and the like. And searching work order data by using the reclosing mark to obtain reclosing parameters, wherein the reclosing parameters can be reclosing line marks, the number of reclosing lines and the like.
In one embodiment of the present invention, the target early warning worksheet is a transfer worksheet, and the performing exception analysis based on at least one of an overhaul parameter and a reclosing parameter in the worksheet data to obtain an exception analysis result of the target early warning worksheet includes:
judging whether the target early warning work order is related to the maintenance order or not based on maintenance parameters in the work order data;
when the target early warning work order is associated with a maintenance order, generating the abnormal analysis result based on the associated maintenance order;
and when the target early warning work order is not associated with the maintenance order, generating the abnormal analysis result based on reclosing parameters in the work order data.
When the target early warning work order is a power transfer order, whether a power transfer line in work order data of the power transfer order is associated with a maintenance order or not can be judged, when the power transfer line is associated with the maintenance order, the existence of the maintenance line in the power transfer order is indicated, and an abnormal analysis result is generated based on the associated maintenance order; when the power transfer line does not have the associated maintenance list, the fact that the power transfer line does not have the associated maintenance line is indicated, the reclosure parameters of the work order data are judged continuously, whether reclosure is related to the power transfer line is judged, and a corresponding abnormal analysis result is generated based on the judgment result.
Optionally, whether the power transfer line is involved in reclosing or not can be judged based on reclosing parameters in the work order data, and when reclosing is not involved, the judgment of the work order is carried out.
On the basis of the above scheme, the generating the abnormal analysis result based on the reclosing parameters in the worksheet data includes:
judging whether the target early warning work order relates to reclosing or not based on reclosing parameters in the work order data;
when the target early warning work order relates to reclosing, generating the abnormal analysis result based on whether the target early warning work order belongs to a transfer line;
and when the target early-warning work order does not involve reclosing, judging whether the target early-warning work order involves an unassociated maintenance order or not based on maintenance parameters in the work order data, and generating the abnormal analysis result according to a judgment result.
When the work order data of the transfer power supply list does not have an associated maintenance list and the transfer power supply line does not involve reclosing, further judging whether the work order data of the transfer power supply list involves the unassociated maintenance list or not, and generating an abnormal analysis result according to a judgment result; when the work order data of the transfer power order does not have the associated maintenance order and the transfer power line relates to reclosing, continuously judging whether the transfer power line related to reclosing belongs to the transfer line or not, and generating a corresponding abnormal analysis result based on whether the transfer power line belongs to the transfer line or not.
Optionally, when the target early warning work order relates to reclosing, generating the abnormal analysis result based on whether the target early warning work order belongs to a transfer line, including:
when the target early warning work order relates to reclosing, and the target early warning work order belongs to a transfer-in line, generating an abnormal analysis result based on the load parameter and the user number of the target early warning work order;
and when the target early warning work order relates to reclosing, and the target early warning work order does not belong to a transfer-in line, generating the abnormal analysis result based on reclosing parameters of the current line.
When the transfer power supply line related to reclosing belongs to the transfer power supply line, the fact that the transfer power supply line is disconnected possibly due to the fact that electricity consumption accords with the transfer power supply line and the quantity of electricity consumption users is excessive is indicated, at the moment, the electricity consumption load and the quantity of users are concerned, and an abnormal analysis result is generated based on the electricity consumption load and the quantity of users; when the transfer power supply line related to reclosing does not belong to the transfer line, judging whether the reclosing of the line is wrong, and generating an abnormal analysis result according to the judging result of whether the reclosing is wrong.
On the basis of the above scheme, the step of judging whether the target early warning worksheet relates to an unassociated worksheet based on the overhaul parameters in the worksheet data, and generating the abnormal analysis result according to the judgment result, includes:
And when the target early warning work order relates to an unassociated maintenance order and the target early warning work order belongs to a transfer-in line, generating the abnormal analysis result based on the unassociated maintenance order and the transfer-in power supply order.
When the transfer power supply list relates to an unassociated maintenance list and belongs to a transfer line, judging whether the unassociated maintenance list and the transfer power supply list conflict or not, and generating an abnormal analysis result based on a conflict analysis result; and when the transfer power supply list relates to the unassociated maintenance list and the transfer power supply list does not belong to the transfer line, ending the judgment. And generating an abnormality analysis result based on the result.
In one embodiment of the present invention, the target early warning worksheet is a fault log or a protection worksheet, and the performing exception analysis based on at least one of an overhaul parameter and a reclosing parameter in the worksheet data to obtain an exception analysis result of the target early warning worksheet includes:
acquiring feeder line detail parameters in the work order data;
and generating the abnormal analysis result according to the overhaul parameter, the reclosing parameter and the power conversion parameter in the feeder line detail parameter.
When the target early warning work order is a fault log or a power protection work order, an abnormal analysis result can be generated by analyzing the feeder line detail in the work order data based on the overhaul parameter, the reclosing parameter and the power conversion parameter in the feeder line detail. Wherein, maintenance parameter can include the quantity that the circuit was overhauld, circuit overhauls single number etc. and reclosure parameter can include the quantity of circuit that involves reclosure, involve reclosure single number etc. and change the power supply parameter and can be for involving changeing the quantity of circuit that supplies power, involve changeing the power supply single number etc..
Optionally, parameter values corresponding to the overhaul parameter, the reclosing parameter and the power conversion parameter can be directly used as an abnormal analysis result of the target early warning work order.
Taking a target early warning work order as a fault log as an example, the exception analysis result can be: XXX time of XXX, faulty feeder XXX ("data line number related to faulty feeder detail") returns to unreturned. Wherein 1, there is an XXX return related to line service ("yes" listed as "whether line service is related"), specific: [ feeder line ] [ involves overhauling the single number ]; ... 2. There is an XXX loop concerning reclosing ("yes" column) ([ whether reclosing is concerned ]) specifically: [ feeder ] [ involves reclosing the single number ]; ... 3. There is an XXX loop involving transfer of power ([ if transfer of power is involved ] listed as "yes"), specific: [ feeder line ] [ involves transferring the power supply list number ]; .......
S130, determining and displaying target early warning information according to the abnormal analysis result of each target early warning work order.
In this embodiment, the abnormal analysis result of each target early warning worksheet may be synthesized and displayed as target early warning information.
Optionally, if the abnormal analysis result indicates that the distribution network line is operating normally, the current or recent power-saving task needs to be paid attention, and the planned work cannot be scheduled recently, namely, the power failure maintenance, the secondary equipment maintenance and the power supply transferring related work orders need to be retracted for a period of change or adjustment.
The abnormal analysis result represents that the distribution network line operates in an abnormal mode, namely, a fault occurs or a line for transferring power exists, if the current or recent planning work is influenced, the planning work (power failure maintenance, secondary equipment maintenance and related work orders for transferring power) needs to be adjusted; if no influence is caused, the lines running in an abnormal mode are required to be displayed to a dispatcher so as to pay attention.
In one embodiment, the quantized data information of the target early warning information may be presented in a visual interface. Prompt information is adopted so that a dispatcher can better grasp more information. For example: and a corresponding notice board is hung on the corresponding equipment on the distribution network single line diagram, so that a dispatcher can intuitively know the current operation mode of the line or the equipment or the subsequent risk points needing to be concerned, and the information sensitivity of the power grid dispatcher is improved.
The target early warning information can be displayed through various visual components, and the components for completing the configuration of the graphic images are realized based on the object-oriented technology, such as visual display of the target early warning information through the components of a table, buttons, curves, a dashboard and the like.
According to the technical scheme, the work order data of the target early warning work order are obtained, wherein the target early warning work order comprises a transfer work order, a fault log and a protection work order; performing anomaly analysis on each target early-warning work order based on the work order data of the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order; and determining and displaying target early warning information according to the abnormal analysis result of each target early warning work order, realizing automatic analysis early warning of the running risk of the power distribution network, comprehensively converting the power supply order, the fault log and the power protection order to perform abnormal analysis, ensuring that the data of the abnormal analysis are more comprehensive, and realizing timely early warning of the running risk of the power distribution network.
Example two
This embodiment provides a preferred embodiment on the basis of the above-described embodiments.
The power distribution network operation risk early warning method provided by the embodiment is mainly realized through a power distribution network operation risk monitoring system. According to the power distribution network operation risk supervision system provided by the embodiment of the invention, according to the current operation mode of the power grid system, data can be stored, analyzed and counted through fault logs, power conversion orders and power protection line details, alarm reminding is carried out when the current operation mode of the system is abnormal or needs to be concerned, meanwhile, the rationality of the system operation mode to be adjusted is deduced, and early warning information is timely sent out to unreasonable places. Specifically, the system comprises a data acquisition module, a data processing module, an abnormality analysis module and an early warning module.
Fig. 2a is a flow chart of a power distribution network operation risk early warning method provided by the second embodiment of the present invention, referring to fig. 2a, a data acquisition module may be used to acquire data first, specifically, data on the functions of fault log acquisition, power conversion, power protection, power failure maintenance and secondary equipment may be used as work order data, and standard arrangement and sorting are performed on the work order data based on a pandas data processing library through a data processing module, and the work order data is exported and stored in an Excel report form. In one embodiment, related technologies such as flow automation and the like can be adopted, and the data processing can be performed by automatically acquiring the work order data of the transfer power bill, the fault log and the protection power bill at a set time. And then carrying out anomaly analysis on the processed work order data of each work order through an anomaly analysis module, and finally sending the extracted anomaly work order information through an elink based on an anomaly analysis result.
Specifically, the analysis processing (extracting the information needed to be pre-warned) of the worksheet data with the abnormality based on 3 scenes may be:
scene 1: based on power supply conversion
And timely rollback or adjustment processing is carried out on the work orders which conflict with the operation mode of the power supply line.
Fig. 2b is a schematic flow chart of a worksheet data anomaly analysis for transferring a power bill according to a second embodiment of the present invention. As shown in fig. 2b, whether the power transmission line is associated with a maintenance list is judged, and if the maintenance list is associated, an abnormal analysis result is generated based on the associated maintenance list; if the reclosure and the unassociated overhaul list are not associated, further judging whether the reclosure and the unassociated overhaul list are related, if the reclosure is related, further judging whether the reclosure belongs to a transfer line, if the reclosure belongs to the transfer line, paying attention to load and the number of users, and if the reclosure does not belong to the transfer line, paying attention to whether the reclosure of the line is wrong; if reclosure is not involved, judging whether an uncorrelated maintenance list is involved, if so, further judging whether the maintenance list belongs to a transfer line, if so, paying attention to whether the maintenance list and the transfer power supply list conflict, and if not, paying attention to the change of safety measure operation; if the unassociated service order is not related, ending the analysis flow.
Scene 2: based on fault log
And timely rollback or adjustment processing is carried out on the work orders which conflict with the current running mode of the fault line.
Scene 3: based on power supply
And timely rollback or adjustment processing is carried out on the work orders which collide with the power-saving line.
Specifically, the display mode of the abnormal work order information may be:
scene 1: based on power supply conversion
XXX time of XXX day, the transfer power feeder has XX (the number of rows of the [ in-execution ] column) back in execution, and XX (the number of rows of the [ to-be-executed ] column) back in to-be-executed. The XX (the number of rows listed as 'yes' or not) returns to the associated maintenance list; there is a number of rows with XX (whether associated service list) listed as "no" and (whether related to line service) listed as "yes") back to unassociated service list and related to line service, where (to roll out line) there is a need to pay attention to the change in operational measures: 1. the method includes the steps that (1) a (in execution) [ feeder of (selecting one of) the (in execution) [ roll-out\roll-in ] is listed as "roll-out"), and a mode is a mode number, 2,.; (for switching into a line) whether the maintenance list and the switching power supply list have conflict is 1, [ in execution ] [ to be executed ] [ to select one of the two ] [ feeder ] ([ switching out\switching in ] is listed as "switching out"), and the mode list is [ mode list number ] [ 2. ]. The number of lines with XX (whether the associated maintenance list is 'no' and whether the associated maintenance list is related to the reclosure is 'yes') returns to the unassociated maintenance list and relates to the reclosure, wherein (as a transfer-out line) attention is paid to whether the unassociated reclosure has error 1, [ in execution ] [ to be executed ] [ to be selected as one ] [ feeder ] ([ transfer-out\transfer-in ] is listed as "transfer-out") ], and the mode is [ mode single number ], [ 2. ]; (for switching into a line) there are 1, [ in execution ] [ to be executed ] (one is selected) [ feeder ] ([ out of switching into ] is listed as "switching into"), and the modes are [ mode number alone ], [ 2 ], and the number of users are required to be concerned.
Scene 2: based on fault log
XXX time of XXX, faulty feeder XXX ("data line number related to faulty feeder detail") returns to unreturned. Wherein 1, there is an XXX return related to line service ("yes" listed as "whether line service is related"), specific: [ feeder line ] [ involves overhauling the single number ]; ... 2. There is an XXX loop concerning reclosing ("yes" column) ([ whether reclosing is concerned ]) specifically: [ feeder ] [ involves reclosing the single number ]; ... 3. There is an XXX loop involving transfer of power ([ if transfer of power is involved ] listed as "yes"), specific: [ feeder line ] [ involves transferring the power supply list number ]; .......
Scene 3: based on power supply
XXX times of XXX days, the guaranteed feeder shares XXX ("data lines relating to guaranteed feeder details") back. Wherein 1, there is an XXX return related to line service ("yes" listed as "whether line service is related"), specific: [ feeder line ] [ involves overhauling the single number ]; ... 2. There is an XXX loop concerning reclosing ("yes" column) ([ whether reclosing is concerned ]) specifically: [ feeder ] [ involves reclosing the single number ]; ... 3. There is an XXX loop involving transfer of power ([ if transfer of power is involved ] listed as "yes"), specific: [ feeder line ] [ involves transferring the power supply list number ]; .......
Optionally, the early warning information can be presented through two modes of interface warning and audible and visual warning, the attention of a dispatcher is timely reminded, the system can automatically evaluate the running risk, and a risk early warning work order is output. After the primary complete power distribution network running risk early warning is executed, a dispatcher can search and check the report according to time, inspection type, task name and the like on the platform, and search, check and export various reports according to requirements.
In this embodiment, three early warning risk worksheets can be automatically and regularly generated daily by using related technologies such as process automation and the like in the manner described above to provide references for a dispatcher. The method is characterized in that the running mode of the power grid is timely focused, when the current mode is changed, the three scheduling work orders of the power supply list, the fault log and the power protection list are detected respectively, and related conflict or power distribution network lines needing focusing are marked and early-warning prompt is carried out. The program can be classified according to the type of the work order and the processing condition of the work order, and is automatically counted and classified, so that a dispatcher can conveniently and clearly grasp the information of the executing process such as the profile, the progress, the result and the like of the dispatching task. And the control of the whole process and the whole flow is realized.
The embodiment of the invention can accurately and cleanly comb related information and effectively early warn through searching complex and multi-relevance type work orders such as scheduled maintenance, power supply conversion, fault logs and the like, can assist a mode to reasonably arrange or adjust an operation mode, helps a value dispatcher to timely and accurately control operation risks, and avoids the situations of 'misdispatch' and 'misoperation' caused by the fact that the operation risks of a distribution network are not recognized in place.
Example III
Fig. 3 is a schematic structural diagram of a power distribution network operation risk early warning device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the worksheet data acquisition module 310 is configured to acquire worksheet data of a target early-warning worksheet, where the target early-warning worksheet includes a transfer worksheet, a fault log, and a protection worksheet;
the anomaly analysis module 320 is configured to perform anomaly analysis on each of the target early-warning worksheets based on worksheets of the target early-warning worksheets, to obtain an anomaly analysis result of the target early-warning worksheets;
and the early warning information display module 330 is configured to determine and display target early warning information according to the abnormal analysis result of each target early warning work order.
According to the technical scheme, the work order data of the target early-warning work order are acquired through the work order data acquisition module 310, wherein the target early-warning work order comprises a transfer work order, a fault log and a protection work order; the anomaly analysis module 320 performs anomaly analysis on the work order data of each target early-warning work order based on the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order; the early warning information display module 330 determines and displays target early warning information according to the abnormal analysis result of each target early warning work order, so that automatic analysis early warning of the running risk of the power distribution network is realized, and the comprehensive power supply order, the fault log and the power protection order are converted to perform abnormal analysis, so that the data of the abnormal analysis are more comprehensive, and timely early warning of the running risk of the power distribution network is realized.
Optionally, based on the above scheme, the anomaly analysis module 320 is specifically configured to:
and carrying out anomaly analysis based on at least one of the overhaul parameter and the reclosing parameter in the work order data to obtain an anomaly analysis result of the target early warning work order.
Optionally, on the basis of the above solution, the target early warning worksheet is a transfer worksheet, and the anomaly analysis module 320 is specifically configured to:
judging whether the target early warning work order is related to the maintenance order or not based on maintenance parameters in the work order data;
when the target early warning work order is associated with a maintenance order, generating the abnormal analysis result based on the associated maintenance order;
and when the target early warning work order is not associated with the maintenance order, generating the abnormal analysis result based on reclosing parameters in the work order data.
Optionally, based on the above scheme, the anomaly analysis module 320 is specifically configured to:
judging whether the target early warning work order relates to reclosing or not based on reclosing parameters in the work order data;
when the target early warning work order relates to reclosing, generating the abnormal analysis result based on whether the target early warning work order belongs to a transfer line;
and when the target early-warning work order does not involve reclosing, judging whether the target early-warning work order involves an unassociated maintenance order or not based on maintenance parameters in the work order data, and generating the abnormal analysis result according to a judgment result.
Optionally, based on the above scheme, the anomaly analysis module 320 is specifically configured to:
when the target early warning work order relates to reclosing, and the target early warning work order belongs to a transfer-in line, generating an abnormal analysis result based on the load parameter and the user number of the target early warning work order;
and when the target early warning work order relates to reclosing, and the target early warning work order does not belong to a transfer-in line, generating the abnormal analysis result based on reclosing parameters of the current line.
Optionally, based on the above scheme, the anomaly analysis module 320 is specifically configured to:
and when the target early warning work order relates to an unassociated maintenance order and the target early warning work order belongs to a transfer-in line, generating the abnormal analysis result based on the unassociated maintenance order and the transfer-in power supply order.
Optionally, on the basis of the above solution, the target early warning worksheet is a fault log or a power protection worksheet, and the anomaly analysis module 320 is specifically configured to:
acquiring feeder line detail parameters in the work order data;
and generating the abnormal analysis result according to the overhaul parameter, the reclosing parameter and the power conversion parameter in the feeder line detail parameter.
The power distribution network operation risk early warning device provided by the embodiment of the invention can execute the power distribution network operation risk early warning method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the distribution network operational risk warning method.
In some embodiments, the power distribution network operational risk warning method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the power distribution network operational risk warning method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power distribution network operational risk warning method in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides a distribution network operation risk early warning method which is characterized in that the method comprises the following steps:
acquiring work order data of a target early warning work order, wherein the target early warning work order comprises a transfer work order, a fault log and a protection work order;
performing anomaly analysis on each target early-warning work order based on the work order data of the target early-warning work order to obtain an anomaly analysis result of the target early-warning work order;
and determining and displaying target early warning information according to the abnormal analysis result of each target early warning work order.
2. The method according to claim 1, wherein the anomaly analysis is performed based on the work order data of the target pre-warning work order, comprising:
and carrying out anomaly analysis based on at least one of the overhaul parameter and the reclosing parameter in the work order data to obtain an anomaly analysis result of the target early warning work order.
3. The method of claim 2, wherein the target early warning worksheet is a transfer worksheet, the performing exception analysis based on at least one of an overhaul parameter and a reclosing parameter in the worksheet data to obtain an exception analysis result of the target early warning worksheet, and the method comprises:
judging whether the target early warning work order is related to the maintenance order or not based on maintenance parameters in the work order data;
when the target early warning work order is associated with a maintenance order, generating the abnormal analysis result based on the associated maintenance order;
and when the target early warning work order is not associated with the maintenance order, generating the abnormal analysis result based on reclosing parameters in the work order data.
4. The method of claim 3, wherein the generating the anomaly analysis result based on reclosing parameters in the worksheet data comprises:
Judging whether the target early warning work order relates to reclosing or not based on reclosing parameters in the work order data;
when the target early warning work order relates to reclosing, generating the abnormal analysis result based on whether the target early warning work order belongs to a transfer line;
and when the target early-warning work order does not involve reclosing, judging whether the target early-warning work order involves an unassociated maintenance order or not based on maintenance parameters in the work order data, and generating the abnormal analysis result according to a judgment result.
5. The method of claim 4, wherein generating the anomaly analysis result based on whether the target pre-warning worksheet belongs to a transfer-in line when the target pre-warning worksheet involves reclosing comprises:
when the target early warning work order relates to reclosing, and the target early warning work order belongs to a transfer-in line, generating an abnormal analysis result based on the load parameter and the user number of the target early warning work order;
and when the target early warning work order relates to reclosing, and the target early warning work order does not belong to a transfer-in line, generating the abnormal analysis result based on reclosing parameters of the current line.
6. The method of claim 4, wherein the determining whether the target pre-warning worksheet is related to an unassociated worksheet based on the overhaul parameters in the worksheet data, and generating the anomaly analysis result according to the determination result, comprises:
And when the target early warning work order relates to an unassociated maintenance order and the target early warning work order belongs to a transfer-in line, generating the abnormal analysis result based on the unassociated maintenance order and the transfer-in power supply order.
7. The method of claim 2, wherein the target early warning worksheet is a fault log or a protection worksheet, the performing exception analysis based on at least one of an overhaul parameter and a reclosing parameter in the worksheet data to obtain an exception analysis result of the target early warning worksheet comprises:
acquiring feeder line detail parameters in the work order data;
and generating the abnormal analysis result according to the overhaul parameter, the reclosing parameter and the power conversion parameter in the feeder line detail parameter.
8. An operation risk early warning device of distribution network, characterized by comprising:
the system comprises a work order data acquisition module, a target early warning work order data acquisition module and a data processing module, wherein the work order data acquisition module is used for acquiring work order data of the target early warning work order, and the target early warning work order comprises a transfer work order, a fault log and a protection work order;
the anomaly analysis module is used for carrying out anomaly analysis on the basis of the work order data of each target early-warning work order to obtain an anomaly analysis result of the target early-warning work order;
And the early warning information display module is used for determining and displaying the target early warning information according to the abnormal analysis result of each target early warning work order.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power distribution network operational risk warning method of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the power distribution network operation risk early warning method according to any one of claims 1 to 7 when executed.
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