CN115511361A - Power distribution network power failure risk assessment method and system, storage medium and computer - Google Patents

Power distribution network power failure risk assessment method and system, storage medium and computer Download PDF

Info

Publication number
CN115511361A
CN115511361A CN202211278009.XA CN202211278009A CN115511361A CN 115511361 A CN115511361 A CN 115511361A CN 202211278009 A CN202211278009 A CN 202211278009A CN 115511361 A CN115511361 A CN 115511361A
Authority
CN
China
Prior art keywords
distribution network
power distribution
frequency
failure
power
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211278009.XA
Other languages
Chinese (zh)
Inventor
吴任博
刘淑琴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong University
Original Assignee
Shandong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong University filed Critical Shandong University
Priority to CN202211278009.XA priority Critical patent/CN115511361A/en
Publication of CN115511361A publication Critical patent/CN115511361A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a power distribution network risk assessment method, and provides a power distribution network power failure risk assessment method.

Description

Power distribution network power failure risk assessment method and system, storage medium and computer
Technical Field
The invention relates to the technical field of power grid early warning, in particular to a power distribution network power failure risk assessment method, a power distribution network power failure risk assessment system, a storage medium and a computer.
Background
The safe and reliable operation of the power distribution network is directly related to the normal production of various industries and the daily life of people, the reliability of the power distribution network is evaluated and predicted, and the method has very important significance for improving the reliability of the power distribution network, improving the electric energy quality, improving the operation economy of the power distribution network, optimizing the operation arrangement of the power distribution network and the like.
With the development of power systems, the stability of power distribution networks is higher and higher, but the dependence of people on power is higher and higher, so that the loss caused by each emergency power failure is larger and larger. In order to avoid the risk of large-area power failure caused by the fault of the power distribution network, accurate risk assessment needs to be carried out on the power distribution network in operation, on one hand, corresponding measures are convenient to take, loss caused by power failure is reduced, on the other hand, the equipment area with large risk is detected, and the accuracy degree of fault detection can also be improved.
However, the power failure risk assessment of the existing power distribution network is not accurate enough, the actual operation condition of the power distribution network is difficult to reflect, the workload of power distribution network equipment maintenance can be greatly improved, and huge loss can be caused due to power failure.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a power distribution network power failure risk assessment method, a power distribution network power failure risk assessment system, a storage medium and a computer, so as to solve the problem that the existing power distribution network power failure risk assessment result is not accurate enough.
The technical purpose of the invention is realized by the following technical scheme: the method comprises the following steps: acquiring historical data of power supply of a power distribution network; correspondingly acquiring power distribution network outage information according to the historical data; the power distribution network outage information comprises: fault outage reasons, fault outage time and fault outage ranges of the power distribution network; correspondingly dividing standard risk levels according to the fault outage time and the fault outage range, and correspondingly matching all fault outage reasons with the standard risk levels one by one; and under the condition that the failure shutdown reason occurs again, early warning is carried out according to the standard risk grade corresponding to the failure shutdown reason, and a corresponding power distribution network maintenance department is informed to take corresponding risk response measures.
Optionally, the fault outage cause includes: distribution network foreign matter trouble: the power distribution network runs in a natural environment, and faults caused by the influence of natural factors include tripping caused by foreign matters falling on a power distribution network line; the artificial damage fault of the power distribution network: the distribution network receives the trouble that people's production and living activity's influence caused, includes: the underground buried power distribution network line is damaged by excavation operation, the power distribution network line is mistakenly touched by overhead operation or a cable is stolen; equipment aging failure: faults caused by poor quality, equipment aging or poor installation of power distribution network lines or power equipment comprise: cable insulation breakdown, switch lock burnout of a distribution ring main unit and isolation of contact defects of a disconnecting link; natural disaster failure: the power distribution network in the natural environment has faults caused by the influence of extreme climates such as strong wind, rainstorm, snowstorm and hail; and (3) power utilization failure of a user: faults due to the user himself include: the quality of the electric appliance is poor, and the electricity utilization habit of the electricity utilization behavior is not standardized, so that the reliability of the equipment is reduced.
Optionally, the correspondingly classifying the standard risk levels according to the fault outage time and the fault outage range includes: according to the severity of the loss load probability, the severity of insufficient electric quantity and the loss degree of the important load, correspondingly dividing the power failure risk into five grades: severe, normal, mild, and minimal.
Optionally, the performing early warning according to the standard risk level corresponding to the failure outage reason and notifying a corresponding power distribution network maintenance department to perform corresponding risk response measures includes: if the standard risk level is very slight, the power distribution network maintenance department carries out maintenance according to the first frequency; if the standard risk level is slight, the power distribution network maintenance department carries out maintenance according to a second frequency; if the standard risk level is general, the power distribution network maintenance department carries out maintenance according to a third frequency; if the standard risk level is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency; if the standard risk level is serious, immediately cutting off the power, and timely overhauling to eliminate potential safety hazards; the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, and the fourth frequency is 1/7 days.
Optionally, the method further includes acquiring a power supply area where the number of times of faults in the power distribution network exceeds a threshold value, recording the power supply area as a vulnerable area, and correspondingly dividing the vulnerable area into five grades according to the number of times of power supply faults corresponding to the vulnerable area: severe, normal, mild, and minimal.
Optionally, according to the grade corresponding to the vulnerable area, correspondingly adjusting the frequency of overhauling the vulnerable area by the power distribution network maintenance department; if the grade of the vulnerable area is extremely light, the power distribution network maintenance department carries out maintenance according to a first frequency; if the grade of the vulnerable area is slight, the power distribution network maintenance department carries out maintenance according to a second frequency; if the grade of the vulnerable area is general, the power distribution network maintenance department carries out maintenance according to a third frequency; if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency; if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to a fifth frequency; the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, the fourth frequency is 1/7 days, and the fifth frequency is 1/3 days.
A power distribution network power failure risk assessment system comprises,
a data acquisition module: the method comprises the steps of obtaining historical data of power supply of a power distribution network;
the information acquisition module: the power distribution network outage information acquisition module is used for correspondingly acquiring outage information of the power distribution network according to the historical data;
a risk level evaluation module: dividing standard risk grades correspondingly according to the fault outage time and the fault outage range;
a matching module: the system is used for matching all fault outage reasons with standard risk levels in a one-to-one correspondence manner;
the early warning module: and the early warning is carried out according to the standard risk level corresponding to the failure outage reason under the condition that the failure outage reason occurs again.
Optionally, the method includes:
vulnerable area division module: the power supply area is used for acquiring the power supply area with the failure frequency exceeding a threshold value in the power distribution network, recording the power supply area as a vulnerable area, and correspondingly setting the vulnerable area according to the power supply failure frequency corresponding to the vulnerable area;
service life statistics module: the system can remind relevant maintainers to replace the electric equipment in time according to the service life of the electric equipment and the preset design service life.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
In conclusion, the invention has the following beneficial effects: the invention provides a power failure risk assessment method for a power distribution network, which can predict a certain power failure initiating factor occurring in an actual power supply area of the power distribution network by counting and analyzing historical data and mutually matching the reason and the risk grade of the power failure risk, and can effectively reduce the loss caused by the power failure of the power distribution network by correspondingly taking corresponding emergency maintenance measures according to the prediction result.
Drawings
FIG. 1 is a flowchart illustrating a power distribution network outage risk assessment method according to the present invention;
FIG. 2 is a diagram illustrating a power distribution network outage risk assessment system according to the present invention;
fig. 3 is an internal structural diagram of a computer device in an embodiment of the present invention.
In the figure: 1. a data acquisition module; 2. an information acquisition module; 3. a risk level evaluation module; 4. a matching module; 5. an early warning module; 6. a vulnerable area dividing module; 7. and a service life counting module.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures are described in detail below. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art. The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature. The terms "vertical," "horizontal," "left," "right," "up," "down," and the like are used for descriptive purposes only and are not intended to indicate or imply that the referenced devices or elements must be in a particular orientation, configuration, and operation, and therefore should not be construed as limiting the present invention.
The invention is described in detail below with reference to the figures and examples.
The invention provides a power failure risk assessment method for a power distribution network, which comprises the following steps of: acquiring historical data of power supply of a power distribution network; correspondingly acquiring power distribution network outage information according to the historical data; the power distribution network outage information comprises: fault outage reasons, fault outage time and fault outage ranges of the power distribution network; correspondingly dividing standard risk levels according to the fault outage time and the fault outage range, and correspondingly matching all fault outage reasons with the standard risk levels one by one; and under the condition that the failure shutdown reason occurs again, early warning is carried out according to the standard risk grade corresponding to the failure shutdown reason, and a corresponding power distribution network maintenance department is informed to take corresponding risk response measures.
Specifically, in the actual use process, in order to improve the accuracy of power failure risk evaluation of the power distribution network, the power distribution network is evaluated according to the operation historical data of the power distribution network, and fault information corresponding to the power distribution network is collected, wherein the fault information mainly comprises fault reasons, fault outage time and a fault outage range, a fault grade is correspondingly determined according to the fault outage time and the corresponding fault outage range, the longer the fault outage time is, the larger the fault outage range is, the higher the corresponding fault grade is, and in the application, the weight of the fault outage time and the fault outage range to the fault grade is 1:1, respectively setting a threshold value for the fault outage time and the fault outage range, weighting and averaging the actual fault outage time and the ratio of the fault outage range to the threshold value, correspondingly calculating the comprehensive percentage of two fault outage factors, and correspondingly dividing the comprehensive percentage into fault grades. The classified fault outage standards and the corresponding fault outage reasons are matched in a one-to-one correspondence manner, and the corresponding risk grade with the maximum probability is screened out for a certain specific fault outage reason and is used as the fault outage risk grade corresponding to the fault outage reason, so that when the subsequent fault outage reason occurs again, an alarm can be correspondingly sent to people according to the risk grade corresponding to the fault outage reason, and normal use of the power distribution network is guaranteed.
Further, the fault outage cause includes: distribution network foreign matter trouble: the power distribution network runs in a natural environment, and faults caused by the influence of natural factors include tripping caused by foreign matters falling on a power distribution network line; the power distribution network is damaged artificially and fails: the distribution network receives the trouble that people's production and living activity's influence caused, includes: the underground buried power distribution network line is damaged by excavation operation, the power distribution network line is mistakenly touched by overhead operation or a cable is stolen; equipment aging failure: faults caused by poor quality, equipment aging or poor installation of power distribution network lines or power equipment comprise: cable insulation breakdown, switch lock burnout of the distribution ring main unit, and isolation of contact defects of the disconnecting link; natural disaster failure: the power distribution network in the natural environment has faults caused by the influence of extreme climates such as strong wind, rainstorm, snowstorm and hail; and (3) power utilization failure of a user: faults due to the user himself include: the quality of the electrical appliance is poor, and the electricity utilization habit of the electricity utilization behavior is not standardized, so that the reliability of the equipment is reduced.
In the practical use process, the fault factors of the power distribution network are influenced by natural factors frequently, if foreign matters fall on the electric wires of the power distribution network to cause short circuit, the faults caused by the natural factors are usually slight and convenient to overhaul, so that the corresponding fault level is relatively low, the artificial damage faults are usually serious, but the fault location is clear, the main time spent is the time required for rush repair, and the fault cannot be affected too much. For the aging fault of the equipment, the caused influence is usually large, the process of rush repair is complicated, the damaged equipment is difficult to replace in time, once the equipment is not matched, the equipment is required to be produced, and the caused influence is usually long. As for the power utilization failure of the user, usually, only a single user of the user can be affected, the influence range is small, and the maintenance is convenient and quick, so that the caused risk level is also low, and the natural disaster failure with a large influence range and a long failure time needs to be evaluated as a serious risk level.
Further, the correspondingly classifying the standard risk levels according to the fault outage time and the fault outage range includes: according to the severity of the loss load probability, the severity of insufficient electric quantity and the loss degree of the important load, correspondingly dividing the power failure risk into five grades: severe, normal, mild, and minimal.
Further, the performing early warning according to the standard risk level corresponding to the failure outage reason and notifying a corresponding power distribution network maintenance department to perform corresponding risk response measures includes: if the standard risk level is very slight, the power distribution network maintenance department carries out maintenance according to the first frequency; if the standard risk level is slight, the power distribution network maintenance department executes maintenance according to a second frequency; if the standard risk level is general, the power distribution network maintenance department carries out maintenance according to a third frequency; if the standard risk level is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency; if the standard risk level is serious, immediately cutting off the power, and timely overhauling to eliminate potential safety hazards; the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, and the fourth frequency is 1/7 days.
By dividing the outage fault grades and then correspondingly allocating power grid maintenance personnel to regularly overhaul the region corresponding to the fault reason, the fault occurrence probability of the power distribution network can be effectively reduced. The influence on a power supply area caused by long-time power failure is avoided.
Further, the method comprises the steps of obtaining a power supply area with the failure frequency exceeding a threshold value in the power distribution network, recording the power supply area as a vulnerable area, and correspondingly dividing the vulnerable area into five grades according to the power supply failure frequency corresponding to the vulnerable area: severe, normal, mild, and minimal.
Further, correspondingly adjusting the overhauling frequency of the vulnerable area by the power distribution network maintenance department according to the grade corresponding to the vulnerable area; if the grade of the vulnerable area is extremely light, the power distribution network maintenance department carries out maintenance according to a first frequency; if the grade of the vulnerable area is slight, the power distribution network maintenance department carries out maintenance according to a second frequency; if the grade of the vulnerable area is general, the power distribution network maintenance department carries out maintenance according to a third frequency; if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency; if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to a fifth frequency; the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, the fourth frequency is 1/7 days, and the fifth frequency is 1/3 days.
Through the recording and grading of the vulnerable area and the frequency division polling of the vulnerable area according to the graded grade, the power supply stability of the distribution network of the vulnerable area can be effectively improved, and the power failure risk of the vulnerable area is reduced.
As shown in fig. 2, the present invention further provides a power distribution network outage risk assessment system, including,
the data acquisition module 1: the method comprises the steps of obtaining historical data of power supply of a power distribution network;
the information acquisition module 2: the power distribution network outage information acquisition module is used for correspondingly acquiring outage information of the power distribution network according to the historical data;
risk level assessment module 3: dividing standard risk grades correspondingly according to the fault outage time and the fault outage range;
the matching module 4: the system is used for matching all fault outage reasons with standard risk levels in a one-to-one correspondence manner;
the early warning module 5: and the early warning is carried out according to the standard risk level corresponding to the failure outage reason under the condition that the failure outage reason occurs again.
Further, a distribution network power failure risk assessment system still includes:
vulnerable area division module 6: the power supply area is used for acquiring the power supply area with the failure frequency exceeding a threshold value in the power distribution network, recording the power supply area as a vulnerable area, and correspondingly setting the vulnerable area according to the power supply failure frequency corresponding to the vulnerable area;
service life statistics module 7: the system can remind relevant maintainers to replace the electric equipment in time according to the service life of the electric equipment and the preset design service life.
For specific limitations of the power distribution network outage risk assessment system, reference may be made to the above limitations of the power distribution network outage risk assessment method, and details are not described herein again. All modules in the power distribution network power failure risk assessment system can be completely or partially realized through software, hardware and a combination of the software and the hardware. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The computer program is executed by a processor to realize the power distribution network power failure risk assessment method.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: the method comprises the following steps: acquiring historical data of power supply of a power distribution network; correspondingly acquiring power distribution network outage information according to the historical data; the power distribution network outage information comprises: fault outage reasons, fault outage time and fault outage ranges of the power distribution network; correspondingly dividing standard risk grades according to the fault outage time and the fault outage range, and correspondingly matching all fault outage reasons with the standard risk grades one by one; and under the condition that the failure shutdown reason occurs again, early warning is carried out according to the standard risk grade corresponding to the failure shutdown reason, and a corresponding power distribution network maintenance department is informed to take corresponding risk response measures.
In one embodiment, the fault outage cause includes: distribution network foreign matter trouble: the power distribution network runs in a natural environment, and faults caused by the influence of natural factors include tripping caused by foreign matters falling on a power distribution network line; the artificial damage fault of the power distribution network: the distribution network receives the trouble that people's production and living activity's influence caused, includes: the underground buried power distribution network line is damaged by excavation operation, the power distribution network line is mistakenly touched by overhead operation or a cable is stolen; equipment aging failure: faults caused by poor quality, equipment aging or poor installation of power distribution network lines or power equipment comprise: cable insulation breakdown, switch lock burnout of the distribution ring main unit, and isolation of contact defects of the disconnecting link; natural disaster failure: the power distribution network in the natural environment has faults caused by the influence of extreme climates such as strong wind, rainstorm, snowstorm and hail; and (3) power utilization failure of a user: faults due to the user's own cause include: the quality of the electrical appliance is poor, and the electricity utilization habit of the electricity utilization behavior is not standardized, so that the reliability of the equipment is reduced.
In one embodiment, said correspondingly classifying the standard risk level according to the fault outage time and the fault outage range includes: according to the severity of the loss load probability, the severity of insufficient electric quantity and the loss degree of the important load, correspondingly dividing the power failure risk into five grades: severe, normal, mild, and minimal.
In one embodiment, the performing early warning according to the standard risk level corresponding to the failure outage reason and notifying the corresponding power distribution network maintenance department of performing corresponding risk response measures includes: if the standard risk level is very slight, the power distribution network maintenance department carries out maintenance according to the first frequency; if the standard risk level is slight, the power distribution network maintenance department executes maintenance according to a second frequency; if the standard risk level is general, the power distribution network maintenance department carries out maintenance according to a third frequency; if the standard risk level is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency; if the standard risk level is serious, immediately cutting off the power, and timely overhauling to eliminate potential safety hazards; the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, and the fourth frequency is 1/7 days.
In one embodiment, the method further includes the steps of obtaining a power supply area with the failure frequency exceeding a threshold value in the power distribution network, recording the power supply area as a vulnerable area, and correspondingly dividing the vulnerable area into five grades according to the power supply failure frequency corresponding to the vulnerable area: severe, normal, mild, and minimal.
In one embodiment, the maintenance frequency of the vulnerable area by the power distribution network maintenance department is correspondingly adjusted according to the grade corresponding to the vulnerable area; if the grade of the vulnerable area is extremely light, the power distribution network maintenance department carries out maintenance according to a first frequency; if the grade of the vulnerable area is slight, the power distribution network maintenance department carries out maintenance according to a second frequency; if the grade of the vulnerable area is general, the power distribution network maintenance department carries out maintenance according to a third frequency; if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency; if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to a fifth frequency; the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, the fourth frequency is 1/7 days, and the fifth frequency is 1/3 days.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention should also be considered as within the scope of the present invention.

Claims (10)

1. A power distribution network power failure risk assessment method is characterized by comprising the following steps:
acquiring historical data of power supply of a power distribution network;
correspondingly acquiring power distribution network outage information according to the historical data; the power distribution network outage information comprises: fault outage reasons, fault outage time and fault outage ranges of the power distribution network;
correspondingly dividing standard risk grades according to the fault outage time and the fault outage range, and correspondingly matching all fault outage reasons with the standard risk grades one by one;
and under the condition that the failure shutdown reason occurs again, early warning is carried out according to the standard risk grade corresponding to the failure shutdown reason, and a corresponding power distribution network maintenance department is informed to take corresponding risk response measures.
2. The method for assessing the power failure risk of the power distribution network according to claim 1, wherein the failure outage cause comprises:
distribution network foreign matter trouble: the power distribution network runs in a natural environment, and faults caused by the influence of natural factors include tripping caused by foreign matters falling on a power distribution network line;
the artificial damage fault of the power distribution network: the distribution network receives the trouble that people's production life activity influence resulted in, includes: the underground buried power distribution network line is damaged by excavation operation, the power distribution network line is mistakenly touched by overhead operation or a cable is stolen;
equipment aging failure: faults caused by poor quality, equipment aging or poor installation of power distribution network lines or power equipment comprise: cable insulation breakdown, switch lock burnout of the distribution ring main unit, and isolation of contact defects of the disconnecting link;
natural disaster failure: the power distribution network in the natural environment has faults caused by the influence of extreme climates such as strong wind, rainstorm, snowstorm and hail;
and (3) power utilization failure of a user: faults due to the user himself include: the quality of the electrical appliance is poor, and the electricity utilization habit of the electricity utilization behavior is not standardized, so that the reliability of the equipment is reduced.
3. The method for assessing the power failure risk of the power distribution network according to claim 1, wherein the step of correspondingly classifying the standard risk levels according to the failure outage time and the failure outage range comprises the steps of:
according to the severity of the loss load probability, the severity of insufficient electric quantity and the loss degree of the important load, correspondingly dividing the power failure risk into five grades: severe, normal, mild, and minimal.
4. The power distribution network power failure risk assessment method according to claim 1, wherein the pre-warning is performed according to the standard risk level corresponding to the failure outage reason, and the corresponding power distribution network maintenance department is notified to take corresponding risk countermeasures, and the method comprises the following steps:
if the standard risk level is very slight, the power distribution network maintenance department carries out maintenance according to the first frequency;
if the standard risk level is slight, the power distribution network maintenance department executes maintenance according to a second frequency;
if the standard risk level is general, the power distribution network maintenance department carries out maintenance according to a third frequency;
if the standard risk level is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency;
if the standard risk level is serious, immediately cutting off the power, and timely overhauling to eliminate potential safety hazards;
the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, and the fourth frequency is 1/7 days.
5. The power failure risk assessment method for the power distribution network according to claim 1, further comprising the steps of obtaining a power supply area with the number of failures in the power distribution network exceeding a threshold, recording the power supply area as a vulnerable area, and correspondingly dividing the vulnerable area into five grades according to the number of power supply failures corresponding to the vulnerable area: severe, normal, mild, and minimal.
6. The power failure risk assessment method for the power distribution network according to claim 1, wherein the frequency of maintenance of the vulnerable area by the power distribution network maintenance department is adjusted correspondingly according to the grade corresponding to the vulnerable area;
if the grade of the vulnerable area is extremely light, the power distribution network maintenance department carries out maintenance according to a first frequency;
if the grade of the vulnerable area is slight, the power distribution network maintenance department carries out maintenance according to a second frequency;
if the grade of the vulnerable area is general, the power distribution network maintenance department carries out maintenance according to a third frequency;
if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to the fourth frequency;
if the grade of the vulnerable area is serious, the power distribution network maintenance department carries out maintenance according to a fifth frequency;
the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, the fourth frequency is 1/7 days, and the fifth frequency is 1/3 days.
7. A power distribution network power failure risk assessment system is characterized by comprising,
a data acquisition module: the method comprises the steps of obtaining historical data of power supply of a power distribution network;
the information acquisition module: the power distribution network shutdown information acquisition module is used for correspondingly acquiring shutdown information of the power distribution network according to the historical data;
a risk level evaluation module: dividing standard risk grades correspondingly according to the fault outage time and the fault outage range;
a matching module: the system is used for matching all fault outage reasons with standard risk levels in a one-to-one correspondence manner;
the early warning module: and the early warning is carried out according to the standard risk level corresponding to the failure outage reason under the condition that the failure outage reason occurs again.
8. The power distribution network outage risk assessment system according to claim 7, comprising:
vulnerable area division module: the power supply area is used for acquiring the power supply area with the failure frequency exceeding a threshold value in the power distribution network, recording the power supply area as a vulnerable area, and correspondingly setting the vulnerable area according to the power supply failure frequency corresponding to the vulnerable area;
service life statistics module: the system can remind relevant maintainers to replace the electric equipment in time according to the service life of the electric equipment and the preset design service life.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202211278009.XA 2022-10-19 2022-10-19 Power distribution network power failure risk assessment method and system, storage medium and computer Pending CN115511361A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211278009.XA CN115511361A (en) 2022-10-19 2022-10-19 Power distribution network power failure risk assessment method and system, storage medium and computer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211278009.XA CN115511361A (en) 2022-10-19 2022-10-19 Power distribution network power failure risk assessment method and system, storage medium and computer

Publications (1)

Publication Number Publication Date
CN115511361A true CN115511361A (en) 2022-12-23

Family

ID=84509583

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211278009.XA Pending CN115511361A (en) 2022-10-19 2022-10-19 Power distribution network power failure risk assessment method and system, storage medium and computer

Country Status (1)

Country Link
CN (1) CN115511361A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117250496A (en) * 2023-11-17 2023-12-19 国网浙江省电力有限公司双创中心 Spring energy storage detection method and system of GIS circuit breaker

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005011327A (en) * 2003-05-29 2005-01-13 Tokyo Electric Power Co Inc:The Repair plan making support device and method
CN102663537A (en) * 2012-03-13 2012-09-12 凯里供电局 Maintenance system of power equipment based on risk assessment
CN105488740A (en) * 2015-12-17 2016-04-13 深圳供电局有限公司 Risk level evaluation method and system for urban power distribution network operation mode
CN109190958A (en) * 2018-08-23 2019-01-11 合肥好多帮信息科技有限公司 A kind of troublshooting Intelligentized regulating and controlling system
CN113420992A (en) * 2021-06-25 2021-09-21 国网山东省电力公司汶上县供电公司 Power system network risk assessment method and system
CN113673725A (en) * 2021-09-06 2021-11-19 广东电网有限责任公司电力科学研究院 Power distribution network equipment differentiated maintenance strategy making method and system
CN113869791A (en) * 2021-10-20 2021-12-31 深圳供电局有限公司 Power grid operation and maintenance repair method based on log model
CN114611730A (en) * 2022-03-18 2022-06-10 广东电网有限责任公司 Differential operation and maintenance method, device, medium and terminal equipment for power transmission line

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005011327A (en) * 2003-05-29 2005-01-13 Tokyo Electric Power Co Inc:The Repair plan making support device and method
CN102663537A (en) * 2012-03-13 2012-09-12 凯里供电局 Maintenance system of power equipment based on risk assessment
CN105488740A (en) * 2015-12-17 2016-04-13 深圳供电局有限公司 Risk level evaluation method and system for urban power distribution network operation mode
CN109190958A (en) * 2018-08-23 2019-01-11 合肥好多帮信息科技有限公司 A kind of troublshooting Intelligentized regulating and controlling system
CN113420992A (en) * 2021-06-25 2021-09-21 国网山东省电力公司汶上县供电公司 Power system network risk assessment method and system
CN113673725A (en) * 2021-09-06 2021-11-19 广东电网有限责任公司电力科学研究院 Power distribution network equipment differentiated maintenance strategy making method and system
CN113869791A (en) * 2021-10-20 2021-12-31 深圳供电局有限公司 Power grid operation and maintenance repair method based on log model
CN114611730A (en) * 2022-03-18 2022-06-10 广东电网有限责任公司 Differential operation and maintenance method, device, medium and terminal equipment for power transmission line

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
徐特威;鲁宗相;乔颖;邹俭;何维国;郭睿;: "基于典型故障与环境场景关联识别的城市配电网运行风险预警方法", 电网技术, no. 08 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117250496A (en) * 2023-11-17 2023-12-19 国网浙江省电力有限公司双创中心 Spring energy storage detection method and system of GIS circuit breaker

Similar Documents

Publication Publication Date Title
CA2927545C (en) Integrated transformer health monitoring architecture
CN107092222B (en) Based on the integrated power grid regulation operational administrative system of anti-error check analysis
CN110212645A (en) A kind of power information acquisition terminal power-off event report method and device
CN113156058A (en) Nuclear power station transformer light gas alarm response method, device, equipment and medium
CN102663522B (en) On-line risk evaluation method of power grid
CN108537433A (en) Area power grid method for prewarning risk based on multidimensional evaluation index
KR102475374B1 (en) Apparatus and method for active failure predictive diagnosis of solar power generation system in string units using idle time
CN115511361A (en) Power distribution network power failure risk assessment method and system, storage medium and computer
CN113988565A (en) Building construction quality safety online risk management method and system
CN113253181A (en) Intelligent information data acquisition and analysis system based on big data
CN116756966A (en) Power grid fault early warning method, system, terminal equipment and storage medium
CN117196251A (en) Monitoring method, system, equipment and medium for park power distribution facility
CN117590148A (en) Power grid line fault diagnosis method and system based on big data
CN112444697A (en) Power line information monitoring system and method
CN105514843B (en) A kind of 750kV substation secondary device repair methods based on Monitoring Data
CN117686829A (en) Current collecting line fault early warning system and method
CN114186876B (en) Intelligent electricity safety supervision and electric energy management method and system
CN115936206A (en) Intelligent judgment method and device for power equipment over-service state
CN114333274A (en) Frequent power failure early warning analysis method and early warning analysis system
Splichalova et al. Predictive Indication of Performance Failure in Electricity Critical Infrastructure Elements
CN110796833B (en) Method for reporting power supply abnormal event
CN114002759A (en) Early warning system and method for meteorological risk excess of power transmission line
CN118585775B (en) Grounding grid corrosion state evaluation method and device based on digital twinning
CN112737120A (en) Generation method and device of regional power grid control report and computer equipment
CN117060849B (en) Box-type substation equipment detection method for photovoltaic and related equipment thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination