CN113779902A - Method, device and equipment for determining reliability of circuit and storage medium - Google Patents
Method, device and equipment for determining reliability of circuit and storage medium Download PDFInfo
- Publication number
- CN113779902A CN113779902A CN202111056123.3A CN202111056123A CN113779902A CN 113779902 A CN113779902 A CN 113779902A CN 202111056123 A CN202111056123 A CN 202111056123A CN 113779902 A CN113779902 A CN 113779902A
- Authority
- CN
- China
- Prior art keywords
- line
- fault
- determining
- evaluated
- probability event
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000005192 partition Methods 0.000 claims description 77
- 238000011156 evaluation Methods 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 description 17
- 238000011058 failure modes and effects analysis Methods 0.000 description 15
- 238000011144 upstream manufacturing Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 6
- 238000002955 isolation Methods 0.000 description 4
- 238000007670 refining Methods 0.000 description 4
- 238000010801 machine learning Methods 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/08—Probabilistic or stochastic CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Fluid Mechanics (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Primary Health Care (AREA)
- Algebra (AREA)
- Computing Systems (AREA)
- Public Health (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for determining the reliability of a line. The method comprises the following steps: determining the automation level of the switch according to the switching mode in the line to be evaluated; determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; determining the number of households in the power failure according to the power failure duration of each load point, the number of users of each load point and the failure probability of each element; and determining the reliability of the line to be evaluated according to the number of the users in the power failure and the number of the users at each load point. By the technical scheme provided by the embodiment of the invention, the reliability of the line configured with multiple automation modes can be evaluated, so that the power supply capacity of the power system can be better balanced.
Description
Technical Field
The embodiment of the invention relates to the technical field of circuits, in particular to a method, a device, equipment and a storage medium for determining the reliability of a circuit.
Background
The power supply reliability is an important index for measuring the power supply capacity of the power system, and the automation of the power distribution network is an important technical means for improving the power supply reliability. In the actual operation of the present power distribution network, there is a case that different switches in the same return line (or referred to as the same line) are configured with different automation modes at the same time.
The most common method for evaluating the reliability of the power distribution network at present is a failure mode and effects analysis (FMEA for short). The method includes the steps of enumerating all possible fault modes in a power grid, analyzing and calculating the consequences of the fault modes, and listing the corresponding faults and the consequences in a fault mode influence table, so that a required reliability index is obtained.
However, in the evaluation of the reliability of the power distribution network by the traditional FMEA method, the reliability of the line can only be calculated under two conditions of whether the line is configured with automation or not, and the practicability is not high.
Disclosure of Invention
Embodiments of the present invention provide a method, an apparatus, a device, and a storage medium for determining reliability of a line, which can perform reliability evaluation on a line configured with multiple automation modes, so as to better balance power supply capability of an electric power system.
In a first aspect, an embodiment of the present invention provides a method for determining reliability of a line, where the method includes:
determining the automation level of the switch according to the switching mode in the line to be evaluated;
determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event;
determining the number of households in the power failure according to the power failure duration of each load point, the number of users of each load point and the failure probability of each element;
and determining the reliability of the line to be evaluated according to the number of the users in the power failure and the number of the users at each load point.
In a second aspect, an embodiment of the present invention further provides a device for determining reliability of a line, where the device includes:
the grade determining module is used for determining the automation grade of the switch according to the switching mode in the line to be evaluated;
the power failure duration determining module is used for determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event;
the power failure number determining module is used for determining the number of the power failure users according to the power failure duration of each load point, the number of users of each load point and the failure probability of each element;
and the reliability determining module is used for determining the reliability of the line to be evaluated according to the number of the users in the power failure and the number of the users at each load point.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of line reliability determination as provided in any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. Wherein the program when executed by a processor implements a method of line reliability determination as provided by any of the embodiments of the invention.
According to the method, the device, the equipment and the storage medium for determining the reliability of the line, after the switch automation level is determined through the switch mode in the line to be evaluated, the power failure time length of each load point in the line to be evaluated under each element fault probability event is determined according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; and further analyzing the power failure duration of each load point, the number of users of each load point, the failure probability of each element and the like, and determining the reliability of the line to be evaluated. Compared with a scheme for evaluating the reliability of the power distribution network by the traditional FMEA method, the scheme finishes the reliability evaluation of the circuit configured with multiple automatic modes by refining the automation level of the switch and the power failure duration of each load point, and can better balance the power supply capacity of the power system.
Drawings
Fig. 1 is a flowchart of a method for determining reliability of a line according to an embodiment of the present invention;
fig. 2A is a flowchart of a method for determining reliability of a line according to a second embodiment of the present invention;
fig. 2B is a schematic diagram of a line to be evaluated according to an embodiment of the present invention;
FIG. 2C is a schematic diagram of another line under evaluation according to an embodiment of the present invention;
fig. 3 is a block diagram of a circuit reliability determining apparatus according to a third embodiment of the present invention;
fig. 4 is a block diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for determining line reliability according to an embodiment of the present invention, which is applicable to how to determine line reliability in a power system, and is particularly applicable to how to determine line reliability in a scenario where a plurality of switch automation modes are configured in a line. The method may be performed by a line reliability determining apparatus, which may be implemented in software and/or hardware, and may be integrated in an electronic device having a line reliability determining function. As shown in fig. 1, the method for determining line reliability provided by this embodiment specifically includes:
s101, determining the automation level of the switch according to the switching mode in the line to be evaluated.
In this embodiment, the switch mode is a working mode of the switch, and may include a normal mode in which no automation is configured, an automation mode in which three shakes are configured, a logic automation mode in which a voltage and current mode is configured, and a mode in which an intelligent distributed function is configured, where three shakes refer to shaking, and remote control. Optionally, in this embodiment, the mode of each switch in the line to be evaluated may be obtained from the configuration information of the line to be evaluated. The configuration information is used to describe each element, function, and the like of the line to be evaluated.
The line to be evaluated can be any one-circuit line of the power distribution network, which is configured with different switching modes. For example, the mode of a part of switches in the line to be evaluated is a normal mode, the mode of a part of switches is a voltage-current logic automation mode, and the like.
Optionally, in this embodiment, different switch modes may be determined as different switch automation levels.
Furthermore, when a line fails, the failure processing time of the line is different due to different switch modes, so that the power failure time of non-failure elements on the line is different. The fault handling time may be the time required to isolate the faulty component from the non-faulty component after the fault has occurred, by some means, and to allow the non-faulty component to operate properly. For example, for a switch in a normal mode, a person needs to manually operate the switch to a fault site to isolate a fault and recover power from the load, so that the fault processing time is generally long, for example, about 0.75 hour; for the switch configured with the triple-rocker automatic mode, the automatic system assists the manual remote control switch to isolate faults and load power restoration, so that the fault processing time is shorter than that of the switch in the common mode, for example, about 0.5 hour; for the switches configured with the voltage and current type and other logic automation functions and the switches configured with the intelligent distribution function, fault isolation and load restoration are automatically completed by an automation system, so that the fault processing time is short, such as several minutes or 0 minute.
Further, the present embodiment may rank the switches according to the switching pattern in combination with the failure processing time. Specifically, a switch in a common mode can be used as a primary automatic switch; taking a switch configured with a triple-shaking automation mode as a secondary automation switch; taking a switch with voltage and current type logic automation functions as a three-level automation switch; and taking the switch with the intelligent distributed function as a four-level automatic switch. The automation degree of the first-level automatic switch, the second-level automatic switch, the third-level automatic switch and the fourth-level automatic switch is increased gradually. Further, the three-level automatic switch is a special case of the four-level automatic switch, and the four-level automatic switch can also be used as the three-level automatic switch in this embodiment.
S102, determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event.
It should be noted that, in order to reduce the circulating current and reduce the loss, the distribution network usually adopts an open-loop operation mode, which is equivalent to a power supply mode in which the line is operated in a radiation mode, so that when any element on the line fails, the power supply of the load is affected, and further, the failure of each element on the line is regarded as an expected accident. The power supply method of the radiation operation is a power supply wiring method which spreads to the periphery with a bus power supply of one substation as a center. Optionally, in this embodiment, the failure probability event of each component is an expected failure condition of each component.
Optionally, for each element fault probability event, determining the power failure duration of each load point in the line to be evaluated under the element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position associated with the element fault probability event; and further, the power failure duration of each load point in the line to be evaluated under each element fault probability event, namely the power failure duration of all load points when each element in the line to be evaluated has a fault, can be obtained, and therefore the FMEA table can be obtained.
For each element fault probability event, the method for determining the power failure duration of each load point in the line to be evaluated under the element fault probability event may be that an image of a circuit structure of the line to be evaluated, the automation level of each switch in the line to be evaluated, and the position of a fault element associated with the element fault probability event are input into a pre-trained power failure duration determination model, and the model may output the power failure duration of each load point in the line to be evaluated under the element fault probability event.
Further, in an implementation manner, according to the circuit structure of the line to be evaluated, the automation level of the switch, and the position of the fault element in each element fault probability event, determining the power outage duration of each load point in the line to be evaluated in each element fault probability event may be: determining a fault area and other areas of the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; wherein the other zones comprise at least one of a non-failed zone, at least one level of pre-failure zone, and at least one level of post-failure zone; and determining the power failure time length of each load point in the line to be evaluated under each element fault probability event according to the fault area and other areas of the line to be evaluated under each element fault probability event.
Optionally, the outage duration may be determined according to an outage area where the load point is located, and the outage area may be divided into a failure area (a type area), a failure front area (C type area), a failure rear area (B type area), and a non-failure area (D type area). As an optional manner of the embodiment of the present application, the determining of the faulty area, the faulty front area, the faulty rear area, and the non-faulty area may be that the faulty area is determined by a location of the faulty component, an area located upstream of the faulty area may be the faulty front area, an area located downstream of the faulty area may be the faulty rear area, and an area that is not affected by the faulty component and can normally operate may be referred to as the non-faulty area. Further, when there is a pre-fault zone and/or a post-fault zone, the level of that zone may be determined based on the level of switch automation in the pre-fault zone and/or the post-fault zone. For example, according to the level of switch automation in the post-fault zone, the class B zone may be further subdivided into a B11 zone, a B12 zone, and a B13 zone, where the sub-zone in the class B zone including the primary automation switch is taken as a B11 zone (i.e., the primary post-fault zone), the sub-zone in the class B zone including the secondary automation switch is taken as a B12 zone (i.e., the secondary post-fault zone), and the sub-zone in the class B zone including the tertiary automation switch is taken as a B13 zone (i.e., the tertiary post-fault zone); similarly, the class C region may be further refined into the C11 region (i.e., primary preflight), the C12 region (i.e., secondary preflight), and the C13 region (i.e., tertiary preflight), depending on the automation level of the switch in the preflight.
Furthermore, for each element fault probability event, according to the fault element position associated with the element fault probability event and in combination with the circuit structure of the line to be evaluated, the fault area of the line to be evaluated under the element fault probability event can be determined, and a non-fault area, a fault front area, a fault rear area and the like can also be determined; furthermore, the pre-fault area and the post-fault area can be further refined into a plurality of levels by combining with the switch automation level. Then, according to the fault area and other areas of the line to be evaluated under the element fault probability event, determining the power failure duration of the fault area and other areas, taking the power failure duration of the fault area as the power failure duration of the load point located in the fault area, and taking the power failure duration of other areas as the power failure duration of the load point located in other areas.
Further, the power failure time of the type A area is the fault repair time R, and the power failure time of the type D area is 0; the power failure time of a B11 type area is manual field switching and load transferring time Z1, the power failure time of a B12 type area is second-level automatic load transferring time Z2, and the power failure time of a B13 type area is third-level automatic load transferring time Z3; the power failure time of the C11 type area is manual field isolation fault time G1, the power failure time of the C12 type area is second-level automatic isolation fault time G2, and the power failure time of the C13 type area is third-level automatic isolation fault time G3.
It should be noted that, in this embodiment, the location of the faulty element in the line is used to further refine the areas to which the other areas except the faulty area belong, and a refined power outage duration can be obtained according to the refined power outage area, so that the calculated line reliability in multiple automation modes has a practical value.
S103, determining the number of the users in the power failure according to the power failure time length of each load point, the number of the users of each load point and the failure probability of each element.
In this embodiment, the failure probability of each type of element may be the same and already determined before the factory shipment. The number of users in power failure is also called the equivalent hours of system power failure time, and in particular, the equivalent hours of all users in power failure due to the influence of the system on the user power failure time in the statistical time can be recorded as SIEH. The number of users in power failure can be obtained by inputting relevant parameters into a preprocessed model through machine learning, and finally outputting the value of the number of users in power failure. Further, the number of users in the power outage can also be obtained by means of statistical analysis, and specifically, the following calculation formula can be utilized:
wherein m is the number of elements in the line to be evaluated, and n is the number of load points; r isijThe power consumption duration of the load point j is shown under the condition that the ith element in the line to be evaluated has a fault; wjRepresenting the number of users of the load point j; lambda [ alpha ]iRepresenting the probability of failure of the ith element in the line under evaluation.
And S104, determining the reliability of the line to be evaluated according to the number of the users in power failure and the number of the users at each load point.
The reliability may be power supply reliability, and the power supply reliability may be calculated by inputting relevant parameters into a reliability determination model trained in advance through machine learning and finally outputting the power supply reliability. For example, the number of users in power outage and the number of users at each load point may be input into the reliability determination model to obtain the reliability of the line to be evaluated.
Further, the reliability of the line to be evaluated can also be obtained in other ways. According to the number of users in power outage and the number of users at each load point, determining the reliability of the line to be evaluated may be: determining the average power failure time of the users according to the number of the users in power failure and the number of the users at each load point; and determining the reliability of the line to be evaluated according to the average power failure time of the user. In this embodiment, the average user power outage time is the average number of power outage hours of the power supply user within the statistical time.
Specifically, the number of users at each load point may be added to obtain the total number of users; dividing the number of users in power failure by the total number of the users to obtain the average power failure time of the users; and then the reliability of the line to be evaluated can be determined according to the average power failure time of the user. The reliability of the line to be evaluated can be obtained, for example, using the following calculation formula.
RS＝(1-tAIHC/8760)*100％
Wherein R isSRepresenting the reliability of the line being evaluated, the constant 8760 refers to the total hours of the year, which can be calculated from 365 x 24. t is tAIHCIndicating the average user outage time.
It should be noted that, by giving a calculation mode of the reliability of the line to be evaluated, the reliability capability of the power supply system is quantized, and a numerical value of the line reliability is intuitively given in a digital form, so that the reliability evaluation of the line configured with multiple automation modes is realized.
According to the technical scheme provided by the embodiment of the invention, after the switch automation level is determined through the switch mode in the line to be evaluated, the power failure duration of each load point in the line to be evaluated under each element fault probability event is determined according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; and further analyzing the power failure duration of each load point, the number of users of each load point, the failure probability of each element and the like, and determining the reliability of the line to be evaluated. Compared with a scheme for evaluating the reliability of the power distribution network by the traditional FMEA method, the scheme finishes the reliability evaluation of the circuit configured with multiple automatic modes by refining the automation level of the switch and the power failure duration of each load point, and can better balance the power supply capacity of the power system.
Example two
Fig. 2A is a flowchart of a method for determining reliability of a line according to a second embodiment of the present invention. Based on the above embodiments, the present embodiment further explains in detail how to determine the power outage duration of each load point in the line to be evaluated under each component failure probability event. As shown in fig. 2A, the method for determining line reliability provided by this embodiment specifically includes:
s201, determining the automation level of the switch according to the switching mode in the line to be evaluated.
S202, dividing the line to be evaluated according to the circuit structure of the line to be evaluated to obtain at least two line partitions.
Optionally, the distribution of the switches on the trunk line of the line to be evaluated is determined according to the circuit structure of the line to be evaluated, and the line to be evaluated is further divided based on the distribution of the switches on the trunk line. For example, the area between adjacent switches on the trunk line may be divided into a line partition, and each line partition may be assigned a unique identifier, such as a natural number; furthermore, the identification of each line partition is sequentially increased in a natural number sequence, wherein the increasing direction is the same as the numbering sequence of the switches on the main line.
Fig. 2B is a schematic diagram of a line to be evaluated according to an embodiment of the present invention. For example, the line to be evaluated shown in fig. 2B may be divided into a first section F1, a second section F2, a third section F3, a fourth section F4, a fifth section F5, and a sixth section F6.
S203, for each element fault probability event, according to the switch automation level and the fault element position related to the element fault probability event, determining a fault area and other areas of the line to be evaluated under the element fault probability event from at least two line subareas.
Optionally, for each component failure probability event, the location of the failed component associated with the component failure probability event on the line to be evaluated is different, and the manner of determining the failure region and other regions of the line to be evaluated under the component failure probability event from at least two line partitions is different.
In the first case, if the faulty component associated with the component fault probability event is located on the main line, the faulty area can be determined from at least two line partitions according to the location of the faulty component; and determining at least one level of pre-fault area and/or at least one level of post-fault area from the remaining zones according to the relative position relationship between the remaining zones and the fault area in the at least two line zones and the switch automation levels of the remaining zones.
Specifically, according to the position of the faulty component, the line partition to which the faulty component belongs, or two adjacent line partitions to the faulty component, is used as the faulty area. For example, as shown in fig. 2B, if the line L4 on the trunk line has a fault, the line L4 belongs to the line partition F4, so that F4 is regarded as a fault area (i.e., a class a area); if switch K3 on the main line fails, line partitions F3 and F4 are adjacent to switch K3, and line partitions F3 and F4 are used as failure zones.
Further, the region upstream of the fault zone is referred to as a pre-fault zone (i.e., a class C region) according to the location of the fault zone, and the pre-fault zone is further refined according to the level of switch automation in the pre-fault zone, i.e., into at least one of a C11 region (i.e., a primary pre-fault zone), a C12 region (i.e., a secondary pre-fault zone), and a C13 region (i.e., a tertiary pre-fault zone). Specifically, the automatic switch with the shortest fault processing time and the closest upstream to the fault area is found, and if the switch belongs to the three-level automatic switch, all upstream partitions of the switch belong to the C13 area; if the secondary automatic switch exists between the C13 area and the fault area, all partitions between the secondary automatic switch and the C13 area belong to the C12 area, and the rest partitions between the C12 area and the fault area belong to the C11 area. For example, as shown in fig. 2B, if the line L4 on the trunk line has a fault, F4 is a fault area, and K1 is found upstream as a three-level automatic switch, so that F1 belongs to the C13 area; k2 is a two-level automatic switch, so F2 belongs to the C12 region.
Further, according to the location of the fault area, the area downstream of the fault area is called a post-fault area (i.e., a type B area), and according to the switch automation level in the post-fault area, the post-fault area is further refined, i.e., the post-fault area is further refined into at least one of a B11 area (i.e., a primary post-fault area), a B12 area (i.e., a secondary post-fault area), and a B13 area (i.e., a tertiary post-fault area). Specifically, the automatic switch with the shortest fault processing time and the closest downstream to the fault area is found, and if the switch belongs to the three-level automatic switch, all downstream partitions of the switch belong to the area B13; if a secondary automatic switch exists between the B13 area and the fault area, the partition between the secondary automatic switch and the B13 area belongs to the B12 area, and all the other partitions between the B12 area and the fault area belong to the B11 area. For example, as shown in fig. 2B, if the line L4 on the main trunk line has a fault, F4 is a fault area, and the switch K5 found downstream is a three-level automatic switch, so that F6 belongs to the B13 area; the switch K4 is a two-stage automatic switch, so F5 belongs to the B12 region.
In the second case, if the faulty component associated with the component fault probability event is located on the branch line and the head end of the branch line where the faulty component is located is configured with the protection component, the line partition to which the faulty component belongs may be determined according to the location of the faulty component, and the line partition is used as the target partition; taking the rest subareas except the target subarea in the at least two line subareas and other branch lines except the branch line where the fault element is located in the target subarea as non-fault areas; and determining a fault area and a grade fault front area from the branch line of the fault element according to the relative position relation between the rest elements in the branch line of the fault element and the switch automation grade of the head end of the branch line of the fault element. The protection element can be a device having a protection function on the line, such as a circuit breaker; further, the arrangement of the protection element at the leading end of the branch line means that the protection element is arranged at the starting position of the branch line.
Specifically, if the faulty element is located on the branch line and a protection element is arranged at the head end of the branch line where the faulty element is located, the line partition to which the faulty element belongs may be used as the target partition according to the location of the faulty element. For example, with continued reference to fig. 2B, when a L4F22 element on a branch line fails, the F4 partition is targeted because the line partition in which the L4F22 element is located is the F4 partition.
Further, since the head end of the branch line where the faulty component is located is configured with the protection component, and therefore the faulty component does not affect the line other than the branch line where the faulty component is located, the remaining partition of the at least two line partitions other than the destination partition, and the other branch line of the destination partition other than the branch line where the faulty component is located, may be set as the non-faulty area (i.e., the class D area). For example, with continued reference to fig. 2B, when L4F22 elements on a branch line fail, line partitions F1, F2, F3, F5, and F6 may be considered non-failing zones, while L4 and L4F1 branch lines also belong to non-failing zones.
Further, since the faulty component has a certain influence on the components on its adjacent lines, all the components located downstream of the faulty component in the remaining components of the branch line where the faulty component is located, and the area from the faulty component to the first switch upstream can be used as the fault area according to the severity of the influence. For example, with continued reference to fig. 2B, when the L4F22 element on the branch line fails, the zone in which the failed element downstream ZB3 is located belongs to the failure zone, and the zone between the failed element L4F22 to the first upstream switch KF2 also belongs to the failure zone.
Further, according to the severity of the influence, the region from the first switch located at the upstream of the fault element to the switch at the head end of the branch line where the fault element is located in the rest elements of the branch line where the fault element is located can be used as a fault front region, namely a type C region; and determining the level of the front zone of the fault according to the automation level of the switch at the head end of the branch line where the fault element is positioned. For example, referring to fig. 2B, when a L4F22 element on a branch line fails, the branch line head switch KF1 where the failed element is located belongs to the primary automation switch, and thus the area between the first switch KF2 upstream of the failed element to the branch line head switch KF1 where the failed element is located belongs to the C11 area, i.e., the primary prefect area.
In the third situation, if the fault element associated with the element fault probability event is located on the branch line and no protection element is configured at the head end of the branch line where the fault element is located, determining the line partition to which the fault element belongs as a target partition according to the position of the fault element; determining a fault area and a grade fault front area from the branch line of the fault element according to the relative position relation between the rest elements in the branch line of the fault element and the switch automation grade of the head end of the branch line of the fault element; and determining another grade pre-fault area according to the relative position relation between the rest subareas except the target subarea and the target subarea in the at least two line subareas and the switch automation grade of the rest subareas. Optionally, the first level pre-failure area and the second level pre-failure area may be the same or different.
Specifically, if the faulty component is located on the branch line and no protection component is configured at the head end of the branch line where the faulty component is located, the line partition to which the faulty component belongs may be used as the target partition according to the location of the faulty component. For example, with continued reference to fig. 2B, when the L6F12 element fails, the F6 partition is targeted because the line partition in which the L6F12 element is located is the F6 partition.
Optionally, since no protection element is configured at the head end of the branch line where the fault element is located, the fault element may have different degrees of influence on the elements on the whole line. Further, according to the severity of the influence, the region where all the elements located at the downstream of the fault element in the rest of the elements of the branch line where the fault element is located can be used as a fault region; meanwhile, the area from the fault element to the first switch upstream of the branch line where the fault element is located is also used as a fault area. Referring to fig. 2B, when the L6F12 element fails, the ZB6 element belongs to the failure zone, and the region between the failed element and the first switch upstream of the branch line where the failed element is located, i.e., L6F12, KF4 also belong to the failure zone.
Further, according to the severity of the influence, the region from the first switch at the upstream of the branch line where the fault element is located to the switch at the head end of the branch line where the fault element is located can be used as a fault front region, namely a type C region; and determining the level of the front zone of the fault according to the automation level of the switch at the head end of the branch line where the fault element is positioned. For example, referring to fig. 2B, when the L6F12 element fails, the elements ZB5, L6F1, KF3 in the branch line where the failed element is located also belong to the C11 area because there is no automation switch in the branch line. Optionally, other branch lines than the branch line where the faulty element in the target partition is located may also be used as the pre-fault area; meanwhile, the grade of the front zone of the fault can be determined according to the automation grade of the switches in other branch lines. For example, if the L6F12 element fails, L6 and L6F2 also belong to the C11 region because there is no automatic switch in the branch line L6F 2.
Then, according to the position of the fault area, the area downstream of the fault area is called a post-fault area (namely, a type B area), and according to the switch automation level in the post-fault area, the post-fault area is further refined; and/or, based on the location of the fault zone, the region upstream of the fault zone is referred to as the pre-fault zone (i.e., the class C region), and the pre-fault zone is further refined based on the level of switch automation in the pre-fault zone. A refinement of the pre-fault and post-fault regions herein can be found in the first case described above. Further, if the other partitions are located upstream or downstream of the target area, the switch automation level of the other partitions may be the partition level with the highest switch automation level in all the other partitions, or may be the switch automation level in the partition closest to the target partition. Referring to fig. 2B, when the L6F12 element fails, the target partition is F6, and since the highest level of switch automation among the remaining partitions is three levels, F1, F2, F3, F4, and F5 belong to the C13 region; or since the automation switch level closest to F6 among the remaining partitions is three levels, F1, F2, F3, F4, and F5 belong to the C13 region.
It should be noted that in this embodiment, the conditions of the faulty component at different positions are fully considered, different partition modes are correspondingly adopted, and the power failure time determined according to the region to which each component belongs is further refined, so that a refined FMEA table is obtained, the practicability and accuracy of the reliability evaluation method are improved, and the reliability evaluation method is more suitable for actual situations.
For example, the present embodiment can determine the power outage duration of each load point in the line to be evaluated under each element failure condition in fig. 2B, so as to obtain an FMEA table, as shown in table 1 below:
TABLE 1 FMEA table
And S204, determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the fault area and other areas of the line to be evaluated under each element fault probability event.
And S205, determining the number of the users in the power failure according to the power failure time length of each load point, the number of the users of each load point and the failure probability of each element.
And S206, determining the reliability of the line to be evaluated according to the number of the users in power failure and the number of the users at each load point.
According to the technical scheme provided by the embodiment of the invention, the line to be evaluated is partitioned according to the circuit structure, the partitions (such as the fault area, the fault front area, the fault rear area and the like) are further refined according to the automation level of each partition switch and the position of the fault element under each element fault probability event, so that the power failure duration of each load point in the line to be evaluated under each element fault probability event, namely a refined FMEA table, can be obtained, and finally the reliability of the line to be evaluated is determined according to the power failure duration of each load point, the number of users of each load point and the fault probability of each element. Compared with a scheme for evaluating the reliability of the power distribution network by the traditional FMEA method, the scheme finishes the reliability evaluation of the circuit configured with multiple automatic modes by refining the automation level of the switch and the power failure duration of each load point, and can better balance the power supply capacity of the power system.
On the basis of any of the above embodiments, the present embodiment further provides a line to be evaluated, so as to further illustrate the practicability of the line reliability determination method provided by the present application. Referring to fig. 2C, the system power distribution network line is composed of load points, lines, circuit breakers, load switches, fuses and the like. Relevant parameters of switches, elements and the like in the line are determined at the time of factory shipment, and are shown in table 2:
TABLE 2 parameter List
According to the difference of automatic configuration and automatic selection points, the reliability is calculated and analyzed according to the following conditions: firstly, all switches of a circuit are not configured automatically; secondly, three remote functions are configured on incoming switches of all ring network nodes of a main line, a voltage and current type logic function is configured on outgoing switches, and a conventional protection function is configured on switches at the head ends of branch lines; the second and fourth node incoming and outgoing line switches of the trunk of the line are configured with intelligent distributed logic functions, and the head end switches of the branch lines are configured with conventional protection functions; and fourthly, all the node incoming and outgoing line switches of the trunk of the line are configured with an intelligent distributed logic function, and the head end switch of the branch line is configured with a conventional protection function. And comparing the reliability calculation results obtained by adopting the traditional FMEA method and the technical scheme provided by the embodiment of the invention through different conditions in step 4. The results of the computational comparison are shown in table 3:
TABLE 3 calculation of comparison results
As can be seen from table 3, the reliability results obtained by the technical solution of the embodiment of the present invention are the same as the calculation results obtained by the conventional FMEA method when the line is not configured for automation and under the same automation mode. However, under the condition that the line is configured with different automation modes and the number of distribution points, the reliability of the line cannot be calculated by the traditional FMEA method, and the technical scheme provided by the embodiment of the invention can accurately calculate the reliability of the line and is more suitable for reliability evaluation of the power distribution network in actual operation.
EXAMPLE III
Fig. 3 is a block diagram of a circuit reliability determining apparatus according to a third embodiment of the present invention, where the circuit reliability determining apparatus according to the third embodiment of the present invention is capable of executing a method for determining circuit reliability according to any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.
The line reliability determination means may include a grade determination module 310, a power outage duration determination module 320, a power outage subscriber number determination module 330, and a reliability determination module 340.
The level determining module 310 is configured to determine a switch automation level according to a switch mode in a line to be evaluated;
the power failure duration determining module 320 is configured to determine the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level, and the fault element position under each element fault probability event;
the power outage household number determining module 330 is configured to determine the number of power outage households according to the power outage duration of each load point, the number of users of each load point, and the failure probability of each element;
and the reliability determining module 340 is configured to determine the reliability of the line to be evaluated according to the number of users in the power outage and the number of users at each load point.
According to the technical scheme provided by the embodiment of the invention, after the switch automation level is determined through the switch mode in the line to be evaluated, the power failure duration of each load point in the line to be evaluated under each element fault probability event is determined according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; and further analyzing the power failure duration of each load point, the number of users of each load point, the failure probability of each element and the like, and determining the reliability of the line to be evaluated. Compared with a scheme for evaluating the reliability of the power distribution network by the traditional FMEA method, the scheme finishes the reliability evaluation of the circuit configured with multiple automatic modes by refining the automation level of the switch and the power failure duration of each load point, and can better balance the power supply capacity of the power system.
Further, the power outage duration determination module 320 may include:
the subarea determining unit is used for determining a fault area and other areas of the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; wherein the other zones comprise at least one of a non-failed zone, at least one level of pre-failure zone, and at least one level of post-failure zone;
and the power failure duration determining unit is used for determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the fault area and other areas of the line to be evaluated under each element fault probability event.
Further, the partition determining unit may include:
the line to be evaluated is divided according to the circuit structure of the line to be evaluated to obtain at least two line partitions;
and the partition determining subunit is used for determining a fault area and other areas of the line to be evaluated under the element fault probability event from at least two line partitions according to the switch automation level and the fault element position associated with the element fault probability event for each element fault probability event.
Optionally, the partition determining subunit includes a first partition determining slave unit, and the first partition determining slave unit may specifically be configured to:
if the fault element associated with the element fault probability event is located on the main line, determining a fault area from at least two line partitions according to the position of the fault element;
at least one level of pre-fault area and/or at least one level of post-fault area are determined from the remaining zones based on the relative positional relationship between the remaining zones and the fault area of the at least two line zones and the remaining differentiated switch automation levels.
Optionally, the partition determining subunit further includes a second partition determining slave unit, where the second partition determining slave unit may specifically be configured to:
if the fault element associated with the element fault probability event is located on the branch line and the head end of the branch line where the fault element is located is provided with the protection element, determining the line partition to which the fault element belongs as a target partition according to the position of the fault element;
taking the rest subareas except the target subarea in the at least two line subareas and other branch lines except the branch line where the fault element is located in the target subarea as non-fault areas;
and determining a fault area and a grade fault front area from the branch line of the fault element according to the relative position relation between the rest elements in the branch line of the fault element and the switch automation grade of the head end of the branch line of the fault element.
Optionally, the partition determining subunit further includes a third partition determining slave unit, where the third partition determining slave unit may specifically be configured to:
if the fault element associated with the element fault probability event is positioned on the branch line and the head end of the branch line where the fault element is positioned is provided with the unprotected element, determining the line partition to which the fault element belongs as a target partition according to the position of the fault element;
determining a fault area and a grade fault front area from the branch line of the fault element according to the relative position relation between the rest elements in the branch line of the fault element and the switch automation grade of the head end of the branch line of the fault element;
and determining another grade pre-fault area according to the relative position relation between the rest subareas except the target subarea and the target subarea in the at least two line subareas and the switch automation grade of the rest subareas.
Optionally, the reliability determining module 340 is specifically configured to:
determining the average power failure time of the users according to the number of the users in power failure and the number of the users at each load point;
and determining the reliability of the line to be evaluated according to the average power failure time of the user.
Example four
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention, and fig. 4 shows a block diagram of an exemplary device suitable for implementing the embodiment of the present invention. The device shown in fig. 4 is only an example and should not bring any limitation to the function and the scope of use of the embodiments of the present invention.
As shown in FIG. 4, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory (cache 32). The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of embodiments described herein.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the line reliability determination method provided by the embodiment of the present invention.
EXAMPLE five
Fifth, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program (or referred to as computer-executable instructions) is stored, where the computer program is used to execute the method for determining line reliability provided by the embodiment of the present invention when the computer program is executed by a processor.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having 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. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "package and package" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for determining reliability of a line, comprising:
determining the automation level of the switch according to the switching mode in the line to be evaluated;
determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event;
determining the number of households in the power failure according to the power failure duration of each load point, the number of users of each load point and the failure probability of each element;
and determining the reliability of the line to be evaluated according to the number of the users in the power failure and the number of the users at each load point.
2. The method of claim 1, wherein determining the power outage duration for each load point in the line under evaluation at each component failure probability event based on the circuit configuration of the line under evaluation, the level of switch automation, and the location of the failed component at each component failure probability event comprises:
determining a fault area and other areas of the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event; wherein the other zones comprise at least one of a non-failure zone, at least one level of pre-failure zone, and at least one level of post-failure zone;
and determining the power failure time length of each load point in the line to be evaluated under each element fault probability event according to the fault area and other areas of the line to be evaluated under each element fault probability event.
3. The method of claim 2, wherein determining the fault region and other regions of the line under evaluation at each component failure probability event based on the circuit configuration of the line under evaluation, the level of switch automation, and the location of the failed component at each component failure probability event comprises:
dividing the line to be evaluated according to the circuit structure of the line to be evaluated to obtain at least two line partitions;
and for each element fault probability event, determining a fault area and other areas of the line to be evaluated under the element fault probability event from the at least two line subareas according to the switch automation level and the fault element position associated with the element fault probability event.
4. The method of claim 3, wherein determining the fault region and other regions of the line under evaluation for the component failure probability event from the at least two line segments based on the switch automation level and the failed component location associated with the component failure probability event comprises:
if the fault element associated with the element fault probability event is located on the main line, determining a fault area from the at least two line partitions according to the position of the fault element;
and determining at least one grade of pre-fault area and/or at least one grade of post-fault area from the rest zones according to the relative position relationship between the rest zones and the fault area in the at least two line zones and the rest differentiated switch automation grades.
5. The method of claim 3, wherein determining the fault region and other regions of the line under evaluation for the component failure probability event from the at least two line segments based on the switch automation level and the failed component location associated with the component failure probability event comprises:
if the fault element associated with the element fault probability event is located on the branch line and the head end of the branch line where the fault element is located is provided with the protection element, determining the line partition to which the fault element belongs as a target partition according to the position of the fault element;
taking the rest of the at least two line partitions except the target partition and other branch lines except the branch line where the fault element is located in the target partition as non-fault areas;
and determining a fault area and a grade fault front area from the branch line of the fault element according to the relative position relation between the rest elements in the branch line of the fault element and the switch automation grade of the head end of the branch line of the fault element.
6. The method of claim 3, wherein determining the fault region and other regions of the line under evaluation for the component failure probability event from the at least two line segments based on the switch automation level and the failed component location associated with the component failure probability event comprises:
if the fault element associated with the element fault probability event is located on the branch line and no protection element is configured at the head end of the branch line where the fault element is located, determining a line partition to which the fault element belongs as a target partition according to the position of the fault element;
determining a fault area and a grade fault front area from the branch line of the fault element according to the relative position relation between the rest elements in the branch line of the fault element and the switch automation grade of the head end of the branch line of the fault element;
and determining another grade pre-fault area according to the relative position relation between the other subareas except the target subarea and the target subarea in the at least two line subareas and the switch automation grade of the other subareas.
7. The method according to claim 1, wherein the determining the reliability of the line to be evaluated according to the number of users in the power outage and the number of users at each load point comprises:
determining the average power failure time of the users according to the number of the users in the power failure and the number of the users at each load point;
and determining the reliability of the line to be evaluated according to the average power failure time of the user.
8. A line reliability determination apparatus, comprising:
the grade determining module is used for determining the automation grade of the switch according to the switching mode in the line to be evaluated;
the power failure duration determining module is used for determining the power failure duration of each load point in the line to be evaluated under each element fault probability event according to the circuit structure of the line to be evaluated, the switch automation level and the fault element position under each element fault probability event;
the power failure number determining module is used for determining the number of the power failure users according to the power failure duration of each load point, the number of users of each load point and the failure probability of each element;
and the reliability determining module is used for determining the reliability of the line to be evaluated according to the number of the users in the power failure and the number of the users at each load point.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of line reliability determination as recited in any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out a method for line reliability determination as claimed in any one of the claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111056123.3A CN113779902A (en) | 2021-09-09 | 2021-09-09 | Method, device and equipment for determining reliability of circuit and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111056123.3A CN113779902A (en) | 2021-09-09 | 2021-09-09 | Method, device and equipment for determining reliability of circuit and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113779902A true CN113779902A (en) | 2021-12-10 |
Family
ID=78842021
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111056123.3A Pending CN113779902A (en) | 2021-09-09 | 2021-09-09 | Method, device and equipment for determining reliability of circuit and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113779902A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103839189A (en) * | 2013-12-16 | 2014-06-04 | 广东电网公司中山供电局 | Distribution automation scheme optimization method and system based on reliability benefit evaluation |
| CN105406470A (en) * | 2015-12-21 | 2016-03-16 | 国家电网公司 | Reliability evaluation method for active power distribution network based on switch boundary subarea division |
| CN106934532A (en) * | 2017-02-28 | 2017-07-07 | 国网安徽省电力公司经济技术研究院 | A kind of distribution system Reliability Estimation Method based on power distribution automation |
| CN108564252A (en) * | 2018-03-15 | 2018-09-21 | 广西大学 | A kind of distribution network reliability computational methods considering multifunctional ligand electric automation |
| CN109447847A (en) * | 2018-12-24 | 2019-03-08 | 天津天电清源科技有限公司 | A kind of active power distribution network Reliability Estimation Method containing flexible Sofe Switch |
| CN110097284A (en) * | 2019-04-30 | 2019-08-06 | 广东电网有限责任公司 | A kind of distribution network reliability evaluation method and device based on feeder line capacity-constrained |
| CN111144680A (en) * | 2019-03-21 | 2020-05-12 | 国网安徽省电力有限公司经济技术研究院 | Power supply reliability calculation method applied to power distribution automation |
| CN111553603A (en) * | 2020-04-30 | 2020-08-18 | 深圳供电局有限公司 | Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium |
| CN111784141A (en) * | 2020-06-23 | 2020-10-16 | 广东电网有限责任公司东莞供电局 | Power supply reliability evaluation method, device, equipment and storage medium |
| CN111835002A (en) * | 2020-01-02 | 2020-10-27 | 南方电网科学研究院有限责任公司 | Power distribution network reliability assessment method and device and storage medium |
| CN113051755A (en) * | 2021-03-23 | 2021-06-29 | 广东电网有限责任公司 | Method and system for judging operation reliability of power distribution network capable of dividing regions |
-
2021
- 2021-09-09 CN CN202111056123.3A patent/CN113779902A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103839189A (en) * | 2013-12-16 | 2014-06-04 | 广东电网公司中山供电局 | Distribution automation scheme optimization method and system based on reliability benefit evaluation |
| CN105406470A (en) * | 2015-12-21 | 2016-03-16 | 国家电网公司 | Reliability evaluation method for active power distribution network based on switch boundary subarea division |
| CN106934532A (en) * | 2017-02-28 | 2017-07-07 | 国网安徽省电力公司经济技术研究院 | A kind of distribution system Reliability Estimation Method based on power distribution automation |
| CN108564252A (en) * | 2018-03-15 | 2018-09-21 | 广西大学 | A kind of distribution network reliability computational methods considering multifunctional ligand electric automation |
| CN109447847A (en) * | 2018-12-24 | 2019-03-08 | 天津天电清源科技有限公司 | A kind of active power distribution network Reliability Estimation Method containing flexible Sofe Switch |
| CN111144680A (en) * | 2019-03-21 | 2020-05-12 | 国网安徽省电力有限公司经济技术研究院 | Power supply reliability calculation method applied to power distribution automation |
| CN110097284A (en) * | 2019-04-30 | 2019-08-06 | 广东电网有限责任公司 | A kind of distribution network reliability evaluation method and device based on feeder line capacity-constrained |
| CN111835002A (en) * | 2020-01-02 | 2020-10-27 | 南方电网科学研究院有限责任公司 | Power distribution network reliability assessment method and device and storage medium |
| CN111553603A (en) * | 2020-04-30 | 2020-08-18 | 深圳供电局有限公司 | Method and device for evaluating power supply reliability of low-voltage user and computer readable storage medium |
| CN111784141A (en) * | 2020-06-23 | 2020-10-16 | 广东电网有限责任公司东莞供电局 | Power supply reliability evaluation method, device, equipment and storage medium |
| CN113051755A (en) * | 2021-03-23 | 2021-06-29 | 广东电网有限责任公司 | Method and system for judging operation reliability of power distribution network capable of dividing regions |
Non-Patent Citations (2)
| Title |
|---|
| 王主丁;韦婷婷;万凌云;杨群英;宋伟;张盈;: "计及多类开关和容量约束的中压配电网可靠性估算解析模型", 电力系统自动化, no. 17, pages 146 - 155 * |
| 邱生敏;王浩浩;管霖;: "考虑复杂转供和预安排停电的配电网可靠性评估", 电网技术, no. 05, pages 121 - 126 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106226658B (en) | Power grid fault diagnosis method based on multi-data fusion | |
| CN110178121B (en) | Database detection method and terminal thereof | |
| US20060190227A1 (en) | Group-based BCU methods for on-line dynamical security assessments and energy margin calculations of practical power systems | |
| US9280409B2 (en) | Method and system for single point of failure analysis and remediation | |
| US11036587B2 (en) | Method, apparatus, and computer program product for managing storage system using partial drive failure prediction | |
| CN114915546B (en) | Power failure user positioning method, device, equipment and medium | |
| CN113625945A (en) | Distributed storage slow disk processing method, system, terminal and storage medium | |
| Clements et al. | Systemic modelling and integrated assessment of asset management strategies and staff constraints on distribution network reliability | |
| CN111784141A (en) | Power supply reliability evaluation method, device, equipment and storage medium | |
| CN111049670A (en) | Method and device for fusing isolation of micro-service | |
| CN115935825A (en) | Power distribution network fault processing method and device based on digital twin model | |
| CN113779902A (en) | Method, device and equipment for determining reliability of circuit and storage medium | |
| CN109558657B (en) | Power supply mode reliability calculation method, device, storage medium and calculation equipment | |
| CN111062604B (en) | Meteorological disaster-based power grid business risk assessment method, device and equipment | |
| CN111934293B (en) | Power system fault analysis method, device, equipment and storage medium | |
| CN115372752A (en) | Fault detection method, device, electronic equipment and storage medium | |
| CN113946493A (en) | Monitoring threshold determination and monitoring alarm method, device, equipment and medium | |
| CN110009240B (en) | Power system reliability assessment method | |
| CN114692082A (en) | Method, system, device and medium for identifying battery swapping user | |
| CN110532271A (en) | Distributed storage method, control system and the device realized based on DHT algorithm | |
| JP5412563B2 (en) | FAILURE LOCATION DEVICE, FAILURE LOCATION METHOD, AND FAILURE LOCATION PROGRAM | |
| CN113434193B (en) | Root cause change positioning method and device | |
| JP7296860B2 (en) | Supervisory control device and wide area supervisory control system using the same | |
| US20210081130A1 (en) | Method, device, and product for managing scrubbing operation in storage system | |
| CN114721847A (en) | Method and device for determining equipment failure |
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 |