CN111835002B - Power distribution network reliability assessment method, device and storage medium - Google Patents

Power distribution network reliability assessment method, device and storage medium Download PDF

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CN111835002B
CN111835002B CN202010629557.7A CN202010629557A CN111835002B CN 111835002 B CN111835002 B CN 111835002B CN 202010629557 A CN202010629557 A CN 202010629557A CN 111835002 B CN111835002 B CN 111835002B
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power failure
reliability
fault
events
distribution network
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CN111835002A (en
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高松川
胡博
张吉明
王凯琳
甘国晓
李世双
路红池
张伟鑫
顾衍璋
赵溶生
赵昌禄
康文韬
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China South Power Grid International Co ltd
China Southern Power Grid Co Ltd
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China Southern Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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

Abstract

The invention discloses a power distribution network reliability evaluation method, a device and a storage medium, wherein the method comprises the following steps: acquiring historical statistical data of a power distribution network, and dividing fault power failure events into short circuit fault power failure events, ground fault power failure events and emergency power failure elimination events; respectively calculating the failure rate and the power failure time of three types of failure and power failure events; dividing a power distribution network into a plurality of blocks according to the distribution of switch equipment in the power distribution network; obtaining the failure rate and the power failure time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation; enumerating various fault events by taking the blocks as units, determining a fault influence range, and judging the fault type of each block; and (5) performing reliability calculation to obtain a reliability index of the system. According to the invention, the power distribution network is partitioned and various fault events are enumerated to determine the type of the partitioned power distribution network, so that the reliability index can be finely calculated and obtained, and the accuracy of the evaluation result is improved.

Description

Power distribution network reliability assessment method, device and storage medium
Technical Field
The invention relates to the technical field of operation management of power supply systems, in particular to a power distribution network reliability assessment method, a device and a storage medium.
Background
The safety and reliability of the power system are the key for ensuring the normal daily life of people and ensuring the safety of property of people, the power distribution network is a terminal for providing electric energy for users, and the fundamental task of the power distribution network is to distribute the electric power to the users as economically and reliably as possible. The power supply capacity and the power supply reliability of the whole power system to users are embodied through a power distribution network, and statistical data display is carried out: about 80% of power outage accidents are caused by power distribution system faults, so that the power distribution network power supply reliability index is effectively a centralized representation of the whole power system structure, operation characteristics and reliability level.
However, at present, when each evaluation subject at home and abroad performs reliable evaluation, the actual flow of the operation and maintenance of the distribution network is not considered, the deviation between the established calculation model and the actual production is large, the difference of the power failure time length/power failure range of various power failure events in the system operation is not fully considered, and the reliability of the classification evaluation of the power failure events is not considered, so that the accuracy of the evaluation result is not high.
Disclosure of Invention
The embodiment of the invention aims to provide a power distribution network reliability evaluation method, a device and a storage medium, wherein the power distribution network is partitioned and various fault events are enumerated to determine the type of the partitioned blocks, so that reliability indexes can be obtained through fine calculation, and the accuracy of evaluation results is improved.
To achieve the above object, an embodiment of the present invention provides a method for evaluating reliability of a power distribution network, including the following steps:
acquiring historical statistical data of a power distribution network, and dividing fault power failure events into short circuit fault power failure events, ground fault power failure events and emergency power failure elimination events;
respectively calculating the failure rate and the power failure time of three types of failure and power failure events;
dividing a power distribution network into a plurality of blocks according to the distribution of switch equipment in the power distribution network;
obtaining the failure rate and the power failure time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation;
enumerating various fault events by taking the blocks as units, determining a fault influence range, and judging the fault type of each block;
and (5) performing reliability calculation to obtain a reliability index of the system.
Preferably, the obtaining the failure rate and repair time of each element in each partition, and obtaining the equivalent reliability parameter of each partition according to the calculation specifically includes:
obtaining the failure rate lambda of the ith element in the partition i
Acquiring the power failure time length r of the ith element in the partition i
According to
Figure GDA0004246086960000021
Calculating to obtain the equivalent failure rate of the block; wherein lambda is s For equivalent failure rate, the partition comprises n elements, i is more than or equal to 1 and less than or equal to n;
according to
Figure GDA0004246086960000022
Calculating to obtain the equivalent power failure time of the block; wherein r is s Is equivalent power failure duration.
Preferably, enumerating various fault events in units of blocks, determining a fault influence range, and judging a fault type of each block, including:
sequentially enumerating short circuit fault power failure events, ground fault power failure events and emergency fault elimination power failure events by taking the blocks as units;
determining the influence range of various fault events;
dividing the blocks into four types according to different fault outage time: class A, nodes with correct actions of the switch not affected by faults; class B, failure time is a node isolating operation time; class C, the fault time is the node of the isolation operation plus the switching operation time; class D, failure time is the node of element repair time.
Preferably, the performing reliability calculation to obtain a reliability index of the system specifically includes:
acquiring basic parameters and reliability parameters of the power distribution network; the basic parameters comprise topological structure parameters, facility basic parameters and load point parameters; the reliability parameters comprise failure rate and power failure duration;
calculating according to Z=f (X, Y) to obtain reliability indexes of the system, wherein the reliability indexes comprise an average power supply reliability index of the system, an average power failure frequency index of the system, an average power failure duration index of the system and an average power failure and power failure quantity; wherein X represents a base parameter, Y represents a reliability parameter, and Z represents a reliability index.
Preferably, the calculating according to z=f (X, Y) to obtain the reliability index of the system specifically includes:
Figure GDA0004246086960000031
Figure GDA0004246086960000032
Figure GDA0004246086960000033
Figure GDA0004246086960000034
another embodiment of the present invention provides a power distribution network reliability evaluation device, including:
the classification module is used for acquiring historical statistical data of the power distribution network and dividing fault outage events into short circuit fault outage events, ground fault outage events and emergency outage events;
the parameter calculation module is used for calculating the failure rate and the power failure time of three types of failure and power failure events respectively;
the block dividing module is used for dividing the power distribution network into a plurality of blocks according to the distribution of the switch equipment in the power distribution network;
the equivalent module is used for acquiring the failure rate and the power failure time of each element in each block and obtaining the equivalent reliability parameter of each block according to calculation;
the judging module is used for enumerating various fault events by taking the blocks as units, determining a fault influence range and judging the fault type of each block;
the index calculation module is used for carrying out reliability calculation to obtain the reliability index of the system; .
A further embodiment of the invention correspondingly provides a device for using the reliability evaluation method of the power distribution network, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the reliability evaluation method of the power distribution network according to any one of the above.
Still another embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where the computer program when executed controls a device where the computer readable storage medium is located to perform the method for evaluating reliability of a power distribution network according to any one of the preceding claims.
Compared with the prior art, the power distribution network reliability assessment method, device and storage medium provided by the embodiment of the invention have the advantages that the power distribution network is partitioned, various fault events are enumerated to determine the type of the partitioned power distribution network, so that the reliability index can be calculated in a refined manner, and the accuracy of the assessment result is improved.
Drawings
Fig. 1 is a schematic flow chart of a method for evaluating reliability of a power distribution network according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a simple medium voltage distribution network provided by this embodiment of the invention;
fig. 3 is a schematic flow chart of a method for determining a fault rate of a power distribution device according to the embodiment of the present invention;
fig. 4 is a schematic flow chart of a power outage duration calculation method for a power distribution device according to the embodiment of the present invention;
FIG. 5 is a schematic diagram of a repair model of a short circuit fault outage event provided by this embodiment of the present invention;
FIG. 6 is a schematic diagram of a ground fault outage event repair model provided by this embodiment of the present invention;
fig. 7 is a diagram of a repair time model for emergency defect elimination (immediate power failure) of a medium-voltage distribution network according to the embodiment of the invention;
fig. 8 is a diagram of a repair time model for emergency defect elimination (delayed power failure) of a medium-voltage distribution network according to the embodiment of the invention
Fig. 9 is a schematic structural diagram of a reliability evaluation device for a power distribution network according to an embodiment of the present invention;
fig. 10 is a schematic diagram of an apparatus for using a reliability evaluation method of a power distribution network according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of a method for evaluating reliability of a power distribution network according to an embodiment of the present invention is shown, where the method includes steps S1 to S6:
s1, acquiring historical statistical data of a power distribution network, and dividing fault outage events into short circuit fault outage events, ground fault outage events and emergency fault outage events;
s2, respectively calculating the failure rate and the power failure time of three types of failure and power failure events;
s3, dividing the power distribution network into a plurality of blocks according to the distribution of the switch equipment in the power distribution network;
s4, obtaining the failure rate and the power failure time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation;
s5, enumerating various fault events by taking the blocks as units, determining a fault influence range, and judging the fault type of each block;
s6, reliability calculation is carried out, and a reliability index of the system is obtained.
It should be noted that the present invention is mainly directed to a medium voltage distribution network, and the specific steps are as follows: and acquiring historical statistical data of the power distribution network, and dividing the fault power failure event into a short circuit fault power failure event, a ground fault power failure event and an emergency power failure elimination event according to different properties. In general, a short-circuit fault outage event refers to an outage of a 10kV line caused by a fault in equipment or components such as switches, lines, transformers, lightning arresters, etc. The emergency outage event is that operators or social staff repair and replace defective equipment when the equipment is found to be damaged (the medium-voltage distribution network outage is not caused yet). The ground fault power failure event is when the medium voltage distribution network is in single phase grounding (the tripping of a switch is not caused yet), and the ground fault needs to be checked and repaired.
Respectively calculating the failure rate and the power failure time of three types of failure and power failure events; the failure rate can be obtained according to historical statistical data, and the power failure time can be obtained by calculation according to a repair model diagram of each type of failure and power failure event.
And acquiring a structural diagram of the power distribution network, and dividing the power distribution network into a plurality of blocks according to distribution of switch equipment in the power distribution network, wherein the main basis is a breaker and a load switch. In general, there are some element faults that have the same influence on the load, and a set of such elements is called a block, and reliability evaluation is performed on the power distribution network in units of blocks, so that the evaluation speed can be increased. Referring to fig. 2, a schematic diagram of a simple medium-voltage distribution network according to the embodiment of the present invention is provided, in which thick black blocks represent circuit breakers, thin black blocks represent load switches, and as can be seen from fig. 2, the distribution network is divided into 7 blocks by using the switches as boundaries.
Obtaining the failure rate and the power failure time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation; because the action situation of the switching elements of the system is identical after any element in the block set fails, the equivalent reliability parameter of the block can be calculated by adopting a multi-element series formula for the block set.
Enumerating various fault events by taking the blocks as units, determining a fault influence range, and judging the fault type of each block. When one fault event occurs in one of the blocks in the power distribution network, other blocks are affected correspondingly, and the blocks can be classified according to different degrees of the influence.
And performing reliability calculation according to the obtained system data, thereby obtaining the reliability index of the system.
According to the power distribution network reliability assessment method provided by the embodiment 1 of the invention, the power distribution network is partitioned and various fault events are enumerated to determine the type of the partitioned power distribution network, so that the reliability index can be finely calculated and obtained, and the accuracy of the assessment result is improved.
As an improvement of the above solution, the obtaining the failure rate and repair time of each element in each partition, and obtaining the equivalent reliability parameter of each partition according to the calculation specifically includes:
obtaining the failure rate lambda of the ith element in the partition i
Acquiring the power failure time length r of the ith element in the partition i
According to
Figure GDA0004246086960000061
Calculating to obtain the equivalent failure rate of the block; wherein lambda is s For equivalent failure rate, the partition comprises n elements, i is more than or equal to 1 and less than or equal to n;
according to
Figure GDA0004246086960000062
Calculating to obtain the equivalent power failure time of the block; wherein r is s Is equivalent power failure duration.
Specifically, the failure rate lambda of the ith element in the partition is obtained i Referring to fig. 3, a flow chart of a method for obtaining a fault rate of a power distribution device according to the embodiment of the present invention is shown. The elements, i.e. the power distribution equipment, may have various fault events, so the fault rate of the elements under each type of fault event is counted, and the specific steps include: the attribute characteristics of each equipment of the case are used for solving the fault rate under various fault responsibility reasons, enumerating each power distribution equipment in sequence, judging the fault event classification of the power distribution equipment, calculating the fault rate of the power distribution equipment under the fault event, judging whether the enumeration of the power distribution equipment is finished, if yes, ending, and if not, continuing to enumerate the power distribution equipment.
Acquiring the power failure time length r of the ith element in the partition i The method comprises the steps of carrying out a first treatment on the surface of the Referring to fig. 4, a flow chart of a method for obtaining a power outage duration of a power distribution device according to the embodiment of the present invention is shown, and as can be seen from fig. 4, specific steps include: inputting a power distribution equipment ID; traversing the standing book data, and inquiring the belonging area, the equipment type and the automation mode of the power distribution equipment; traversing fault and outage event classification, matching equipment characteristic fields, and solving the value of each time period; obtaining time reliability parameters of the power distribution equipment under the corresponding fault power failure event, and counting the times of faults in the mode; power distribution deviceTime class reliability parameters.
According to
Figure GDA0004246086960000071
Calculating to obtain equivalent failure rate of the blocks; wherein lambda is s For equivalent failure rate, n elements are contained in the block, i is more than or equal to 1 and less than or equal to n, so that the equivalent failure rate of the block can be obtained from the failure rate of a single element.
According to
Figure GDA0004246086960000072
Calculating to obtain equivalent power failure time of the blocks; wherein r is s The equivalent power-off time length is equivalent, so that the equivalent power-off time length of the blocks can be obtained from the power-off time length of the single element.
As an improvement of the above solution, enumerating various fault events in units of blocks, determining a fault influence range, and judging a fault type of each block, including:
sequentially enumerating short circuit fault power failure events, ground fault power failure events and emergency fault elimination power failure events by taking the blocks as units;
determining the influence range of various fault events;
dividing the blocks into four types according to different fault outage time: class A, nodes with correct actions of the switch not affected by faults; class B, failure time is a node isolating operation time; class C, the fault time is the node of the isolation operation plus the switching operation time; class D, failure time is the node of element repair time.
Specifically, enumerating short-circuit fault power failure events, ground fault power failure events and emergency fault elimination power failure events in turn by taking a block as a unit, and determining the influence range of various fault events;
dividing the blocks into four types according to different fault outage time: class A, nodes with correct actions of the switch not affected by faults; class B, failure time is a node isolating operation time; class C, the fault time is the node of the isolation operation plus the switching operation time; class D, failure time is the node of element repair time.
To enhance understanding of this embodiment, referring to fig. 2, if a short-circuit fault power failure event occurs in a certain element in the partition 4, the partition type is D, and the power failure duration of the fault section is the total equipment repair duration; in the section from the power point to the trip breaker, the block type is class a, and the power failure duration is 0 (not shown in fig. 1, if the block 2 fails, the remaining blocks are class a). The type of the blocks except the type A at the upstream of the fault section is type B, the power failure time is fault locating time + fault isolation time, if a tie switch exists in the downstream of the fault section, the type C is allowed to carry out power transfer operation after a fault power failure event, and the power failure time is fault locating time + fault isolation time + operation time of switching the tie switch; otherwise, the type is D, and the power failure duration is the total equipment repairing duration; from this classification, the segments 1, 2, and 3 are obtained as class B, and the segments 5, 6, and 7 are obtained as class D. And by analogy, enumerating various fault events of other blocks as well as the block 4, determining a fault influence range, and dividing the types of the other blocks to evaluate and obtain the reliability index of the medium-voltage network.
As an improvement of the above solution, the performing reliability calculation to obtain a reliability index of the system specifically includes:
acquiring basic parameters and reliability parameters of the power distribution network; the basic parameters comprise topological structure parameters, facility basic parameters and load point parameters; the reliability parameters comprise failure rate and power failure duration;
calculating according to Z=f (X, Y) to obtain reliability indexes of the system, wherein the reliability indexes comprise an average power supply reliability index of the system, an average power failure frequency index of the system, an average power failure duration index of the system and an average power failure and power failure quantity; wherein X represents a base parameter, Y represents a reliability parameter, and Z represents a reliability index.
Specifically, basic parameters and reliability parameters of the power distribution network are obtained; the basic parameters comprise topological structure parameters, facility basic parameters and load point parameters; the reliability parameters include failure rate and power outage duration. The topology structure parameters, the facility foundation parameters and the load point parameters can be respectively obtained from a Geographic Information System (GIS), a device (asset) operation and maintenance lean management system (PMS) and a scheduling data acquisition and detection control System (SCADA). The fault rate parameter and the power failure duration parameter can be obtained through statistics of a power supply company fault power failure list.
Calculating according to Z=f (X, Y) to obtain reliability indexes of the system, wherein the reliability indexes comprise an average power supply reliability index of the system, an average power failure frequency index of the system, an average power failure duration index of the system and an average power failure and power failure quantity; wherein X represents a base parameter, Y represents a reliability parameter, and Z represents a reliability index.
In order to better realize reliability evaluation, an evaluation model can be set, the function expression of the model is Z=f (X, Y), the input parameters of the model are basic parameters and reliability parameters, and the output is a reliability index.
As an improvement of the above solution, the calculating according to z=f (X, Y) to obtain the reliability index of the system specifically includes:
Figure GDA0004246086960000091
Figure GDA0004246086960000092
Figure GDA0004246086960000093
Figure GDA0004246086960000094
specifically, the average power supply reliability index is denoted by ASAI (Average service availability index),
Figure GDA0004246086960000095
system and method for controlling a systemThe average outage frequency index is indicated by SAIFI (System average interruption frequency index),
Figure GDA0004246086960000096
Figure GDA0004246086960000097
the average power outage duration index of the system is shown by SAIDI (System average interruption duration index) according to
Figure GDA0004246086960000101
The average power outage/shortage is indicated by AENS (Average energy not supplied),
Figure GDA0004246086960000102
Figure GDA0004246086960000103
of course, other reliability indexes can be added as required to enrich the evaluation method of the invention, thereby improving the accuracy of evaluation.
To enhance the understanding of the present invention, the specific workflow of the power outage event recovery of each type will be described in detail below, and a fine repair time model diagram will be given.
(1) Short circuit fault power failure event
The short circuit fault power failure event refers to the occurrence of a power failure of a 10kV line due to the failure of equipment or components such as a switch, a line, a transformer, a lightning arrester and the like. Referring to fig. 5, which is a short-circuit fault power failure event repair model diagram provided by the embodiment of the present invention, as can be seen from fig. 5, after a fault power failure occurs, the working flow of a conventional fault of a distribution network is as follows: firstly, a dispatching center obtains a fault report and informs power failure details to an emergency repair team and a power transformation operation team; after receiving the notification, the team personnel operates the team to go to the fault line for fault location, isolation, upstream and downstream power restoration and other operations according to the information of the dispatching center, and meanwhile, the power transformation operator starts the corresponding transformer substation for power transformation operation (if the external environment is severe and does not meet the operation condition, the environment needs to be waited for to be well transferred); secondly, after obtaining the fault location and the fault details, the maintenance team starts to transact related work tickets, prepares first-aid repair work tools, calls standby equipment and the like, and goes to the fault location to repair and replace the fault equipment; after the whole first-aid repair operation is finished, a dispatching center gives an instruction, and an operation team recovers the operation mode of the distribution network. The specific meanings of the time points and time periods in the figure are given in table 1.
TABLE 1 time node meaning for general fault outage event repair time accurate model
Figure GDA0004246086960000104
Figure GDA0004246086960000111
As can be seen from fig. 5, the occurrence of the short-circuit fault power failure event can cause the automatic tripping of the switch, and during the fault positioning and isolation period, the power of the whole feeder line is cut off, and the upstream and downstream of the fault section are powered up again and powered down again respectively, so that the power is recovered. Therefore, the upstream power failure time is t 8 The downstream power failure time is t 9 The power failure time of the fault section is t 18 . The general fault power failure event has longer power failure duration, wider power failure range and more lost households.
For the short-circuit fault and power failure event, the method can be analogized with the diagram of FIG. 2, enumerate the fault block type as D, and have the power failure duration of t 18 The method comprises the steps of carrying out a first treatment on the surface of the The partition type is A, and the power failure duration is 0; the upstream of the fault section is divided into blocks of type B except A, and the power failure time is t 8 The method comprises the steps of carrying out a first treatment on the surface of the If there is connection at the downstream of the fault section, the type is C, and the power failure duration is t 9 Otherwise, the type is D.
(2) Ground fault power outage event
When the medium-voltage distribution network is in single-phase grounding (the tripping of a switch is not caused yet), the ground fault needs to be checked and repaired.
Referring to fig. 6, which is a ground fault outage event repair model diagram provided by this embodiment of the present invention, as can be seen from fig. 6, a workflow of the distribution network operation for coping with a single-phase ground fault of a medium voltage distribution network is as follows: firstly, a dispatching center obtains a fault report, rapidly judges a ground fault line (or manually judges and selects a line for a transformer operation team) according to a small-current ground line selecting device, and informs fault information to an urgent repair team and the transformer operation team.
Then, after the condition of operation is reached on site, the emergency repair team goes to the fault line for inspection and fault location according to the instruction of the dispatching center, and meanwhile, the transformer operator goes to the transformer substation for inspection and inspection of the equipment in the substation; secondly, after the maintenance team detects the fault location, the maintenance team starts to prepare fault repairing tools, procedures and the like, the operation team isolates the fault section and transfers the fault section to the upstream and downstream for operation, and the maintenance team maintains and replaces fault equipment; and finally, after the distribution network fault is successfully repaired and the operation condition is reached, giving an instruction by a dispatching center, and recovering the operation mode of the distribution network by the emergency repair team. The specific meanings of the time points and time periods in the figure are given in table 2.
TABLE 2 accurate repair time model for ground faults time node meanings
Figure GDA0004246086960000121
Figure GDA0004246086960000131
For single-phase earth fault event, the earth fault line (or the power transformation operation team can manually judge the line selection) can be rapidly judged according to the low-current earth line selection device, so that the fault positioning time is greatly shortened. Under the condition of single-phase ground fault, the rest two phases can normally operate within An Guixian set time.
1) When t Safety gauge When not less than t5, the whole feeder line is simultaneously powered offThe time being only the isolation operation time, i.e. t 6 -t 5 . And the upstream and downstream of the fault section are respectively powered up again at the upstream and powered down again. Therefore, the upstream power failure time is t 8 -t 5 The downstream power failure time is t 9 -t 5 The power failure time of the fault section is t 18 -t 5 . Therefore, the failure power-off time of the partition of type B is t 8 -t 5 The failure power failure time of the partition with the type of C is t 9 -t 5 The failure power failure time of the partition with the type D is t 18 -t 5
2) When t Safety gauge <t 5 When the safety rule is reached, the feeder power-off operation needs to be carried out, and the time of simultaneously powering off all feeder lines is t 8 -t Safety gauge After the isolation operation, the upstream and downstream of the fault section are powered up again respectively after the power supply is switched to the downstream. Therefore, the upstream power failure time is t 8 -t Safety gauge The downstream power failure time is t 9 -t Safety gauge The power failure time of the fault section is t 18 -t Safety gauge I.e. the failure outage time of a block of type B is t 8 -t Safety gauge The failure power failure time of the partition with the type of C is t 9 -t Safety gauge The failure power failure time of the partition with the type D is t 18 -t Anan (safety) Gauge (d).
(3) Emergency power failure event
The emergency elimination of the medium-voltage distribution network is that operators or social staff repair and replace defective equipment when the equipment is found to be damaged (the medium-voltage distribution network power failure is not caused yet). Referring to fig. 7 and 8, respectively, a repair time model diagram of an emergency extinction (immediate power failure) of a medium-voltage distribution network and a repair time model diagram of an emergency extinction (delayed power failure) of a medium-voltage distribution network provided by the embodiment of the invention, as can be seen from fig. 7 and 8, the work flow of the distribution network operation for coping with the emergency extinction of the medium-voltage distribution network is as follows: firstly, a dispatching center obtains an emergency defect report and gives emergency repair operation notices to a transformer operation team and an emergency repair team; then, the transformer operation team and the emergency repair team arrive at the operation site and are ready to work, waiting for a dispatch command.
The emergency team goes to the site for investigation:
1) If the safety of personnel and equipment is endangered in the field condition and immediate power failure is needed, the emergency team applies for the immediate power failure to the dispatching center. The substation operation team in the station receives the dispatching instruction and performs power failure operation. And after the line of the emergency repair team fails, the operation section isolation, upstream power restoration and downstream power conversion work are immediately carried out according to the dispatching instruction. The distribution network maintenance team makes a work plan, prepares materials and handles work procedures according to the site situation, and applies for carrying out emergency defect elimination work to the dispatching center after the materials, the work teams, the work tools and the like are prepared.
2) If the personal safety and the equipment safety are not endangered in a short period of the site condition, after temporary safety measures are made, working plans are formulated, materials are prepared, working procedures are handled, after materials, working teams, working tools and the like are prepared, power failure is applied to a dispatching center, and emergency repair team immediately develop working section isolation, upstream power restoration and downstream power conversion work according to dispatching instructions. After the power failure maintenance operation condition is met, the distribution network maintenance team carries out emergency defect elimination work according to the plan.
And finally, after the failure recovery of the distribution network is successful and the operation conditions are met, giving an instruction by a dispatching center, and recovering the operation mode of the distribution network by an operation team. The specific meanings of the time points and time periods in the figure are given in table 3.
TABLE 2 Emergency defect elimination accurate repair time model temporal node meanings
Figure GDA0004246086960000141
Figure GDA0004246086960000151
For the power failure event caused by emergency defect elimination, the power failure range and the power failure duration need to be analyzed specifically according to specific situations.
1) Immediately, power failure:
the fault positioning time is not needed, and the time of simultaneously powering off all feeder lines is only the isolation operation time, namely t 6 -t 5 . And the upstream and downstream of the fault section are respectively powered up again at the upstream and powered down again. Therefore, the upstream power failure time is t 8 -t 5 The downstream power failure time is t 9 -t 5 The power failure time of the fault section is t 18 -t 5
For the immediate power outage situation, the system blocks are of the same type as shown in FIG. 2. However, since it does not require fault location, the outage time of each block needs to be subtracted accordingly.
2) Delay power failure:
also, no fault location time is required, and the time of simultaneous power failure of all feeder lines is only the isolation operation time, i.e. t 6 -t 12 At the same time, upstream power supply is restored, so that the upstream power failure time is t 6 -t 12 . The downstream of the fault section is powered back after power is turned over, and the downstream power failure time is t 9 -t 12 Because the isolation operation is carried out only after the materials for rush repair and delivery arrive, the power failure time of the fault section under the condition of delayed power failure is greatly shortened compared with the power failure time immediately, which is only t 18 -t 12
For the delayed power failure condition, the system is similar to the system in each block type shown in fig. 2. However, since it does not require fault location, the outage time of each block needs to be subtracted accordingly. In addition, since the isolation operation is performed after the rush repair delivery material arrives, the material delivery time is subtracted from the partition of type D.
According to the classification of the fault outage events, different fault outage events can be seen to have different power restoration work flows, so that the outage range and the outage time are different.
Referring to fig. 9, a schematic structural diagram of a power distribution network reliability evaluation device according to an embodiment of the present invention is provided, where the device includes:
the classification module 11 is configured to obtain historical statistics of the power distribution network, and divide a fault outage event into a short circuit fault outage event, a ground fault outage event and an emergency outage event;
the parameter calculation module 12 is used for respectively calculating the failure rate and the power failure duration of three types of failure and power failure events;
a blocking module 13, configured to divide a power distribution network into a plurality of blocks according to distribution of switching devices in the power distribution network;
the equivalent module 14 is configured to obtain a failure rate and a power failure duration of each element in each partition, and obtain an equivalent reliability parameter of each partition according to calculation;
the judging module 15 is used for enumerating various fault events by taking the blocks as units, determining a fault influence range and judging the fault type of each block;
the index calculation module 16 is configured to perform reliability calculation to obtain a reliability index of the system.
The power distribution network reliability evaluation device provided by the embodiment of the invention can realize all the processes of the power distribution network reliability evaluation method described in any one of the embodiments, and the actions and the realized technical effects of each module and each unit in the device are respectively the same as those of the power distribution network reliability evaluation method described in the embodiment, and are not repeated here.
Referring to fig. 10, a schematic diagram of an apparatus for using a reliability evaluation method of a power distribution network according to an embodiment of the present invention includes a processor 10, a memory 20, and a computer program stored in the memory 20 and configured to be executed by the processor 10, where the processor 10 implements the reliability evaluation method of a power distribution network according to any one of the embodiments described above when executing the computer program.
By way of example, a computer program may be partitioned into one or more modules/units that are stored in the memory 20 and executed by the processor 10 to perform the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing a specified function, the instruction segments describing the execution of a computer program in a method for evaluating the reliability of a power distribution network. For example, the computer program may be divided into a partition module, a parameter calculation module, a partition module, an equivalent module, a judgment module, and an index calculation module, each of which specifically functions as follows:
the classification module 11 is configured to obtain historical statistics of the power distribution network, and divide a fault outage event into a short circuit fault outage event, a ground fault outage event and an emergency outage event;
the parameter calculation module 12 is used for respectively calculating the failure rate and the power failure duration of three types of failure and power failure events;
a blocking module 13, configured to divide a power distribution network into a plurality of blocks according to distribution of switching devices in the power distribution network;
the equivalent module 14 is configured to obtain a failure rate and a power failure duration of each element in each partition, and obtain an equivalent reliability parameter of each partition according to calculation;
the judging module 15 is used for enumerating various fault events by taking the blocks as units, determining a fault influence range and judging the fault type of each block;
the index calculation module 16 is configured to perform reliability calculation to obtain a reliability index of the system.
The device using the reliability evaluation method of the power distribution network can be computing equipment such as a desktop computer, a notebook computer, a palm computer and a cloud server. The apparatus using the power distribution network reliability evaluation method may include, but is not limited to, a processor and a memory. It will be appreciated by those skilled in the art that the schematic diagram 10 is merely an example of an apparatus using the reliability evaluation method of a power distribution network, and is not limited thereto, and may include more or less components than illustrated, or may combine certain components, or different components, e.g., the apparatus using the reliability evaluation method of a power distribution network may further include an input/output device, a network access device, a bus, etc.
The processor 10 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor 10 may be any conventional processor or the like, and the processor 10 is a control center of the apparatus using the reliability evaluation method of the power distribution network, and connects various parts of the entire apparatus using the reliability evaluation method of the power distribution network using various interfaces and lines.
The memory 20 may be used to store the computer programs and/or modules, and the processor 10 may perform the various functions of the apparatus using the power distribution network reliability assessment method by executing or executing the computer programs and/or modules stored in the memory 20 and invoking data stored in the memory 20. The memory 20 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one function, and the like; the storage data area may store data created according to program use, or the like. In addition, the memory 20 may include high-speed random access memory, and may also include nonvolatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid state storage device.
The modules integrated with the device using the power distribution network reliability evaluation method can be stored in a computer-readable storage medium if implemented in the form of software functional units and sold or used as independent products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of each method embodiment may be implemented. The computer program comprises computer program code, and the computer program code can be in a source code form, an object code form, an executable file or some intermediate form and the like. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The embodiment of the invention also provides a computer readable storage medium, which comprises a stored computer program, wherein the computer program is used for controlling equipment where the computer readable storage medium is located to execute the reliability evaluation method of the distribution network according to any embodiment.
In summary, the evaluation method, the device and the storage medium for the reliability of the power distribution network provided by the embodiment of the invention are based on the block algorithm idea, and under different fault event types, the distribution of the switches is not changed, the division of the system blocks is basically the same, but the fault rate of the blocks under different fault event types is different, the fault outage repair time is different, and the influence effect of the fault event on the power supply reliability is also different. Therefore, a refined power distribution network reliability evaluation method needs to divide various fault events in detail. The invention is based on the historical statistics of power failure events, and divides the power failure events into three categories, namely general fault power failure events, emergency fault elimination and single-phase grounding faults. Because different power outage events can lead to different power outage time periods and different power outage ranges, consideration of power outage event distinction is added in the reliability evaluation process of the medium-voltage distribution network, and accuracy of the reliability evaluation of the distribution network can be improved.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.

Claims (4)

1. The power distribution network reliability evaluation method is characterized by comprising the following steps of:
acquiring historical statistical data of a power distribution network, and dividing fault power failure events into short circuit fault power failure events, ground fault power failure events and emergency power failure elimination events;
respectively calculating the failure rate and the power failure time of three types of failure and power failure events;
dividing a power distribution network into a plurality of blocks according to the distribution of switch equipment in the power distribution network;
obtaining the failure rate and the power failure time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation;
enumerating various fault events by taking the blocks as units, determining a fault influence range, and judging the fault type of each block; the method comprises the following steps: sequentially enumerating short circuit fault power failure events, ground fault power failure events and emergency fault elimination power failure events by taking the blocks as units; determining the influence range of various fault events; dividing the blocks into four types according to different fault outage time: class A, nodes with correct actions of the switch not affected by faults; class B, failure time is a node isolating operation time; class C, the fault time is the node of the isolation operation plus the switching operation time; class D, failure time is the node of element repair time;
performing reliability calculation to obtain a reliability index of the system;
the obtaining the failure rate and repair time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation specifically includes:
obtaining the failure rate lambda of the ith element in the partition i
Acquiring the power failure time length r of the ith element in the partition i
According to
Figure QLYQS_1
Calculating to obtain the equivalent failure rate of the block; wherein lambda is s For equivalent failure rate, the partition comprises n elements, i is more than or equal to 1 and less than or equal to n;
according to
Figure QLYQS_2
Calculating to obtain the equivalent power failure time of the block; wherein r is s Is equivalent power failure duration;
the reliability calculation is performed to obtain the reliability index of the system, which specifically comprises the following steps:
acquiring basic parameters and reliability parameters of the power distribution network; the basic parameters comprise topological structure parameters, facility basic parameters and load point parameters; the reliability parameters comprise failure rate and power failure duration;
calculating according to Z=f (X, Y) to obtain reliability indexes of the system, wherein the reliability indexes comprise an average power supply reliability index of the system, an average power failure frequency index of the system, an average power failure duration index of the system and an average power failure and power failure quantity; wherein X represents a basic parameter, Y represents a reliability parameter, and Z represents a reliability index;
the calculating according to z=f (X, Y) to obtain the reliability index of the system specifically includes:
according to
Figure QLYQS_3
Obtaining an average power supply reliability index of the system;
according to
Figure QLYQS_4
Obtaining an average power failure frequency index of the system;
according to
Figure QLYQS_5
Obtaining an average power failure duration index of the system;
according to
Figure QLYQS_6
And obtaining the average power failure and power shortage quantity.
2. A power distribution network reliability evaluation device, characterized by comprising:
the classification module is used for acquiring historical statistical data of the power distribution network and dividing fault outage events into short circuit fault outage events, ground fault outage events and emergency outage events;
the parameter calculation module is used for calculating the failure rate and the power failure time of three types of failure and power failure events respectively;
the block dividing module is used for dividing the power distribution network into a plurality of blocks according to the distribution of the switch equipment in the power distribution network;
the equivalent module is used for acquiring the failure rate and the power failure time of each element in each block and obtaining the equivalent reliability parameter of each block according to calculation;
the judging module is used for enumerating various fault events by taking the blocks as units, determining a fault influence range and judging the fault type of each block;
the index calculation module is used for carrying out reliability calculation to obtain the reliability index of the system;
the steps realized by the judging module are as follows: sequentially enumerating short circuit fault power failure events, ground fault power failure events and emergency fault elimination power failure events by taking the blocks as units; determining the influence range of various fault events; dividing the blocks into four types according to different fault outage time: class A, nodes with correct actions of the switch not affected by faults; class B, failure time is a node isolating operation time; class C, the fault time is the node of the isolation operation plus the switching operation time; class D, failure time is the node of element repair time;
the obtaining the failure rate and repair time of each element in each block, and obtaining the equivalent reliability parameter of each block according to calculation specifically includes:
obtaining the failure rate lambda of the ith element in the partition i
Acquiring the power failure time length r of the ith element in the partition i
According to
Figure QLYQS_7
Calculating to obtain the equivalent failure rate of the block; wherein lambda is s For equivalent failure rate, the partition comprises n elements, i is more than or equal to 1 and less than or equal to n;
according to
Figure QLYQS_8
Calculating to obtain the equivalent power failure time of the block; wherein r is s Is equivalent power failure duration;
the reliability calculation is performed to obtain the reliability index of the system, which specifically comprises the following steps:
acquiring basic parameters and reliability parameters of the power distribution network; the basic parameters comprise topological structure parameters, facility basic parameters and load point parameters; the reliability parameters comprise failure rate and power failure duration;
calculating according to Z=f (X, Y) to obtain reliability indexes of the system, wherein the reliability indexes comprise an average power supply reliability index of the system, an average power failure frequency index of the system, an average power failure duration index of the system and an average power failure and power failure quantity; wherein X represents a basic parameter, Y represents a reliability parameter, and Z represents a reliability index;
the calculating according to z=f (X, Y) to obtain the reliability index of the system specifically includes:
according to
Figure QLYQS_9
Obtaining an average power supply reliability index of the system;
according to
Figure QLYQS_10
Obtaining the obtainedThe average power failure frequency index of the system;
according to
Figure QLYQS_11
Obtaining an average power failure duration index of the system;
according to
Figure QLYQS_12
And obtaining the average power failure and power shortage quantity.
3. An apparatus for using a power distribution network reliability assessment method, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the power distribution network reliability assessment method of claim 1 when executing the computer program.
4. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the method for evaluating reliability of a distribution network according to claim 1.
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