CN114757496A - Method and device for evaluating power supply reliability of power distribution network - Google Patents
Method and device for evaluating power supply reliability of power distribution network Download PDFInfo
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Abstract
The application discloses an assessment method and a device for power supply reliability of a power distribution network, which are characterized in that the topological structure and line fault data of the power distribution network of each power supply area in a park to be assessed are obtained, the wiring modes of each distribution line in each power supply area are classified according to the structure of an overhead line and the structure of a cable line, the wiring type of each distribution line in each power supply area is determined, the average power failure time of a target user in the park to be assessed is calculated based on the wiring type and the line fault data, the power supply reliability of the park to be assessed is determined according to the average power failure time of the target user, so that the detailed topological information required by the original method is simplified as long as the topological information of the overhead line and the cable line is used, the workload of data collection and entry can be reduced, the assessment difficulty is reduced, and a standardized reliability assessment method is established, the power supply reliability evaluation can be carried out aiming at different power distribution networks, and important measurement indexes are provided for power grid planning of the power distribution network in the park.
Description
Technical Field
The application relates to the technical field of power distribution network safety, in particular to a method and a device for evaluating power supply reliability of a power distribution network.
Background
With the economic development moving to a new path of transformation upgrading and upgrading efficiency improvement, the requirement of the industrial park on the power supply reliability is higher and higher, and once sudden power failure such as power supply failure occurs, great loss can be caused. Therefore, the establishment of a power grid construction scheme reliability assessment system is of great significance, and the reliability of power supply of the park is effectively guaranteed.
At present, the conventional power distribution network power supply reliability evaluation method mainly adopts a fault mode consequence analysis method or a minimum path analysis method, establishes a fault mode consequence analysis table or a minimum path analysis table according to detailed topological structures and equipment parameters of different power distribution networks, and performs reliability evaluation by combining analysis table data. However, the scale of the power distribution network in the park is large, the grid structure types are numerous, the equipment quantity is large, and the grid scale difference is large, so that the table building process of the analysis table is very complex and tedious, and the reliability evaluation difficulty of the power distribution network in the park is large.
Disclosure of Invention
The application provides a method and a device for evaluating power supply reliability of a power distribution network, which are used for solving the technical problem that the reliability evaluation difficulty of the power distribution network in the current park is high.
In order to solve the technical problem, in a first aspect, the present application provides an evaluation method for power supply reliability of a power distribution network, including:
acquiring a power distribution network topological structure and line fault data of each power supply area in a park to be evaluated, wherein the power distribution network topological structure comprises an overhead line structure and a cable line structure;
classifying the wiring modes of the distribution lines in each power supply area according to the overhead line structure and the cable line structure, and determining the wiring types of the distribution lines in each power supply area;
calculating the average power failure time of target users of the park to be evaluated based on the wiring type and the line fault data;
and determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user.
According to the method, the topological structure and the line fault data of the power distribution network of each power supply area in the park to be evaluated are obtained, the wiring modes of all the power distribution lines in each power supply area are classified according to the overhead line structure and the cable line structure, and the wiring types of all the power distribution lines in each power supply area are determined, so that as long as the topological information of the overhead line and the cable line is adopted, detailed topological information required by the original method is simplified, the workload of data collection and input can be reduced, and the evaluation difficulty is reduced; and calculating the average power failure time of the target user of the park to be evaluated based on the wiring type and the line fault data, and determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user so as to evaluate the power supply unreliability caused by power failure, thereby quantifying the power supply reliability of the park to be evaluated and providing an important measurement index for the power grid planning of the power distribution network of the park.
Preferably, the classifying the connection mode of each distribution line in each power supply area according to the overhead line structure and the cable line structure, and determining the connection type of each distribution line in each power supply area includes:
for each distribution line in each power supply area, determining a line connection state and a switch selection state of an overhead line structure in the distribution line, and determining an overhead line connection type of the distribution line;
and for each distribution line in each power supply area, determining the line connection state and the switch selection state of the cable line structure in the distribution line, and determining the cable line connection type of the distribution line.
Preferably, the calculating the average power failure time of the target users of the park to be evaluated based on the wiring type and the line fault data comprises the following steps:
calculating the average power failure time of regional users of each power supply region by using a preset average power failure time calculation formula corresponding to the wiring type according to the line fault data;
and determining the average power failure time of the target user of the park to be evaluated according to the average power failure time of the regional users of each power supply region and the number of the wire connection users corresponding to each wire connection type.
Preferably, the method for calculating the average blackout time of the area users of each power supply area by using a preset average blackout time calculation formula corresponding to the connection type according to the line fault data comprises the following steps:
for each distribution line of each power supply area, calculating the average power failure time of line users of the distribution line by using a preset average power failure time calculation formula corresponding to the connection type of the distribution line;
and for each power supply area, calculating the average power failure time of the area users of the power supply area according to the average power failure time of the line users corresponding to each distribution line in the power supply area.
Preferably, the determining the average power failure time of the target user of the park to be evaluated according to the average power failure time of the regional users in each power supply region and the number of the wire connection users corresponding to each wire connection type includes:
calculating the average power failure time of regional users in each power supply region and the number of the wiring users corresponding to each wiring type by using a preset system power failure time calculation formula to obtain the average power failure time of target users in the park to be evaluated, wherein the system power failure time calculation formula is as follows:
wherein, SAIDITargetAverage power off time for target user, NRegion(s)For the number of supply areas, SAIDI, of the park to be assessedj(i) Average power-off time N for line users of distribution lines of j connection type in i power supply areaj(i) The number of the wiring users of the j connection type in the i power supply area.
Preferably, the determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user comprises the following steps:
calculating the power supply reliability of the park to be evaluated according to the average power failure time of the target user by using a preset power supply reliability calculation formula, wherein the preset power supply reliability calculation formula is as follows:
wherein，SAIDITargetFor the average power failure time of the target user, RS _1 is the power supply reliability.
Preferably, before acquiring the power distribution network topology and line fault data of each power supply area in the park to be evaluated, the method further comprises the following steps:
and according to the typical power supply area type, partitioning the park to be evaluated to obtain a plurality of power supply areas.
In a second aspect, the present application provides an evaluation apparatus for power distribution network power supply reliability, including:
the system comprises an acquisition module, a storage module and a management module, wherein the acquisition module is used for acquiring a power distribution network topological structure and line fault data of each power supply area in a park to be evaluated, and the power distribution network topological structure comprises an overhead line structure and a cable line structure;
the classification module is used for classifying the wiring modes of the distribution lines in each power supply area according to the overhead line structure and the cable line structure, and determining the wiring types of the distribution lines in each power supply area;
the calculation module is used for calculating the average power failure time of a target user of the park to be evaluated based on the wiring type and the line fault data;
and the determining module is used for determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user.
In a third aspect, the present application provides a computer device comprising a processor and a memory for storing a computer program, which when executed by the processor, implements the method for assessing the reliability of power supply to a power distribution network according to the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the method for evaluating reliability of power supply of a power distribution network according to the first aspect.
Please refer to the relevant description of the first aspect for the beneficial effects of the second to fourth aspects, which are not repeated herein.
Drawings
Fig. 1 is a schematic flowchart of a method for evaluating power distribution reliability of a power distribution network according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an industry standard computing network, shown in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an evaluation device for power distribution network power supply reliability according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
According to the conventional power distribution network power supply reliability evaluation method, a fault mode consequence analysis method or a minimum path analysis method is mainly used, a fault mode consequence analysis table or a minimum path analysis table is established according to detailed topological structures and equipment parameters of different power distribution networks, and reliability evaluation is carried out by combining analysis table data. However, the power distribution network in the campus is large in scale, the grid structure types are numerous, the equipment quantity is large, and the grid scale difference is large, so when power supply reliability evaluation is carried out based on detailed topology information of the power distribution network, the following difficulties are usually encountered:
(1) the power supply reliability evaluation lacks a standardized solving process, and a fault mode consequence analysis table or a minimum path analysis table needs to be reestablished aiming at the topological structures of different power distribution networks;
(2) the scale of the fault mode consequence analysis table or the minimum path analysis table changes along with the change of the power distribution network system to be evaluated, and when the scale of the power distribution network system to be evaluated is large, the establishment of the fault mode consequence analysis table or the minimum path analysis table is quite complex;
(3) the development of power supply reliability evaluation requires the collection of detailed topological structures and equipment parameters of the power distribution network, and brings great difficulty to the collection work. Meanwhile, the data entry work is very cumbersome and the maintenance workload is huge.
Therefore, the embodiment of the application provides an evaluation method for power supply reliability of a power distribution network, which is characterized in that the topological structure and line fault data of the power distribution network of each power supply area in a park to be evaluated are obtained, the wiring modes of each distribution line in each power supply area are classified according to the overhead line structure and the cable line structure, and the wiring type of each distribution line in each power supply area is determined, so that the detailed topological information required by the original method is simplified as long as the topological information of the overhead line and the cable line is used, the workload of data collection and entry can be reduced, the evaluation difficulty is reduced, and meanwhile, a standardized reliability evaluation method is established in the application to evaluate the power supply reliability of different power distribution networks; and calculating the average power failure time of the target user of the park to be evaluated based on the wiring type and the line fault data, and determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user so as to evaluate the power supply unreliability caused by power failure, thereby quantifying the power supply reliability of the park to be evaluated and providing an important measurement index for the power grid planning of the power distribution network of the park.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for evaluating power distribution reliability of a power distribution network according to an embodiment of the present disclosure. The method for evaluating the power supply reliability of the power distribution network can be applied to computer equipment, and the computer equipment comprises but is not limited to equipment such as a smart phone, a notebook computer, a tablet computer, a desktop computer, a physical server and a cloud server. It should be noted that, the power supply reliability evaluation method and device for the medium-voltage distribution network can evaluate the power supply reliability of the medium-voltage distribution network and can also evaluate the power supply reliability of other distribution networks.
As shown in fig. 1, the method for evaluating the power distribution reliability of the power distribution network of the present embodiment includes steps S101 to S104, which are detailed as follows:
step S101, acquiring a power distribution network topological structure and line fault data of each power supply area in a park to be evaluated, wherein the power distribution network topological structure comprises an overhead line structure and a cable line structure.
In this step, the topological structure includes topological connection relationships among element models such as an overhead line, a cable line, a distribution transformer, a circuit breaker, a load switch, a disconnecting switch, a fuse and the like, and is mainly embodied by a network model. It is understood that the present application requires only the topology of overhead lines and cable lines.
Optionally, the distribution line base parameter: line type, length, type, resistance per unit length, reactance, susceptance, and current carrying capacity. The line types are divided into an overhead insulated wire, an overhead bare wire and a cable. Parameters such as resistance, reactance, current-carrying capacity and the like of the line in unit length can be obtained through inquiring according to the type of the line. Since the susceptance effect is minimal, it is generally negligible.
Optionally, the line fault data stop comprises:
distribution line: failure outage rate, mean time to failure repair;
a distribution transformer: failure outage rate, mean time to failure repair;
disconnecting switch (knife): failure outage rate, average failure repair time, and average failure location isolation time;
circuit breaker, fuse: the failure outage rate, the mean failure recovery time, and the mean failure point upstream power restoration operation time;
a load switch: failure outage rate, mean failure repair time;
a communication switch: mean fault outage tie-in switch switching time.
Optionally, before acquiring the power distribution network topology and line fault data of each power supply area in the park to be evaluated, the method further includes: and according to the type of the typical power supply area, partitioning the park to be evaluated to obtain a plurality of power supply areas of the electric wires, namely the power supply areas in the step S101.
And S102, classifying the wiring modes of the distribution lines in each power supply area according to the overhead line structure and the cable line structure, and determining the wiring types of the distribution lines in each power supply area.
In this step, the wiring types include an overhead wiring type and a cable wiring type. For each typical power supply area, the medium voltage distribution network lines are subdivided into a plurality of typical wiring types, such as whether the lines are connected or not, and whether the switches are selective or not.
And step S103, calculating the average power failure time of the target users of the park to be evaluated based on the wiring type and the line fault data.
In the step, various main influence factors are comprehensively considered for various typical wiring types of various typical power supply areas, and the reliability indexes of the average power failure time of the users are respectively calculated. And according to the number of users connected with various typical wiring types in each typical power supply area, taking the ratio between the number of users and the total number of users in the area to be evaluated as weight to carry out weighted average so as to obtain the average power failure time SAIDI of the system user in the area to be evaluated, namely the average power failure time of the target user.
And step S104, determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user.
In this step, optionally, a preset power supply reliability calculation formula is used to calculate the power supply reliability of the to-be-evaluated park according to the average power failure time of the target user, where the preset power supply reliability calculation formula is:
wherein, SAIDITargetAnd for the average power failure time of the target user, Rs _1 is the power supply reliability.
In an embodiment, based on the embodiment shown in fig. 1, the step S102 includes:
for each distribution line in each power supply area, determining a line connection state and a switch selection state of an overhead line structure in the distribution line, and determining an overhead line connection type of the distribution line;
and for each distribution line in each power supply area, determining the line contact state and the switch selection state of a cable line structure in the distribution line, and determining the cable line connection type of the distribution line.
In this embodiment, according to the line connection status and the switch selection status of the overhead line structure, the overhead line connection types include overhead line connection with selective switch, overhead line connection with non-selective switch, overhead line single radiation with selective switch, and overhead line single radiation with non-selective switch. According to the circuit liaison state and the switch selection state of the cable circuit structure, the cable circuit wiring type comprises that the cable circuit has liaison and the switch is selective, the cable circuit has liaison and the switch is not selective, the cable circuit is single-radiated and the switch is selective, and the cable circuit is single-radiated and the switch is not selective. Wherein a single radiation indicates that the line is not connected.
In an embodiment, on the basis of the embodiment shown in fig. 1, the step S103 includes:
calculating the average power failure time of the area users of each power supply area by using a preset average power failure time calculation formula corresponding to the wiring type according to the line fault data;
and determining the average power failure time of the target user of the park to be evaluated according to the average power failure time of the regional users of each power supply region and the number of the wire connection users corresponding to each wire connection type.
In this embodiment, the average blackout time of the area users of each power supply area is determined according to each distribution line in each power supply area, and the average blackout time of the system users of the whole to-be-evaluated park is determined by using the average blackout time of the area users. The average power failure time is determined through the overhead line structure and the cable line structure, so that the problem of power supply stability caused by power failure can be considered, the power supply reliability is quantized, and the power supply reliability is evaluated.
Optionally, the calculating process of the average outage time of the area users includes:
for each distribution line of each power supply area, calculating the average power failure time of line users of the distribution line by using a preset average power failure time calculation formula corresponding to the connection type of the distribution line;
and for each power supply area, calculating the area user average power failure time of the power supply area according to the line user average power failure time corresponding to each distribution line in the power supply area.
In this alternative embodiment, illustratively, for the cable line connection type:
average power-off time of line users with communication and selective switch:
wherein L isThreadThe total length of the line; kMaster and slaveIs the main line in its total length LThreadThe ratio of (1); n is a radical ofSegment ofThe number of disjunction of the feeder line is; lambda [ alpha ]Therefore, it isIs the line failure rate; lambdaMeter for measuringPlanning outage rates for the lines; t is tHence cuttingTime for fault location, isolation and switching operations; t is tCutting gaugeIsolating and/or switching operation time for planned outages; t is tTherefore repairingMean time to repair line faults (not containing t)Hence cutting)；tStop meterMean time to outage (not containing t) for line planningCutting gauge)；λOpening deviceIs the switch failure rate; t is tOpen repairMean time to repair for sectionalizer fault (t not included)Therefore it is cut)；MSwitch (C)The number of switches in the cable ring main unit.
The average power failure time of line users with communication and non-selective switches:
thirdly, average power failure time of line users with single radiation and selective switches:
the average power failure time of the line users with single radiation and non-selective switches:
for the cable line connection type:
average power failure time of line users with interconnection and selective switch:
the average power failure time of line users with communication and non-selective switches:
thirdly, average power failure time of line users with single radiation and selective switches:
the average power failure time of the line user with single radiation and no switch selectivity:
optionally, the calculating of the average outage time of the target user includes:
calculating the average power failure time of the regional users in each power supply region and the number of the wire connection users corresponding to each wire connection type by using a preset system power failure time calculation formula to obtain the average power failure time of the target users in the to-be-evaluated park, wherein the system power failure time calculation formula is as follows:
wherein, SAIDITargetAverage power off time, N, for said target userRegion(s)Number of power supply areas, SAIDI, for said park to be assessedj(i) Average power failure time N of line users of the distribution line of the j connection type in the i power supply areaj(i) The number of the wiring users of the j connection type in the i power supply area.
By way of example, and not limitation, FIG. 2 illustrates an example network diagram of an industry standard DL/T1563. The evaluation method of the present application is compared with the industry standard by taking the network of fig. 2 as an example.
Row notation example network parameters:
row standard example network graph network reliability parameters:
row standard example network graph network reliability parameters:
| parameter name | Parameter value |
| Mean time between fault location and isolation h | 1 |
| Mean fault power failure tie switch switching time h | 0.05 |
| Mean fault point upstream restoration power operation time h | 0.3 |
According to the parameters, the row standard example is based on a detailed topological structure, fault mode consequence analysis and calculation of elements one by one are respectively adopted, a fault mode consequence analysis table is formed, and when the switch fault is ignored, the reliability evaluation result of the final row standard example network is shown in the table below.
Evaluation results of the row-standard example network:
| reliability index | Evaluation result of row symbol |
| Number of households in power failure (prearrangement) | 8.8980 Shi Hou |
| Number of households when power failure (failure) | 0.3232 Shi Kou |
| Number of households in power failure | 9.2212 Shi Kou |
| SAIDI－S | 1.7796h |
| SAIDI－F | 0.0646h |
| SAIDI | 1.8442h |
| ASAI | 99.8947％ |
From the above table, the network of the row standard example is calculated by the row standard analysis method, the number of the households (prearranged) in power failure is 8.8980 households, the number of the households (failure) in power failure is 0.3232 households, the number of the households in power failure is 9.2212 households, SAIDI-S is 1.7796h, SAIDI-F is 0.0646h, SAIDI is 1.8442h, and ASAI is 99.8947%. Wherein, the average prearranged power failure hours of the power supply system user in a unit year is recorded as SAIDI-S; the average failure power failure hours of a power supply system user in a unit year are recorded as SAIDI-F; the average power failure hours of a power supply system user in a unit year are recorded as SAIDI; the ratio of the expected value of the total hours of the effective power supply of the user to the total hours of the unit year in the unit year is recorded as ASAI.
According to the all-line approximate evaluation parameters in the table, the all-line parameters are processed according to the line length uniform segmentation and the user uniform distribution by using the method, and the all-line approximate evaluation result shown in the table can be obtained through evaluation.
| Reliability index | Full lineApproximate evaluation result |
| Number of households in power failure (prearrangement) | 8.9458 Shi Hou |
| Number of households (failure) during power failure | 0.3562 Shi Hou |
| Number of households in power failure | 9.3112 Shi Hou |
| SAIDI－S | 1.8996h |
| SAIDI－F | 0.0746h |
| SAIDI | 1.9042h |
| ASAI | 99.8962％ |
In order to execute the method for evaluating the power supply reliability of the power distribution network corresponding to the method embodiment, corresponding functions and technical effects are realized. Referring to fig. 3, fig. 3 is a block diagram illustrating a structure of an apparatus for evaluating power distribution reliability of a power distribution network according to an embodiment of the present application. For convenience of explanation, only the parts related to the present embodiment are shown, and the evaluation apparatus for power supply reliability of a power distribution network provided by the embodiment of the present application includes:
the acquisition module 301 is configured to acquire a power distribution network topology structure and line fault data of each power supply area in a campus to be evaluated, where the power distribution network topology structure includes an overhead line structure and a cable line structure;
a classification module 302, configured to classify connection modes of the distribution lines in each power supply area according to the overhead line structure and the cable line structure, and determine a connection type of each distribution line in each power supply area;
the calculating module 303 is configured to calculate an average power failure time of a target user in the campus to be evaluated based on the wiring type and the line fault data;
and the determining module 304 is configured to determine the power supply reliability of the campus to be evaluated according to the average power failure time of the target user.
In one embodiment, the classification module 302 includes:
a first determination unit, configured to determine, for each of the power distribution lines in each of the power supply areas, a line contact state and a switch selection state of an overhead line structure in the power distribution line, and determine an overhead line connection type of the power distribution line;
and the second determining unit is used for determining the line connection state and the switch selection state of the cable line structure in the distribution lines and determining the cable line connection type of the distribution lines for each distribution line in each power supply area.
In one embodiment, the calculating module 303 includes:
the first calculation unit is used for calculating the average power failure time of the area users of each power supply area by using a preset average power failure time calculation formula corresponding to the wiring type according to the line fault data;
and the third determining unit is used for determining the average power failure time of the target user of the park to be evaluated according to the average power failure time of the regional user of each power supply region and the number of the wire connection users corresponding to each wire connection type.
Preferably, the first calculation unit includes:
the first calculating subunit is used for calculating the average power failure time of line users of each distribution line of each power supply area by using a preset average power failure time calculation formula corresponding to the connection type of the distribution line;
and the second calculating subunit is configured to calculate, for each power supply area, the area user average power outage time of the power supply area according to the line user average power outage time corresponding to each distribution line in the power supply area.
Preferably, the third determining unit includes:
the operation subunit is configured to calculate, by using a preset system power outage time calculation formula, the average power outage time of the area users in each power supply area and the number of the wire connection users corresponding to each wire connection type to obtain the average power outage time of the target user in the to-be-evaluated park, where the system power outage time calculation formula is:
wherein, SAIDITargetAverage power off time for said target user, NRegion(s)Number of power supply areas, SAIDI, for said park to be assessedj(i) Average power failure time N of line users of the distribution line of the j connection type in the i power supply areaj(i) The number of the wiring users of the j wiring type in the ith power supply area.
Preferably, the determining module 304 includes:
the second calculation unit is used for calculating the power supply reliability of the to-be-evaluated park according to the average power failure time of the target user by using a preset power supply reliability calculation formula, wherein the preset power supply reliability calculation formula is as follows:
wherein, SAIDITargetAnd RS _1 is the power supply reliability for the average power failure time of the target user.
Preferably, the evaluation device further includes:
and the partitioning module is used for partitioning the park to be evaluated according to the type of a typical power supply area to obtain a plurality of power supply areas.
The evaluation device for the power distribution network power supply reliability can implement the evaluation method for the power distribution network power supply reliability of the method embodiment. The alternatives in the above-described method embodiments are also applicable to this embodiment and will not be described in detail here. The rest of the embodiments of the present application may refer to the contents of the above method embodiments, and in this embodiment, details are not described again.
Fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 4, the computer device 4 of this embodiment includes: at least one processor 40 (only one shown in fig. 4), a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, the processor 40 implementing the steps of any of the method embodiments described above when executing the computer program 42.
The computer device 4 may be a computing device such as a smart phone, a tablet computer, a desktop computer, and a cloud server. The computer device may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of the computer device 4 and does not constitute a limitation of the computer device 4, and may include more or less components than those shown, or combine certain components, or different components, such as input output devices, network access devices, etc.
The Processor 40 may be a Central Processing Unit (CPU), and the Processor 40 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may in some embodiments be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. The memory 41 may also be an external storage device of the computer device 4 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the computer device 4. The memory 41 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 41 may also be used to temporarily store data that has been output or is to be output.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in any of the method embodiments described above.
The embodiments of the present application provide a computer program product, which when executed on a computer device, enables the computer device to implement the steps in the above method embodiments.
In several embodiments provided herein, it will be understood that each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are further detailed to explain the objects, technical solutions and advantages of the present application, and it should be understood that the above-mentioned embodiments are only examples of the present application and are not intended to limit the scope of the present application. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the present application, may occur to those skilled in the art and are intended to be included within the scope of the present application.
Claims (10)
1. A method for evaluating power supply reliability of a power distribution network is characterized by comprising the following steps:
acquiring a power distribution network topological structure and line fault data of each power supply area in a park to be evaluated, wherein the power distribution network topological structure comprises an overhead line structure and a cable line structure;
classifying the wiring modes of the distribution lines in each power supply area according to the overhead line structure and the cable line structure, and determining the wiring types of the distribution lines in each power supply area;
calculating the average power failure time of the target user of the park to be evaluated based on the wiring type and the line fault data;
and determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user.
2. The evaluation method of claim 1, wherein the classifying the connection patterns of the respective distribution lines in each of the power supply areas according to the overhead line configuration and the cable line configuration to determine the connection types of the respective distribution lines in each of the power supply areas comprises:
for each distribution line in each power supply area, determining a line contact state and a switch selection state of an overhead line structure in the distribution line, and determining an overhead line connection type of the distribution line;
and for each distribution line in each power supply area, determining the line contact state and the switch selection state of a cable line structure in the distribution line, and determining the cable line connection type of the distribution line.
3. The evaluation method of claim 1, wherein said calculating an average outage time for a target customer of the campus to be evaluated based on the wiring type and the line fault data comprises:
calculating the average power failure time of the area users of each power supply area by using a preset average power failure time calculation formula corresponding to the wiring type according to the line fault data;
and determining the average power failure time of the target user of the park to be evaluated according to the average power failure time of the regional users of each power supply region and the number of the wire connection users corresponding to each wire connection type.
4. The evaluation method according to claim 3, wherein said calculating an area user average blackout time for each of said power supply areas using a preset average blackout time calculation formula corresponding to said connection type based on said line fault data comprises:
for each distribution line of each power supply area, calculating the average power failure time of line users of the distribution line by using a preset average power failure time calculation formula corresponding to the connection type of the distribution line;
and for each power supply area, calculating the area user average power failure time of the power supply area according to the line user average power failure time corresponding to each distribution line in the power supply area.
5. The assessment method according to claim 3, wherein the determining the average outage time of the target users of the campus to be assessed according to the average outage time of the regional users of each power supply region and the number of the wire connection users corresponding to each wire connection type comprises:
calculating the average power failure time of the regional users in each power supply region and the number of the wire connection users corresponding to each wire connection type by using a preset system power failure time calculation formula to obtain the average power failure time of the target users in the to-be-evaluated park, wherein the system power failure time calculation formula is as follows:
wherein, SAIDITargetAverage power off time for said target user, NRegion(s)Number of power supply areas, SAIDI, for the park to be assessedj(i) Average power-off time N for line users of distribution lines of j connection type in i power supply areaj(i) The number of the wiring users of the j connection type in the i power supply area.
6. The assessment method according to claim 1, wherein said determining the power supply reliability of the campus to be assessed based on the target user average blackout time comprises:
calculating the power supply reliability of the park to be evaluated according to the average power failure time of the target user by using a preset power supply reliability calculation formula, wherein the preset power supply reliability calculation formula is as follows:
wherein, SAIDITargetAnd RS _1 is the power supply reliability for the average power failure time of the target user.
7. The evaluation method according to claim 1, wherein before the obtaining of the power distribution network topology and line fault data of each power supply area in the campus to be evaluated, the method further comprises:
and according to the type of a typical power supply area, partitioning the park to be evaluated to obtain a plurality of power supply areas.
8. An assessment device for power distribution network power supply reliability is characterized by comprising:
the system comprises an acquisition module, a storage module and a management module, wherein the acquisition module is used for acquiring a power distribution network topological structure and line fault data of each power supply area in a park to be evaluated, and the power distribution network topological structure comprises an overhead line structure and a cable line structure;
the classification module is used for classifying the wiring modes of the distribution lines in each power supply area according to the overhead line structure and the cable line structure, and determining the wiring types of the distribution lines in each power supply area;
the calculation module is used for calculating the average power failure time of the target user of the park to be evaluated based on the wiring type and the line fault data;
and the determining module is used for determining the power supply reliability of the park to be evaluated according to the average power failure time of the target user.
9. A computer arrangement, characterized in that it comprises a processor and a memory for storing a computer program which, when executed by the processor, implements the method for assessing the reliability of the power supply of an electric distribution network according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when being executed by a processor, implements the method for assessing the reliability of the power supply of an electrical distribution network according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117293827A (en) * | 2023-11-27 | 2023-12-26 | 国网天津市电力公司城南供电分公司 | Wiring mode scale configuration method and system integrating snowflake network and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117293827A (en) * | 2023-11-27 | 2023-12-26 | 国网天津市电力公司城南供电分公司 | Wiring mode scale configuration method and system integrating snowflake network and electronic equipment |
| CN117293827B (en) * | 2023-11-27 | 2024-03-19 | 国网天津市电力公司城南供电分公司 | Wiring mode scale configuration method and system integrating snowflake network and electronic equipment |
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