CN110932272A - Three-remote power distribution terminal optimal configuration method - Google Patents

Three-remote power distribution terminal optimal configuration method Download PDF

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Publication number
CN110932272A
CN110932272A CN201911284046.XA CN201911284046A CN110932272A CN 110932272 A CN110932272 A CN 110932272A CN 201911284046 A CN201911284046 A CN 201911284046A CN 110932272 A CN110932272 A CN 110932272A
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fault
power
isolation
minimum
time
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Inventor
张翔
黄文灏
张智敏
雷玉明
施生壮
余世霖
林超勇
蓝伟
王潇倩
林纪灿
赖仕达
夏晓锋
陈志航
连香女
吴莎莎
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State Grid Fujian Electric Power Co Ltd
Sanming Power Supply Co of State Grid Fujian Electric Power Co Ltd
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State Grid Fujian Electric Power Co Ltd
Sanming Power Supply Co of State Grid Fujian Electric Power Co Ltd
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Priority to CN201911284046.XA priority Critical patent/CN110932272A/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems 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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  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to an optimal configuration method of a three-remote power distribution terminal, which comprises the steps of firstly extracting power distribution network data, equipment parameters and equipment fault information, and summarizing net rack information; then constructing a power supply reliability model of the power distribution network; then, according to a preset power supply reliability target and a constructed power supply reliability model, selecting the configuration number of the three remote terminals capable of achieving the power supply reliability target; and finally, building a three-remote terminal configuration yield ratio model, and selecting a three-remote terminal configuration scheme with the highest yield ratio as an optimal three-remote terminal configuration scheme on the premise of meeting the power supply reliability target. The invention comprehensively considers the reliability and the economy of power supply, thereby being capable of selecting the optimal three-remote terminal configuration scheme.

Description

Three-remote power distribution terminal optimal configuration method
Technical Field
The invention relates to the technical field of power supply optimization of a power distribution network, in particular to an optimal configuration method of a three-remote power distribution terminal.
Background
The basic task of a power distribution system is to distribute power to various users as economically and reliably as possible, and power distribution automation is a powerful guarantee for providing safe and reliable power supply and high-quality and efficient power supply service.
In recent years, with the increasing of the construction investment of power distribution networks in China, the power distribution automation is remarkably developed. The core of distribution automation is feeder automation, automatic terminal equipment is configured on a traditional feeder switch, fault identification, fault area isolation and regional power supply recovery of a distribution line are facilitated, reliability of power supply is greatly improved, and the method is an important measure for realizing distribution automation.
The three-remote terminal has the functions of remote measurement, remote signaling and remote control, and compared with a one-remote terminal and a two-remote terminal, the three-remote terminal has more obvious improvement on the power supply reliability of a power distribution network and is important terminal equipment for realizing power distribution automation. However, the investment cost of the three-remote terminal equipment is high, and the three-remote terminal equipment is not suitable for the full-line configuration of the distribution line, so that the installation quantity and the installation position of the three-remote terminal are selectively and optimally configured, the power supply reliability of the distribution line can be ensured, and meanwhile, the high investment benefit of the distribution automation can be obtained.
The power supply reliability and economy are key metrics of the configuration of the three-remote terminal. The existing power distribution network three-remote terminal configuration scheme has the problems that the configuration scheme cannot obviously promote the power supply reliability of the power distribution network, the three-remote terminals are configured blindly to improve the power supply reliability and ignore economic benefits, or the three-remote terminals are configured blindly to improve the economic benefits and ignore the power supply reliability, and the like, and the important function of the three-remote terminal on the power distribution automation cannot be reasonably and effectively played. Meanwhile, in the existing method, no filtering algorithm is designed for the initial arrangement scheme of the terminal, which leads to complex calculation of power supply reliability and large workload.
Disclosure of Invention
In view of this, the present invention provides an optimal configuration method for three remote power distribution terminals, which comprehensively considers the reliability and economy of power supply, so as to select an optimal configuration scheme for three remote power distribution terminals.
The invention is realized by adopting the following scheme: a three-remote power distribution terminal optimal configuration method specifically comprises the following steps:
step S1: extracting distribution network data, equipment parameters and equipment fault information, and summarizing the network frame information;
step S2: constructing a power supply reliability model of the power distribution network;
step S3: selecting the configuration quantity of the three remote terminals capable of achieving the power supply reliability target according to a preset power supply reliability target and a constructed power supply reliability model;
step S4: and constructing a three-remote terminal configuration yield ratio model, and selecting a three-remote terminal configuration scheme for obtaining the highest yield ratio as an optimal three-remote terminal configuration scheme on the premise of meeting a power supply reliability target.
Further, the step S1 specifically includes the following steps:
step S11: according to the data and the equipment parameters of the power distribution network, the power distribution network is divided into 4 sections, which are respectively as follows: the minimum fault is divided into a section, a minimum fault searching section and a sound section;
the minimum fault subsection is formed by surrounding a switch node, a power distribution terminal and a tip point, and sub-graphs of the switch node and the power distribution terminal are not included any more;
the minimum fault finding section is formed by surrounding a power distribution terminal and a tip point, and sub-images of the power distribution terminal are not included any more;
the minimum fault searching section is formed by enclosing a switch node and a tip point, and does not contain a sub-graph of the switch node;
the healthy section refers to a section which is not in fault;
step S12: when the xsmallest fault partition equipment fails, performing fault processing;
step S13: according to the configuration type, the switch type, the equipment fault rate and the length of a lead of the power distribution terminal, determining the initial fault isolation power failure time t of the xth minimum fault partition1xTroubleshooting power off time t2xAccurate fault isolation power failure time t3xFault repairing power off time t4xAnd the power failure time t of the operation mode before the fault is recovered5x。
Further, the process of fault handling in step S12 specifically includes the following five stages:
a primary fault isolation stage: after a line protection action is triggered when a fault occurs, confirming a fault section according to fault study and judgment information of a power distribution automation system and acquisition system information, preliminarily isolating the fault, and recovering power supply to a part of sound sections;
and (3) fault finding stage: confirming the specific occurrence position of the fault;
and (3) fault accurate isolation stage: after the specific position of the fault is determined, the fault is accurately isolated in the minimum fault isolation area, and the power supply of the remaining sound area is recovered;
and (3) fault repairing stage: repairing the fault;
and recovering the operation mode before the fault: and after the fault line is repaired, the operation mode before the fault is recovered.
Preferably, the preliminary fault isolation stage and the precise fault isolation stage include distinguishing recoverable power supply areas and non-recoverable power supply areas according to grid structure characteristics, and combining load flow calculation and load transfer path analysis to recover power supply to the recoverable power supply areas.
Through the section division in the first step and the fault processing process in the second step, the number of power failure users in 5 fault processing stages can be obtained as follows:
h1x＝(hx+hx protection),h2x＝h3x＝(hx+hx preliminary isolation),h4x＝h5x＝(hx+hx precise isolation)
Further, in step S2, the power distribution network power supply reliability model is:
Figure BDA0002317524680000041
in the formula (ASAI-1)3For the power supply reliability rate of the distribution line behind the three-remote terminal configured when the system power supply is insufficient and the power is limited, (SAIDI-1)3Configuring the average power failure time of the terminal in the next year, wherein f is the annual fault rate of the line, HSTotal xHS for total power outage after permanent failure of minimum failure subsection x0When representing planned electricity outage of the user in year, t1xFor preliminary fault isolation of blackout time, t2xTo find out the blackout time, t, for a fault3xFor precise fault isolation of blackout time, t4xFor fault repair of power-off time, t5xTo restore the pre-fault operating mode blackout time,/xThe length of the xth minimum fault partition of the line, H is the total number of the feeder line users, n is the total number of the minimum fault partitions, HxNumber of users of the xth minimum fault partition, hx protectionTotal number of power-off households h for protecting action in sound subareasx preliminary isolationTotal number of power off households h for sound subareas after primary fault isolationx precise isolationThe total number of power failure households of a sound subarea after the fault minimum power failure section is isolated; the power distribution network power supply reliability model considers the condition that a distribution line is only provided with three remote terminals, and other types of power distribution terminals are not provided.
Further, in step S4, the revenue ratio model configured by the three-remote terminal is:
Figure BDA0002317524680000051
in the formula, CcbConfiguring revenue ratio for three remote terminals, BfFor annual economic benefits, CzFor average annual input cost, Δ (SAIDI-1) is the average annual outage time reduction of the line, DfFor unit electricity price, α is discount year, P is line load, f is line year fault rate, n is minimum fault zone total number, lxFor the xth minimum fault zone length of the line, hxNumber of users of the xth minimum fault partition, hx protectionTotal number of power-off households h for protecting action in sound subareasx preliminary isolationTotal number of power off households h for sound subareas after primary fault isolationx precise isolationTotal number of blackout households, t ', for sound zone after isolation of faulted minimum blackout zone'1x、t′2x、t′3x、t′4x、t′5xRespectively carrying out primary fault isolation power failure time after the device fault in the xth minimum fault partition which is not configured with the three remote terminals, fault finding power failure time, fault accurate isolation power failure time, fault repairing power failure time, operation mode power failure time before fault recovery, and t1x、t2x、t3x、t4x、t5xRespectively configuring initial fault isolation power off time after the X minimum fault partition of the three remote terminals, fault finding power off time, accurate fault isolation power off time, fault repairing power off time, power off time of operation mode before fault recovery, and cbThe annual operation maintenance cost accounts for the percentage of the initial investment value, rho is the social depreciation rate, C0For initial investment cost, H is the total number of subscribers (SAIDI-1)0Indicating the average annual outage time before terminal configuration, (SAIDI-1)3And the average power failure time of the terminal in the next year is shown.
Wherein, in the model of the revenue ratio configured by the three remote terminals, the annual average investment cost CZTo an initial investment cost C0And the sum of the annual maintenance costs, the calculation formula is as follows:
Figure BDA0002317524680000061
the increase of the power supply reliability shortens the system power failure time, thereby increasing the power selling amount, wherein the system power failure time shortening amount delta (SAIDI-1) is as follows:
Figure BDA0002317524680000062
in the formula (SAIDI-1)0The terminal is configured with the average annual outage time before. Economic benefit BfThe increase of the electricity selling income before and after the distribution automation is evaluated, and the calculation formula is as follows:
Figure BDA0002317524680000063
compared with the prior art, the invention has the following beneficial effects: according to the method, firstly, the power supply reliability is taken as a constraint condition, the configuration scheme of the three-remote terminal is preliminarily selected, the subsequent calculation workload is reduced, a model of the configuration profit ratio of the three-remote terminal is further built, the profit ratio is taken as a reference index, and the economy of different configuration schemes is more accurately weighed, so that the optimal configuration scheme of the three-remote terminal is selected, the configuration optimization of the three-remote terminal comprehensively considering the power supply reliability and the economy is realized, and the important effect of the three-remote terminal on the power distribution automation is reasonably and effectively exerted. Meanwhile, the method simplifies the calculation process, is convenient to use and has high engineering practical value.
Drawings
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a typical structure of a 10kV overhead power distribution network according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of specific segment division of a typical structure of a 10kV overhead power distribution network according to an embodiment of the present invention. Wherein A) is a minimum fault subsection, B) is a minimum fault isolation section, and C) is a minimum fault finding section.
Fig. 4 is a schematic diagram of a permanent fault processing flow according to an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, the present embodiment provides an optimal configuration method for a three-remote power distribution terminal, which specifically includes the following steps:
step S1: extracting distribution network data, equipment parameters and equipment fault information, and summarizing the network frame information; basic data are imported from a Geographic Information System (GIS), a Production Management System (PMS), a data acquisition and monitoring System (SCADA) and a Distribution Automation System (DAS) and extracted, and the obtained schematic diagram of the typical structure of the 10kV overhead power distribution network is shown in FIG. 2;
step S2: constructing a power supply reliability model of the power distribution network;
step S3: selecting the configuration quantity of the three remote terminals capable of achieving the power supply reliability target according to a preset power supply reliability target and a constructed power supply reliability model;
step S4: and constructing a three-remote terminal configuration yield ratio model, and selecting a three-remote terminal configuration scheme for obtaining the highest yield ratio as an optimal three-remote terminal configuration scheme on the premise of meeting a power supply reliability target.
In this embodiment, the step S1 specifically includes the following steps:
step S11: according to the data and the equipment parameters of the power distribution network, the power distribution network is divided into 4 sections, which are respectively as follows: the minimum fault is divided into a section, a minimum fault searching section and a sound section;
the minimum fault subsection is formed by surrounding a switch node, a power distribution terminal and a tip point, and sub-graphs of the switch node and the power distribution terminal are not included any more;
the minimum fault finding section is formed by surrounding a power distribution terminal and a tip point, and sub-images of the power distribution terminal are not included any more;
the minimum fault searching section is formed by enclosing a switch node and a tip point, and does not contain a sub-graph of the switch node;
the healthy section refers to a section which is not in fault;
the partition division of the embodiment is shown in detail in fig. 3, which is a schematic diagram of a specific partition division of a typical structure of a 10kV overhead power distribution network;
step S12: when the xsmallest fault partition equipment fails, performing fault processing;
step S13: determining the x-th minimum fault zone according to the distribution terminal configuration type, switch type, equipment fault rate and conductor lengthInitial fault isolation power off time t1xTroubleshooting power off time t2xAccurate fault isolation power failure time t3xFault repairing power off time t4xAnd the power failure time t of the operation mode before the fault is recovered5x。
In the present embodiment, the failure processing in step S12 specifically includes five stages, as shown in fig. 4:
a primary fault isolation stage: after a line protection action is triggered when a fault occurs, confirming a fault section according to fault study and judgment information of a power distribution automation system and acquisition system information, preliminarily isolating the fault, and recovering power supply to a part of sound sections;
and (3) fault finding stage: confirming the specific occurrence position of the fault;
and (3) fault accurate isolation stage: after the specific position of the fault is determined, the fault is accurately isolated in the minimum fault isolation area, and the power supply of the remaining sound area is recovered;
and (3) fault repairing stage: repairing the fault;
and recovering the operation mode before the fault: and after the fault line is repaired, the operation mode before the fault is recovered.
The primary fault isolation stage and the precise fault isolation stage comprise the steps of distinguishing recoverable power supply areas and non-recoverable power supply areas according to grid structure characteristics, and combining load flow calculation and load transfer path analysis to recover power supply to the recoverable power supply areas.
Through the section division in the first step and the fault processing process in the second step, the number of power failure users in 5 fault processing stages can be obtained as follows:
h1x＝(hx+hx protection),h2x＝h3x＝(hx+hx preliminary isolation),h4x＝h5x＝(hx+hx precise isolation)
In this embodiment, in step S2, the power distribution network power supply reliability model is:
Figure BDA0002317524680000101
in the formula (ASAI-1)3For the power supply reliability rate of the distribution line behind the three-remote terminal configured when the system power supply is insufficient and the power is limited, (SAIDI-1)3Configuring the average power failure time of the terminal in the next year, wherein f is the annual fault rate of the line, HSTotal xHS for total power outage after permanent failure of minimum failure subsection x0When representing planned electricity outage of the user in year, t1xFor preliminary fault isolation of blackout time, t2xTo find out the blackout time, t, for a fault3xFor precise fault isolation of blackout time, t4xFor fault repair of power-off time, t5xTo restore the pre-fault operating mode blackout time,/xThe length of the xth minimum fault partition of the line, H is the total number of the feeder line users, n is the total number of the minimum fault partitions, HxNumber of users of the xth minimum fault partition, hx protectionTotal number of power-off households h for protecting action in sound subareasx preliminary isolationTotal number of power off households h for sound subareas after primary fault isolationx precise isolationThe total number of power failure households of a sound subarea after the fault minimum power failure section is isolated; the power distribution network power supply reliability model considers the condition that a distribution line is only provided with three remote terminals, and other types of power distribution terminals such as a first remote terminal and a second remote terminal are not provided.
In this embodiment, in step S4, the revenue ratio model configured by the three-remote terminal is:
Figure BDA0002317524680000102
in the formula, CcbConfiguring revenue ratio for three remote terminals, BfFor annual economic benefits, CzFor average annual input cost, Δ (SAIDI-1) is the average annual outage time reduction of the line, DfFor unit electricity price, α is discount year, P is line load, f is line year fault rate, n is minimum fault zone total number, lxFor the xth minimum fault zone length of the line, hxNumber of users of the xth minimum fault partition, hx protectionTotal number of power-off households h for protecting action in sound subareasx preliminary isolationAfter preliminary isolation for faultHealthy zoning power failure total number of households, hx precise isolationTotal number of blackout households, t ', for sound zone after isolation of faulted minimum blackout zone'1x、t′2x、t′3x、t′4x、t′5xRespectively carrying out primary fault isolation power failure time after the device fault in the xth minimum fault partition which is not configured with the three remote terminals, fault finding power failure time, fault accurate isolation power failure time, fault repairing power failure time, operation mode power failure time before fault recovery, and t1x、t2x、t3x、t4x、t5xRespectively configuring initial fault isolation power off time after the X minimum fault partition of the three remote terminals, fault finding power off time, accurate fault isolation power off time, fault repairing power off time, power off time of operation mode before fault recovery, and cbThe annual operation maintenance cost accounts for the percentage of the initial investment value, rho is the social depreciation rate, C0For initial investment cost, H is the total number of subscribers (SAIDI-1)0Indicating the average annual outage time before terminal configuration, (SAIDI-1)3And the average power failure time of the terminal in the next year is shown.
Wherein, in the model of the revenue ratio configured by the three remote terminals, the annual average investment cost CZTo an initial investment cost C0And the sum of the annual maintenance costs, the calculation formula is as follows:
Figure BDA0002317524680000111
the increase of the power supply reliability shortens the system power failure time, thereby increasing the power selling amount, wherein the system power failure time shortening amount delta (SAIDI-1) is as follows:
Figure BDA0002317524680000112
in the formula (SAIDI-1)0The terminal is configured with the average annual outage time before. Economic benefit BfThe increase of the electricity selling income before and after the distribution automation is evaluated, and the calculation formula is as follows:
Figure BDA0002317524680000121
as will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is directed to preferred embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow. However, any simple modification, equivalent change and modification of the above embodiments according to the technical essence of the present invention are within the protection scope of the technical solution of the present invention.

Claims (5)

1. A three-remote power distribution terminal optimal configuration method is characterized by comprising the following steps:
step S1: extracting distribution network data, equipment parameters and equipment fault information, and summarizing the network frame information;
step S2: constructing a power supply reliability model of the power distribution network;
step S3: selecting the configuration quantity of the three remote terminals capable of achieving the power supply reliability target according to a preset power supply reliability target and a constructed power supply reliability model;
step S4: and constructing a three-remote terminal configuration yield ratio model, and selecting a three-remote terminal configuration scheme for obtaining the highest yield ratio as an optimal three-remote terminal configuration scheme on the premise of meeting a power supply reliability target.
2. The method of claim 1, wherein the step S1 specifically includes the following steps:
step S11: according to the data and the equipment parameters of the power distribution network, the power distribution network is divided into 4 sections, which are respectively as follows: the minimum fault is divided into a section, a minimum fault searching section and a sound section;
the minimum fault subsection is formed by surrounding a switch node, a power distribution terminal and a tip point, and sub-graphs of the switch node and the power distribution terminal are not included any more;
the minimum fault finding section is formed by surrounding a power distribution terminal and a tip point, and sub-images of the power distribution terminal are not included any more;
the minimum fault searching section is formed by enclosing a switch node and a tip point, and does not contain a sub-graph of the switch node;
the healthy section refers to a section which is not in fault;
step S12: when the xsmallest fault partition equipment fails, performing fault processing;
step S13: according to the configuration type, the switch type, the equipment fault rate and the length of a lead of the power distribution terminal, determining the initial fault isolation power failure time t of the xth minimum fault partition1xTroubleshooting power off time t2xAccurate fault isolation power failure time t3xFault repairing power off time t4xAnd the power failure time t of the operation mode before the fault is recovered5x。
3. The method according to claim 2, wherein the process of processing the fault in step S12 includes the following five stages:
a primary fault isolation stage: after a line protection action is triggered when a fault occurs, confirming a fault section according to fault study and judgment information of a power distribution automation system and acquisition system information, preliminarily isolating the fault, and recovering power supply to a part of sound sections;
and (3) fault finding stage: confirming the specific occurrence position of the fault;
and (3) fault accurate isolation stage: after the specific position of the fault is determined, the fault is accurately isolated in the minimum fault isolation area, and the power supply of the remaining sound area is recovered;
and (3) fault repairing stage: repairing the fault;
and recovering the operation mode before the fault: and after the fault line is repaired, the operation mode before the fault is recovered.
4. The method of claim 1, wherein in step S2, the power reliability model of the distribution network is:
Figure FDA0002317524670000031
in the formula (ASAI-1)3For the power supply reliability rate of the distribution line behind the three-remote terminal configured when the system power supply is insufficient and the power is limited, (SAIDI-1)3Configuring the average power failure time of the terminal in the next year, wherein f is the annual fault rate of the line, HSTotal xHS for total power outage after permanent failure of minimum failure subsection x0When representing planned electricity outage of the user in year, t1xFor preliminary fault isolation of blackout time, t2xTo find out the blackout time, t, for a fault3xFor precise fault isolation of blackout time, t4xFor fault repair of power-off time, t5xTo restore the pre-fault operating mode blackout time,/xThe length of the xth minimum fault partition of the line, H is the total number of the feeder line users, n is the total number of the minimum fault partitions, HxNumber of users of the xth minimum fault partition, hx protectionTotal number of power-off households h for protecting action in sound subareasx preliminary isolationTotal number of power off households h for sound subareas after primary fault isolationx precise isolationThe total number of power failure households of a sound subarea after the fault minimum power failure section is isolated; the power distribution network power supply reliability model considers the condition that a distribution line is only provided with three remote terminals, and other types of power distribution terminals are not provided.
5. The method of claim 1, wherein in step S4, the revenue ratio model for the configuration of the three remote terminals is:
Figure FDA0002317524670000032
in the formula, CcbConfiguring revenue ratio for three remote terminals, BfFor annual economic benefits, CzFor average annual input cost, Δ (SAIDI-1) is the average annual outage time reduction of the line, DfIs a unit ofElectricity price, α years of discount, P line load, f line year fault rate, n minimum total number of fault zones, lxFor the xth minimum fault zone length of the line, hxNumber of users of the xth minimum fault partition, hx protectionTotal number of power-off households h for protecting action in sound subareasx preliminary isolationTotal number of power off households h for sound subareas after primary fault isolationx precise isolationTotal number of blackout households, t ', for sound zone after isolation of faulted minimum blackout zone'1x、t'2x、t'3x、t'4x、t'5xRespectively carrying out primary fault isolation power failure time after the device fault in the xth minimum fault partition which is not configured with the three remote terminals, fault finding power failure time, fault accurate isolation power failure time, fault repairing power failure time, operation mode power failure time before fault recovery, and t1x、t2x、t3x、t4x、t5xRespectively configuring initial fault isolation power off time after the X minimum fault partition of the three remote terminals, fault finding power off time, accurate fault isolation power off time, fault repairing power off time, power off time of operation mode before fault recovery, and cbThe annual operation maintenance cost accounts for the percentage of the initial investment value, rho is the social depreciation rate, C0For initial investment cost, H is the total number of subscribers (SAIDI-1)0Indicating the average annual outage time before terminal configuration, (SAIDI-1)3And the average power failure time of the terminal in the next year is shown.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104376376A (en) * 2014-11-06 2015-02-25 国家电网公司 Optimal configuration method for power distribution automatic terminal type
US20150058272A1 (en) * 2012-03-26 2015-02-26 Nec Corportion Event correlation detection system
CN106887839A (en) * 2017-03-09 2017-06-23 天津大学 The distribution terminal of the consideration information wrong influence of link data transfer is layouted optimization method
CN108229863A (en) * 2018-03-01 2018-06-29 福建永福电力设计股份有限公司 A kind of power distribution network power supply reliability computational methods
CN109146124A (en) * 2018-06-27 2019-01-04 国家电网有限公司 A kind of distribution terminal transformation decision-making technique based on time-varying crash rate

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150058272A1 (en) * 2012-03-26 2015-02-26 Nec Corportion Event correlation detection system
CN104376376A (en) * 2014-11-06 2015-02-25 国家电网公司 Optimal configuration method for power distribution automatic terminal type
CN106887839A (en) * 2017-03-09 2017-06-23 天津大学 The distribution terminal of the consideration information wrong influence of link data transfer is layouted optimization method
CN108229863A (en) * 2018-03-01 2018-06-29 福建永福电力设计股份有限公司 A kind of power distribution network power supply reliability computational methods
CN109146124A (en) * 2018-06-27 2019-01-04 国家电网有限公司 A kind of distribution terminal transformation decision-making technique based on time-varying crash rate

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
何松生: "兼顾可靠性和经济性的配电终端规划设计方法", 《电气应用》 *

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