CN110661341A - Distributed distribution network terminal - Google Patents

Distributed distribution network terminal Download PDF

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Publication number
CN110661341A
CN110661341A CN201910984862.5A CN201910984862A CN110661341A CN 110661341 A CN110661341 A CN 110661341A CN 201910984862 A CN201910984862 A CN 201910984862A CN 110661341 A CN110661341 A CN 110661341A
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Prior art keywords
node
distribution network
network terminal
distributed
distributed distribution
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张长祥
余洋
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Jiayuan Technology Co Ltd
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Jiayuan Technology Co Ltd
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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
    • 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
    • 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
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol

Abstract

The application relates to a distribution network terminal, its characterized in that divides the whole network into a plurality of independent autonomous regions, sets up the independence in every autonomous region distribution network terminal, it includes: the monitoring system comprises an acquisition module, communication equipment, a monitoring host and a UPS (uninterrupted power supply); the acquisition module is used for acquiring site information of monitored equipment in the autonomous region and uploading the site information to the monitoring host; the communication equipment is used for connecting distributed distribution network terminals in other autonomous regions through the Internet of things; the monitoring host is used for judging the site information in the local autonomous region collected by the acquisition module and the site information of other autonomous regions collected by the communication equipment according to formulated fault processing logic and intelligently deciding the switching action in the local region, and comprises a coordination module used for realizing the coordinated automatic control of the distributed distribution network terminals in the multiple autonomous regions; and the UPS is used for supplying power to the acquisition module, the communication equipment and the monitoring host.

Description

Distributed distribution network terminal
Technical Field
The application relates to the technical field of the next generation information network industry, in particular to a distributed distribution network terminal.
Background
The distributed distribution network terminal is an important component of the construction of a distribution automation system, and has the functions of multi-line real-time data monitoring, fault detection, fault area positioning, isolation, non-fault area power restoration and the like. The terminal comprises a station terminal (DTU), a Feeder Terminal (FTU) and a distribution Transformer Terminal (TTU), is wide in application and is particularly suitable for a 10kV medium-voltage distribution control system.
The implementation of distribution automation is a demand for the development of power systems, and Feeder Automation (FA) technology is a core technology of distribution network automation. Feeder automation is a direct and effective technical means and important guarantee for improving power supply reliability and reducing power supply loss of a power distribution network, and is a key point for construction and transformation of the power distribution network. Feeder automation can make the electric wire netting operation more intelligent to satisfy distribution automation's development requirement step by step. Feeder automation is the inevitable trend of power system modernization, when joining in marriage the net and break down, can find out the fault area fast, the automatic fault area of isolating, in time resume non-fault area user's power supply, has consequently shortened user's power failure time, has reduced the power failure area, has improved the power supply reliability. The feeder automation can monitor the running states of the power distribution network and the equipment thereof in real time, and provides a basis for further strengthening the construction of the power distribution network and gradually realizing the distribution automation. Feeder automation is mainly realized by adopting two modes of local distributed FA and centralized FA. The power distribution main loop mainly adopts a centralized FA control mode, realizes control by means of communication information through the coordination of a main station system; the branch line and radiation power supply mostly adopt a local distributed FA control mode, and the local range realizes rapid control.
The distributed FA transfers the decision right of automatic processing to the distribution network terminal level, divides the whole network into a plurality of independent autonomous areas, realizes reliable summary interaction of fault information between stations in the autonomous areas in a peer-to-peer communication mode, judges the information of each station according to the formulated fault processing logic, and intelligently decides the switch action to realize the in-situ distributed processing of feeder line faults.
After the distributed distribution network terminals are adopted, each distributed distribution network terminal forms an independent node, the nodes in the distribution network have influence on the network integrity, the connectivity and the like after being invalid, and if the nodes lack cooperation, the problems that the distribution network contains various types of nodes, the nodes of different types have dependency relationships crossing intermediate path nodes and the like can be ignored.
Disclosure of Invention
In order to solve the problems in the related art, the application provides a distributed network distribution terminal.
According to the embodiment of the application, a distributed distribution network terminal is provided, which is characterized in that the whole network is divided into a plurality of independent autonomous regions, and each autonomous region is provided with an independent distributed distribution network terminal, which comprises: the monitoring system comprises an acquisition module, communication equipment, a monitoring host and a UPS (uninterrupted power supply);
the acquisition module is used for acquiring site information of monitored equipment in the autonomous region and uploading the site information to the monitoring host;
the communication equipment is used for connecting distributed distribution network terminals in other autonomous regions through the Internet of things;
the monitoring host is used for judging the site information in the local autonomous region collected by the acquisition module and the site information of other autonomous regions collected by the communication equipment according to formulated fault processing logic and intelligently deciding the switching action in the local region, and comprises a coordination module used for realizing the coordinated automatic control of the distributed distribution network terminals in the multiple autonomous regions;
and the UPS is used for supplying power to the acquisition module, the communication equipment and the monitoring host.
Preferably, the coordination module comprises:
a modeling unit: establishing a node network, wherein each distributed distribution network terminal is defined as a node in the node network, and the dependency relationship between each distributed distribution network terminal is defined as a path in the node network;
an analysis unit: analyzing the node network and identifying key nodes in the node network;
a policy unit: and according to the analysis result, establishing a fault processing strategy of the distributed distribution network terminal corresponding to each node.
Preferably, the modeling unit establishes the node network, including establishing a matrix D mapping node network as follows:
Figure BDA0002236367060000021
wherein N is the number of nodes, DijRepresentation node diEfficient presence in a network versus node djThe degree of dependence of efficacy.
Preferably, the method is characterized in that,
Dij＝∑Dki-∑Dih；
wherein D iskiIs a set of nodes { d }kD is pairediEfficacy value of (d)kDependent on dj；DihIs diSet of nodes { d }hEfficacy value of diDependent on dh。
Preferably, the analyzing the node network by the analyzing unit includes:
to DijRedistribute to obtain Wij；
According to WijNormalizing both the dependent path and the depended path;
and calculating the efficiency coupling entropy of each node.
Preferably, for DijRedistribute to obtain WijThe method comprises the following steps: if d isiAnd djIs a non-adjacent node, then
Is provided with
Figure BDA0002236367060000031
Wherein the content of the first and second substances,
Figure BDA0002236367060000032
is d isiThe set of nodes on which the node depends,
Figure BDA0002236367060000033
is the sum of the initial power efficiency coupling coefficients of its neighborhood node groups, betaipIs node diNeighbor node d on which it dependspInitial power efficiency coupling coefficient, betaiqIs node diWith its dependent neighbor node dqThe initial power efficiency coupling coefficient.
Preferably, for DijRedistribute to obtain WijFurther comprising: if d isiAnd djIs an adjacent node, then
Is provided with
Figure BDA0002236367060000034
Preferably, according to WijThe normalization processing of both the dependent path and the depended path includes:
Figure BDA0002236367060000035
preferably, calculating the power coupling entropy of each node comprises:
setting the efficiency coupling entropy
Figure BDA0002236367060000036
Wherein the content of the first and second substances,
Figure BDA0002236367060000041
Figure BDA0002236367060000042
preferably, the Internet of things adopts at least one of PLC, FSK, RS485, M-BUS, zigbee, LoRa and NB-IoT.
The technical scheme provided by the embodiment of the application can have the following beneficial effects: after the distributed distribution network terminals are adopted, each distributed distribution network terminal forms an independent node, the nodes in the distribution network have influence on the network integrity, the connectivity and the like after being invalid, and if the nodes lack cooperation, the problems that the distribution network contains various types of nodes, the nodes of different types have dependency relationships crossing intermediate path nodes and the like can be ignored. In the embodiment, the cooperative module is added to the monitoring host, so that the problems are solved, and cooperative automatic control of the distributed distribution network terminals in a plurality of autonomous regions is realized.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a block diagram illustrating a distributed network distribution terminal based on the internet of things according to an example embodiment;
FIG. 2 is a schematic diagram illustrating a collaboration module in accordance with an exemplary embodiment;
FIG. 3 is a schematic diagram of a power system IEEE-30 node standard test system shown in accordance with an exemplary embodiment;
fig. 4 is a system transient diagram when three phases of different nodes are grounded by using the key node identification method of the above preferred embodiment of the present invention for simulation analysis of fig. 3.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The following disclosure provides many different embodiments, or examples, for implementing different features of the application. In order to simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Further, the present application may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. Further, examples of various specific processes and materials are provided herein, but one of ordinary skill in the art may recognize the applicability of other processes and/or the use of other materials. In addition, the structure of a first feature described below as "on" a second feature may include embodiments in which the first and second features are formed in direct contact, and may also include embodiments in which additional features are formed between the first and second features, such that the first and second features may not be in direct contact.
In the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.
Fig. 1 is a block diagram illustrating a distributed network distribution terminal based on the internet of things according to an exemplary embodiment. Referring to fig. 1, the whole network is divided into a plurality of independent autonomous regions, and each autonomous region is provided with an independent distributed distribution network terminal, which includes: the acquisition module 110, the communication device 120, the monitoring host 130 and the UPS power supply 140;
the acquisition module 110 is configured to acquire site information of the monitored device 200 in the autonomous region, and upload the site information to the monitoring host 130;
the communication device 120 is used for connecting distributed distribution network terminals in other autonomous regions through the internet of things 300;
the monitoring host 130 is configured to determine, according to the formulated fault handling logic, site information in the local autonomous region collected by the collection module 110 and site information of other autonomous regions collected by the communication device 120, and intelligently decide a switching action in the local region, and includes a coordination module configured to implement coordinated automatic control of distributed distribution network terminals in the multiple autonomous regions;
and the UPS power supply 040 is used for supplying power to the acquisition module 110, the communication device 120 and the monitoring host 130.
After the distributed distribution network terminals are adopted, each distributed distribution network terminal forms an independent node, the nodes in the distribution network have influence on the network integrity, the connectivity and the like after being invalid, and if the nodes lack cooperation, the problems that the distribution network contains various types of nodes, the nodes of different types have dependency relationships crossing intermediate path nodes and the like can be ignored. In the embodiment, the cooperative module is added in the monitoring host, so that the problems are solved, and cooperative automatic control of the distributed distribution network terminals in a plurality of autonomous regions is realized
Preferably, fig. 2 is a schematic diagram of a collaboration module shown according to an exemplary embodiment, the collaboration module including:
the modeling unit 10: establishing a node network, wherein each distributed distribution network terminal is defined as a node in the node network, and the dependency relationship between each distributed distribution network terminal is defined as a path in the node network;
the analysis unit 20: analyzing the node network and identifying key nodes in the node network;
the policy unit 30: and according to the analysis result, establishing a fault processing strategy of the distributed distribution network terminal corresponding to each node.
The cooperation scheme of the preferred embodiment provides a technical means for identifying key nodes, and different strategies are formulated for different nodes by identifying the key nodes. For example, if many autonomous areas continue to live depending on the connection and disconnection of an autonomous area, it can be understood that distributed distribution network terminals in the autonomous areas all depend on the distributed distribution network terminals in the autonomous area, which is a key node. For the key node, more resources should be configured, for example, a real-time online standby hot backup is provided. When a key node fails, the function of the key node should be immediately switched to another node for online standby hot backup, so as to ensure that the whole power supply network is not broken down.
Preferably, the modeling unit establishes the node network, including establishing a matrix D mapping node network as follows:
Figure BDA0002236367060000061
wherein N is the number of nodes, DijRepresentation node diEfficient presence in a network versus node djThe degree of dependence of efficacy.
Preferably, the method is characterized in that,
Dij＝∑Dki-∑Dih；
wherein D iskiIs a set of nodes { d }kD is pairediEfficacy value of (d)kDependent on dj；DihIs diSet of nodes { d }hEfficacy value of diDependent on dh。
Preferably, the analyzing the node network by the analyzing unit includes:
to DijRedistribute to obtain Wij；
According to WijNormalizing both the dependent path and the depended path;
and calculating the efficiency coupling entropy of each node.
And determining the effect coupling condition of each node according to the calculation result, and determining whether each distributed distribution network terminal is a key node according to the effect coupling entropy.
Preferably, for DijRedistribute to obtain WijThe method comprises the following steps: if d isiAnd djIs a non-adjacent node, then
Is provided with
Wherein the content of the first and second substances,
Figure BDA0002236367060000072
is d isiThe set of nodes on which the node depends,is the sum of the initial power efficiency coupling coefficients of its neighborhood node groups, betaipIs node diNeighbor node d on which it dependspInitial power efficiency coupling coefficient, betaiqIs node diWith its dependent neighbor node dqThe initial power efficiency coupling coefficient.
Preferably, for DijRedistribute to obtain WijFurther comprising: if d isiAnd djAre adjacent to each otherNode, then
Is provided with
Figure BDA0002236367060000074
Preferably, according to WijThe normalization processing of both the dependent path and the depended path includes:
Figure BDA0002236367060000075
preferably, calculating the power coupling entropy of each node comprises:
setting the efficiency coupling entropy
Figure BDA0002236367060000076
Wherein the content of the first and second substances,
Figure BDA0002236367060000081
Figure BDA0002236367060000082
the above preferred embodiment of the present invention provides a specific algorithm for identifying key nodes, which has small calculation amount and strong feasibility.
FIG. 3 is a schematic diagram of a power system IEEE-30 node standard test system shown in accordance with an exemplary embodiment; fig. 4 is a system transient diagram when three phases of different nodes are grounded by using the key node identification method of the above preferred embodiment of the present invention for simulation analysis of fig. 3.
And respectively carrying out voltage oscillation disturbance simulation experiments on each node of the test system in the figure 3 in PSCAD electromagnetic transient simulation software, and analyzing the influence of node state change on the stability of the system state to obtain a system voltage oscillation amplitude curve and the number of nodes with different oscillation amplitudes in the figure 4.
With the scheme of the preferred embodiment, in the final key node evaluation result, the importance of the node 6 is approximately equal to that of the node 10. For the actual power information physical network, designers can carry out targeted protection on key nodes according to the identification result of the method, and the network structure is prevented from declining after the physical equipment fails and is discharged, so that the power supply of a power grid is interrupted.
Preferably, the Internet of things adopts at least one of PLC (Power Line Carrier), FSK (micro-Power Wireless communication), RS485, M-BUS (Meter-BUS), zigbee (Zigbee), LoRa and NB-IoT.
The preferred embodiment supports the mainstream internet of things in the market at present, so that the technical scheme is popularized and applied as much as possible.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (10)

1. The utility model provides a distribution network terminal which characterized in that, divides the whole network into a plurality of independent autonomous regions, sets up the independence in every autonomous region distribution network terminal, it includes: the monitoring system comprises an acquisition module, communication equipment, a monitoring host and a UPS (uninterrupted power supply);
the acquisition module is used for acquiring site information of monitored equipment in the autonomous region and uploading the site information to the monitoring host;
the communication equipment is used for connecting distributed distribution network terminals in other autonomous regions through the Internet of things;
the monitoring host is used for judging the site information in the local autonomous region collected by the acquisition module and the site information of other autonomous regions collected by the communication equipment according to formulated fault processing logic and intelligently deciding the switching action in the local region, and comprises a coordination module used for realizing the coordinated automatic control of the distributed distribution network terminals in the multiple autonomous regions;
and the UPS is used for supplying power to the acquisition module, the communication equipment and the monitoring host.
2. The distributed distribution network terminal of claim 1, wherein the coordination module comprises:
a modeling unit: establishing a node network, wherein each distributed distribution network terminal is defined as a node in the node network, and the dependency relationship between each distributed distribution network terminal is defined as a path in the node network;
an analysis unit: analyzing the node network and identifying key nodes in the node network;
a policy unit: and according to the analysis result, establishing a fault processing strategy of the distributed distribution network terminal corresponding to each node.
3. The distributed distribution network terminal of claim 2, wherein the modeling unit establishing the node network comprises establishing a matrix D mapping node network as follows:
Figure FDA0002236367050000011
wherein N is the number of nodes, DijRepresentation node diEfficient presence in a network versus node djThe degree of dependence of efficacy.
4. The distributed distribution network terminal of claim 3,
Dij＝∑Dki-∑Dih；
wherein D iskiIs a set of nodes { d }kD is pairediEfficacy value of (d)kDependent on dj；DihIs diSet of nodes { d }hEfficacy value of diDependent on dh。
5. The distributed distribution network terminal of claim 4, wherein the analyzing of the nodal network by the analyzing unit comprises:
to DijRedistribute to obtain Wij；
According to WijNormalizing both the dependent path and the depended path;
and calculating the efficiency coupling entropy of each node.
6. The distributed network terminal of claim 5, wherein pair DijRedistribute to obtain WijThe method comprises the following steps: if d isiAnd djIs a non-adjacent node, then
Is provided with
Figure FDA0002236367050000021
Wherein the content of the first and second substances,
Figure FDA0002236367050000022
is d isiThe set of nodes on which the node depends,
Figure FDA0002236367050000023
is the sum of the initial power efficiency coupling coefficients of its neighborhood node groups, betaipIs node diNeighbor node d on which it dependspInitial power efficiency coupling coefficient, betaiqIs node diWith its dependent neighbor node dqThe initial power efficiency coupling coefficient.
7. The distributed network terminal of claim 6, wherein pair DijRedistribute to obtain WijFurther comprising: if d isiAnd djIs an adjacent node, then
Is provided with
Figure FDA0002236367050000024
8. The distributed network terminal of claim 7, wherein the W is a function ofijThe normalization processing of both the dependent path and the depended path includes:
Figure FDA0002236367050000025
9. the distributed distribution network terminal of claim 8, wherein calculating the power efficiency coupling entropy for each node comprises:
setting the efficiency coupling entropy
Wherein the content of the first and second substances,
Figure FDA0002236367050000032
Figure FDA0002236367050000033
10. the distributed distribution network terminal of any one of claims 1-9, wherein the internet of things employs at least one of PLC, FSK, RS485, M-BUS, zigbee, LoRa, and NB-IoT.
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Publication number Priority date Publication date Assignee Title
WO2012040515A1 (en) * 2010-09-22 2012-03-29 Brian Tharp Electrical engineering and capacity management system and method
US20160042051A1 (en) * 2013-04-29 2016-02-11 Moogsoft, Inc. Decomposing events from managed infrastructures using graph entropy
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Application publication date: 20200107