WO2022227277A1 - Procédé et dispositif de décision permettant le transfert d'alimentation électrique d'un réseau électrique à boucle ouverte - Google Patents

Procédé et dispositif de décision permettant le transfert d'alimentation électrique d'un réseau électrique à boucle ouverte Download PDF

Info

Publication number
WO2022227277A1
WO2022227277A1 PCT/CN2021/104448 CN2021104448W WO2022227277A1 WO 2022227277 A1 WO2022227277 A1 WO 2022227277A1 CN 2021104448 W CN2021104448 W CN 2021104448W WO 2022227277 A1 WO2022227277 A1 WO 2022227277A1
Authority
WO
WIPO (PCT)
Prior art keywords
power supply
target set
adjacency matrix
node
tree
Prior art date
Application number
PCT/CN2021/104448
Other languages
English (en)
Chinese (zh)
Inventor
梁广宇
Original Assignee
广东电网有限责任公司江门供电局
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 广东电网有限责任公司江门供电局 filed Critical 广东电网有限责任公司江门供电局
Publication of WO2022227277A1 publication Critical patent/WO2022227277A1/fr

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0073Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source when the main path fails, e.g. transformers, busbars
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems

Definitions

  • the present application relates to the technical field of power supply restoration of power systems, and in particular, to a decision-making method and device for switching power supply from an open-loop power grid.
  • the premise of transferring the target set caused by the fault in the power system to the backup power supply is to meet some safety conditions.
  • the current distribution network self-healing technology is limited by the insufficiency of the analysis method, and can only be applied to a specific fault type under a specific operation mode of a specific wiring structure (currently only single backup power supply or dual backup power supply, fixed open-loop point situation can be achieved) self-healing of single-device tripping faults), so the scope of application and application scenarios are very limited.
  • the main problem is the lack of online analysis methods in multiple scenarios, so it is impossible to analyze flexible scenarios with multiple devices, non-trip faults, multiple backup power supplies, and dynamic open-loop points, and thus cannot achieve universal self-healing.
  • the automatic device determines that the grid conditions meet these conditions, and can automatically execute the solidified plan, so it can achieve fast, safe and good fault transfer recovery. But such fault types only account for a very small fraction of grid faults, so their scope of application is very limited.
  • More grid failures are flexible. There are trips and emergency defects; and the location of the fault and the number of faulty equipment are also randomly changed; the position of the backup power supply relative to the fault point is also random and changeable.
  • the present application provides a decision-making method and device for switching an open-loop power grid to power supply, which solves the technical problem that the prior art cannot be adapted to any scenario in the open-loop power grid fault recovery analysis process.
  • a first aspect of the present application provides a decision-making method for converting an open-loop power grid to power supply, the method comprising:
  • a target set adjacency matrix is formed by the independently connected set regions
  • the target set adjacency matrix is coded by the coding technique of genetic algorithm, and the potential solutions of each type of the target set adjacency matrix are exhaustively listed.
  • a topology directed graph is drawn according to the switchable point devices and the non-openable edge devices, and the edges including the open-loop point switches in the topology directed graph are connected by dashed lines.
  • converting the target set power supply tree into a corresponding original adjacency matrix where the columns of the original adjacency matrix correspond to nodes in the target set power supply tree, and the rows of the original adjacency matrix correspond to the The edge formed by the two connected nodes in the target set power supply tree, including:
  • the target set corresponding to element 1 supplies the first edge and the first node in the tree, and the first edge includes the first node;
  • the target set corresponding to element 0 supplies the second edge and the second node in the tree, and the second edge does not include the second node.
  • searching for independently connected aggregated regions in the original adjacency matrix, and eliminating island nodes that are not connected to the standby power supply node including:
  • the element 1 in the original adjacency matrix is searched according to the connection relationship of the nodes in the target set power supply tree, and a set area where each element 1 is connected with the standby power supply node is established;
  • the coding technique using genetic algorithm encodes the target set adjacency matrix, and enumerates the potential solutions of each type of the target set adjacency matrix, including:
  • the coding result represents the combination of edges that need to be disconnected when transferring power in the target set adjacency matrix
  • the coding result is brought into the target set adjacency matrix to search for element 1. If the target set power supply tree corresponding to the coding result satisfies the target set power supply tree, no isolated point is generated, a ring network is not generated, and any If the backup power supply node is disconnected, the encoding result is a potential solution.
  • a second aspect of the present application provides a decision-making device for converting an open-loop power grid to power supply, the device comprising:
  • the scanning unit is used to scan the power grid before and after the fault to obtain the target set power supply tree;
  • a conversion unit configured to convert the target set power supply tree into a corresponding original adjacency matrix, the columns of the original adjacency matrix correspond to the nodes in the target set power supply tree, and the rows of the original adjacency matrix correspond to the target an edge formed by two connected nodes in the collective power supply tree; determine the standby power supply node in the target collective power supply tree;
  • a first search unit configured to search for independently connected aggregated regions in the original adjacency matrix, and to eliminate island nodes that are not connected to the backup power supply node;
  • a target set adjacency matrix acquisition unit configured to form a target set adjacency matrix from the independently connected set regions
  • a dividing unit configured to classify the target set adjacency matrix by the difference of the selected backup power supply nodes
  • the first coding unit is used for coding the target set adjacency matrix by using the coding technique of genetic algorithm, and exhaustively enumerating the potential solutions of each type of the target set adjacency matrix.
  • the division unit is used to divide the equipment in the power grid into openable point equipment and non-openable side equipment;
  • a drawing unit configured to draw a topology directed graph according to the switchable point devices and the non-openable edge devices, where the edges including the open-loop point switches in the topology directed graph are connected by dashed lines.
  • the conversion unit is further configured to, when the element in the original adjacency matrix is 1, the first edge and the first node in the target set power supply tree corresponding to element 1, the first edge including the first node;
  • the target set corresponding to element 0 supplies the second edge and the second node in the tree, and the second edge does not include the second node.
  • the search unit is specifically configured to take the standby power supply node as the core, search for element 1 in the original adjacency matrix according to the connection relationship of the nodes in the target set power supply tree, and establish the relationship between each element 1 and the node. a collection area where the backup power supply nodes are connected;
  • the second encoding unit is configured to encode each edge in the target set adjacency moment into a corresponding codeword, and the code length is the difference between the number of edges in each type of the target set adjacency matrix minus the number of nodes plus one;
  • an exhaustive unit configured to enumerate all coding results of each type of the target set adjacency matrix, where the coding result represents a combination of edges that need to be disconnected during power transfer in the target set adjacency matrix;
  • the second search unit is configured to bring the coding result into the target set adjacency matrix to search for element 1, if the target set power supply tree corresponding to the coding result satisfies the target set power supply tree and does not generate an outlier , the ring network is not generated and any of the backup power nodes is not connected, the coding result is a potential solution.
  • the present application has the following advantages:
  • the column corresponds to the node in the target set power supply tree, and the row of the original adjacency matrix corresponds to the edge formed by the two connected nodes in the target set power supply tree; determine the standby power supply node in the target set power supply tree; search for independent connectivity in the original adjacency matrix
  • the set area of the target set is selected, and the island nodes that are not connected to the standby power supply node are eliminated; the independent connected set area constitutes the target set adjacency matrix; the target set adjacency matrix is classified by the difference of the selected standby power supply nodes; the coding of the genetic algorithm is used.
  • the technique encodes the target set adjacency matrix and enumerates the potential solutions of each type of target set adjacency matrix.
  • the present application determines the target set power supply tree by scanning the power grid before and after the fault, converts the target set power supply tree into the original adjacency matrix, searches the original adjacency matrix to determine the independently connected set area, Coding analysis, exhaustively enumerates potential solutions in the target set power supply tree; so that the present application can be applied to open-loop power grid fault analysis in any scenario.
  • Fig. 1 is a method flow chart of an embodiment of a decision method for switching power supply from an open-loop power grid according to the present application
  • FIG. 2 is a flowchart of a method for encoding the target set adjacency matrix using the coding technique of genetic algorithm in the embodiment of the application, and enumerating the potential solutions of each type of the target set adjacency matrix;
  • FIG. 3 is a structural diagram of an apparatus according to an embodiment of an open-loop power grid-to-power decision-making apparatus according to the present application;
  • FIG. 4 is a schematic diagram of the IEEE standard 33 node distribution network model before the fault in the embodiment of the application;
  • FIG. 5 is a schematic diagram of an IEEE standard 33 node distribution network model after a fault in an embodiment of the application
  • FIG. 6 is a schematic diagram of a corresponding original adjacency matrix converted from a target set power supply tree in an embodiment of the present application
  • FIG. 7 is a schematic diagram of searching an original adjacency matrix in an embodiment of the present application.
  • FIG. 8 is a schematic diagram of an individually connected collection region obtained by searching an original adjacency matrix in an embodiment of the present application
  • FIG. 9 is a schematic diagram of another individually connected collection region obtained by searching the original adjacency matrix in the embodiment of the present application.
  • Fig. 10 is a schematic diagram of a structure for transferring power supply when the encoding result is [(16)] in the embodiment of the application.
  • FIG. 1 is a flow chart of a method according to an embodiment of the present application, as shown in FIG. 1 , and FIG. 1 includes:
  • the present application can scan the power grid before and after the fault, and can obtain the IEEE standard 33 node distribution network model before and after the fault respectively.
  • FIG. 4 In a specific implementation manner, reference may be made to the schematic diagrams of the IEEE standard 33 node distribution network model before and after the failure shown in FIG. 4 and FIG. 5 .
  • node 00 is regarded as the main transformer of the substation
  • nodes 01 and 18 are regarded as the low-side busbar of the substation
  • nodes 02 and 19 are regarded as the outgoing line of the low-voltage side of the substation
  • nodes 03 and 04 are regarded as the main line of distribution
  • Fig. 4 can be regarded as an actual power distribution network.
  • (01) to (37) are the sides of the distribution network model, respectively, and the dotted line side represents the switch or knife gate device that is in an off state during scanning.
  • the obtained target set power supply tree can be converted into a corresponding original adjacency matrix.
  • the rows in the original adjacency matrix correspond to the edges in the target set power supply tree, and the columns in the original adjacency matrix correspond to the target set power supply tree.
  • element 1 in the original adjacency matrix means that the edge corresponding to element 1 includes the node corresponding to element 1
  • element 0 means that the edge corresponding to element 0 does not include the node corresponding to element 0.
  • the original adjacency matrix obtained by conversion can be Referring to FIG. 6 , the equipment of nodes 7 , 11 and 28 in FIG. 6 may be provided with a backup power supply, and the backup power supply can be used to transfer power to the faulty equipment when the equipment fails.
  • each element is searched in the original adjacency matrix to determine the independently connected aggregate area in the original adjacency matrix, and the requirement for determining the independently connected aggregate area is: Eliminate the island nodes that are not connected to the standby power node (constituted connected area); each independently connected collective area contains at least one backup power node.
  • the cut-off condition of each search is: another backup power supply node is searched, element 1 cannot be further searched, or a node that has already been searched is searched.
  • the target set adjacency matrix is formed by the independently connected set regions
  • independently connected collection regions can be obtained from the search results of the original adjacency matrix.
  • One of the independently connected collection regions can refer to Figures 8 and 9.
  • Figures 8 to 9 are based on the search results of Figure 7. get.
  • the edges (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(36)(37) in Figure 7 can constitute a target set adjacency matrix, as shown in Figure 8; edges (29) (30 (31) (32) (33) can form a target set adjacency matrix, as shown in Figure 9.
  • the target set adjacency matrix can be classified according to the selected standby power supply nodes. For example, in a single connected collection area shown in FIG. 8, when the backup power node is node 7, when the backup power node is node 11, and when the backup power node is nodes 7 and 11, the target in these three cases can be selected. Set adjacency matrix. Another individually connected collective area shown in FIG. 9 may select a case where the backup power supply node is the node 28 .
  • this application can use the coding technology of genetic algorithm to encode the target set adjacency matrix, that is, to encode all fault conditions of each type of target set adjacency matrix, so as to determine the possible faults of each type of target set adjacency matrix.
  • the power transfer strategy is to obtain the potential solution of the adjacency matrix of each type of target set.
  • the coding technology of genetic algorithm is used to encode the target set adjacency matrix, and the process of enumerating the potential solutions of each type of target set adjacency matrix is detailed, as shown in FIG. 2 , in FIG. 2 .
  • the coding technology of genetic algorithm is used to encode the target set adjacency matrix, and the process of enumerating the potential solutions of each type of target set adjacency matrix is detailed, as shown in FIG. 2 , in FIG. 2 .
  • each edge in the adjacency moment of the target set can be encoded as a corresponding codeword.
  • each edge in Fig. 8 can be encoded, and the codeword corresponding to each edge is (7) (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(36)(37); the codeword corresponding to each edge in Figure 9 is (29) )(30(31)(32)(33).
  • the coding length can be defined as the difference between the number of edges minus the number of nodes in the adjacency matrix of each type of target set plus one, that is:
  • N edges is the number of edges (number of rows) and N points is the number of points (number of columns).
  • the significance of the coding length is to ensure that the target set can be transferred in the form of one tree or multiple trees. Different power supply conditions correspond to different matrix conditions, and the lengths of the codes are also different.
  • the code length is 1, and the specific code is:
  • the code length is 1, and the specific code is:
  • the coding length is 0, and the specific coding is [], that is, an empty set.
  • the encoding result is [(16)], which means that when the node 7 or 11 is used as the backup power supply node for power transfer, the node (16) is disconnected.
  • the coding result is [(16)(17)], indicating that when nodes 7 and 11 are used as backup power nodes for power transfer, node (16) and node (17) are disconnected.
  • the code length is 0, which means that when the target set uses the standby power supply of the node 28 for power transfer, it is not allowed to disconnect any edge.
  • the coding result can be brought into the target set adjacency matrix to search for element 1.
  • the target set power supply tree corresponding to the coding result satisfies the target set power supply tree, no orphan is generated. If there is no ring network and any backup power node is not connected, the coding result is a potential solution.
  • FIG. 10 a schematic diagram of a power transfer structure when the encoding result is [(16)], when the backup power supply node is node 7, nodes 16, 17, and 32 become island nodes at this time, and at the same time cause the node 8, 9, 10, 11, 12, 13, and 14 form a ring network, which cannot satisfy the two conditions that the target set power supply tree does not generate an isolated point and does not generate a ring network, so the coding result [(16)] cannot be determined as a potential solution. .
  • [(7)][(8)][(15)][(17)][(37)] cannot be used as potential solutions.
  • the target set adjacency matrix corresponding to each coding result can be searched for element 1, then when node 7 or 11 is used as the backup power node, the potential solution includes [(9)][(10)][(11)] [(12)][(13)][(14)][(36)], 7 in total.
  • potential solutions include [(8)(9)][(8)(10)][(8)(11)][(8)(12)][( 8)(13)][(8)(14)][(8)(36)][(9)(12)][(9)(13)][(9)(14)][(9) (36)][(10)(12)][(10)(13)][(10)(14)][(10)(36)][(11)(12)][(11)(13 )][(11)(14)][(11)(36)], 19 in total.
  • the number of potential solution individuals of the matrix in Figure 9 is one.
  • the present application determines the target set power supply tree by scanning the power grid before and after the fault, converts the target set power supply tree into the original adjacency matrix, searches the original adjacency matrix to determine the independently connected set area, Coding analysis, exhaustively enumerates potential solutions in the target set power supply tree; so that the present application can be applied to open-loop power grid fault analysis in any scenario.
  • the present application also provides an embodiment of a decision-making device for switching from an open-loop power grid to power supply, as shown in FIG. 3 , which includes:
  • the scanning unit 301 is used to scan the power grid before and after the fault, and obtain the target set power supply tree;
  • the conversion unit 302 is configured to convert the target set power supply tree into a corresponding original adjacency matrix, the columns of the original adjacency matrix correspond to the nodes in the target set power supply tree, and the rows of the original adjacency matrix correspond to two connected nodes in the target set power supply tree constituted edges; determine the standby power nodes in the target set power supply tree;
  • a first search unit 303 configured to search for independently connected aggregated regions in the original adjacency matrix, and to eliminate island nodes that are not connected to the standby power supply node;
  • a target set adjacency matrix obtaining unit 304 configured to form a target set adjacency matrix by independently connected set regions
  • the dividing unit 305 is used for classifying the adjacency matrix of the target set according to the difference of the selected standby power supply nodes;
  • the first coding unit 306 is used for coding the target set adjacency matrix by using the coding technology of the genetic algorithm, and exhaustively enumerating the potential solutions of each type of target set adjacency matrix.
  • it also includes:
  • the division unit is used to divide the equipment in the power grid into openable point equipment and non-openable side equipment;
  • the drawing unit is used to draw a topology directed graph according to the switchable point devices and the non-openable edge devices, and the edges including the open-loop point switches in the topology directed graph are connected by dashed lines.
  • the conversion unit 302 is further configured to, when the element in the original adjacency matrix is 1, then the target set corresponding to element 1 supplies the first edge and the first node in the tree, and the first edge includes the first node;
  • the target set corresponding to element 0 supplies the second edge and the second node in the tree, and the second edge does not include the second node.
  • the first search unit 303 is specifically configured to take the standby power supply node as the core, search for element 1 in the original adjacency matrix according to the connection relationship of the nodes in the target set power supply tree, and establish a collection area where each element 1 is connected to the standby power supply node;
  • the first encoding unit 306 also includes:
  • the second coding unit is used to encode each edge in the adjacency moment of the target set into a corresponding codeword, and the code length is the difference between the number of edges in the adjacency matrix of each type of target set minus the number of nodes plus one;
  • the exhaustive unit is used to enumerate all coding results of each type of target set adjacency matrix, and the coding result represents the combination of edges that need to be disconnected when transferring power in the target set adjacency matrix;
  • the second search unit is used to bring the coding result into the adjacency matrix of the target set to search for element 1. If the target set power supply tree corresponding to the coding result satisfies the target set power supply tree, no isolated point is generated, no ring network is generated, and any standby If the power node is not connected, the coding result is a potential solution.
  • At least one (item) refers to one or more, and "a plurality” refers to two or more.
  • “And/or” is used to describe the relationship between related objects, indicating that there can be three kinds of relationships, for example, “A and/or B” can mean: only A, only B, and both A and B exist , where A and B can be singular or plural.
  • the character “/” generally indicates that the associated objects are an “or” relationship.
  • At least one item(s) below” or similar expressions thereof refer to any combination of these items, including any combination of single item(s) or plural items(s).
  • At least one (a) of a, b or c can mean: a, b, c, "a and b", “a and c", “b and c", or "a and b and c" ", where a, b, c can be single or multiple.
  • the disclosed system, apparatus and method may be implemented in other manners.
  • the apparatus embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Procédé et dispositif de décision permettant le transfert d'alimentation électrique d'un réseau électrique à boucle ouverte. Le procédé consiste : à balayer un réseau d'alimentation avant et après une défaillance pour obtenir un arbre d'alimentation électrique d'ensemble cible ; à convertir l'arbre d'alimentation électrique d'ensemble cible en une matrice d'adjacence d'origine correspondante ; à rechercher la matrice d'adjacence d'origine pour des régions d'ensemble connectées indépendamment, et à éliminer des nœuds d'îlot qui ne sont pas connectés à un nœud d'alimentation électrique de secours ; à former des matrices d'adjacence d'ensemble cible par les régions d'ensemble reliées de façon indépendante ; à classifier les matrices d'adjacence de l'ensemble cible selon différents nœuds de puissance de secours sélectionnés ; et à coder les matrices d'adjacence de l'ensemble cible au moyen d'une technique de codage d'un algorithme génétique et à énumérer des solutions potentielles de tous les types de matrices d'adjacence de l'ensemble cible. La présente demande résout le problème technique selon lequel l'état de la technique ne peut pas être adapté à une quelconque scène pendant la récupération et l'analyse de défaillance d'un réseau électrique à boucle ouverte.
PCT/CN2021/104448 2021-04-27 2021-07-05 Procédé et dispositif de décision permettant le transfert d'alimentation électrique d'un réseau électrique à boucle ouverte WO2022227277A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110461646.X 2021-04-27
CN202110461646.XA CN113141009B (zh) 2021-04-27 2021-04-27 一种用于开环电网转供电的决策方法及装置

Publications (1)

Publication Number Publication Date
WO2022227277A1 true WO2022227277A1 (fr) 2022-11-03

Family

ID=76816166

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/104448 WO2022227277A1 (fr) 2021-04-27 2021-07-05 Procédé et dispositif de décision permettant le transfert d'alimentation électrique d'un réseau électrique à boucle ouverte

Country Status (2)

Country Link
CN (1) CN113141009B (fr)
WO (1) WO2022227277A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130064070A1 (en) * 2011-09-12 2013-03-14 Honeywell International Inc. Apparatus and method for identifying optimal node placement to form redundant paths around critical nodes and critical links in a multi-hop network
CN103855707A (zh) * 2014-02-20 2014-06-11 深圳供电局有限公司 一种含分布式电源配电网的供电可靠性评估方法
CN107994582A (zh) * 2017-10-24 2018-05-04 中国南方电网有限责任公司电网技术研究中心 含分布式电源的配电网重构方法和系统
CN109560546A (zh) * 2018-12-10 2019-04-02 四川大学 一种城市高压配电网快速分区方法
CN111210169A (zh) * 2020-02-29 2020-05-29 华南理工大学 基于branch矩阵的无环网无孤岛配电网络生成方法

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101252280B (zh) * 2008-04-08 2013-06-12 昆明理工大学 一种城市电网最大供电能力在线评估方法
CN102522752B (zh) * 2011-12-14 2014-08-20 天津大学 面向供电能力提高的配电网联络结构优化方法
CN103579990B (zh) * 2013-10-17 2017-01-25 华南理工大学 基于混合决策图的含分布式电源配电系统故障恢复方法
CN105514925B (zh) * 2015-12-09 2018-04-20 国网甘肃省电力公司检修公司 一种基于遗传算法的750kV变电站故障恢复方法
CN105631768B (zh) * 2016-01-27 2019-07-12 湖南大学 一种快速获取环形配电网中辐射状拓扑结构的编码方法
CN111143764B (zh) * 2019-12-17 2023-04-18 东南大学 基于扩散理论的结构复杂配网可靠性评估方法
CN111537831B (zh) * 2020-04-01 2022-06-24 华中科技大学鄂州工业技术研究院 一种配电网线路故障定位方法及装置
CN112541626B (zh) * 2020-12-08 2022-08-02 国网江苏省电力有限公司经济技术研究院 一种基于改进遗传算法的多目标配电网故障重构方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130064070A1 (en) * 2011-09-12 2013-03-14 Honeywell International Inc. Apparatus and method for identifying optimal node placement to form redundant paths around critical nodes and critical links in a multi-hop network
CN103855707A (zh) * 2014-02-20 2014-06-11 深圳供电局有限公司 一种含分布式电源配电网的供电可靠性评估方法
CN107994582A (zh) * 2017-10-24 2018-05-04 中国南方电网有限责任公司电网技术研究中心 含分布式电源的配电网重构方法和系统
CN109560546A (zh) * 2018-12-10 2019-04-02 四川大学 一种城市高压配电网快速分区方法
CN111210169A (zh) * 2020-02-29 2020-05-29 华南理工大学 基于branch矩阵的无环网无孤岛配电网络生成方法

Also Published As

Publication number Publication date
CN113141009B (zh) 2022-07-12
CN113141009A (zh) 2021-07-20

Similar Documents

Publication Publication Date Title
CN107872058B (zh) 一种融合线路自愈的配网一体化保护方法
CN106230121A (zh) 一种应用于含混合开关配电网的自适应自愈保护方法
CN109713794B (zh) 一种分布式智能自恢复系统及方法
CN107846015B (zh) 基于对等式通讯的智能配电网负荷转供最优路径选择方法
CN206559565U (zh) 终端通信接入网epon环型组网结构
CN104778632A (zh) 一种实现智能转电辅助决策的方法及系统
CN110348690B (zh) 基于树形搜索的结果查询菜单化电网事故辅助决策系统及方法
CN109494728B (zh) 一种配电终端选址选型方法
CN105790990A (zh) 一种监管配用电通信业务的方法及其系统
CN104701991B (zh) 智能变电站继电保护装置的检修方法
CN110994786A (zh) 一种基于对等通信的单个智能分布式配电终端控制方法
CN105226642B (zh) 一种变电站全停事故下的配电网供电恢复方法
CN111082400B (zh) 一种基于无线网络和站域信息的失灵保护系统和方法
WO2022227277A1 (fr) Procédé et dispositif de décision permettant le transfert d'alimentation électrique d'un réseau électrique à boucle ouverte
CN113036731B (zh) 一种点对点通信的配电网馈线故障隔离方法及自愈系统
CN114386222A (zh) 一种基于信息物理系统的配电网协同故障恢复方法和系统
CN106410807A (zh) 智能变电站“四网合一”基于环型组网的方法
CN109613394B (zh) 一种智能分布加电压时间型就地故障区段判别方法
CN100571219C (zh) 一种负载分担路由器以及实现负载分担的设备、方法
CN101771456A (zh) 一种环形直放站系统及其网络故障修复方法
CN107528777A (zh) 一种负载均衡的软交换网络故障恢复方法
CN112234610B (zh) 集中式ftu控制的馈线自动化系统可靠性分析方法
CN105207182B (zh) 一种配电网区域保护的方法及系统
CN210142923U (zh) 一种智能变电站的网络通信系统
CN106022956A (zh) 一种区域保护差动环边界断路器动态搜索方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21938745

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21938745

Country of ref document: EP

Kind code of ref document: A1

122 Ep: pct application non-entry in european phase

Ref document number: 21938745

Country of ref document: EP

Kind code of ref document: A1