CN104156534A - Objectification power grid topology analysis method for generating black-start scheme - Google Patents

Objectification power grid topology analysis method for generating black-start scheme Download PDF

Info

Publication number
CN104156534A
CN104156534A CN201410408327.2A CN201410408327A CN104156534A CN 104156534 A CN104156534 A CN 104156534A CN 201410408327 A CN201410408327 A CN 201410408327A CN 104156534 A CN104156534 A CN 104156534A
Authority
CN
China
Prior art keywords
plant stand
equipment
path
circuit
plant
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
CN201410408327.2A
Other languages
Chinese (zh)
Other versions
CN104156534B (en
Inventor
梁海平
董金哲
李少岩
顾雪平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Original Assignee
North China Electric Power University
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 North China Electric Power University filed Critical North China Electric Power University
Priority to CN201410408327.2A priority Critical patent/CN104156534B/en
Publication of CN104156534A publication Critical patent/CN104156534A/en
Application granted granted Critical
Publication of CN104156534B publication Critical patent/CN104156534B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses an objectification power grid topology analysis method for generating a black-start scheme. The method is used for improving the performance of a black-start decision supporting system. According to the technical scheme, each factory station in the system is adopted as an object in the method, global topology analysis is carried out with the factory station objects as basic units, then each factory station object is adopted as a small system, local topology analysis is carried out in the factory station objects, and then the topology results of two levels are integrated. Each factory station in the system is adopted as one object, the topology process of the power system is clearly divided into the two levels, namely, global topology and local topology, and the method is high in efficiency, good in effectiveness, high in systematicness, simple in program implementation, capable of generating a recovery path in the back-start process conveniently, and suitable for the topology analysis of the large-scale power system.

Description

The objectification power network topology analytical approach generating for black-start scheme
Technical field
The present invention relates to a kind of method that can analyze power network topology quickly and accurately, belong to power transmission and distribution technical field.
Background technology
Trans-regional interconnected along with electric system; the scale of electrical network is increasing; influencing each other between each subsystem is more and more stronger; when breaking down, local system may lead to large-area power outage due to the incorrect operation of protection and aut.eq.; even make whole power system collapse disintegrate, to national economy, bring huge loss.Along with the expansion of system scale, the possibility of occurrence of large-area power outage is also increasing.Therefore study the recovery after power system accident, " black startup " and associated problem are significant, and black startup decision support technique is also subject to scholar's attention day by day.Power network topology analysis is the basis of black startup decision support research, one improve and fast topology analyzing method can greatly improve the performance of black startup decision support system (DSS).
Meanwhile, topological analysis is also the basis of electric system simulation and analytical calculation, and in operation of power networks is controlled and analyzed, power network topology analysis plays vital effect, can provide infrastructure network data for state estimation, trend calculating, crash analysis etc.Traditional electric power decorum topology analyzing method be whole system is looked as a whole, intrasystem all devices is carried out to Unified number, then carry out topological analysis, although the method simple, intuitive, when large scale system is analyzed, efficiency is low, validity is poor.Afterwards, occurred the method that hierarchical topology is analyzed, the method has higher efficiency when large scale system is analyzed, but the method systematicness is not strong, and program realizes complicated.Therefore be necessary to design a kind of method that can analyze power network topology quickly and accurately, for the generation of restoration path in electric system simulation and analytical calculation, black initial start stage scheme and rack restructuring procedure creates favorable conditions.
Summary of the invention
The object of the invention is to the drawback for prior art, a kind of objectification power network topology analytical approach generating for black-start scheme is provided, improve the performance of black startup decision support system (DSS).
Problem of the present invention realizes with following technical proposals:
A kind of objectification power network topology analytical approach generating for black-start scheme, described method is using intrasystem each plant stand as an object, first take each plant stand object carries out Global Topological analysis as elementary cell, then each plant stand object is considered as to a mini system, in plant stand object inside, carry out partial network topology, finally the topological result of two levels is integrated, the method comprises the following steps:
A. set up plant stand class: the data members such as the interior adjacency matrix of memory structure and station that comprise various device, end points, connected node in plant stand class, also have initialization first, secondary initialization, form adjacency matrix, topology search, with the mutual member function of whole topology;
B. according to each plant stand object of plant stand class initialization first of setting up in step a: during initialization first, according to the number of system data equipment, end points, connected node, memory structure storage allocation for equipment, end points, connected node, and according to the number of connected node, dynamically determine the scale of adjacency matrix in station, establish the in individual plant stand, the number of connected node is , adjacency matrix in individual plant stand object scale be , in juxtaposition matrix, all unit are " 0 ";
C. take each plant stand object sets up overall adjacency matrix as elementary cell : be initially complete zero battle array, for all plant stand Unified numbers in system, establish for the sum of plant stand in system, the scale of adjacency matrix is , travel through transmission line of electricity in all systems, if circuit connect plant stand and plant stand , put with for " 1 ";
D. determine black startup plant stand, black startup unit and be activated plant stand, be activated unit;
E. take black startup plant stand and be activated plant stand as target, use breadth-first search to carry out whole topological analysis, obtain the path collection that only comprises plant stand object and circuit between each plant stand:
Plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M> plant stand M+1
In <>, be wherein line name;
F. the system data information of take is carried out secondary initialization as basis for the plant stand object on the collection of path;
G. for the plant stand on path, utilize successively its member function to carry out partial network topology, part in the station in the path that is restored;
H. the result of two hierarchical topology analyses is integrated, obtained complete topological analysis result, the complete concrete form of topological analysis result is:
Plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M> plant stand M+1
Plant stand 1: equipment 1 → equipment 2 → ... → equipment N 1
Plant stand 2: equipment 1 → equipment 2 → ... → equipment N 2
…………
Plant stand M+1: equipment 1 → equipment 2 → ... → equipment N m+1.
The above-mentioned objectification power network topology analytical approach generating for black-start scheme, for the plant stand object on the collection of path, carry out the initialized concrete steps of secondary as follows:
1. first plant stand object on acquisition approach collection;
Whether the secondary initialization flag position that 2. judges this object is true, if really arrive step 5.; Otherwise to step 3.;
3. be this plant stand object pad device, end points, the data such as connected node: according to system data, insert equipment, end points, the data such as connected node in the data storing structure that initialization is first set up in step b;
4. according to the annexation of equipment, form adjacency matrix in station , by the secondary initialization flag position in plant stand object, be "True": traversal the all devices in individual plant stand, for the two end equipment that have two end points, these two end points must connect respectively connected node and connected node , will with set, for the three end equipment that have three end points, and three end points are connecting respectively connected node , connected node and connected node , will , , , , with set;
5. next plant stand object on acquisition approach;
6. to path concentrate all plant stand objects repeat 2.-5..
The above-mentioned objectification power network topology analytical approach generating for black-start scheme, the partial network topology of concrete steps utilize successively its member function to carry out to(for) the plant stand on path are:
I. according to step e gained route result, determine starting point and the terminal of the interior local path search of standing: when the starting point that local path is searched in determining station and terminal, for black startup plant stand, middle plant stand, being activated power plant processes respectively, in black startup plant stand, using and specify generator and wire-outgoing breaker as starting point and terminal that in station, local path is searched for, in middle plant stand, using lead-in circuit breaker and wire-outgoing breaker starting point and the terminal as local path search in station, in being activated power plant, starting point and the terminal of usining lead-in circuit breaker and specifying generator to search for as the interior local path in station,
II. the adjacency matrix in the station of setting up in step f of take is basis, to starting point definite in step I and terminal, utilize the member function in plant stand object to carry out local path search, in standing, dijkstra's algorithm is used in local path search, and in the station that search obtains, path form the following is: equipment 1 → equipment 2 → ... → equipment N;
III. all plant stand objects in step e gained route result are carried out to I-II.
The above-mentioned objectification power network topology analytical approach generating for black-start scheme be take black startup plant stand and be activated plant stand and carry out whole topological analysis as target in step e, also can use Depth Priority Algorithm.
The above-mentioned objectification power network topology analytical approach generating for black-start scheme, in step II, while standing interior local path search, is used Floyd algorithm.
The present invention is using each plant stand in system as an object, clearly the topological process of electric system is divided into Global Topological and two levels of local topology, not only efficiency is high for the method, validity is good, and systematicness is strong, program realizes simple, can generate easily the restoration path in black startup, be applicable to the topological analysis of large-scale electrical power system.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the invention will be further described.
Fig. 1 utilizes objectification power network topology analytical approach to generate black startup Path Method process flow diagram;
Fig. 2 is plant stand object secondary initialization flowchart;
Fig. 3 is that plant stand object carries out partial network topology process flow diagram.
Embodiment
Refer to Fig. 1, the objectification topology analyzing method that the present invention proposes comprises the following steps:
Step 1: set up plant stand class.In plant stand class, comprise the data member such as adjacency matrix in the memory structure of various device, end points, connected node and station, also have initialization first, secondary initialization, form adjacency matrix, topology search, with the member function such as whole topology is mutual.Wherein the storage of adjacency matrix can adopt Dynamic Two-dimensional array to realize;
Step 2: according to each plant stand object of plant stand class initialization first of setting up in step 1.During initialization first, according to the number of system data equipment, end points, connected node, be the memory structure storage allocation of equipment, end points, connected node, and according to the number of connected node, dynamically determine the scale of adjacency matrix in station, establish the in individual plant stand, the number of connected node is , adjacency matrix in individual plant stand object scale be , in juxtaposition matrix, all unit are " 0 ", and do not insert therein data, insert data etc. and are operated in secondary initialization and complete, the object of doing is like this to reduce the required time of initialization, raises the efficiency.
Step 3: take each plant stand object sets up overall adjacency matrix as elementary cell . being initially complete zero battle array, is all plant stand Unified numbers in system, and the specific rules of setting up overall adjacency matrix according to plant stand object and transmission line information is: establish for the sum of plant stand in system, the scale of adjacency matrix is , set up one two-dimensional array, wherein for the sum of plant stand in system, travel through all circuits, if circuit connecting plant stand and plant stand , will with set;
Step 4: determine black startup plant stand, black startup unit and be activated plant stand, be activated unit.According to the needs in the black startup rejuvenation of practical power systems, determine black startup plant stand, black startup unit and be activated plant stand, be activated unit, wherein black startup plant stand mostly is the plant stand of self-startup ability or the plant stand of the ability that restored electricity, and being activated plant stand is dead electricity plant stand to be replied;
Step 5: take black startup plant stand and be activated plant stand and carry out whole topological analysis as target, obtain the path collection that only comprises plant stand object and circuit between each plant stand.According to the black startup plant stand of determining in the adjacency matrix of setting up in step 3 and step 4, be activated plant stand and carry out route searching, thereby obtain the path collection in black startup path, while carrying out whole topological analysis, use breadth-first search or Depth Priority Algorithm.Breadth-first search is from black startup plant stand, by layer successively outwards search, before arbitrary node of lower one deck is searched for, all nodes of this layer must have been searched for, according to the specific requirement of electric system and black-start scheme, carry out 7 layers of search, be black startup plant stand and be activated the plant stand number on path between plant stand and be not more than 7, the path that is greater than 7 for plant stand number is considered as not existing; Depth Priority Algorithm is from black startup plant stand, by a paths, search for down always, until search the ending that is activated plant stand or searches a paths, according to the specific requirement of electric system and black-start scheme, search depth is decided to be to 7, for black startup plant stand be activated the path that plant stand number between plant stand is greater than 7 and be considered as not existing.Two kinds of methods all can obtain black startup plant stand and be activated the path collection between plant stand, all process plant stand numbers are not more than all paths of 7, different places are: use a breadth-first search can obtain path collection, and use repeatedly Depth Priority Algorithm can obtain path collection.
The concrete form of way to acquire is as follows:
Path 1: plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M1> plant stand M1+1
Path 2: plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M2> plant stand M2+1
……,
In <>, be wherein line name;
Step 6: the system data information of take is carried out secondary initialization as basis for the plant stand object on the collection of path; Fig. 2 is the initialized process flow diagram of plant stand object secondary, and the initialization of plant stand object secondary comprises the following steps:
Step 61: first plant stand object on acquisition approach collection;
Step 62: whether the secondary initialization flag position that judges this object is true, if really arrive step 65; Otherwise to step 63;
Step 63: be this plant stand object pad device, end points, the data such as connected node.According to system data, in the data storing structure that initialization is first set up in step 2, insert equipment, end points, the data such as connected node;
Step 64: form adjacency matrix in station according to the annexation of equipment.By the secondary initialization flag position in plant stand object, it is "True".Adjacency matrix in standing in step 2, set up, wherein represent that this plant stand is individual plant stand, forms time, concrete grammar is:
Traversal the all devices in individual plant stand, for the single-ended equipment that only has an end points, only, as the beginning or end in path, does not affect the annexation of network, so needn't consider single-ended equipment while setting up adjacency matrix; For the two end equipment that have two end points, these two end points must connect respectively connected node and connected node , will with set, for the three end equipment that have three end points, and three end points are connecting respectively connected node , connected node and connected node , will , , , , with set;
Step 65: next plant stand object on acquisition approach;
Step 66: repeat 62-65 until last plant stand object to collecting all plant stand objects in path.
Step 7: for the plant stand on path, utilize successively its member function to carry out partial network topology, part in the station in the path that is restored, Fig. 3 is that plant stand object carries out partial network topology process flow diagram, plant stand object carries out partial network topology and comprises the following steps:
Step 71: starting point and the terminal of determining local path search in station according to step 5 gained route result.When the starting point that local path is searched in determining station and terminal, for black startup plant stand, middle plant stand, being activated power plant processes respectively, in black startup plant stand, using and specify generator and wire-outgoing breaker as starting point and terminal that in station, local path is searched for, in middle plant stand, using lead-in circuit breaker and wire-outgoing breaker starting point and the terminal as local path search in station, in being activated power plant, starting point and the terminal of usining lead-in circuit breaker and specifying generator to search for as the interior local path in station, wherein lead-in circuit breaker and wire-outgoing breaker are determined by the path of the topological gained of integral body,
Step 72: the adjacency matrix in the station of setting up in step 6 of take, as basis, utilizes the member function in plant stand object to carry out local path search to starting point definite in step 71 and terminal.The route searching of this part does not need to search out path collection, only need search out the shortest path between starting point and terminal, in standing, local path search is used dijkstra's algorithm to carry out Shortest Path Searching, dijkstra's algorithm principal feature is outwards expansion layer by layer centered by starting point, until expand to terminal, the method can draw a shortest path between start node and destination node, i.e. definite starting point and the shortest path between end device in step 71.When take objectification power network topology analytical approach that black-start scheme generates, be that the black startup decision support system (DSS) on basis and other electric system software are when integrate, the shortest path information that may also need in plant stand other, at this moment, in standing, local path search can be used Floyd algorithm to carry out Shortest Path Searching, and the main feature of the method is by the method for inserting summit, to obtain in the adjacency matrix of figure individual matrix, be the number of connected node in individual plant stand.In last matrix, comprised all internodal shortest paths, the shortest path between all devices, is used the method to provide convenience for other analysis about shortest path in plant stand.
In the station that search obtains, path form the following is: equipment 1 → equipment 2 → ... → equipment N;
Step 73: all plant stand objects in step 5 gained route result are carried out to 71-72;
Step 8: the result of two hierarchical topology analyses is integrated, obtained complete topological analysis result.Route result in each station, with the connection in Global Topological analysis path result, can be obtained to detailed restoration path, and the complete concrete form of topological analysis result is:
Plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M> plant stand M+1
Plant stand 1: equipment 1 → equipment 2 → ... → equipment N 1→ circuit 1
Plant stand 2: circuit 1 → equipment 1 → equipment 2 → ... → equipment N 2→ circuit 2
…………
Plant stand M+1: circuit M → equipment 1 → equipment 2 → ... → equipment N m+1.
The above; it is only preferably embodiment of the present invention; but protection scope of the present invention should be not limited to this; core technology, the variation that can make or replacement that any those skilled in the art of being familiar with disclose according to the present invention, within all should being encompassed in protection scope of the present invention.

Claims (5)

1. the objectification power network topology analytical approach generating for black-start scheme, it is characterized in that, described method is using intrasystem each plant stand as an object, first take each plant stand object carries out Global Topological analysis as elementary cell, then each plant stand object is considered as to a mini system, in plant stand object inside, carry out partial network topology, finally the topological result of two levels is integrated, the method comprises the following steps:
A. set up plant stand class: the data members such as the interior adjacency matrix of memory structure and station that comprise various device, end points, connected node in plant stand class, also have initialization first, secondary initialization, form adjacency matrix, topology search, with the mutual member function of whole topology;
B. according to each plant stand object of plant stand class initialization first of setting up in step a: during initialization first, according to the number of system data equipment, end points, connected node, memory structure storage allocation for equipment, end points, connected node, and according to the number of connected node, dynamically determine the scale of adjacency matrix in station, establish the in individual plant stand, the number of connected node is , adjacency matrix in individual plant stand object scale be , in juxtaposition matrix, all unit are " 0 ";
C. take each plant stand object sets up overall adjacency matrix as elementary cell : be initially complete zero battle array, for all plant stand Unified numbers in system, establish for the sum of plant stand in system, the scale of adjacency matrix is , travel through transmission line of electricity in all systems, if circuit connect plant stand and plant stand , put with for " 1 ";
D. determine black startup plant stand, black startup unit and be activated plant stand, be activated unit;
E. take black startup plant stand and be activated plant stand as target, use breadth-first search to carry out whole topological analysis, obtain the path collection that only comprises plant stand object and circuit between each plant stand:
Path 1: plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M1> plant stand M1+1
Path 2: plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M2> plant stand M2+1
……
In < >, be wherein line name;
F. the system data information of take is carried out secondary initialization as basis for the plant stand object on the collection of path;
G. for the plant stand on path, utilize successively its member function to carry out partial network topology, part in the station in the path that is restored;
H. the result of two hierarchical topology analyses is integrated, obtained complete topological analysis result, the complete concrete form of topological analysis result is:
Plant stand 1< circuit 1> plant stand 2< circuit 2> ... < circuit M> plant stand M+1
Plant stand 1: equipment 1 → equipment 2 → ... → equipment N 1
Plant stand 2: equipment 1 → equipment 2 → ... → equipment N 2
…………
Plant stand M+1: equipment 1 → equipment 2 → ... → equipment N m+1.
2. the objectification power network topology analytical approach generating for black-start scheme according to claim 1, is characterized in that, carries out the initialized concrete steps of secondary as follows for the plant stand object on the collection of path:
1. first plant stand object on acquisition approach collection;
Whether the secondary initialization flag position that 2. judges this object is true, if really arrive step 5.; Otherwise to step 3.;
3. be this plant stand object pad device, end points, the data such as connected node: according to system data, insert equipment, end points, the data such as connected node in the data storing structure that initialization is first set up in step b;
4. according to the annexation of equipment, form adjacency matrix in station , by the secondary initialization flag position in plant stand object, be "True": traversal the all devices in individual plant stand, for the two end equipment that have two end points, these two end points must connect respectively connected node and connected node , will with set, for the three end equipment that have three end points, and three end points are connecting respectively connected node , connected node and connected node , will , , , , with set;
5. next plant stand object on acquisition approach;
6. to path concentrate all plant stand objects repeat 2.-5..
3. the objectification power network topology analytical approach generating for black-start scheme according to claim 1 and 2, is characterized in that, the partial network topology of concrete steps utilize successively its member function to carry out to(for) the plant stand on path are:
I. according to step e gained route result, determine starting point and the terminal of the interior local path search of standing: when the starting point that local path is searched in determining station and terminal, for black startup plant stand, middle plant stand, being activated power plant processes respectively, in black startup plant stand, using and specify generator and wire-outgoing breaker as starting point and terminal that in station, local path is searched for, in middle plant stand, using lead-in circuit breaker and wire-outgoing breaker starting point and the terminal as local path search in station, in being activated power plant, starting point and the terminal of usining lead-in circuit breaker and specifying generator to search for as the interior local path in station,
II. the adjacency matrix in the station of setting up in step f of take is basis, to starting point definite in step I and terminal, utilize the member function in plant stand object to carry out local path search, in standing, dijkstra's algorithm is used in local path search, and in the station that search obtains, path form the following is: equipment 1 → equipment 2 → ... → equipment N;
III. all plant stand objects in step e gained route result are carried out to the processing of step I-II.
4. the objectification power network topology analytical approach generating for black-start scheme according to claim 3, is characterized in that, take black startup plant stand and be activated plant stand and carry out whole topological analysis as target in step e, also can use Depth Priority Algorithm.
5. the objectification power network topology analytical approach generating for black-start scheme according to claim 4, is characterized in that, in step II, while standing interior local path search, uses Floyd algorithm.
CN201410408327.2A 2014-08-19 2014-08-19 The objectification power network topology analysis method generated for black-start scheme Expired - Fee Related CN104156534B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410408327.2A CN104156534B (en) 2014-08-19 2014-08-19 The objectification power network topology analysis method generated for black-start scheme

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410408327.2A CN104156534B (en) 2014-08-19 2014-08-19 The objectification power network topology analysis method generated for black-start scheme

Publications (2)

Publication Number Publication Date
CN104156534A true CN104156534A (en) 2014-11-19
CN104156534B CN104156534B (en) 2017-08-25

Family

ID=51882032

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410408327.2A Expired - Fee Related CN104156534B (en) 2014-08-19 2014-08-19 The objectification power network topology analysis method generated for black-start scheme

Country Status (1)

Country Link
CN (1) CN104156534B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105470945A (en) * 2015-11-09 2016-04-06 南京理工大学 Breadth-first direct-current converter station recovery path generation method
CN105631770A (en) * 2016-01-28 2016-06-01 国网山东省电力公司 Method of automatically creating power supply path based on power grid district model
CN106990354A (en) * 2017-05-27 2017-07-28 西安科技大学 A kind of trip breaker self-adapted search method based on dijkstra's algorithm
CN110768904A (en) * 2019-10-31 2020-02-07 广东电网有限责任公司 Service communication detection method, device, terminal and storage medium for power communication network
CN111064218A (en) * 2018-10-17 2020-04-24 云南电网有限责任公司怒江供电局 Power grid black start multi-target unit recovery optimization method based on multi-target optimization algorithm
CN111864897A (en) * 2020-06-05 2020-10-30 浙江众合科技股份有限公司 Distributed power network topology analysis method based on container cloud micro-service architecture
CN112288237A (en) * 2020-10-12 2021-01-29 国网江苏省电力有限公司镇江供电分公司 Black starter subregion partitioning method based on synergy optimization
CN112734209A (en) * 2020-12-31 2021-04-30 国网山东省电力公司青岛供电公司 Risk early warning method and system for safety and stability control of load-intensive urban power grid

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102044869A (en) * 2009-10-13 2011-05-04 上海电机学院 Special topology analysis method and device for distribution network
CN103020786A (en) * 2012-12-27 2013-04-03 华东电网有限公司 Subblock topology generating method and entire-network topology information acquisition control method for power system
CN103324744A (en) * 2013-07-03 2013-09-25 国家电网公司 Topology search method based on distribution looped network automatic mapping
CN103617318A (en) * 2013-11-27 2014-03-05 国家电网公司 Method for modeling distribution automation power grid
CN103646355A (en) * 2013-12-06 2014-03-19 广东电网公司电力科学研究院 Rapid construction and analysis method for power-grid topology relation
CN103699664A (en) * 2013-12-27 2014-04-02 国家电网公司 Dynamic topology analysis method for power distribution network

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102044869A (en) * 2009-10-13 2011-05-04 上海电机学院 Special topology analysis method and device for distribution network
CN103020786A (en) * 2012-12-27 2013-04-03 华东电网有限公司 Subblock topology generating method and entire-network topology information acquisition control method for power system
CN103324744A (en) * 2013-07-03 2013-09-25 国家电网公司 Topology search method based on distribution looped network automatic mapping
CN103617318A (en) * 2013-11-27 2014-03-05 国家电网公司 Method for modeling distribution automation power grid
CN103646355A (en) * 2013-12-06 2014-03-19 广东电网公司电力科学研究院 Rapid construction and analysis method for power-grid topology relation
CN103699664A (en) * 2013-12-27 2014-04-02 国家电网公司 Dynamic topology analysis method for power distribution network

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
李丁: "电力系统黑启动方案自动形成系统研究", 《中国优秀硕士论文全文数据库(工程科技II辑)》 *
林济铿等: "电力系统黑启动初始方案的自动形成", 《电力系统自动化》 *
蒋越梅: "电力系统黑启动的研究", 《全国优秀硕士论文全文数据库(工程科技II辑)》 *
陈世君等: "基于面向对象的电力系统网络拓扑分析模块设计及应用", 《低碳世界》 *
高远望: "黑启动决策支持系统中启动方案的自动生成和评估", 《中国优秀硕士学位论文全文数据库(工程科技II辑)》 *
高远望等: "电力系统黑启动方案的自动生成与评估", 《电力系统自动化》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105470945A (en) * 2015-11-09 2016-04-06 南京理工大学 Breadth-first direct-current converter station recovery path generation method
CN105631770A (en) * 2016-01-28 2016-06-01 国网山东省电力公司 Method of automatically creating power supply path based on power grid district model
CN106990354A (en) * 2017-05-27 2017-07-28 西安科技大学 A kind of trip breaker self-adapted search method based on dijkstra's algorithm
CN106990354B (en) * 2017-05-27 2019-03-19 西安科技大学 A kind of trip breaker self-adapted search method based on dijkstra's algorithm
CN111064218A (en) * 2018-10-17 2020-04-24 云南电网有限责任公司怒江供电局 Power grid black start multi-target unit recovery optimization method based on multi-target optimization algorithm
CN110768904A (en) * 2019-10-31 2020-02-07 广东电网有限责任公司 Service communication detection method, device, terminal and storage medium for power communication network
CN110768904B (en) * 2019-10-31 2022-02-15 广东电网有限责任公司 Service communication detection method, device, terminal and storage medium for power communication network
CN111864897A (en) * 2020-06-05 2020-10-30 浙江众合科技股份有限公司 Distributed power network topology analysis method based on container cloud micro-service architecture
CN112288237A (en) * 2020-10-12 2021-01-29 国网江苏省电力有限公司镇江供电分公司 Black starter subregion partitioning method based on synergy optimization
CN112734209A (en) * 2020-12-31 2021-04-30 国网山东省电力公司青岛供电公司 Risk early warning method and system for safety and stability control of load-intensive urban power grid
CN112734209B (en) * 2020-12-31 2022-07-29 国网山东省电力公司青岛供电公司 Risk early warning method and system for safety and stability control of load-intensive urban power grid

Also Published As

Publication number Publication date
CN104156534B (en) 2017-08-25

Similar Documents

Publication Publication Date Title
CN104156534A (en) Objectification power grid topology analysis method for generating black-start scheme
US20180375373A1 (en) Impact increments-based state enumeration reliability assessment approach and device thereof
Li et al. Location identification of power line outages using PMU measurements with bad data
CN109474023B (en) Intelligent power distribution network section real-time updating method and system, storage medium and terminal
CN107611962B (en) Power grid system branch searching method and system and electronic equipment
US11314830B2 (en) Method and apparatus for automatically discovering gas station POI, storage medium and device
CN104077393B (en) A kind of optimal splitting fracture surface searching method based on semi-supervised spectral clustering
CN104463715A (en) Pattern and model verifying method of distribution automation master station system and geographical information system
CN104466959A (en) Power system key line identification method and system
CN105813092B (en) A kind of building network coverage optimization method and device based on ticket
CN105140919A (en) Method for rapid topology analysis and establishment of topological island based on graph theory
CN111077409A (en) Power distribution network complex fault positioning method based on D-PMU finite node information
CN112990538A (en) Method, device and equipment for determining current collection circuit of mountain photovoltaic power station
CN104954164B (en) A kind of method that data center network structure is fault-tolerant
CN112505476A (en) Power distribution network fault traveling wave positioning method based on binary tree and multi-terminal time information
Yang et al. PMU placement for optimal three-phase state estimation performance
CN112464545B (en) Layout method, system, equipment and medium for cables and transformer substation of offshore wind farm
CN113488996A (en) Power distribution network protogram modeling method based on distributed parallel graph computing framework
Khare et al. Optimal PMU placement using matrix modification based integer linear programming
Cho et al. A very efficient redundancy analysis method using fault grouping
CN117060378A (en) Load power supply path tracking method based on breadth-first search spanning tree
CN104993483A (en) Power transmission channel dynamic identifying method based on real-time power flow
CN115375084A (en) Graph database construction method and system based on electric power data
CN102902623B (en) Implementation method for test optimization of complex system
CN113077150A (en) Reliability assessment method and system for offshore multi-platform interconnected power system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170825

Termination date: 20210819

CF01 Termination of patent right due to non-payment of annual fee