CN104573948A - Distribution network topology analysis method based on distributed computation - Google Patents
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Abstract
The invention discloses a distribution network topology analysis method based on a distributed computation. The method comprises the steps of performing data partitioning on a distribution network data set, so as to form a plurality of data partitions; constructing distributed DSCADA cluster service to be used for managing the data partitions; adopting a distributed computation method to concurrently analyze distribution network topology in different data partitions by being based on the DSCADA cluster service; splicing the parallel analysis results of the distribution network topology in the relevant data partitions, so as to form a topology analysis result, and providing uniform access interfaces for an upper layer application program to call the topology analysis result,. T he method can improve the data handling capacity and the topology analysis efficiency.
Description
Technical field
The present invention relates to electrical power distribution automatization system technical field, particularly relate to a kind of distribution topology analyzing method based on Distributed Calculation.
Background technology
Along with the quickening of urban-rural integration process, the area that builds up of city and administrative counties and districts thereof constantly increases, and distribution network scale also expands thereupon, and grid structure is increasingly sophisticated, and the method for operation is more flexible.The so huge real time data of DSCADA service processing of tradition active-standby mode, master server subjects huge pressure, the reduction of data-handling efficiency and the reduction of system stability certainly will be caused, simultaneously as the topological analysis program on distribution analytical applications basis, analyze huge network topology like this and also must take ample resources and reduce execution efficiency.So the fast development in order to adapt to distribution, in the urgent need to realizing a kind of distribution topology analyzing method based on Distributed Calculation, improve data-handling capacity and topological analysis efficiency, the reliable and stable operation of safeguards system.
Summary of the invention
Technical matters to be solved by this invention is, provides a kind of distribution topology analyzing method based on Distributed Calculation, improves data-handling capacity and topological analysis efficiency.
In order to solve the problems of the technologies described above, the invention provides a kind of distribution topology analyzing method based on Distributed Calculation, comprising:
Some data partitions are formed to distribution data set pair Data Segmentation;
Build distributed DSCADA cluster service, for managing described some data partitions;
Based on described DSCADA cluster service, what adopt the method for Distributed Calculation to walk abreast analyzes the distribution topology of different pieces of information subregion;
The parallel parsing result of the distribution topology of related data subregion is spliced, forms topological analysis result, and provide unified access interface to call described topological analysis result to upper level applications.
Further, described some data partitions are formed to distribution data set pair Data Segmentation, specifically comprise:
According to feeder line belonging to data, some data partitions are formed to distribution data set pair Data Segmentation, and under install to real-time database, wherein each described data partition comprises the data set of some feeder lines, between described some data partitions without occur simultaneously.
Further, the distributed DSCADA cluster service of described structure, specifically comprises:
Adopt distributed structure/architecture by some DSCADA server sets, form distributed DSCADA cluster service; Wherein, each described DSCADA server only processes the data of local data subregion.
Further, the distributed DSCADA cluster service of described structure, also comprises: arrange some DSCADA in each described DSCADA server and apply, and each described DSCADA applies corresponding one group of DSCADA process; Wherein, one group of DSCADA process of each described DSCADA application is for managing a data partition.
Further, the distributed DSCADA cluster service of described structure, also comprises: arrange main partition and backup area to each described DSCADA application; Wherein, when distribution network systems state changes, data partition automatic load balancing, ensures that all data partitions have all the time and only have a main partition and a back-up district.
Further, described based on described DSCADA cluster service, what adopt the method for Distributed Calculation to walk abreast analyzes the distribution topology of different pieces of information subregion, specifically comprise: each the DSCADA server in described DSCADA cluster service runs topological analysis program simultaneously, thus distribution topological analysis is carried out to the data parallel of the data partition of this locality.
Further, the parallel parsing result of the distribution topology of related data subregion is spliced, form topological analysis result, specifically comprise: adopt the parallel parsing result of Centroid to the distribution topology of related data subregion to splice, form topological analysis result.
Further, describedly unified access interface is provided to call described topological analysis result to upper level applications, specifically comprise: described Centroid adopts data access service to call described topological analysis result for upper level applications provides unified access to connect, thus contacting directly between shielding upper level applications and backstage topological analysis service.
Implement the present invention, there is following beneficial effect:
1, the present invention regularly carries out subregion to distribution data, and after subregion, each partition data is relatively independent, reduces Topological Complexity;
2, the present invention adopts distributed DSCADA cluster service, and each DSCADA server only processes the data of local data subregion, has effectively shared the pressure of system data process;
3, the present invention adopts data partition concurrent topology analysis, and by Centroid, each data partition topological analysis result is spliced, ensure that integrality and the correctness of topological analysis, improve topological analysis efficiency, avoid the ample resources caused due to the whole distribution topology of one-time calculation and take.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of an embodiment of the distribution topology analyzing method based on Distributed Calculation provided by the invention;
Fig. 2 is the structural drawing of the distribution network systems corresponding based on the distribution topology analyzing method of Distributed Calculation provided by the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 is the schematic flow sheet of an embodiment of the distribution topology analyzing method based on Distributed Calculation provided by the invention, as shown in Figure 1, comprises step:
S101, some data partitions are formed to distribution data set pair Data Segmentation.
Concrete, step S101 specifically comprises step:
According to feeder line belonging to data, some data partitions are formed to distribution data set pair Data Segmentation, and under install to real-time database, wherein each described data partition comprises the data set of some feeder lines, between described some data partitions without occur simultaneously.
Understandable, the data partition of distribution data collection also can be split according to other rules.Partition data obtains affiliated data partition by recording the anti-feeder line table of looking in affiliated feeder line territory carried.
Likely need in distribution network systems operational process to increase a data partition dynamically, or reduce by a data partition.If data partition numbering not necessarily maximum numbering add 1, can be any integer value not have to use, can increase or reduce the data partition of arbitrary number for DSCADA applies.
S102, build distributed DSCADA cluster service, for managing described some data partitions.
Concrete, described step: build distributed DSCADA cluster service, specifically comprise:
Adopt distributed structure/architecture by some DSCADA server sets, form distributed DSCADA cluster service; Wherein, each described DSCADA server only processes the data of local data subregion;
Arrange some DSCADA in each described DSCADA server to apply, each described DSCADA applies corresponding one group of DSCADA process; Wherein, one group of DSCADA process of each described DSCADA application is for managing a data partition;
Main partition and backup area are arranged to each described DSCADA application; Wherein, when distribution network systems state changes, data partition automatic load balancing, ensures that all data partitions have all the time and only have a main partition and a back-up district.
Wherein, each described DSCADA application arranges active and standby dividing, and is the redundancy ensureing data.Such as: ground is in harmonious proportion each county adjust Data Placement become 12 partition datas, system has 4 DSCADA servers, and so the subregion state of distribution network systems is as follows:
Namely dsca01 server only processes the data of 1,2,3 number subregions, and as the standby host of 4,7,10 number partition data process, the data not reprocessing of other data partitions, like this relative to traditional DSCADA active-standby mode, at least reduces the load of half.
S103, based on described DSCADA cluster service, what adopt the method for Distributed Calculation to walk abreast analyzes the distribution topology of different pieces of information subregion.
Concrete, described step S103 specifically comprises step: each the DSCADA server in described DSCADA cluster service runs topological analysis program simultaneously, thus carries out distribution topological analysis to the data parallel of the data partition of this locality.
A distinguishing feature of distribution is that between regional, equipment topological correlation is less, such as, does not in general associate between the distribution line of counties and districts and the distribution line of main city zone.Based on this feature, as long as data partition is reasonable, each group DSCADA server can runs topological analysis program simultaneously, only topological analysis calculating is carried out to the district power distribution pessimistic concurrency control that this node comprises, substantially increase the efficiency of topological analysis.
During multiple topological analysis program parallelization process, corresponding lock system need being increased, mutual exclusion management is carried out to the database manipulation that the program of different partition running is carried out, in order to improve lock efficiency, being divided into two-stage: table lock and point mortice lock.The operation of table level is responsible for by table lock, mainly to the read-write operation relating to major key index and relative index.Point mortice lock is responsible for the data manipulation in burst, comprises the reading of record, increases, deletes, changes.Two-stage lock all comprises Read-Write Locks.
S104, the parallel parsing result of the distribution topology of related data subregion to be spliced, form topological analysis result, and provide unified access interface to call described topological analysis result to upper level applications.
Concrete, described step: the parallel parsing result of the distribution topology of related data subregion is spliced, form topological analysis result, specifically comprise step: adopt the parallel parsing result of Centroid to the distribution topology of related data subregion to splice, form topological analysis result.
Concrete, described step: provide unified access interface to call described topological analysis result to upper level applications, specifically comprise: described Centroid adopts data access service to call described topological analysis result for upper level applications provides unified access to connect, thus contacting directly between shielding upper level applications and backstage topological analysis service.
Generally, distribution each data partition topology is relatively independent, but still there is transregional topological analysis, and for upper layer application, any oneself can not analyze the subregion topology needed will go to get to station server, this just needs distribution network systems to splice topology and to provide unified access interface, and in order to solve the problem, distribution network systems introduces Centroid.
As shown in Figure 2, node data service arrangement is on the node of data partition, and the data access of this data partition node of all sensings finally all can point to this service.The data of this node are only responsible in node data service, do not possess global knowledge, and therefore only may return the data on this node, for the data being deployed in this node, return data does not exist.And Centroid is the node uniquely possessing global knowledge in system, therefore all global data inquiries and location are all completed by centre data service.Centre data service comprises two aspects, data access service and location index service.Data access service completes all inquiries to non-directional data.Location index service is that all data location provide support.Location index service depends on the overall major key index that Centroid is set up, and this index is the amplification of the major key index on the node of data partition, includes the mapping relations of often opening all major keys of data partition table and affiliated data partition.The lower dress distributing programs of this index file when Centroid starts by Xia Zhuan Distribution Center is set up, and is safeguarded by model maintenance service.The Centroid that Centroid is applied with SCADA in systems in which overlaps, and therefore can have active and standby.On the one hand, the data of index file carry out coherency management by model maintenance service, and on the other hand, all inquiries by Centroid all can provide index to hit information, with the validity of supported data for index file.Therefore, Centroid can carry out splicing to power distribution network topology, and unified access interface can be provided to upper level applications to call the result of topological analysis.
Implement the present invention, there is following beneficial effect:
1, the present invention regularly carries out subregion to distribution data, and after subregion, each partition data is relatively independent, reduces Topological Complexity;
2, the present invention adopts distributed DSCADA cluster service, and each DSCADA server only processes the data of local data subregion, has effectively shared the pressure of system data process;
3, the present invention adopts data partition concurrent topology analysis, and by Centroid, each data partition topological analysis result is spliced, ensure that integrality and the correctness of topological analysis, improve topological analysis efficiency, avoid the ample resources caused due to the whole distribution topology of one-time calculation and take.
It should be noted that, in this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or device and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or device.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the device comprising this key element and also there is other identical element.
Professional can also recognize further, in conjunction with unit and the algorithm steps of each example of embodiment disclosed herein description, can realize with electronic hardware, computer software or the combination of the two, in order to the interchangeability of hardware and software is clearly described, generally describe composition and the step of each example in the above description according to function.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can use distinct methods to realize described function to each specifically should being used for, but this realization should not thought and exceeds scope of the present invention.
The software module that the method described in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to perform, or the combination of the two is implemented.Software module can be placed in the storage medium of other form any known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (8)
1., based on a distribution topology analyzing method for Distributed Calculation, it is characterized in that, comprising:
Some data partitions are formed to distribution data set pair Data Segmentation;
Build distributed DSCADA cluster service, for managing described some data partitions;
Based on described DSCADA cluster service, what adopt the method for Distributed Calculation to walk abreast analyzes the distribution topology of different pieces of information subregion;
The parallel parsing result of the distribution topology of related data subregion is spliced, forms topological analysis result, and provide unified access interface to call described topological analysis result to upper level applications.
2. as claimed in claim 1 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, described some data partitions formed to distribution data set pair Data Segmentation, specifically comprise:
According to feeder line belonging to data, some data partitions are formed to distribution data set pair Data Segmentation, and under install to real-time database, wherein each described data partition comprises the data set of some feeder lines, between described some data partitions without occur simultaneously.
3., as claimed in claim 1 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, the distributed DSCADA cluster service of described structure, specifically comprises:
Adopt distributed structure/architecture by some DSCADA server sets, form distributed DSCADA cluster service;
Wherein, each described DSCADA server only processes the data of local data subregion.
4., as claimed in claim 3 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, the distributed DSCADA cluster service of described structure, also comprises:
Arrange some DSCADA in each described DSCADA server to apply, each described DSCADA applies corresponding one group of DSCADA process;
Wherein, one group of DSCADA process of each described DSCADA application is for managing a data partition.
5., as claimed in claim 4 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, the distributed DSCADA cluster service of described structure, also comprises:
Main partition and backup area are arranged to each described DSCADA application;
Wherein, when distribution network systems state changes, data partition automatic load balancing, ensures that all data partitions have all the time and only have a main partition and a back-up district.
6. as claimed in claim 1 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, described based on described DSCADA cluster service, what adopt the method for Distributed Calculation to walk abreast analyzes the distribution topology of different pieces of information subregion, specifically comprises:
Each DSCADA server in described DSCADA cluster service runs topological analysis program simultaneously, thus carries out distribution topological analysis to the data parallel of the data partition of this locality.
7. as claimed in claim 1 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, the parallel parsing result of the described distribution topology to related data subregion is spliced, and forms topological analysis result, specifically comprises:
Adopt the parallel parsing result of Centroid to the distribution topology of related data subregion to splice, form topological analysis result.
8., as claimed in claim 7 based on the distribution topology analyzing method of Distributed Calculation, it is characterized in that, described in provide unified access interface to call described topological analysis result to upper level applications, specifically comprise:
Described Centroid adopts data access service to call described topological analysis result for upper level applications provides unified access to connect, thus contacting directly between shielding upper level applications and backstage topological analysis service.
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| CN105071994A (en) * | 2015-08-27 | 2015-11-18 | 许继集团有限公司 | Mass data monitoring system |
| CN113406443A (en) * | 2021-08-02 | 2021-09-17 | 广东电网有限责任公司东莞供电局 | Low-voltage transformer area fault accurate positioning system and method |
| CN115203226A (en) * | 2022-09-08 | 2022-10-18 | 北京奥星贝斯科技有限公司 | Distributed meter lock operation method, device and equipment |
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| CN103577938A (en) * | 2013-11-15 | 2014-02-12 | 国家电网公司 | Power grid dispatching automation main-and-standby system model synchronizing method and synchronizing system thereof |
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| CN102496072A (en) * | 2011-12-19 | 2012-06-13 | 国电南瑞科技股份有限公司 | System for estimating distributive state of intelligent transformer station |
| CN103412897A (en) * | 2013-07-25 | 2013-11-27 | 中国科学院软件研究所 | Parallel data processing method based on distributed structure |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105071994A (en) * | 2015-08-27 | 2015-11-18 | 许继集团有限公司 | Mass data monitoring system |
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| CN113406443A (en) * | 2021-08-02 | 2021-09-17 | 广东电网有限责任公司东莞供电局 | Low-voltage transformer area fault accurate positioning system and method |
| CN115203226A (en) * | 2022-09-08 | 2022-10-18 | 北京奥星贝斯科技有限公司 | Distributed meter lock operation method, device and equipment |
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