CN113190961B - Implementation method for distribution network abnormal movement multitask model reconstruction - Google Patents
Implementation method for distribution network abnormal movement multitask model reconstruction Download PDFInfo
- Publication number
- CN113190961B CN113190961B CN202110333085.5A CN202110333085A CN113190961B CN 113190961 B CN113190961 B CN 113190961B CN 202110333085 A CN202110333085 A CN 202110333085A CN 113190961 B CN113190961 B CN 113190961B
- Authority
- CN
- China
- Prior art keywords
- distribution network
- model
- gisid
- equipment
- city information
- 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.)
- Active
Links
- 238000009826 distribution Methods 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 38
- 208000012661 Dyskinesia Diseases 0.000 title description 3
- 230000002159 abnormal effect Effects 0.000 claims abstract description 28
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000012546 transfer Methods 0.000 claims abstract description 9
- 238000000605 extraction Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 230000009466 transformation Effects 0.000 claims 1
- 239000013598 vector Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a realization method for reconstruction of a distribution network abnormal multi-task model, which is characterized by comprising the following steps: receiving a special single feeder city information model of a geographic information system through a file transfer protocol; analyzing the city information model, importing the city information model into an intermediate database in an incremental mode, and recording the GISID of the city information model; selecting operation equipment on the red graph, and recording the operation equipment GISID in the SVG format image through a background service process; positioning the pre-commissioning equipment in an intermediate database according to the equipment GISID in the SVG format image, and importing the parameters of the pre-commissioning equipment into an operation logic library; releasing the pre-commissioning device parameters of the operation logic library to the operation physical library to complete the reconstruction of the abnormal model; the invention improves the daily dispatching operation of the distribution network and the operation efficiency of the distribution network equipment; meanwhile, the consistency of the distribution network system and the field actual situation is ensured, and important guarantee is provided for the safe operation of the distribution network.
Description
Technical Field
The invention relates to the technical field of power distribution network model reconstruction, in particular to a method for realizing distribution network abnormal multi-task model reconstruction.
Background
Because of the demands of urban construction, road extension and reconstruction, the network model and the topology structure of the distribution network are frequently changed, the condition that a plurality of lines are simultaneously reconstructed or the same line is repeatedly reconstructed within a short period is quite common, and even the same line is often provided with a plurality of work orders to be simultaneously performed, so that the workload of a distribution network dispatching system for processing graph model abnormal movement is huge and the flow is complex, and particularly, the operation request of the same line multiplexing order is difficult to process, and the daily dispatching operation of the distribution network and the operation efficiency of distribution network equipment are seriously influenced.
The existing feeder equipment can only convert the abnormal model into the put-in-operation state at one time, and does not support part of put-in-operation functions. However, in actual use, the requirements of once modeling and abnormal fractional release are often needed, for example, an automation person draws all equipment to be put into operation on one red graph at a time, and a model is also built, but in practice, the equipment to be put into operation is required to be put into operation in batches and fractional stages, so that a dispatcher needs to release the equipment in batches when releasing, the traditional release operation of the whole feeder line is changed into release operation of part of equipment, and in the prior art, the whole model can only be released into an operation database at one time, so that the whole release and operation mechanism can not meet the requirements of a dispatcher, and the local release and operation of the feeder line are required to be realized through a model reconstruction mode.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems occurring in the prior art.
Therefore, the invention provides a realization method for reconstruction of the distribution network abnormal multi-task model, which can control the whole dynamic change process of the distribution network model and solve the limitation of overall release and operation.
In order to solve the technical problems, the invention provides the following technical scheme: receiving a special single feeder city information model of a geographic information system through a file transfer protocol; analyzing the city information model, importing the city information model into an intermediate database in an incremental mode, and recording the GISID of the city information model; selecting operation equipment on the red graph, and recording the operation equipment GISID in the SVG format image through a background service process; positioning pre-commissioning equipment in the intermediate database according to the equipment GISID in the SVG format image, and importing parameters of the pre-commissioning equipment into an operation logic library; and releasing the pre-commissioning device parameters of the operation logic library to the operation physical library to complete the reconstruction of the abnormal model.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: analyzing the city information model comprises constructing a 3-layer XML tree based on the city information model, traversing the XML tree through an open source XML analysis package, and extracting root node information of the XML tree; and classifying the extraction results through the Type attribute, and storing the classification results in five lists of class, package, attribute, instance and data Type respectively.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: the incremental mode comprises the steps of sequencing the city information models according to the time stamps contained in the five lists, and obtaining one city information model with the latest time in the multi-time transaction file.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: the red graph is a graph for preparing for dispatch after the implementation of the line improvement plan.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: the GISID is a special identification of the geographic information system equipment.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: positioning the pre-commissioning device comprises the steps that the GISID of the urban information model is stored in the intermediate database, the device GISID in the SVG format image is matched with the GISID of the urban information model of the intermediate database, and if the device GISID in the SVG format image is consistent with the GISID of the urban information model of the intermediate database, the commissioning device selected on the red graph is indicated to be the pre-commissioning device.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: the parameters of the pre-commissioning devices comprise the connection relation between the pre-commissioning devices and the attribute of the pre-commissioning devices.
As a preferable scheme of the implementation method of the distribution network abnormal multi-task model reconstruction, the invention comprises the following steps: the open source XML parsing package is DOM4J.
The invention has the beneficial effects that: the invention can meet the requirement of one-time modeling of automation personnel, and the dispatching personnel can issue and operate for many times, so that the dispatching personnel and the automation personnel can switch between a real power grid model and a future power grid model, and the daily dispatching operation of the distribution network and the operation efficiency of the distribution network equipment are improved; meanwhile, the consistency of the distribution network system and the field actual situation is ensured, and important guarantee is provided for the safe operation of the distribution network.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a flow chart of a method for implementing reconstruction of a distribution network abnormal multi-task model according to a first embodiment of the present invention;
fig. 2 is a schematic diagram showing a comparison of operation time of an implementation method of the distribution network abnormal multi-task model reconstruction according to a second embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, a method for implementing configuration network transaction multi-task model reconstruction is provided in a first embodiment of the present invention, including:
s1: and receiving the abnormal single feeder city information model of the geographic information system through a file transfer protocol.
It should be noted that the file transfer protocol (File Transfer Protocol, FTP) is a standard set of protocols for file transfer over networks, which operates in the seventh layer of the OSI model, the fourth layer of the TCP model, i.e. the application layer, using TCP transfer instead of UDP, and the client goes through a "three-way handshake" process before establishing a connection with the server, ensuring that the connection between the client and the server is reliable, and is connection-oriented, providing a reliable guarantee for data transfer.
The geographic information system (Geographic Information System, GIS) is a computer-based tool that can analyze and process spatial information.
The city information model (City Information Modeling, CIM) is an organic complex of city information based on Building Information Model (BIM), geographic Information System (GIS), internet of things (IoT) and other technologies, integrating city overground underground, indoor and outdoor, historical current future multidimensional multi-scale information model data and city perception data, and constructing a three-dimensional digital space.
A feeder model includes a plurality of transactions.
S2: analyzing the city information model, importing the city information model into an intermediate database in an incremental mode, and recording the GISID of the city information model.
The steps of analyzing the city information model are as follows:
(1) Constructing a 3-layer XML tree based on the city information model, traversing the XML tree through an open source XML parsing package, and extracting root node information of the XML tree;
it should be noted that, the XML (Extensible Markup Language) document uses tree structure expression, and starts with root node root, and gradually diverges downwards; it uses a simple syntax that can describe itself; an XML document is divided into two large parts, a file prologue (declassification) and a file body. The file preamble is what the XML file must declare, and must also be in the first line of the XML file, which mainly tells the XML parser how to work; the root element follows, and in XML, each element needs to have a matching end tag.
The GISID is a special identification of the geographic information system equipment, and has uniqueness in the geographic information system.
The partial code of the constructed 3-layer XML tree is as follows:
further, the XML tree is traversed through the DOM4J, and root node information of the XML tree is extracted.
Wherein DOM4J is an open source XML parsing package produced by dom4j.org, is an easy-to-use, open source library, and is used for XML, XPath and XSLT; the Java collection framework is applied to a Java platform, and fully supports DOM, SAX and JAXP.
(2) And classifying the extraction results through Type attributes, and storing the classification results in five lists of Class, package, property, indivisual and Datatype respectively.
Further, the city information models are sorted in an incremental mode according to the time stamps contained in the five lists, then are sequentially imported into an intermediate database of the storage model, the corresponding GISIDs are recorded, and one city information model with the latest time in the multi-transaction file can be obtained through sorting.
S3: and selecting the operation equipment on the red graph, and recording the operation equipment GISID in the SVG format image through a background service process.
The red chart indicates a state of the feeder single line diagram, and refers to a graph of a schedule ready for use after the implementation of the line improvement plan.
The main functions of the background service process are as follows:
s4: and positioning the pre-commissioning equipment in the intermediate database according to the equipment GISID in the SVG format image, and importing the parameters of the pre-commissioning equipment into the operation logic library.
Note that SVG (Scalable Vector Graphics) is a language defined by XML, and is used to describe two-dimensional vectors and vector/grid patterns; the GISIDs of the city information model are stored in an intermediate database.
And matching the equipment GISID in the SVG format image with the GISID of the urban information model of the intermediate database, and if the equipment GISID in the SVG format image is consistent with the GISID of the urban information model of the intermediate database, indicating that the selected commissioning equipment on the red graph is the pre-commissioned equipment.
Further, the parameters of the pre-commissioning device are imported into the operating logic library.
The parameters of the pre-commissioning device comprise the connection relation among the pre-commissioning devices and the attributes of the pre-commissioning devices, wherein the attributes of the pre-commissioning devices are management and statistics on users, lines, devices, running conditions and power supply areas.
S5: and releasing the pre-commissioning device parameters of the operation logic library to the operation physical library to complete the reconstruction of the abnormal model.
If other abnormal equipment combinations are required to be put into operation, the steps S3 to S5 can be repeated to finish the operation of other abnormal equipment.
Example 2
In order to verify and explain the technical effects adopted in the method, the embodiment selects the traditional technical scheme and adopts the method to carry out comparison test, and the test results are compared by means of scientific demonstration so as to verify the true effects of the method.
The traditional technical scheme can only put all abnormal equipment of a model into operation at one time, and can not meet the requirement of multiple release and operation of a dispatcher.
In order to verify that the method has higher efficiency of daily dispatching operation of the distribution network and operation of the distribution network equipment compared with the traditional technical scheme, in the embodiment, the traditional technical scheme and the method are adopted to respectively operate 50 distribution network abnormal equipment, and the required operation time is compared in real time, and the result is shown in fig. 2.
Compared with the traditional technical scheme, the method improves the average efficiency of daily dispatching operation of the distribution network and operation of distribution network equipment by more than 95 percent as shown in fig. 2.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (6)
1. A realization method for reconstruction of a distribution network abnormal multi-task model is characterized by comprising the following steps: comprising the steps of (a) a step of,
receiving a special single feeder city information model of the geographic information system through a file transfer protocol;
analyzing the city information model, importing the city information model into an intermediate database in an incremental mode, and recording the GISID of the city information model;
selecting operation equipment on the red graph, and recording the operation equipment GISID in the SVG format image through a background service process;
positioning pre-commissioning equipment in the intermediate database according to the equipment GISID in the SVG format image, and importing parameters of the pre-commissioning equipment into an operation logic library;
releasing the pre-commissioning device parameters of the operation logic library to the operation physical library to complete the reconstruction of the abnormal model;
the red graph is a graph for preparing for use in scheduling after the implementation of the line transformation plan;
the GISID is a special identification of the geographic information system equipment.
2. The method for implementing the reconstruction of the distribution network abnormal multi-task model according to claim 1, wherein the method comprises the following steps: parsing the model of the city information includes,
constructing a 3-layer XML tree based on the city information model, traversing the XML tree through an open source XML parsing package, and extracting root node information of the XML tree;
and classifying the extraction results through the Type attribute, and storing the classification results in five lists of class, package, attribute, instance and data Type respectively.
3. The method for implementing the reconstruction of the distribution network abnormal multi-task model according to claim 2, which is characterized in that: the manner of the increment includes,
and sequencing the city information models according to the time stamps contained in the five lists, and obtaining one city information model with the latest time in the multi-transaction file.
4. A method for implementing a distribution network transaction multi-task model reconstruction as defined in claim 3, wherein: positioning the pre-commissioning device includes,
and the GISID of the city information model is stored in the intermediate database, the device GISID in the SVG format image and the GISID of the city information model of the intermediate database are matched, and if the device GISID in the SVG format image is consistent with the GISID of the city information model of the intermediate database, the operation device selected on the red graph is indicated to be the pre-operation device.
5. The method for implementing the reconstruction of the distribution network abnormal multi-task model according to claim 4, wherein the method comprises the following steps: the parameters of the pre-commissioning device include,
connection relation between pre-commissioned devices and attributes of the pre-commissioned devices.
6. The method for implementing the reconstruction of the distribution network abnormal multi-task model according to claim 2, which is characterized in that: the open source XML parsing package is DOM4J.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110333085.5A CN113190961B (en) | 2021-03-29 | 2021-03-29 | Implementation method for distribution network abnormal movement multitask model reconstruction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110333085.5A CN113190961B (en) | 2021-03-29 | 2021-03-29 | Implementation method for distribution network abnormal movement multitask model reconstruction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113190961A CN113190961A (en) | 2021-07-30 |
| CN113190961B true CN113190961B (en) | 2024-04-12 |
Family
ID=76974169
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110333085.5A Active CN113190961B (en) | 2021-03-29 | 2021-03-29 | Implementation method for distribution network abnormal movement multitask model reconstruction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113190961B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520163A (en) * | 2018-08-06 | 2018-09-11 | 中国能源建设集团湖南省电力设计院有限公司 | Three-dimensional net rack method for automatic modeling based on CIM model and SVG figures |
| CN112507499A (en) * | 2020-12-02 | 2021-03-16 | 广东电网有限责任公司 | GIS-based power distribution network line loss data acquisition method and related device |
-
2021
- 2021-03-29 CN CN202110333085.5A patent/CN113190961B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520163A (en) * | 2018-08-06 | 2018-09-11 | 中国能源建设集团湖南省电力设计院有限公司 | Three-dimensional net rack method for automatic modeling based on CIM model and SVG figures |
| CN112507499A (en) * | 2020-12-02 | 2021-03-16 | 广东电网有限责任公司 | GIS-based power distribution network line loss data acquisition method and related device |
Non-Patent Citations (1)
| Title |
|---|
| 配电网自动化管理系统模型动态变化处理机制;沈浩东;赵京虎;杜红卫;朱红;李伟;许先锋;苏标龙;;电力系统自动化;20070330(第06期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113190961A (en) | 2021-07-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109165394B (en) | Standardized BIM model lightweight realization method | |
| CN102750406B (en) | Multi-version management method for model set and difference model-based power grid model | |
| CN110782047A (en) | Intelligent label system | |
| CN105760272B (en) | Monitoring backstage business customizing method and its system based on plug-in unit | |
| CN111708752B (en) | Three-dimensional standard model library management system for power transmission equipment | |
| CN105207366B (en) | Distribution terminal plug and play model configuration tool and its implementation based on IEC61850 | |
| CN101996271A (en) | Software interface for automatically generating simulation calculation model of PSCAD power system | |
| CN110532047B (en) | Power grid graph standardization system for regulating and controlling cloud platform | |
| CN104104719A (en) | Demonstration method for power grid real-time flow diagram in power grid dispatching mobile application | |
| CN107463706A (en) | A kind of storage of magnanimity recorder data and parsing method and system based on Hadoop | |
| CN112328323B (en) | Relay protection device capability description file generation system | |
| CN107748902A (en) | A kind of method for matching somebody with somebody insertion data acquisition based on scene battalion | |
| CN113094932A (en) | Method, device, equipment and storage medium for acquiring construction cost of power transformation project | |
| CN113516331A (en) | Building data processing method and device | |
| CN105704184A (en) | Power grid organization analysis system based on level framework and analysis method | |
| CN113642850B (en) | Data fusion method and terminal for power distribution network planning | |
| CN113190961B (en) | Implementation method for distribution network abnormal movement multitask model reconstruction | |
| CN117057335B (en) | Intelligent generation method for four pre-schemes of flood control in drainage basin | |
| CN109544323A (en) | A kind of intelligent management system of credit card number | |
| CN109561155A (en) | A kind of monitoring of substation equipment remote centralized and O&M method | |
| CN106844819B (en) | Intelligent station secondary graph model library design tool database acquisition system | |
| CN113659712A (en) | Power equipment big data label operation platform and method | |
| CN105930295B (en) | A kind of method and device of secondary equipment of intelligent converting station plug and play | |
| CN115002236A (en) | Edge soft gateway for visual configuration of data protocol | |
| CN107391133A (en) | A kind of application generator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |