CN104682560A - Graphical verifying method for power distribution network model transaction - Google Patents

Graphical verifying method for power distribution network model transaction Download PDF

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Publication number
CN104682560A
CN104682560A CN201510089232.3A CN201510089232A CN104682560A CN 104682560 A CN104682560 A CN 104682560A CN 201510089232 A CN201510089232 A CN 201510089232A CN 104682560 A CN104682560 A CN 104682560A
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model
data
graphical
power distribution
tree
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CN104682560B (en
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殷自力
陈宇星
刘大鹏
曲卫金
张富明
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State Grid Corp of China SGCC
State Grid Fujian Electric Power Co Ltd
Integrated Electronic Systems Lab Co Ltd
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State Grid Corp of China SGCC
State Grid Fujian Electric Power Co Ltd
Integrated Electronic Systems Lab Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention relates to a graphical verifying method for power distribution network model transaction, and belongs to the field of electrical power system distribution automation. The method comprises the following steps: according to a CIM model in a power distribution GIS system to establish a whole model system by a distribution automation master station system; when the automation master station system acquires transactional model data of the GIS system, comprehensively verifying the model; using a readable graphical analysis means to verify the complicated model description data, particularly combining and converting the topological structure description hard to understand in the model and SVG graphics into graphic description visible by eyes. The graphical verifying method allows dispatching and automatic operation and maintenance personnel to directly complete various operations, verification and judgment of data on the graphical model conveniently and efficiently; the direct graphical mode allows the operation and maintenance personnel to acquire equipment difference of the model and the topological difference information before and after the transaction, and helps the operation and maintenance personnel accurately judge the data validity.

Description

A kind of graphical check method of electricity distribution network model unusual fluctuation
Technical field
The invention belongs to electric power system power distribution automatic field, relate to a kind of graphical check method of electricity distribution network model unusual fluctuation.
Background technology
Build in China in the process of intelligent grid and new requirement is proposed to power distribution automation, the key that information data, standardization and integration will be the development of following electrical power distribution automatization system.In existing application function, the focus of Power Distribution GIS system and automation main station system is different, main station system is caused to occur that various model data is difficult to meet the situation of automation application when applying the model of GIS, scheduling and operation maintenance personnel need to pay the check work that a large amount of energy carries out unusual fluctuation model, be difficult to the model data of reading more this work make the matter worse, this technology completes the check of model data to being difficult to reading by the graphical means of readability.
Summary of the invention
The object of the invention is for after the access of power distribution network unusual fluctuation model, first scheduling and operation maintenance personnel can understand the unusual fluctuation change information of model intuitively, can check unusual fluctuation model simultaneously, complete complicated model data check analysis by patterned means.Guarantee that scheduling and operation maintenance personnel can understand the unusual fluctuation of model easily, ensure that the quality of data of main station system model supports main station system and runs.
The graphical check method of a kind of electricity distribution network model unusual fluctuation that the present invention proposes, comprises the following steps:
A graphical check method for electricity distribution network model unusual fluctuation, is characterized in that comprising the following steps:
S1: system carries out difference analysis by the "current" model in the unusual fluctuation model of GIS and self model storehouse;
S1-1:GIS unusual fluctuation model file is in units of feeder line, and main station system extracts "current" model equally in units of feeder line, forms two of same feeder line overlap differential pattern with GIS unusual fluctuation model;
S1-2: carry out step by step according to the hierarchical relationship of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station, calculate the equipment difference produced by two set of model;
S2: the graphical depiction of differential pattern and graphical operation;
S2-1: the data of two set of model associated, sets up one-one relationship to identical electric power resource data;
S2-2: be hierarchical tree structure model by the messy data transformations of two set of model respectively;
S2-3: according to the level of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station, sets up two graphical tree respectively and shows two sets of data models, and handles complicated model data in the mode of manipulating graphics data;
S2-4: the united control realizing two tree structures, namely the data handled in certain hierarchical tree with arbitrary act are the equivalence operations to another tree;
S3: the graphical analysis of differential pattern and operation;
S3-1: the comparison forming figures based on two cover SVG figures corresponding to two set of model, and the equipment difference of model analysis is divided in the graphic increases, deleting and revise three types, to carry out classification special painted;
S3-2: according to the topology of model, realize the trend formula topology coloring of equipment pel in the graphic; That is, take substation bus bar as starting point, under deciliter state not considering disjunction kind equipment, along topology trend, line segment is carried out to the Dynamic Announce of trend formula; And to the flow state in two figure with paintedly to compare, form the topological variation of two set of model;
S3-3: analyze whole model flow state, calculates various irrational power distribution network topological structure, and analysis result is painted in a special manner in the graphic;
S3-4: select arbitrary equipment in the graphic, analyzes the equipment having direct topological correlation in corresponding model data with it, if these equipment in the graphic, carries out special painted, otherwise carries out textual description; For the partial network topology with regard to individual equipment;
Namely S3-5: the comparison figure three of differential pattern data, tree-shaped graphic structure and SVG is completely reciprocity is in addition both equivalence operation to any manipulation of arbitrary graph data simultaneously.
Feature of the present invention:
The graphical check method of electricity distribution network model unusual fluctuation of the present invention.The method feature is unusual fluctuation in units of feeder line and main station system data pick-up, according to equipment difference in hierarchical relationship step-by-step analysis two set of model of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station.
The same electric power resource data of two set of model are set up one-one relationship; Arrange the messy data of model and be converted into well-bedded Tree-structure Model; Show two sets of data models by two graphical tree of readability, and handle complicated model data in the mode of manipulating graphics data; Achieve the united control of two tree structures, namely the data handled in certain hierarchical tree with arbitrary act are the equivalence operations to another tree.
Define the comparison of figure based on SVG figure, the equipment difference of model analysis divided in the graphic increase, delete and amendment three types to carry out classification special painted; Realize the trend formula topology coloring of equipment pel in the graphic, and to the flow state in two figure with paintedly to compare, form the topological variation of two set of model; Whole model flow state is analyzed, calculates various irrational power distribution network topological structure, and analysis result is painted in a special manner in the graphic; The partial network topology to individual equipment in model data is achieved with the form of graphical operation; Namely achieve any manipulation of the arbitrary graph data of comparison figure three of differential pattern data, tree-shaped graphic structure and SVG is in addition both equivalence operation.
Method tool of the present invention has the following advantages:
1, realize complicated Model Checking analysis by graphical means, substantially reduce the number workload and reduce time cost.
2, do not need to possess the ability of reading CIM just can complete and greatly reduce requirement to manpower to the analysis of CIM data;
3, the method clear principle, accuracy of judgement, is easy to study and grasps, can the situation of change of clear embodiment power distribution network unusual fluctuation model;
4, the method still can complete analysis when the inadequate specification of GIS model data, has stronger fault-tolerance;
The present invention proposes the method being completed the check of unusual fluctuation model data by graphical means, shown by practical application, described method is correctly effective, and main station system is by checking the model data obtained, better can run by adaptive system, meet dispatching automation demand.
Accompanying drawing explanation
Fig. 1 is the inventive method schematic flow sheet.
Fig. 2 is the idiographic flow schematic diagram of step S3 of the present invention.
Embodiment
For enabling above-mentioned purpose of the present invention, feature and advantage more become apparent, and are described in detail the specific embodiment of the present invention below in conjunction with accompanying drawing.
Set forth detail in the following description so that fully understand the present invention.But the present invention can be different from alternate manner described here to implement with multiple, those skilled in the art can when without prejudice to doing similar popularization when intension of the present invention.Therefore the present invention is not by the restriction of following public embodiment.
As depicted in figs. 1 and 2, the present embodiment provides a kind of graphical check method of electricity distribution network model unusual fluctuation, it is characterized in that comprising the following steps:
S1: system carries out difference analysis by the "current" model in the unusual fluctuation model of GIS and self model storehouse;
S1-1:GIS unusual fluctuation model file is in units of feeder line, and main station system extracts "current" model equally in units of feeder line, forms two of same feeder line overlap differential pattern with GIS unusual fluctuation model;
S1-2: carry out step by step according to the hierarchical relationship of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station, calculate the equipment difference produced by two set of model;
S2: the graphical depiction of differential pattern and graphical operation;
S2-1: the data of two set of model associated, sets up one-one relationship to identical electric power resource data;
S2-2: be hierarchical tree structure model by the messy data transformations of two set of model respectively;
S2-3: according to the level of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station, sets up two graphical tree respectively and shows two sets of data models, and handles complicated model data in the mode of manipulating graphics data;
S2-4: the united control realizing two tree structures, namely the data handled in certain hierarchical tree with arbitrary act are the equivalence operations to another tree;
S3: the graphical analysis of differential pattern and operation;
S3-1: the comparison forming figures based on two cover SVG figures corresponding to two set of model, and the equipment difference of model analysis is divided in the graphic increases, deleting and revise three types, to carry out classification special painted;
S3-2: according to the topology of model, realize the trend formula topology coloring of equipment pel in the graphic; That is, take substation bus bar as starting point, under deciliter state not considering disjunction kind equipment, along topology trend, line segment is carried out to the Dynamic Announce of trend formula; And to the flow state in two figure with paintedly to compare, form the topological variation of two set of model;
S3-3: analyze whole model flow state, calculates various irrational power distribution network topological structure, and analysis result is painted in a special manner in the graphic;
S3-4: select arbitrary equipment in the graphic, analyzes the equipment having direct topological correlation in corresponding model data with it, if these equipment in the graphic, carries out special painted, otherwise carries out textual description; For the partial network topology with regard to individual equipment;
Namely S3-5: the comparison figure three of differential pattern data, tree-shaped graphic structure and SVG is completely reciprocity is in addition both equivalence operation to any manipulation of arbitrary graph data simultaneously.
In an embodiment of the present invention, in described step S1, difference analysis meets following main points: the unusual fluctuation in units of feeder line and main station system data pick-up, according to equipment difference in hierarchical relationship step-by-step analysis two set of model of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station.
In an embodiment of the present invention, in described step S2, the same electric power resource data of two set of model are set up one-one relationship; Arrange the messy data of model and be converted into well-bedded Tree-structure Model; Show two sets of data models by two graphical tree of readability, and handle complicated model data in the mode of manipulating graphics data; Achieve the united control of two tree structures, namely the data handled in certain hierarchical tree with arbitrary act are the equivalence operations to another tree.
In an embodiment of the present invention, in described step S3, define the comparison of figure based on SVG figure, the equipment difference of model analysis divided in the graphic increase, delete and amendment three types to carry out classification special painted; Realize the trend formula topology coloring of equipment pel in the graphic, and to the flow state in two figure with paintedly to compare, form the topological variation of two set of model; Whole model flow state is analyzed, calculates various irrational power distribution network topological structure, and analysis result is painted in a special manner in the graphic; The partial network topology to individual equipment in model data is achieved with the form of graphical operation; Namely achieve any manipulation of the arbitrary graph data of comparison figure three of differential pattern data, tree-shaped graphic structure and SVG is in addition both equivalence operation.
Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; the Method and Technology content of above-mentioned announcement can be utilized to make possible variation and amendment to technical solution of the present invention; therefore; every content not departing from technical solution of the present invention; the any simple modification done above embodiment according to technical spirit of the present invention, equivalent variations and modification, all belong to the protection range of technical solution of the present invention.The foregoing is only preferred embodiment of the present invention, all equalizations done according to the present patent application the scope of the claims change and modify, and all should belong to covering scope of the present invention.

Claims (4)

1. a graphical check method for electricity distribution network model unusual fluctuation, is characterized in that comprising the following steps:
S1: system carries out difference analysis by the "current" model in the unusual fluctuation model of GIS and self model storehouse;
S1-1:GIS unusual fluctuation model file is in units of feeder line, and main station system extracts "current" model equally in units of feeder line, forms two of same feeder line overlap differential pattern with GIS unusual fluctuation model;
S1-2: carry out step by step according to the hierarchical relationship of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station, calculate the equipment difference produced by two set of model;
S2: the graphical depiction of differential pattern and graphical operation;
S2-1: the data of two set of model associated, sets up one-one relationship to identical electric power resource data;
S2-2: be hierarchical tree structure model by the messy data transformations of two set of model respectively;
S2-3: according to the level of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station, sets up two graphical tree respectively and shows two sets of data models, and handles complicated model data in the mode of manipulating graphics data;
S2-4: the united control realizing two tree structures, namely the data handled in certain hierarchical tree with arbitrary act are the equivalence operations to another tree;
S3: the graphical analysis of differential pattern and operation;
S3-1: the comparison forming figures based on two cover SVG figures corresponding to two set of model, and the equipment difference of model analysis is divided in the graphic increases, deleting and revise three types, to carry out classification special painted;
S3-2: according to the topology of model, realize the trend formula topology coloring of equipment pel in the graphic; That is, take substation bus bar as starting point, under deciliter state not considering disjunction kind equipment, along topology trend, line segment is carried out to the Dynamic Announce of trend formula; And to the flow state in two figure with paintedly to compare, form the topological variation of two set of model;
S3-3: analyze whole model flow state, calculates various irrational power distribution network topological structure, and analysis result is painted in a special manner in the graphic;
S3-4: select arbitrary equipment in the graphic, analyzes the equipment having direct topological correlation in corresponding model data with it, if these equipment in the graphic, carries out special painted, otherwise carries out textual description; For the partial network topology with regard to individual equipment;
Namely S3-5: the comparison figure three of differential pattern data, tree-shaped graphic structure and SVG is completely reciprocity is in addition both equivalence operation to any manipulation of arbitrary graph data simultaneously.
2. the graphical check method of electricity distribution network model unusual fluctuation as claimed in claim 1, it is characterized in that, in described step S1, difference analysis meets following main points: the unusual fluctuation in units of feeder line and main station system data pick-up, according to equipment difference in hierarchical relationship step-by-step analysis two set of model of power distribution network area under one's jurisdiction-transformer station-feeder line-power distribution station.
3. the graphical check method of electricity distribution network model unusual fluctuation as claimed in claim 1, is characterized in that, in described step S2, the same electric power resource data of two set of model is set up one-one relationship; Arrange the messy data of model and be converted into well-bedded Tree-structure Model; Show two sets of data models by two graphical tree of readability, and handle complicated model data in the mode of manipulating graphics data; Achieve the united control of two tree structures, namely the data handled in certain hierarchical tree with arbitrary act are the equivalence operations to another tree.
4. the graphical check method of electricity distribution network model unusual fluctuation as claimed in claim 1, it is characterized in that, in described step S3, define the comparison of figure based on SVG figure, the equipment difference of model analysis divided in the graphic increase, delete and amendment three types to carry out classification special painted; Realize the trend formula topology coloring of equipment pel in the graphic, and to the flow state in two figure with paintedly to compare, form the topological variation of two set of model; Whole model flow state is analyzed, calculates various irrational power distribution network topological structure, and analysis result is painted in a special manner in the graphic; The partial network topology to individual equipment in model data is achieved with the form of graphical operation; Namely achieve any manipulation of the arbitrary graph data of comparison figure three of differential pattern data, tree-shaped graphic structure and SVG is in addition both equivalence operation.
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CN112000831A (en) * 2020-08-13 2020-11-27 贵州电网有限责任公司 Abnormal data identification optimization method based on transformer substation graph transformation
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105913334A (en) * 2016-04-08 2016-08-31 国网福建省电力有限公司 Visualized detection method for online abnormal movements of power distribution automation graph and model
CN106156520A (en) * 2016-07-26 2016-11-23 青岛海信网络科技股份有限公司 A kind of urban track traffic topology coloring method and device
CN106777220A (en) * 2016-12-23 2017-05-31 积成电子股份有限公司 A kind of processing method of the continuous unusual fluctuation of power distribution network artwork
CN106599318A (en) * 2016-12-30 2017-04-26 山东鲁能软件技术有限公司 Data verification method for power distribution network model
CN106599318B (en) * 2016-12-30 2020-03-20 山东鲁能软件技术有限公司 Power distribution network model data verification method
CN107730123A (en) * 2017-10-20 2018-02-23 国网江苏省电力公司南京供电公司 A kind of consistent property check method of dispatching automation artwork
CN107730123B (en) * 2017-10-20 2023-04-18 国网江苏省电力公司南京供电公司 Method for checking consistency of dispatching automation graph model specification
CN109376468A (en) * 2018-11-21 2019-02-22 国网四川省电力公司绵阳供电公司 The drawing methods of electrical power distribution automatization system PMS model pel
CN111191331A (en) * 2019-12-25 2020-05-22 中国南方电网有限责任公司 Transformer substation graph-model data quality verification device and method based on CIM and SVG
CN112000831A (en) * 2020-08-13 2020-11-27 贵州电网有限责任公司 Abnormal data identification optimization method based on transformer substation graph transformation
CN112000831B (en) * 2020-08-13 2024-04-19 贵州电网有限责任公司 Abnormal data identification optimization method based on substation graph transformation

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