CN104299056A - Distribution network planning basic technology supporting platform - Google Patents
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Abstract
The invention discloses a distribution network planning basic technology supporting platform and belongs to the technical field of computer application. The distribution network planning basic technology supporting platform is characterized by comprising a data collection and processing module, a data management module, a planning basic calculation module and an output module. The data collection and processing module completes data collection and processing by accessing a definition table; according to thematic map management in the output module, external thematic map configuration files of the XML format are read, and therefore map layers are loaded and set; the added point load prediction function means that a large point load is added in the certain coming year, whether the surplus capacity of surrounding transformer substations can meet requirements or not is tested, and a suitable power source is determined. The distribution network planning basic technology supporting platform has the advantages that data collection, the GIS, power distribution network information management and power network planning basic analysis are integrated, workloads of workers of the planning department are reduced, and the working efficiency of the workers is improved.
Description
Technical field
The invention belongs to Computer Applied Technology field, be specifically related to a kind of distribution network planning basic technology supporting platform.
Background technology
Geographic Information System (GIS) has powerful visualization capability and spatial analysis capacity, and GIS is widely used in recent years in Electric Power Network Planning.Through finding the retrieval of existing technology, the patent No. be 200710045168.4 electrified wire netting layout computer auxiliary decision-making support system describe a kind of method be combined with Electric Power Network Planning by GIS.This system weak point does not make full use of the spatial analysis capacity of GIS and the visualization function of GIS, and this system is not connected with the system such as EMS, realizes the automatic acquisition of data.The result of calculation visualization of existing planning software is lower, generally adopts the form of data.
Summary of the invention
The object of the invention is to the deficiency for the existing planning software of power distribution network, there is provided a kind of distribution network planning basic technology supporting platform based on Geographic Information System, this platform integrates data acquisition, GIS, power distribution network information management, Electric Power Network Planning fundamental analysis.This invention background data base is connected with EMS, MIS, management system for selling power, and makes full use of the powerful visualization capability of GIS, result of calculation is combined with the thematic map of GIS.
Technical scheme of the present invention is:
Distribution network planning basic technology supporting platform comprises automatic data collection and processing module, data management module, Electric Power Network Planning basic calculation module and output module.
Described automatic data collection and processing module by the connection with EMS system, mis system and management system for selling power, the load required for manual or automatic acquisition platform, and electric current and voltage, and processing is carried out to the load data gathered process.
Described data management module in platform database data operate, comprise typing, inquiry, deletion, amendment and derive operation.
Described Electric Power Network Planning basic calculation module comprises foundation of planning module, system cloud gray model analysis module and safety assessment module.
Foundation of planning module comprises load prediction, newly-increased point load prediction and load density.
Load prediction is used based on gray theory, linear fit, repeatedly matching, comprehensive suboptimum and this Lung biopsy of wavelet analysis.Wherein based on comprehensive second best measure.The data of load prediction can based on the total load in total load prediction transformer station future of transformer station, also can based on transformer with load predict.A bright spot of this platform to select the transformer station in certain region or in Zone Full to predict, also can predict the substation's on-load in certain block region random on map.The Output rusults of prediction has two kinds of modes: mode 1 is output report, lists the predicted value of each load, residual capacity, capacity-load ratio in Excel; Mode 2 is characteristics for platform, and the result data of calculating is shown by the thematic map of GIS.
Newly-increased point load prediction is a newly-increased large point load at following certain year, and whether inspection around transformer station's residual capacity can meet its requirement, and searches suitable power supply.
Load density is the spatial analysis functions utilizing GIS, draws a polygonal region at random on map, to the time of constant load section (time be accurate to hour), and the load density size in moment of can obtaining this region near this time.
System cloud gray model analysis module comprises Load flow calculation, energy loss analysis and power quality analysis.Load flow calculation adopts the inferior or P-Q decomposition method of newton pressgang to calculate, and can to the network loss of power distribution network and the quality of power supply analyze after carrying out Load flow calculation to electrical network.The analytic target of this part is the power distribution network of 220kV to 66kV.
Safety assessment module comprises the early warning of mains supply ability, electrical network bears when ability early warning and fail-safe analysis.The early warning of mains supply ability refers to according to load prediction results, and can inspection substation capacity meet the demand of institute's on-load in future.The early warning of electrical network ability to bear refers to that the threshold value whether grid power transmission circuit being exceeded within the coming years to circuit carries out early warning.
Described output module comprises Net Frame of Electric Network generation module, thematic map module and Reports module.Net Frame of Electric Network generation module adds map to for the rack geography information in database is generated vector data automatically.Reports module refers to that result of calculation outputs in Excel.The abundant thematic map function directly perceived of GIS fully combines with Electric Power Network Planning by thematic map module, and the result of calculating is showed user intuitively by the figure on map or word.
Effect of the present invention and benefit are compared with prior art, integrate data acquisition, GIS, power distribution network information management, Electric Power Network Planning fundamental analysis, decrease planning department worker workload, improve its work efficiency.Platform, by being connected with other system, takes full advantage of existed system data, decreases the workload that planning personnel collects load data.Platform makes full use of the powerful visualization capability of GIS platform, being combined, stating its result of calculation more intuitively by being calculated by foundation of planning with the thematic map function of GIS.
Accompanying drawing explanation
Fig. 1 is the operating diagram of distribution network planning basic technology supporting platform.
Fig. 2 is the general frame figure of distribution network planning basic technology supporting platform.
Embodiment
The specific embodiment of the present invention is described in detail below in conjunction with technical scheme and accompanying drawing.
1. data management module
By ADO.NET object, realize the typing of data, delete, inquiry, retouching operation.Data comprise transformer, transformer station, generator, circuit, shaft tower, load, circuit model parameter, regional classification, service data, definition list.
2. the automatic collection and processing module of data
Automatic data collection and processing module adopt method collection, the process data of accesses definition table, and definition list comprises data name, source table table name, source tabular name, object table table name, target tabular name, and definition list form is as shown in table 1; Data name represents this title recorded, and source table table name index is according to the tables of data title deposited in source database, and object table table name refers to the tables of data title that the data got finally are deposited, and source tabular name refers to the row place title of this name data in the table of source; Article one, the source tabular name column that data are shown from source takes out the row at the object table target column place putting into another database; The data of identical type be placed in same definition list, from Article 1 record, image data is until the last item record in turn, and a collection period completes.
Between 0 point to 5 points after integral point, platform is from being dynamically connected EMS database, starts to obtain data.All records in program pass definition list, choose every bar and are recorded in mean value in previous hour and maximal value, and by it stored in the tables of data in the database of this locality.
Table 1 definition list
| Remote measurement title | varchar(255) |
| Table name claims (source) | varchar(255) |
| Row title (source) | varchar(10) |
| Preserve mean value table name to claim (this locality) | varchar(30) |
| Preserve mean value row title (this locality) | varchar(10) |
| Preserve maximal value table name to claim (this locality) | varchar(30) |
| Preserve maximal value row title (this locality) | varchar(10) |
Load data adopts maximum monthly load, and after starting data mart modeling program, determine the beginning and ending time gathered, program travels through load data processing table to be processed automatically, the peak load of the every month of every bar record is taken out, and stored in load meter.The peak load of the every month in the beginning and ending time is obtained from the respective column that this locality preservation maximal value table name storing these record data claims, then from the table at the transformer place of this record correspondence, obtain attribute corresponding to this transformer, after then its result being arranged, put into load meter.Load data processing table is as shown in table 2.
Table processed by table 2
| Remote measurement title | varchar(255) |
| Transformer title | varchar(255) |
| Transformer place table name | varchar(10) |
| Preserve mean value table name to claim (this locality) | varchar(30) |
| Preserve mean value row title (this locality) | varchar(10) |
| Preserve maximal value table name to claim (this locality) | varchar(30) |
| Preserve maximal value row title (this locality) | varchar(10) |
3. Electric Power Network Planning computing module
The calculation procedure of difference in functionality encapsulates by this module.In this module, first each function derives the data of needs from database according to the selection of user, then call planning calculation procedure, after calculating, first result of calculation joined with the vector correlation in GIS, upgrade its data, then result is presented to user with the form of form.
Electric Power Network Planning computing module comprises foundation of planning, safety assessment, system cloud gray model analyze three parts.
A. foundation of planning
Foundation of planning is the core of distribution network planning computing module.Foundation of planning comprises load prediction, newly-increased point load prediction and load density.
1) load prediction
This platform load forecasting method adopts with transformer station and transformer institute on-load data as historical data carries out load prediction.The theoretical foundation of prediction comprises linear fit method, repeatedly Function Fitting method, Grey System Method and comprehensive second best measure, wherein with comprehensive second best measure for main method.First, select the load of prediction, determine predicted time, then from load meter, take out the historical load data selecting load, enter computing module, after having calculated, result is exported with the form of form, simultaneously upgrade load data concentrate load factor field, residual capacity field data.
2) newly-increased point load prediction
If several newly-built load distance is greatly from closer, these loads can be equivalent to a point load.With newly-increased point load for the center of circle, specify source of the seeking radius that is suitable, be defaulted as 5 kilometers, can be free on map, by the spatial analysis functions of GIS, find out power supplys all in radius, power supply refers to 66kV transformer station or generating plant herein.Predict power supply institute on-load in scope, sort to all power supplys according to residual capacity is descending, after the newly-increased load of inspection is newly-built, whether neighbouring have the power supply meeting it and require.How preferential and select most suitable power supply apart from the principle of nearly second priority according to residual capacity, and this power supply that is mapped out.Due to the newly-built multiple point load of possibility around a transformer station, a point load is newly-built rear satisfied, multiple newly-built after may just not meet, in order to avoid this kind of situation occurs, often determine a newly-increased point load power supply, need this electric load to remove from newly-increased point load group, the residual capacity of power supply removes the size of this point load simultaneously.
3) load density
This function is according to the spatial analysis functions of GIS, on map behind defined area, the all loads of screening in this region are concentrated at load data, fixed time section, the load value of all loads discontinuity surface at this time then in the load meter of database in accumulated summed area, finally with the ratio of this region area.The accuracy of this function is relevant with the integrality of load data.
B. system cloud gray model analysis
System cloud gray model analysis comprises Load flow calculation, energy loss analysis and power quality analysis.
Load flow calculation adopts the inferior or P-Q decomposition method of newton pressgang to calculate, and can to the network loss of power distribution network and the quality of power supply analyze after carrying out Load flow calculation to electrical network.The analytic target of this part is the power distribution network of 220kV to 66kV.
C. system security assessment
System security assessment comprises the early warning of mains supply ability, the early warning of electrical network ability to bear and reliability and analyzes.
1) mains supply ability early warning
By load prediction, when the transformer capacity of transformer station is not when meeting the demand of perimeter load future, early warning is made to this transformer station.Early warning is by data, warning color, warning graphic alerts staff.
2) electrical network ability to bear early warning
By the result of the load prediction to the coming years, after carrying out the analytical calculation of trend, the results of weak current of electrical network each bar circuit is made comparisons with the born current maxima of each bar circuit successively, less than it then meets the demands, what be not less than it then shows the requirement that this circuit can not meet electric power netting safe running in following certain year, reminds staff to take measures.
Circuit is divided into a section line segment according to shaft tower, analyzes the ability to bear of each section after completing calculating according to the model of each line segment, wherein a bit ofly not meet the demands, then whole piece circuit is discontented with sufficient requirement, to staff's early warning.
4. output module
Output module comprises Net Frame of Electric Network generation module, data sheet and thematic map three part.
1) Net Frame of Electric Network generation module
The rack of electrical network comprises transformer station, switchyard, circuit, shaft tower, transformer station, shaft tower, switchyard are all the vectors of point-like, generate point vector according to its geographic coordinate, add corresponding data centralization to, required attribute is added in the respective field of data set simultaneously.
The self routing principle more complicated of circuit, this system reads the shaft tower geography information of circuit from the shaft tower table database, and shaft tower is generated the data centralization that point adds shaft tower to, indispensable attributes information is added in the respective field of shaft tower data set simultaneously.Shaft tower is sorted according to sequence number, according to the coordinate of shaft tower and the whole story end transformer station's coordinate, the line segment that connection is a section in turn adds corresponding track data to and concentrates, and from the line sectionalizing table database, the indispensable attributes of corresponding line segment is added in the respective field of track data collection.
2) data sheet
The result calculated exports in the mode of Excel form, directly carries out necessary playing up to data simultaneously.
3) thematic map
Different field according to data set can make different thematic maps, utilizes the thematic map of difference in functionality to state different implications.
This platform proposes a kind of method being convenient to the opening expanded managing thematic map.The method by reading the thematic map configuration file of external XML form, thus arranges layer according to configuration loading.XML format is as follows:
<Name>
<title> thematic map title </title>
<Datasets>
<dataset name=" data set 1 title " IsCanSee=" false " IsCanSelect=" false "
></dataset>
<dataset name=" data set 2 title " IsCanSee=" false " IsCanSelect=" true "
></dataset>
</Datasets>
</Name>
During the initialization of thematic map menu, read external XML thematic map configuration file, can know thematic map number by the number reading Name node, the title node read under Name node can know each thematic map title, thus to the initialization of thematic map menu.When selecting certain thematic map, read each dataset child node under Datasets node in turn, the setup of attribute of each attribute each layer corresponding of dataset, the name attribute representation data set name of dataset, whether visible IsCanSee represents, true is visible, false is invisible, be defaulted as invisible, IsCanSelect represents whether can select, true is for selecting, false represents the element cannot selected in layer, whether IsCanEdit attribute representation can edit, and true is for editing, and false represents and cannot edit.According to its order to data set sequence, and the attribute of each data set is set.For image layer and do not need the layer of movement be placed on data source as base map, do not need to list under Datasets node.Need increase or delete corresponding Name node and child node thereof when increasing or delete thematic map, when layer number or title variation, only need corresponding dataset nodal community in amendment configuration file.
For those of ordinary skill in the field, different forms or variation can also be made on the basis of the above description, here without the need to giving exhaustive to all embodiments.The apparent change of drawing thus or variation are still within the protection domain of the invention.
Claims (4)
1. distribution network planning basic technology supporting platform, this platform provides the support to 66kV distribution network planning, it is characterized in that: platform comprises automatic data collection and processing module, data management module, Electric Power Network Planning basic calculation module and output module;
Described automatic data collection and processing module, be connected with EMS, MIS, management system for selling power by this modular platform, and this module, by accessing the method for the definition list that fetches data, manually or automatically gathers desired data, then puts into local data base; The load data that directly can not be used by platform, by the method for access processing definition list, processes data, then puts into load meter;
Described data management module, this module provides the typing of data, deletion, amendment, query interface;
Described Electric Power Network Planning basic calculation module comprises foundation of planning module, system cloud gray model analysis module and safety assessment module;
Described output module, comprises distribution network structure generation module, thematic map module and Reports module; Net Frame of Electric Network generation module is for completing the Vector Message on the Net Frame of Electric Network Automatic generation of information map in database and adding different data centralizations to.
2. distribution network planning basic technology supporting platform according to claim 1, is characterized in that:
Described automatic data collection and processing module adopt method collection, the process data of accesses definition table, and definition list comprises data name, source table table name, source tabular name, object table table name, target tabular name; Data name represents this title recorded, and source table table name index is according to the tables of data title deposited in source database, and object table table name refers to the tables of data title that the data got finally are deposited, and source tabular name refers to the row place title of this name data in the table of source; Article one, the source tabular name column that data are shown from source takes out the row at the object table target column place putting into another database; The data of identical type be placed in same definition list, from Article 1 record, image data is until the last item record in turn, and a collection period completes.
3. distribution network planning basic technology supporting platform according to claim 1, is characterized in that:
Thematic map management in described thematic map module, the method, by reading the thematic map configuration file of external XML form, loads setting, layer; XML format is as follows:
<Name>
<title> thematic map title </title>
<Datasets>
<dataset name=" data set 1 title " IsCanSee=" false " IsCanSelect=" false "
></dataset>
<dataset name=" data set 2 title " IsCanSee=" false " IsCanSelect=" true "
></dataset>
</Datasets>
</Name>
During the initialization of thematic map menu, read external XML thematic map configuration file, can know thematic map number by the number reading Name node, the title node read under Name node can know each thematic map title, thus to the initialization of thematic map menu; When selecting certain thematic map, read each dataset child node under Datasets node in turn, the setup of attribute of each attribute each layer corresponding of dataset, the name attribute representation data set name of dataset, whether visible IsCanSee represents, true is visible, and false is invisible, is defaulted as invisible; IsCanSelect represents whether can select, and true is for selecting, and false represents the element cannot selected in layer; Whether IsCanEdit attribute representation can edit, and true is for editing, and false represents and cannot edit; According to its order to data set sequence, and the attribute of each data set is set; For image layer and do not need the layer of movement be placed on data source as base map, do not need to list under Datasets node; Need increase or delete corresponding Name node and child node thereof when increasing or delete thematic map, when layer number or title variation, only need corresponding dataset nodal community in amendment configuration file.
4. distribution network planning basic technology supporting platform according to claim 1, is characterized in that:
Newly-increased point load prediction refers to whether inspection around transformer station's residual capacity can meet its requirement, and determines suitable power supply at certain year following newly-increased point load;
If several newly-increased point load is apart from closer, these loads are equivalent to a point load; Source of the seeking radius that delimitation one is suitable on map, be defaulted as 5 kilometers, by the spatial analysis functions of GIS, mark power supplys all within the scope of this, power supply refers to 66kV or 35kV transformer station or generating plant herein; By to power supply in scope with the load prediction size of following certain year, sort according to residual capacity size to all power supplys, after the newly-increased load of inspection builds up, whether neighbouring have the power supply meeting it and require; Be that principle selects most suitable power supply according to the maximum preferential and nearest second priority of residual capacity, and be mapped out; Often determine a newly-increased point load power supply, need this electric load to remove from point load group, the residual capacity of the power supply simultaneously determined will deduct the payload of this point load.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096810A (en) * | 2016-05-26 | 2016-11-09 | 广东电网有限责任公司佛山供电局 | Method and system for planning based on power distribution network operation data Yu geographical topology information |
| CN106895841A (en) * | 2017-04-13 | 2017-06-27 | 杭州申昊科技股份有限公司 | A kind of Vector Electronic Map creation method for being applied to transformer station |
| CN107292759A (en) * | 2016-04-10 | 2017-10-24 | 国网山东省电力公司经济技术研究院 | Distribution network planning based on power supply reliability calculates analysis system |
| CN110310098A (en) * | 2019-07-10 | 2019-10-08 | 云南电网有限责任公司电力科学研究院 | A kind of dynamic programming problems library method for auto constructing and device |
| CN110782165A (en) * | 2019-10-25 | 2020-02-11 | 深圳供电局有限公司 | Gridding power distribution network residual power supply capacity monitoring system |
| CN111585349A (en) * | 2020-06-06 | 2020-08-25 | 杨益 | Power grid model management and monitoring system |
| CN115203871A (en) * | 2022-07-15 | 2022-10-18 | 苏州互讯信息技术开发有限公司 | Regional optimization wiring method and system for power line and computer storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120120537A1 (en) * | 2010-11-15 | 2012-05-17 | American Superconductor Corporation | Current fault limiter with live tank |
| CN103093024A (en) * | 2012-11-22 | 2013-05-08 | 中国电力科学研究院 | Web geographic information system (WEBGIS)-based visualized showing method for planning power grid |
-
2014
- 2014-10-17 CN CN201410550798.7A patent/CN104299056A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120120537A1 (en) * | 2010-11-15 | 2012-05-17 | American Superconductor Corporation | Current fault limiter with live tank |
| CN103093024A (en) * | 2012-11-22 | 2013-05-08 | 中国电力科学研究院 | Web geographic information system (WEBGIS)-based visualized showing method for planning power grid |
Non-Patent Citations (1)
| Title |
|---|
| 张健: "基于电力GIS的项目储备规划及负荷预测管理的研究", 《中国优秀硕士学位论文全文数据库（工程科技Ⅱ辑）》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107292759A (en) * | 2016-04-10 | 2017-10-24 | 国网山东省电力公司经济技术研究院 | Distribution network planning based on power supply reliability calculates analysis system |
| CN106096810A (en) * | 2016-05-26 | 2016-11-09 | 广东电网有限责任公司佛山供电局 | Method and system for planning based on power distribution network operation data Yu geographical topology information |
| CN106096810B (en) * | 2016-05-26 | 2017-08-25 | 广东电网有限责任公司佛山供电局 | Method and system for planning based on power distribution network operation data Yu geographical topology information |
| CN106895841A (en) * | 2017-04-13 | 2017-06-27 | 杭州申昊科技股份有限公司 | A kind of Vector Electronic Map creation method for being applied to transformer station |
| CN110310098A (en) * | 2019-07-10 | 2019-10-08 | 云南电网有限责任公司电力科学研究院 | A kind of dynamic programming problems library method for auto constructing and device |
| CN110310098B (en) * | 2019-07-10 | 2023-07-21 | 云南电网有限责任公司电力科学研究院 | Automatic construction method and device for distribution network planning problem library |
| CN110782165A (en) * | 2019-10-25 | 2020-02-11 | 深圳供电局有限公司 | Gridding power distribution network residual power supply capacity monitoring system |
| CN110782165B (en) * | 2019-10-25 | 2022-05-13 | 深圳供电局有限公司 | Gridding power distribution network residual power supply capacity monitoring system |
| CN111585349A (en) * | 2020-06-06 | 2020-08-25 | 杨益 | Power grid model management and monitoring system |
| CN111585349B (en) * | 2020-06-06 | 2022-08-09 | 广西电网有限责任公司 | Power grid model management and monitoring system |
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| CN115203871B (en) * | 2022-07-15 | 2024-05-28 | 苏州互讯信息技术开发有限公司 | Region optimization wiring method and system for power line and computer storage medium |
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