CN103559650B - Black starting-up DSS data preparation method based on BPA data - Google Patents
Black starting-up DSS data preparation method based on BPA data Download PDFInfo
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- CN103559650B CN103559650B CN201310540624.8A CN201310540624A CN103559650B CN 103559650 B CN103559650 B CN 103559650B CN 201310540624 A CN201310540624 A CN 201310540624A CN 103559650 B CN103559650 B CN 103559650B
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Abstract
A kind of black starting-up DSS data preparation method based on BPA data, including: create name relation synopsis; Read and resolve BPA power flow files, creating device level class entity; Plant stand class entity is created according to name relation synopsis; By the Data Integration of name relation synopsis to device level class entity; Device level class entity is added to its affiliated plant stand class entity; Read and resolve BPA and stablize file, create device level and supplement class entity; By the Data Integration of supplementary for device level class entity to device level class entity. The present invention extracts data from BPA data file, and introduce name relation synopsis, the model data of black starting-up system is built through Data Integration, solve BPA data source and cannot be applied to the technical problem of black starting-up system, simplify the electric network data preparation of black starting-up system, decrease dispatcher and manually enter the workload of electric network data, it is to avoid the mistakes and omissions situation of data input, improve the service efficiency of black starting-up system.
Description
Technical field
The present invention relates to power network restoration processing technology field, be based on the black starting-up DSS data preparation method of BPA data specifically.
Background technology
After black starting-up refers to that whole power system is stopped transport because of fault, system all has a power failure, it is in complete " black " state, it is independent of other web help, start by system has the generating set of self-startup ability, drive the generating set of non self starting, expand system recovery scope gradually, finally realize the recovery of whole system. Black starting-up DSS is a kind of auxiliary dispatching person can to formulate the computer software of black-start scheme. BPA software is the wide variety of a kind of analytical calculation software of China's Power System Planning, scheduling, production run and scientific research department, introduces from BPA company of the U.S. and exploitation forms Chinese version BPA power system analysis software on its basis.
Black starting-up DSS depends on a large amount of electrical network and calculates data, and especially for the recovery problem of macroreticular, it is a Data Preparation very numerous and diverse and consuming time that all operational factors of electrical network are input in black starting-up DSS by dispatcher. Owing to the method for operation annual (or season) of electrical network is all changing, black starting-up DSS need to produce corresponding black-start scheme according to the method for operation that input is different, so the mass data in the new method of operation needs to re-enter, cause dispatcher and before using black starting-up DSS to be calculated, consuming great effort is put in electric network data preparation. The quantities that dispatcher is manually entered whole electric network data when using this system is very huge, and not only expend time in length, and easily causes the mistakes and omissions situation of data input.
Electric Power Research Institute of State Power Corporation introduces from BPA company of the U.S. and develops the Chinese version BPA power system analysis software of formation on its basis, is used widely in China's Power System Planning, scheduling, production run and scientific research department at present.Grid company (or season) per year works out the method for operation, analyzes software according to BPA and carries out simulation calculation, and a large amount of calculating data of its power system operating mode and device parameter have been included in BPA input data file.
Realize BPA data source is applied to black starting-up DSS but without correlation technique both at home and abroad at present.
Summary of the invention
It is an object of the invention to provide a kind of black starting-up DSS data preparation method based on BPA data.
The technical scheme realizing the object of the invention is as follows: a kind of black starting-up DSS data preparation method based on BPA data, including:
Create name relation synopsis;
Read and resolve BPA power flow files, creating device level class entity;
Plant stand class entity is created according to name relation synopsis;
By the Data Integration of name relation synopsis to device level class entity;
Device level class entity is added to its affiliated plant stand class entity;
Read and resolve BPA and stablize file, create device level and supplement class entity;
By the Data Integration of supplementary for device level class entity to device level class entity.
In technique scheme, described reading and resolve BPA power flow files, create device level class entity, including:
Read BPA power flow files;
Read data, identification card type line by line, obtain effective card;
According to card format cutting character string, obtain card data;
Device level class entity is generated, by the corresponding data field of card data write device level class entity according to type of card.
In effective card of above-mentioned acquisition, effective card includes B card, BQ card, L card, T card and L+ card.
Above-mentioned by the Data Integration of name relation synopsis to device level class entity, including:
The device level class entity of correspondence is searched one by one according to the device numbering field in name relation synopsis;
By the data filling of name relation synopsis to described device level class entity.
Above-mentioned reading and parsing BPA stablize file, create device level and supplement class entity, including:
Read BPA and stablize file;
Read data, identification card type line by line, obtain effective card;
According to card format cutting character string, obtain card data;
Generate device level according to type of card and supplement class entity, card data write device level is supplemented the corresponding data field of class entity.
In the effective card of above-mentioned acquisition, effective card includes L0 card and M card.
Above-mentioned by device level supplement class entity Data Integration to device level class entity, including:
Extraction equipment level supplements class entity one by one, searches the device level class entity of correspondence one by one according to device numbering field therein;
By the data filling of supplementary for device level class entity to device level class entity.
Present invention solves the technical problem that and obtain and provide the benefit that: from BPA power flow files and stablize batch extracting data file, and introduce name relation synopsis, the model data of black starting-up DSS is built through Data Integration, thus solving BPA data source cannot be applied to the technical problem of black starting-up DSS, simplify the electric network data preparation of black starting-up DSS, decrease dispatcher and manually enter the workload of electric network data, avoid the mistakes and omissions situation of data input, improve the service efficiency of black starting-up DSS.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention.
Fig. 2 illustrates the data form of name relation synopsis.
Fig. 3 is name relation synopsis data file example.
Fig. 4 illustrates the data form of B card and BQ card in BPA power flow files.
Fig. 5 illustrates the data form of L card in BPA power flow files.
Fig. 6 illustrates the data form of T card in BPA power flow files.
Fig. 7 illustrates the data form of L+ card in BPA power flow files.
Fig. 8 illustrates that BPA stablizes the data form of L0 card in file.
Fig. 9 illustrates that BPA stablizes the data form of M card in file.
Detailed description of the invention
The ultimate principle of the present invention is:
1, name relation synopsis form designed according to this invention, created and regular maintenance name relation synopsis by dispatcher, the parameter not comprised in BPA data file is filled in device level class entity according to the name relation synopsis read in, including plant stand and plant stand type thereof belonging to equipment Chinese, equipment, generating plant stand class entity according to name relation synopsis, the list of devices field comprised for plant stand class entity adds its device level class entity comprised simultaneously.
2, read BPA flow data file, resolve wherein data item, convert 5 kinds of important cards (B card, BQ card, T card, L card, L+ card) to algorithm model data, generate corresponding device level class entity.
3, read BPA and stablize data file, resolve wherein data item, convert 2 kinds of important cards (L0 card, M card) to algorithm model data, generate corresponding device level and supplement class entity, search the device level class entity of correspondence according to its device numbering field one by one, integrate their data into device level class entity.
Below in conjunction with accompanying drawing, the present invention is further illustrated.
Step one: create name relation synopsis. Name relation synopsis is a kind of user-defined format txt text that the present invention designs, and operations staff fills in facility information on request. Name relation compares tableau format as shown in Figure 2: Lplus, BQ, T, L, B represent five kinds of device types marks, " associated devices title " is the end node title of corresponding device in BPA, " device name " refers to BPA median generatrix nodename, voltage is the node voltage of equipment in BPA, " loop number " refers to the loop number of corresponding device in BPA, the character string occurred before first " * " number represents device numbering, thus can ensure the uniqueness of each device numbering; " equipment Chinese " is the Chinese name that operations staff adds according to daily experience, for the equipment of BQ, T, B three types, in addition it is also necessary to operations staff adds affiliated factory, the title stood and type according to electrical network practical situation. After the first time establishment of name relation synopsis, it is possible to reusing, operations staff has only to safeguard according to electrical network practical situation, including amendment, add and delete data etc. Fig. 3 illustrates the example of a name relation synopsis TXT data file.
Step 2: read and resolve BPA power flow files, creating device level class entity. In BPA, data represent with the form of data card, and in electrical network, the data of equipment card belonging to it is specifying position to fill in corresponding data on request. Data are read line by line from BPA power flow files, the type of card belonging to the data that front two identification is read. The data card that the present invention uses includes B card, BQ card, L card, T card, L+ card (such as Fig. 4 to Fig. 7). When running into unrecognizable type of card, data are abandoned, and read next line. When running into effective card, then according to card format cutting character string, obtain card data, and generate corresponding device level class entity according to type of card, then card data is written to the corresponding data field of device level class entity.
Step 3: create plant stand class entity according to name relation synopsis. Read name relation synopsis, the data row reading to come in is processed one by one, create plant stand class entity according to power plant and substation's information. Although in name relation synopsis, identical plant stand repeats, but in plant stand class entity set-up process, need to judge whether this plant stand entity creates, if created, skips, it is ensured that each plant stand only creates an entity.
Step 4: by the Data Integration of name relation synopsis to device level class entity. Search the device level class entity of correspondence according to the device numbering field in name relation synopsis one by one, insert equipment Chinese plant stand belonging to marking arrangement level class entity and plant stand type (except circuit, high resistance) for device level class entity.
Step 5: device level class entity is added to its affiliated plant stand class entity. Travel through all device level class entities (except circuit, high resistance) created, the affiliated power plant and substation's information according to them, be added in the list of devices comprised in corresponding plant stand class entity.
Step 6: read and resolve BPA and stablize file, create device level and supplement class entity. Data are stablized file from BPA and reads line by line, type of card belonging to the data that front two identification is read. The data card that the present invention uses includes L0 card and M card (such as Fig. 8, Fig. 9). When running into unrecognizable type of card, data are abandoned, and read next line. When running into effective card, then according to card format cutting character string, obtain card data, and generate the supplementary class entity of corresponding device level according to type of card, then card data is written to the corresponding data field of the supplementary class entity of device level.
Step 7: by the Data Integration of supplementary for device level class entity to device level class entity. The device level created is supplemented class entity extract one by one, with device numbering for keyword, by the device level class entity that traversal search device numbering is identical. If searching matching entries, then (circuit supplements the zero-sequence reactance of class entity, zero sequence susceptance, zero sequence conductance, zero sequence resistance etc. device level to be supplemented the data in class entity; Electromotor supplements the direct-axis synchronous reactance of class entity, d-axis transient state reactance, quadrature axis synchronous reactance, quadrature axis transient state reactance, rotor leakage reactance, stator leakage reactance etc.) it is written to the corresponding data field in device level class entity, carry out data filling; As do not searched matching entries then discard.
By above step, the data of plant stand class entity and the data of device level class entity are finally given, as the model data that black starting-up DSS related algorithm calls.
The data class that the present invention uses is as follows:
(1) device level class:
Bus class BClass
{
Device name
Device numbering
Affiliated plant stand
Band electrical properties
Node
Node voltage
Burden with power
Load or burden without work
Bus allows maximum voltage
Bus allows minimum voltage
This bus place plant stand one-level burden with power
These two grades of burdens with power of bus place plant stand
This bus place plant stand superfine burden with power
Given volume item, starts when doing power supply for 500,000 buses
}
Class generator BQClass
{
Device name
Device numbering
Affiliated plant stand
Band electrical properties
Node
Node voltage
Burden with power
Load or burden without work
Burden with power
Load or burden without work
Maximum voltage
Minimum voltage
Maximum meritorious
Actual meritorious
Maximum idle
Minimum idle
Direct-axis synchronous reactance
D-axis transient state reactance
Quadrature axis synchronous reactance
Quadrature axis transient state reactance
Rotor leakage reactance
Stator leakage reactance
Capacity
Generator set type
Subsidiary engine part 1
Subsidiary engine part 2
Subsidiary engine part 3
Subsidiary engine part 4
Subsidiary engine part 5
}
Transformer ' s type TClass
{
Device name
Device numbering
Affiliated plant stand
Band electrical properties
Node 1
Node 2
Node 1 voltage
Node 2 voltage
Loop number
Reactance
Resistance
Susceptance
Conductance
Capacity
Tap 1
Tap 2
}
Circuit class LClass
{
Device name
Device numbering
Band electrical properties
Node 1
Node 2
Node 1 voltage
Node 2 voltage
Loop number
Reactance
Resistance
Susceptance
Conductance
Zero-sequence reactance
Zero sequence susceptance
Zero sequence conductance
Zero sequence resistance
Length
Rated current
}
High resistance class LplusClass
{
Device name
Device numbering
Band electrical properties
Node 1
Node 2
Node 1 voltage
Node 2 voltage
Loop number
Capacity on front side of reactor
Capacity on rear side of reactor
}
(2) device level supplements class:
Electromotor supplements class BQ2Class
{
Device name
Device numbering
Node
Direct-axis synchronous reactance
D-axis transient state reactance
Quadrature axis synchronous reactance
Quadrature axis transient state reactance
Rotor leakage reactance
Stator leakage reactance
}
Circuit supplements class L2Class
{
Device name
Device numbering
Node 1
Node 2
Zero-sequence reactance
Zero sequence susceptance
Zero sequence conductance
Zero sequence resistance
}
(3) plant stand class: plant stand class is the class to the abstract generation of the power plant in reality or power station, its effect is aggregation device class.Equipment class entity belonging to it power plant or power station information by the list of devices comprised putting a plant stand class entity under.
Plant stand class StationClass
{
Plant stand title
Plant stand type
Band electrical properties
Subregion sign
The list of devices comprised
The plant stand list being connected
}��
Claims (5)
1. the black starting-up DSS data preparation method based on BPA data, it is characterised in that including:
Create name relation synopsis;
Read and resolve BPA power flow files, creating device level class entity;
Plant stand class entity is created according to name relation synopsis;
By the Data Integration of name relation synopsis to device level class entity;
Device level class entity is added to its affiliated plant stand class entity;
Read and resolve BPA and stablize file, create device level and supplement class entity;
By the Data Integration of supplementary for device level class entity to device level class entity.
2. data preparation method as claimed in claim 1, it is characterised in that described reading and parsing BPA power flow files, creates device level class entity, including:
Read BPA power flow files;
Read data, identification card type line by line, obtain effective card;
According to card format cutting character string, obtain card data;
Device level class entity is generated, by the corresponding data field of card data write device level class entity according to type of card.
3. data preparation method as claimed in claim 1, it is characterised in that described by the Data Integration of name relation synopsis to device level class entity, including:
The device level class entity of correspondence is searched one by one according to the device numbering field in name relation synopsis;
By the data filling of name relation synopsis to described device level class entity.
4. data preparation method as claimed in claim 1, it is characterised in that described reading and parsing BPA stablize file, create device level and supplement class entity, including:
Read BPA and stablize file;
Read data, identification card type line by line, obtain effective card;
According to card format cutting character string, obtain card data;
Generate device level according to type of card and supplement class entity, card data write device level is supplemented the corresponding data field of class entity.
5. data preparation method as claimed in claim 1, it is characterised in that described device level is supplemented the Data Integration of class entity to device level class entity, including:
Extraction equipment level supplements class entity one by one, searches the device level class entity of correspondence one by one according to device numbering field therein;
By the data filling of supplementary for device level class entity to device level class entity.
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| CN201310540624.8A CN103559650B (en) | 2013-11-05 | 2013-11-05 | Black starting-up DSS data preparation method based on BPA data |
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|---|---|---|---|
| CN201310540624.8A CN103559650B (en) | 2013-11-05 | 2013-11-05 | Black starting-up DSS data preparation method based on BPA data |
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| CN103559650B true CN103559650B (en) | 2016-06-08 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101236575A (en) * | 2008-01-30 | 2008-08-06 | 山东大学 | Black start assistant decision making support/training system and its method |
| CN101436788A (en) * | 2008-12-17 | 2009-05-20 | 江西柘林水电开发有限责任公司 | Black startup method for non standby station service supply hydroelectric station hydro-turbo generator set |
| CN101552462A (en) * | 2008-12-30 | 2009-10-07 | 上海市电力公司 | Black-start method |
| CN102983629A (en) * | 2012-11-07 | 2013-03-20 | 中国电力科学研究院 | Auxiliary decision-making method for on-line power system restoration |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9054619B2 (en) * | 2012-02-29 | 2015-06-09 | General Electric Company | Systems and methods for black starting a power grid using a self-starting synchronous condenser |
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2013
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101236575A (en) * | 2008-01-30 | 2008-08-06 | 山东大学 | Black start assistant decision making support/training system and its method |
| CN101436788A (en) * | 2008-12-17 | 2009-05-20 | 江西柘林水电开发有限责任公司 | Black startup method for non standby station service supply hydroelectric station hydro-turbo generator set |
| CN101552462A (en) * | 2008-12-30 | 2009-10-07 | 上海市电力公司 | Black-start method |
| CN102983629A (en) * | 2012-11-07 | 2013-03-20 | 中国电力科学研究院 | Auxiliary decision-making method for on-line power system restoration |
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