CN109284346A - A kind of distribution network planning method and device based on cloud computing - Google Patents
A kind of distribution network planning method and device based on cloud computing Download PDFInfo
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Abstract
The distribution network planning method based on cloud computing that the invention discloses a kind of, first object data needed for obtaining distribution network planning business by the cloud computing planning platform constructed first are simultaneously stored into Cloud Server；Then classification processing is carried out to first object data, to form different types of database；Then the unified multiple distribution network planning data models of the second target data building structure in electric network model and each database are standardized based on 61970/61968 CIM/XML of IEC again；The target algorithm stored in cloud computing planning platform is finally called, processing is carried out to the data in each distribution network planning data model in Cloud Server and obtains distribution network planning result.Because the data storable value of Cloud Server is big, cloud computing improves the efficiency and reliability of distribution network planning to the computing capability of data processing and high-efficient.In addition, the invention also discloses a kind of distribution network planning device based on cloud computing, effect are as above.
Description
Technical field
The present invention relates to Power System Planning field, in particular to a kind of distribution network planning method and dress based on cloud computing
It sets.
Background technique
Urban distribution network planning is the important link and a complicated system engineering of Power System Planning, power train
It unites to enrich and improve the planning system of power distribution network, mitigates planning personnel's workload, improve planning efficiency and distribution
Net integral level is just actively developing the research of distribution network planning software at present.In physical planning need to each urban development with
And the historical data and as-is data of Operation of Electric Systems are analyzed.
Currently, mainly being handled by single computer the related data in power distribution network, in the small situation of data volume
Under, computational efficiency and accuracy are still more considerable.But with the application of production management systems various in electric system, number
It according to source more diversification and complicates, data volume to be treated also greatly increases.Because of multiple calculations in single computer
Method can only be executed successively, wait ability lateral comparison after each output result, and computational efficiency is lower；It is limited to the performance of computer
Bottleneck, database access bottleneck, can not accomplish Multi-category parallel processing, and lower data-handling capacity finally will affect planning
The reliability of calculated result, that is to say, that cause computational efficiency and program results accuracy low.Therefore, it improves to power distribution network
The processing capacity of magnanimity system data and treatment effeciency are particularly important in planning platform.
It can be seen that how to overcome when being handled due to traditional single computer mass data, treatment effeciency with
And the low problem of accuracy is those skilled in the art's urgent problem to be solved.
Summary of the invention
The embodiment of the present application provides a kind of distribution network planning method and device based on cloud computing, solves the prior art
In when being handled due to traditional single computer mass data, treatment effeciency and the low problem of accuracy.
In order to solve the above technical problems, the present invention provides a kind of distribution network planning method based on cloud computing, comprising:
Cloud computing planning platform is constructed in advance, needed for the planning business that power distribution network is obtained by the cloud computing planning platform
First object data, and by the first object data storage to Cloud Server；
Classification processing is carried out to form multi-type database to the first object data；
The second number of targets in electric network model and each database is standardized based on 61970/61968 CIM/XML of IEC
According to multiple distribution network planning data models that building structure is unified；
The target algorithm stored in the cloud computing planning platform is called, to each power distribution network in the Cloud Server
Data in layout data model carry out calculation processing to obtain distribution network planning result.
It is preferably, described that classification processing is carried out to form multi-type database to the first object data specifically:
The data source and data format different according to the first object data, classifies to the first object data
Processing is to form each database, and by each database purchase to the Cloud Server.
Preferably, the database includes real-time data base corresponding with the planning demand of the power distribution network, historical data
Library and time series database.
Preferably, the first object data specifically include socioeconomic data, the device data of the power distribution network and fortune
Row data and data corresponding with all kinds of production management systems.
Preferably, the data in each database are stored in by the data storage method of PostgreSQL+PostGIS
The Cloud Server.
Preferably, the layout data model includes that voltage class data model, time data model and planning are multi-party
Case data model.
Preferably, the cloud computing planning platform specifically includes planning cloud platform algorithm layer and represent layer.
Preferably, described based on 61970/61968 CIM/XML of IEC standardization electric network model and each database
In the unified multiple distribution network planning data models of the second target data building structure after, further includes:
Data in each distribution network planning data model are safeguarded and verified.
Preferably, in the target algorithm called and stored in the cloud computing planning platform, in the Cloud Server
After carrying out calculation processing to the data in each layout data model to obtain distribution network planning result, further includes:
In the represent layer according to the planning business function of the power distribution network, pass through figure and/or table and/or text
Mode is shown the distribution network planning result.
In order to solve the above technical problems, the present invention also provides a kind of corresponding with the distribution network planning method based on cloud computing
The distribution network planning device based on cloud computing, comprising:
First building module is matched for constructing cloud computing planning platform in advance by cloud computing planning platform acquisition
First object data needed for Electric Power Network Planning business, and by the first object data storage to Cloud Server；
Classification processing module, for carrying out classification processing to the first object data to form multi-type database；
Second building module, for based on 61970/61968 CIM/XML of IEC standardization electric network model and each number
According to multiple distribution network planning data models that the second target data building structure in library is unified；
Algorithm calling module, for calling the target algorithm stored in the cloud computing planning platform, in the cloud service
Calculation processing is carried out to obtain distribution network planning result to the data in each layout data model in device.
Compared with the prior art, a kind of distribution network planning method based on cloud computing provided by the present invention, passes through first
First object data needed for the cloud computing planning platform constructed obtains distribution network planning business are simultaneously stored into Cloud Server；
Then classification processing is carried out to first object data, to form different types of database；Then it is based on IEC 61970/ again
61968 CIM/XML standardize the unified multiple power distribution networks of the second target data building structure in electric network model and each database
Layout data model；The target algorithm stored in cloud computing planning platform is finally called, to each distribution network planning in Cloud Server
The data drawn in data model are handled to obtain distribution network planning result.That is, this method is advised according to cloud computing
The target algorithm stored in platform is drawn, the distribution network planning data model of acquisition is analyzed and processed in Cloud Server, into
And obtain the program results of power distribution network.Because the data storable value of Cloud Server is big, cloud computing is to the calculating energy of data processing
Power and high-efficient, so compared with utilizing single computer processing distribution network planning data in the prior art, just using this planning
Method can be improved processing capacity and treatment effeciency to mass data, and then improve in the support of power distribution network big data
The efficiency and reliability of distribution network planning.In addition, the present invention also provides a kind of distribution network planning device based on cloud computing, effect
Fruit is as above.
Detailed description of the invention
Fig. 1 is a kind of distribution network planning method flow diagram based on cloud computing provided by the embodiment of the present invention；
Fig. 2 is that component voltage grade provided by the embodiment of the present invention plans business data model schematic diagram；
Fig. 3 is the planning business data model schematic diagram for dividing the time provided by the embodiment of the present invention；
Fig. 4 is a kind of data interaction schematic diagram provided by the embodiment of the present invention；
Fig. 5 is another kind data interaction schematic diagram provided by the embodiment of the present invention；
Fig. 6 is another kind data interaction schematic diagram provided by the embodiment of the present invention；
Fig. 7 is cloud computing planning platform structural schematic diagram provided by the embodiment of the present invention；
Fig. 8 is a kind of distribution network planning device composition schematic diagram based on cloud computing provided by the embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without making creative work it is obtained it is all its
Its embodiment, shall fall within the protection scope of the present invention.
Core of the invention is to provide a kind of distribution network planning method and device based on cloud computing, can solve due to passing
When the single computer of system handles mass data, treatment effeciency and the low problem of accuracy.
Scheme in order to enable those skilled in the art to better understand the present invention, with reference to the accompanying drawing and specific embodiment party
The present invention is described in further detail for formula.
Fig. 1 is a kind of distribution network planning method flow diagram based on cloud computing provided by the embodiment of the present invention, such as Fig. 1 institute
Show, this method comprises:
S101: building cloud computing planning platform in advance, and distribution network planning business institute is obtained by cloud computing planning platform
The first object data needed, and by first object data storage to Cloud Server.
In the embodiment of the present application, particularly as be combine the computer technologies such as cloud computing, GIS (GIS-Geographic Information System) technology and
Distribution network planning professional technique constructs cloud computing planning platform using computer language in advance.In practical applications, it is preferable that
Cloud computing planning platform specifically includes planning cloud platform, algorithm layer and represent layer.After building cloud computing planning platform, need
First object data needed for obtaining distribution network planning business by the cloud computing infrastructure layer of cloud computing planning platform,
That is the cloud computing infrastructure layer by cloud computing planning platform carries out data interaction from different production management systems,
Such as SCADA system (data acquisition and supervisor control), distribution automation system and dispatch automated system, call and divide
Class stores the relevant data of all kinds of distribution network planning business.Preferably, first object data specifically include socioeconomic data, match
Grid operation data and data corresponding with all kinds of production management systems.
S102: classification processing is carried out to form different types of database to first object data.
After getting first object data, need to carry out classification processing to the first object data of acquisition, it is therefore an objective to
Multiple databases are formed, in practical applications, first object data can be classified according to the property of first object data
Obtain multiple databases.It specifically, is exactly in cloud computing infrastructure layer, by data management function to the social economy of input
The mass data of the types complexity such as data, grid operation data, all kinds of production management system data carries out classification processing, to be formed
The unified multiple databases of model criteria, and using the data storage capacities of cloud storage equipment, database is deposited in into virtualization
Cloud storage equipment in for cloud computing platform layer call.In order to improve the accuracy of data classification, preferably embodiment,
Classification processing is carried out to form multi-type database to first object data specifically:
The data source and data format different according to first object data carries out classification processing to first object data with shape
At each database, and by each database purchase to Cloud Server.Specifically aiming at the data source of first object and data format
Diversity, carry out that data classification is processed for different applications and planning algorithm is called with different modes.
S103: the second target in electric network model and each database is standardized based on 61970/61968 CIM/XML of IEC
Data construct the unified multiple distribution network planning data models of structure.
Specifically, after forming multi-type database, IEC is based in the infrastructure layer of cloud computing planning platform
61970/61968 CIM/XML standardizes the multiple of the second target data building structure unification in electric network model and each database
Distribution network planning data model forms the data model that multisystem is general in cloud computing planning platform.Calculate the base of planning platform
It is primary to complete electric system according to the figure of CIM (common information model), mould, library integrated modelling to graphically for Infrastructure layer
The foundation and maintenance of model.Consistency, standardization, normalization, practicability, integrality, safety based on data model and
On open principle basis, according to the demand of planning application function, in practical applications, preferably embodiment, is advised
Drawing data model includes voltage class data model, time data model and planning multi-scheme data model.
First, voltage class data model, Fig. 2 is that component voltage grade provided by the embodiment of the present invention plans business datum
Model schematic, as shown in Fig. 2, using unused data management mode to 35 (110) kV and 10kV power grids.Second, year number
According to model, Fig. 3 is the planning business data model schematic diagram for dividing the time provided by the embodiment of the present invention, as shown in figure 3, matching
In Electric Power Network Planning, different planning standard years respectively corresponds a set of status annual data and planning annual data, to planning business datum
Carrying out a point time manages.Third plans multi-scheme data model, establishes in programme in the same planning time and cover planning sides more
Case data, different planning times have formal scheme, alternative 1 and alternative 2 respectively, facilitate comparison and choice.It is more
It is mutually indepedent between set planning protocol, high, medium and low scheme is provided according to investment height.In mostly set programme, finally
A set of programme is determined as formal scheme, remaining scheme retains as alternative scheme.
In practical applications, the data in each distribution network planning data model include: first, and map datum mainly includes
Store the GIS map data of distribution network planning software, such as mountains and rivers, river, road and building related data.Such data
Will not be made an amendment during distribution network planning, the main figure layer in model include building, greenery patches, mountains and rivers, railway, road,
School, hospital, waters and settlement place etc..The styles store of map layer is in table layer_styles, to different figure layers
Pattern is separately configured, and the standard of configuration is OPENGIS figure layer XML pattern.Second, electrical equipment library data mainly include
Store the planning algorithm result data generated in electrical equipment, topological data and the planning process of distribution network planning.Specially
Device model manages class data, and topological class data are run class data (data such as network load, machine utilization, historical load), rule
It draws project data (user information, engineering information and algorithm management information etc.), planning GIS data (match by equipment class-substation
The data such as change, route and planning plot), algorithm interface data (data such as input data and calculated result).Third, history
Statistical data mainly includes operation history data, statistical data and planning historical data.
It obtains needed for distribution network planning business after data, carrying out mapping treatment process to data is first, for from all kinds of
The basic data that production management system obtains (meets the CIM/XML file, SVG file and state's net of IEC61970/CIM standard
The E formatted file of standard) it is led automatically by application verification and desk checking by certain rule using the method for model splicing
Enter into platform database, the premise of data mapping is: there is no change or lost devices objects during model splicing
Resource language RDFID.SVG file and CIM/XML file match, and keep the uniqueness of device resource code, SVG file
With graphical information, CIM file has model information, and mapping relations between the two are associated with by the RDFID of model object.It is right
In device object is without identifier RDFID the case where, the global name of device object is usually taken, such as each zone name describes different
It causes, then needs manually to establish and safeguard border object mapping table.Second, measuring point data pair required for being planned for distribution
Answer mode using variable name define in platform model and measuring point matched automatically, after data check enter system
In.This incidence relation is once established, since other external system models, the model of measurement and planning platform, measurement all use
Unified ID mark, can automatically realize the complete combination of other external system model, measurement and platform models, measurement.
S104: the target algorithm stored in cloud computing planning platform is called, to each distribution network planning number in Cloud Server
Calculation processing is carried out according to the data in model to obtain distribution network planning result.
After building each distribution network planning data model, so that it may be carried out to the data in each distribution network planning model
Calculation processing, particularly as being using the algorithm calling function in cloud computing planning platform, according to the demand of planning process from algorithm
Layer calls different planning algorithms, and makes full use of cloud computing ability, and object of planning algorithm is placed in Cloud Server to each
Data in layout data model are calculated, and program results are exported.Cloud computing planning platform be framework based on cloud platform and
General data model, algorithm, can call the IT facility resource such as Virtualization Computer on Cloud Server carry out data processing,
Database purchase and planning algorithm calculate, and make full use of the storage capacity and operational capability of cloud equipment.In practical applications, target
Algorithm includes the core algorithm of planning platform, i.e. Load flow calculation, topological analysis, power supply safety analysis, fail-safe analysis, load is pre-
Survey, addressing constant volume and layout of roads scheduling algorithm, and receive the scheduling of cloud computing planning platform.
Distribution network planning is known for the ease of related personnel as a result, on the basis of the above embodiments, it is preferably real
Mode is applied, the target algorithm stored in cloud computing planning platform is called, to the number in each layout data model in Cloud Server
After carrying out calculation processing to obtain distribution network planning result, further includes:
In represent layer according to the planning business function of power distribution network, to matching by way of figure and/or table and/or text
Electric Power Network Planning result is shown.
Particularly as be represent layer include distribution network planning main business workflow achievements exhibition, i.e., to matching in represent layer
Electric Power Network Planning result (power grid As-Is analysis, load prediction, substation locating and sizing, layout of roads, the network planning and planning warp
Ji evaluation etc.) be shown, it is preferable that represent layer can to power distribution network As-Is analysis, load prediction, substation locating and sizing,
The result that all kinds of planning such as layout of roads, the network planning and program evaluation calculate is with the side of figure and/or table and/or text
Formula is shown.
Cloud computing planning platform devises the side of a variety of data interactions according to different application interactive system in distribution network planning
Formula interacts with the application interface, specifically includes:
First, using data center's route+data center, Fig. 4 is a kind of data interaction provided by the embodiment of the present invention
Schematic diagram, as shown in figure 4, larger for data volume, requirement of real-time is lower when progress data obtain automatically between information system
Data the process obtained automatically are as follows: the first step, complete model data resource management tool deployment；Second step is checked
Whether data center's data resource pond has required data, and if so, directly extracting data from data center；Third step, number
Data that will be shared according to provider are stored in data center, can be used two ways, and first, data providing pushes incremental data
To area of data center；Second, data providing establishes unified view, specifies incremental data, and open Relational database permission uses
ETL mode extracts incremental data to area of data center.Data requirements side's (cloud computing planning platform in power distribution network) uses ETL
Mode periodically extracts incremental data to data requirements method, system from data center.
Second, using Enterprise Service Bus (ESB) route+data center's structure, Fig. 5 is provided by the embodiment of the present invention
Another data interaction schematic diagram, as shown in figure 5, requirement of real-time higher shared class data big for data volume, using number
According to center+Enterprise Service Bus (ESB) technology path.Detailed process are as follows: the first step completes model in data resource management tool
Deployment, complete interface Enterprise Service Bus (ESB) registration；Second step, checks whether data center's data resource pond has
Required data, and if so, directly extracting data from data center.Third step, data providing data are updated and are pushed to
After data center, data requirements side (the cloud computing planning platform in power distribution network) is called to be registered on Enterprise Service Bus (ESB)
Data service, notification data party in request data have updated；4th step, data requirements side are connected to the data of data providing transmission
After notice, corresponding data is extracted from data center using ETL mode and feeds back success or failure and identifies to data providing.
Third, using E file route+data center's structure, Fig. 6 is that another kind data provided by the embodiment of the present invention are handed over
Mutual schematic diagram, as shown in fig. 6, being integrated for scheduling system with other systems, using " data center's+E file mode "
Technology path.Specific cross is known as: the first step checks whether data center's data resource pond has required data, and if so,
Directly data are extracted from data center；Second step, OMS issue E formatted file, and E language analysis program reads E language file and goes forward side by side
Row parsing write-in data center；Third step, data requirements side periodically extract incremental data from data center ODS using ETL mode
To data requirements method, system.
4th, messaging bus interface, messaging bus interface provides event subscription service for application program, supports TOPIC's
Mode, manager interface support setting event category, event source, event source affiliated area, the type in event source, event it is serious
A variety of filter conditions such as rank and their combination.By the way that filter condition appropriate is arranged, the accurate of event push can be improved
Degree.Messaging bus has the characteristics that the businesslike message of processing, high performance data distribution.
5th, web Service interface, WebService makes the different planning applications on different machines need not be by additional
, special third party software or hardware, so that it may be exchanged with each other data or integrated.Foundation Web Service enforcement of regulations application,
No matter what their used language, platform or internal agreements are, can be exchanged with each other data.WebService is to retouch certainly
It states, self-contained available network module, specific business function can be executed.WebService is also easy to dispose, because it
Based on some conventional industry standards and existing some technologies, subset X ML under such as standard generalized markup language,
HTTP.Web Service reduces the cost of application interface.WebService is between entire planning platform and planning application
The integrated of operation flow provide a general mechanism.
In practical applications, the platform information interaction bus in distribution network planning is designed according to 61968 standard of IEC, is used
The message mechanism of Enterprise SOA (SOA) and coarseness realize the loose coupling between each system, cannot between each system
It is directly connected to, requires connect in bus and carry out information exchange with other relevant information systems, to guarantee the spirit of information exchange
Activity, reliability, safety.It is encapsulated by service, inside realizes an area with electricity operation monitoring application and three area's distribution O&M pipes
Information exchange between ought to using；Realize the information exchange between electrical power distribution automatization system main website and multiple business application systems in outside.
Concrete function with the interconnection of each system information includes: first, artwork interaction content, and specifically, the first step is pressed from PMS acquisition
Power distribution network network model, related electric wiring diagram, geography along Butut, unusual fluctuation procedure information and related primary equipment parameter and are set
Standby geographical coordinate；Second step obtains network topology, substation's figure of high voltage distribution network (including 35kV, 110kV) from EMS system
Shape and related primary equipment parameter；Third step obtains network topology, the feedback of medium voltage distribution network (including 10kV) from DMS system
Line line chart, related primary equipment parameter.4th step obtains low and medium voltage distribution network geography along Butut from generalized information system.Second, number
According to interaction content, specifically, the first step obtains measurement and the shape of substation 35kV/110kV voltage class relevant device from EMS
The information such as state；Second step, the correlation that low and medium voltage distribution network (10kV/380V/220V) is obtained from PMS, sales service system are set
Standby parameter and public change, the operation data, marketing data, the customer information that specially become client etc.；Third step obtains distribution from PMS system
Net facilities plan service information, client report the distribution service management information such as work order for repairment；4th step presses feeder line from DMS acquisition
The information such as the measurement of 10kV voltage class relevant device and state；5th step obtains the critical point Tai Qu from power information acquisition system
Table, the electric current of family table, voltage, power.
The characteristics of cloud computing infrastructure layer in cloud computing planning platform provided by the embodiments of the present application is according to cloud computing
With distribution network planning technical specification carry out planning database design, data storage, modeling, guarantee layout data integrality and
Efficiency, the accuracy of data processing；Cloud computing platform layer has unified GIS (GIS-Geographic Information System) service platform, electric system mould
Functions are called etc. in type and data management using interaction, communication management, project management, flow services algorithm, infrastructure layer it
The upper cloud computing function of realizing distribution network planning；Solve power distribution network multi-source, polymorphic type, mass data specification classification storage and place
The problem of reason.And using virtualization and cloud computing technology, the Share Model set being deployed on cloud computing planning platform is constructed,
Being formed has unified standard, extensive, high universalizable and the virtualization model center for being easy to expand.At virtualization model center
On the basis of, each system resource is integrated, system shared resource pond is constructed, it is mutual between realization power distribution network advanced application system
Operation is integrated into the unified planning cloud computing platform of an adaptation distribution network planning requirement jointly.Cloud computing planning platform is powerful
Calculating and storage capacity, help to realize planning algorithm in line computation operating analysis and optimal control.The embodiment of the present application
The provided distribution network planning method based on cloud computing is based on cloud computing planning platform, makes full use of computing resource, realization is matched
Electric Power Network Planning whole business information has at low cost, high reliablity, easily extension etc. excellent in the reliable memory and management of Cloud Server
Gesture convenient for the exploitation, maintenance and use of system, and can easily carry out system upgrade in existing computing capability deficiency.With
Traditional planning calculates mode and compares, and planning cloud platform solves traditional planning platform data processing capacity and inefficiency, and
In parallel processing planning process the problem of multisystem polymorphic type mass data, can not improve planning platform data service capabilities and
Reliability.
A kind of distribution network planning method based on cloud computing provided by the present invention is advised by the cloud computing constructed first
It draws first object data needed for platform obtains distribution network planning business and is stored into Cloud Server；Then to first object number
According to classification processing is carried out, to form different types of database；Then it is standardized again based on 61970/61968 CIM/XML of IEC
Multiple distribution network planning data models of the second target data building structure unification in electric network model and each database；Finally adjust
With the target algorithm stored in cloud computing planning platform, in Cloud Server to the data in each distribution network planning data model into
Row processing is to obtain distribution network planning result.That is, this method is calculated according to the target stored in cloud computing planning platform
Method is analyzed and processed the distribution network planning data model of acquisition in Cloud Server, and then obtains the planning knot of power distribution network
Fruit.It is and existing because the data storable value of Cloud Server is big, cloud computing is to the computing capability of data processing and high-efficient
It is compared in technology using single computer processing distribution network planning data, using this planing method, be can be improved to mass data
Processing capacity and treatment effeciency, and then improve in the support of power distribution network big data the efficiency of distribution network planning and reliable
Property.
Source and business scenario in view of data, on the basis of the above embodiments, preferably embodiment,
Database includes real-time data base corresponding with distribution network planning demand, historical data base and time series database.
Specifically aiming at different data and different business scenarios, different data storage methods has been divided, it is specific to wrap
Include real-time data base, historical data base and time series database.Real-time data base is the dedicated memory number for power domain exploitation
According to library, the data of on-line operation are managed；Historical data base is mainly used for storage system model, parameter, electrical network basic data, load
Prediction data, substation planning data, space truss project data, technical economic analysis data and aid decision related data and
The read-write frequency of GIS space model data, real-time data base is lower；Time series database (is pressed mainly for the treatment of band time tag
According to the time sequence variation, i.e., the time serialize) sampled data.In practical applications, according to temporal model library thinking, but it is right
The data in each year carry out data classification, classify in terms of planning, be divided into map data base, electrical equipment-data library with
And historical statistical data library.The GIS map data of map data base storage distribution network planning；Electrical equipment-data library stores distribution
The electrical equipment and topological data that network planning is drawn；Historical statistical data library stores electric distribution network electrical equipment operation of power networks history and statistics
Data.
The management of real-time data base, historical data base and time series database is illustrated below.
First, real time database management.
Real time database management subsystem is established on efficient memory management and Indexing Mechanism, is object-oriented, is opened
Put, distributed mass real-time relational database management system has 5,000,000 point grade processing capacities, meets large-scale with network planning
Draw the acquisition and processing requirement of mass data.Original data model is stored in commercial library, on each application server (logic) in real time
Data in the library lower dress from commercial library can be the access service of other clients providing datas after lower dress.Real-time data base is real
Body is only distributed in Logic application server-side, and logic client does not have real-time database.The design of real-time database in distribution network planning, ginseng
The characteristics of having examined relational model of database, and being directed to real time data and distributed frame is improved, and such as affairs are eliminated
The function for the treatment of effeciency is had little significance but seriously affected to real time data, and is added to such as the whole network synchronized update function, so that
Current real-time data base can meet the requirement of real time data efficient process well, also can satisfy distributed system knot
The requirement of structure.
The design of real-time data base is described in detail below, first, using distributed frame；Convenient for real-time data base
The increase and decrease of node, different using centralised storage from general commercial database, this real-time data base supports distributed frame, different
The real time data of node realizes synchronous refresh by synchronization mechanism.This structure makes system have good opening, can be with
Easily carry out the increase and decrease of node.Second, using relational model, support sql like language；SQL structured query language, major function
It is exactly to be contacted with various Databases, is linked up.SQL statement can be used to execute various operations, such as update
Data in database, extract data etc. from database, including Select, Insert, Update, Delete, Create and
The order such as Drop, to complete almost all of database manipulation.Third, cross-platform strategy；Particularly as being the design of real-time database
Cross-platform strategy is used in development process, is suitable for various UNIX, LINUX and WINDOWS operating systems, it is versatile.4th,
On-time model is synchronous；Particularly as being that real-time data base has on-time model synchronizing function, do not needed in debugging process start and stop into
Journey.Database model data are stored in the table of commercial data base, and application program will need the information modified to be sent to commercialization
Database service process, after successfully modified.Commercial data base service processes send messages to the real-time mould on each application server
Type modifies process, which is responsible for modifying the real-time data base of the machine.5th, polymorphic mostly application is supported；Particularly as being real-time number
According to library support mostly using and it is polymorphic, mostly application and it is polymorphic between data answered in not homomorphism different application mode such as SCADA, PAS etc.
There is respectively different entities with lower, different application real-time data base entity is only distributed in Logic application server-side, logic
Client does not have real-time database, and all is all that transparent access side is provided by real-time dataBase system for application data access
Formula.All access are all transparent for visitor's client.
Second, historical data base management.
Historical data base is mainly used for storage system model, parameter, electrical network basic data, load prediction data, substation
Layout data, space truss project data, technical economic analysis data and aid decision related data, GIS space model data etc.
The data of long-term preservation are needed, reading and writing data frequency is lower.Planning platform using commercial data base or PostgreSQL database (MySQL,
PostgresSQL etc.) store historical data, and by a set of historical data database management module, synchronizing multiple databases are realized, are protected
Demonstrate,proved historical data it is complete with it is reliable.Historical data base service is mainly completed directly to exchange data with commercial data base, knot
Fruit (inquiries and update of data) is quoted by other service processes or Client application process.Data service content includes: model
More new demand servicing, data submit the service that fills under service, data, data query service, data sampling service and database positioning prison
Depending on service etc..Hierarchical relationship of the historical data base service in data processing.
Third, time series database management.
64 bit manipulation system of time series database service support and cross-platform operation, high speed processing distribution magnanimity in real time, history
Data and the quality of data, the recall precision high to real time data and historical data, complete true reappearance historical variations process, together
When operational efficiency with higher compared with similar product, there is lower memory and CPU to consume.Its main feature includes, high
The storage algorithm of effect: using the Mixing compression algorithm of lossy compression (improved revolving door algorithm) and lossless compression, has higher
Data compression ratio, greatly save memory space, actual storage amount event number each second is greater than 100,000.Data storage uses B+
Index technology is set, storage and inquiry are more efficient.Efficient network frame: using Distributed Design, and background service uses event
The frame of driving can support high concurrent to access (while supporting connection number > 1000).Recovery policy: power down is supported to detect automatically
And reparation, it can correctly be run after guaranteeing starting timing sequence library next time.It supports manual repair data, number can be imported from other libraries
According to.It supports client-cache technology, easily copes with the situations such as network accidental interruption.
The embodiment of the present application realizes a kind of simple relation type, embedded database based on shared drive；Specific manifestation
Are as follows: first, interface is accessed by structural body access and dynamic array；Second, relationship table handling engine is tied by unique storage
Structure design and Index Design carry out data isolation by " state-application "；Third, concurrently lock design, including thread lock and process lock,
Table level lock and row grade lock, anti-deadlock and spin lock；4th, memory allocator passes through shared drive and File Mapping.
For the ease of the speed of storage and the raising data storage of data, on the basis of the above embodiments, as excellent
Selection of land embodiment, the data in each database are stored in cloud service by the data storage method of PostgreSQL+PostGIS
Device.
Particularly as being number that data in cloud computing planning platform in each database use PostgreSQL+PostGIS
It is stored in Cloud Server according to storage mode, certainly, in practical applications, other satisfactory storage modes pair can also be used
Related data is stored.
For the ease of being stored to related data, on the basis of the above embodiments, preferably embodiment, cloud
It calculates planning platform and specifically includes planning cloud platform, algorithm layer and represent layer.
In order to make those skilled in the art more fully understand this programme, the structure of cloud computing planning platform is carried out below detailed
Describe in detail it is bright, Fig. 7 be the embodiment of the present invention provided by cloud computing planning platform structural schematic diagram, as shown in fig. 7, cloud computing plan
Platform 7 includes represent layer 71, plans cloud platform 72 and algorithm layer 73, and planning cloud platform 72 includes podium level service 720, and basis is set
Apply layer 721 and Cloud Server 723.The characteristics of infrastructure layer 721 is according to cloud computing and distribution network planning technical specification carry out
Design, the data storage, modeling of planning database, guarantee the integrality of layout data and the efficiency of data processing, accuracy；It is flat
Platform layer service 720 has unified GIS (GIS-Geographic Information System) service platform, electric power system model and data management, using interaction, logical
The functions such as management, project management, flow services algorithm calling are interrogated, the cloud of distribution network planning is realized on infrastructure layer 721
Computing function；Algorithm layer 73 storage include Load flow calculation, topological analysis, power supply safety analysis, fail-safe analysis, load prediction,
All kinds of planning algorithms such as substation locating and sizing, distribution line planning are for calling；Represent layer 71 is pre- to power grid As-Is analysis, load
The result that all kinds of planning such as survey, substation locating and sizing, layout of roads, the network planning, program evaluation calculate with text, figure,
The mode of table is shown.Various algorithms in algorithm layer 73 are generally stored in Cloud Server 723, V1- shown in fig. 7
V6 indicates server.Using the computer technologies such as cloud computing, GIS (GIS-Geographic Information System) technology and distribution network planning profession skill
Art combines, and can solve mass data processing, calculates the problems such as analysis and data sharing.
Planning software is constituted using general GIS (geography information) service platform particularly as being cloud computing planning platform 7
Basic support platform plans that the basic function of cloud platform 72 is main according to the design of distribution network planning system architecture and core concept
Including three GIS service platform feature, base support function, data platform function modules, wherein GIS service platform is power distribution network
The basis of planning and core.GIS service platform supports grid (raster) and two kinds of images of vector (vector), the former mainly wraps
The file formats such as GeoTIFF, JPEG, PNG are included, the latter carries out in the form of three kinds of point, broken line and polygon elements (feature)
Storage.By the way of vector image, polar plot is logically considered as comprising coordinate information and other letters GIS service platform
The table of breath, storage in the database, form the database of stored GIS platform geographical spatial data, as spatial database
(spatial database).QGIS in the embodiment of the present application support with Oracle Spatial, SQL Server, MySQL,
A variety of Sybase connections such as PostgreSQL, wherein PostgreSQL is the major database for planning Unified Supporting Platform.
PostgreSQL introduces Object-oriented Technique in traditional relational database as a kind of Object-relational Database, to deposit
Store up non-structured spatial data.For the operation for carrying out spatial data, planning cloud platform 72 introduces PostGIS conduct
An extension of PostgreSQL, to provide all kinds of convenient and fast spatial data handling functions.
It is to be handed over by data management platform and application in the critical process that cloud computing planning platform 7 carries out planning cloud computing
Mutual function, GIS service platform can be automatic with the SCADA system (data acquisition and supervisor control) in electric system, distribution
All kinds of power production management systems such as change system, dispatch automated system are connected, and call each production management system number downwards
According to progress data processing；Carry out every planning operation flow of planning platform by flow services function.It is with GIS service platform
Fundamental construction cloud computing platform realizes that bottom data platform and GIS service platform pass through on basic data layer
GIS background service calls Various types of data, and the business demand and each functional module of planning platform are realized by front end interaction.GIS
Service platform provides power distribution network infrastructure device data containing geographical location information, history run for each application function of distribution network planning
Data, to various information needed for planning provide editor and input function, and using picture abundant to various basic datas,
Network structure, planning application data result etc. are sufficiently shown, are operated and are analyzed and determined convenient for planning personnel, are distribution
Net planning provides strong technical support.In addition to this, GIS service platform additionally provides map and shows function；Edit function
Can, including creating, deleting layer, the amplification of figure, diminution, the editor of figure layer element, inquiry and attribute modification, spatial analysis meter
The functions such as calculation.In addition to basic GIS function, dynamic modification can be carried out according to the needs of planning with the pattern to figure layer.GIS platform
Layer style the label of figure layer is carried out using the SLD pattern annotation of OGC standard.
In order to facilitate business datum needed for maintenance, inquiry power distribution network, on the basis of the above embodiments, preferably
Embodiment standardizes the second target data in electric network model and each database based on 61970/61968 CIM/XML of IEC
After the multiple distribution network planning data models for constructing structure unification, further includes:
Data in each distribution network planning data model are safeguarded and verified.
First, the data in each layout data model are safeguarded.
Particularly as being to devise system configuration software in cloud computing planning platform, system configuration software support is to system mould
The online modification of type and offline modification.The function that system configuration software includes has: first, model data verifying function；Pattern number
According to management by setting up data check rule, including numberical range, uniqueness check, default value, the constraint relationship, reference etc., protect
The data that card enters database are all that effectively, any invalid data would not allow for entering database.Second, model editing；
The structural maintenance function of model table；The importing and export function of model table structure；Region, plant stand, feeder line increase/delete/repair
Change；Increase/deletion/modification of primary equipment；Increase/deletion/modification of secondary device；The increase of the collection models such as RTU, PMU/
Deletion/modification；The increase/deletion/for calculating point remodifies.Third, rights management；Rights management subsystem is mainly completed as follows
Function: the creation and maintenance of system user group, the creation of system user information and maintenance, the creation of object zone of responsibility and maintenance are
The functions such as zone of responsibility maintenance of uniting configures, system node permission is safeguarded.4th, the Backup and Restore function of data is provided；Model data
Management is supported on filing database to off-line store, and can be restored data in system from offline memory device, so as to
The review and analysis of event.Meanwhile providing complete Backup and Restore means.5th, have the function of data diversity storage；?
On the basis of the storage of one set of model, by polymorphic and more application systems, a variety of different data sets are established, for different applications
Purpose and operational mode, such as emulation data set, layout data collection, future models data set and real-time, test, research mould
Formula.Platform model maintenance tool perceives new variation model by the modes such as message or automatic cycle extraction, manual withdrawal,
Boot Model calibration tool verifies model to be spliced together, and increment imports, and realizes source data collection automation and system
Degreeization reflects the variation of load and power grid in time.
Second, the data in each layout data model are verified.
Particularly as being that the model for entering planning platform is verified and checked, to ensure the integrality of model, correctness
And availability, it is used for the advanced computation such as distribution planning, simulation analysis.Check result correctness, in picture or school
Prompt is provided in nuclear tool.To the place of mistake, apparent prompt is provided, facilitate positioning and is searched problem.Model data is checked
Include: syntactic verification, topological verification, logic verify, using verifying and the customized verification of user.
Syntactic verification: CIM XML file grade interoperability is to realize one of the standard mode of inter-system data exchange.Meet
The CIM XML file of XML grammer is referred to as suitable (well-formed), and it is basic that this is that CIM XML file must satisfy
It is required that；Meet CIM/RDF mode to require to meet CIM/RDF semanteme, and suitable CIM XML file is referred to as effective
(valid), only effective CIM XML file could carry out between the systems data exchange by the carrier as normal data.
During CIM/XML file imports, data that are effective and meeting in the CIM/XML file of 61970 standard of IEC can
With by correct import system, but the model data imported may and be unsatisfactory for the primitive rule of electric system, this can cause to lead
The mistake for entering electric network model in method, system is established.Therefore in addition to having comprising verification CIM/XML file in CIM/XML import modul
The rule of effect property is outer, it is also necessary to which addition is advised substantially for whether the model data for including in CIM/XML file meets electric system
Verification then.
Topology verification: topology verification mainly carries out connectivity analysis, detects unreasonable isolated network.
Logic verify: logic verify is then that link relation meets electric power system planning, such as the company of different voltages grade equipment
It connects, main electrical scheme electric rule etc., this two work are resolved to buffer area in the temporary pattern view for being building in CIM/XML
It analyzes and determines.
Using verification: being to be completed in model splicing and obtain the verifying carried out after real time data section using verification, such as
State estimation and Load flow calculation, since increment fallback mechanism may be implemented in model splicing, subsequent verification is also feasible side
Formula.
The customized verification of user: the verification rule and correspond to effect failure that the customized verification of user is defined according to user
Wrong data treatment principle is checked and is corrected to each basic data into library.
It is described in detail above for a kind of embodiment of distribution network planning method based on cloud computing, based on upper
A kind of distribution network planning method based on cloud computing for stating embodiment description, the embodiment of the invention also provides a kind of and this method
A kind of corresponding distribution network planning device based on cloud computing.Due to the embodiment and the embodiment phase of method part of device part
It is mutually corresponding, therefore the embodiment of device part please refers to the embodiment description of method part, which is not described herein again.
Fig. 8 is a kind of distribution network planning device composition schematic diagram based on cloud computing provided by the embodiment of the present invention, such as
Shown in Fig. 8, which includes the first building module 801, and classification processing module 802, the second building module 803 and algorithm call
Module 804.
First building module 801 obtains distribution by cloud computing planning platform for constructing cloud computing planning platform in advance
First object data needed for network planning draws business, and by first object data storage to Cloud Server；
Classification processing module 802, for carrying out classification processing to first object data to form multi-type database；
Second building module 803, for based on 61970/61968 CIM/XML of IEC standardization electric network model and each data
Multiple distribution network planning data models of the second target data building structure unification in library；
Algorithm calling module 804, it is right in Cloud Server for calling the target algorithm stored in cloud computing planning platform
Data in each layout data model carry out calculation processing to obtain distribution network planning result.
A kind of distribution network planning device based on cloud computing provided by the present invention is advised by the cloud computing constructed first
It draws first object data needed for platform obtains distribution network planning business and is stored into Cloud Server；Then to first object number
According to classification processing is carried out, to form different types of database；Then it is standardized again based on 61970/61968 CIM/XML of IEC
Multiple distribution network planning data models of the second target data building structure unification in electric network model and each database；Finally adjust
With the target algorithm stored in cloud computing planning platform, in Cloud Server to the data in each distribution network planning data model into
Row processing is to obtain distribution network planning result.That is, the device is calculated according to the target stored in cloud computing planning platform
Method is analyzed and processed the distribution network planning data model of acquisition in Cloud Server, and then obtains the planning knot of power distribution network
Fruit.It is and existing because the data storable value of Cloud Server is big, cloud computing is to the computing capability of data processing and high-efficient
It is compared in technology using single computer processing distribution network planning data, using this device for planning, be can be improved to mass data
Processing capacity and treatment effeciency, and then improve in the support of power distribution network big data the efficiency of distribution network planning and reliable
Property.
Detailed Jie has been carried out to a kind of distribution network planning method and device based on cloud computing provided by the present invention above
It continues.With several examples, principle and implementation of the present invention are described herein, the explanation of above embodiments, only
It is used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, according to the present invention
Thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be understood
For limitation of the present invention, those skilled in the art are repaired under the premise of no creative work to what the present invention was made
Change, equivalent replacement, improvement etc., should be included in the application.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by
One operation is distinguished with another operation, without necessarily requiring or implying there are any between these entities or operation
This actual relationship or sequence.Moreover, the similar word such as term " includes ", so that including the unit of a series of elements, equipment
Or system not only includes those elements, but also including other elements that are not explicitly listed, or further includes for this list
Member, equipment or the intrinsic element of system.
Claims (10)
1. a kind of distribution network planning method based on cloud computing characterized by comprising
Building cloud computing planning platform in advance is obtained the needed for the planning business of power distribution network by the cloud computing planning platform
One target data, and by the first object data storage to Cloud Server；
Classification processing is carried out to form multi-type database to the first object data；
The second target data structure in electric network model and each database is standardized based on 61970/61968 CIM/XML of IEC
Build the unified multiple distribution network planning data models of structure；
The target algorithm stored in the cloud computing planning platform is called, to each distribution network planning in the Cloud Server
Data in data model carry out calculation processing to obtain distribution network planning result.
2. the distribution network planning method according to claim 1 based on cloud computing, which is characterized in that described to described first
Target data carries out classification processing to form multi-type database specifically:
The data source and data format different according to the first object data carries out classification processing to the first object data
To form each database, and by each database purchase to the Cloud Server.
3. the distribution network planning method according to claim 1 based on cloud computing, which is characterized in that the database includes
Real-time data base corresponding with the planning demand of the power distribution network, historical data base and time series database.
4. the distribution network planning method according to claim 1 based on cloud computing, which is characterized in that the first object number
According to specifically include socioeconomic data, the device data of the power distribution network and operation data and with all kinds of production management systems
Corresponding data.
5. the distribution network planning method according to claim 3 based on cloud computing, which is characterized in that in each database
Data the Cloud Server is stored in by the data storage method of PostgreSQL+PostGIS.
6. the distribution network planning method according to claim 1 based on cloud computing, which is characterized in that the layout data mould
Type includes voltage class data model, time data model and planning multi-scheme data model.
7. the distribution network planning method according to claim 1 based on cloud computing, which is characterized in that the cloud computing planning
Platform specifically includes planning cloud platform, algorithm layer and represent layer.
8. the distribution network planning method according to claim 1 based on cloud computing, which is characterized in that be based on IEC described
61970/61968 CIM/XML standardizes the second target data building structure unification in electric network model and each database
After multiple distribution network planning data models, further includes:
Data in each distribution network planning data model are safeguarded and verified.
9. the distribution network planning method according to claim 7 based on cloud computing, which is characterized in that described in the calling
The target algorithm stored in cloud computing planning platform, in the Cloud Server to the data in each layout data model into
After row calculation processing is to obtain distribution network planning result, further includes:
In the represent layer according to the planning business function of the power distribution network, by way of figure and/or table and/or text
The distribution network planning result is shown.
10. a kind of distribution network planning device based on cloud computing characterized by comprising
First building module obtains power distribution network by the cloud computing planning platform for constructing cloud computing planning platform in advance
First object data needed for planning business, and by the first object data storage to Cloud Server；
Classification processing module, for carrying out classification processing to the first object data to form multi-type database；
Second building module, for based on 61970/61968 CIM/XML of IEC standardization electric network model and each database
In the unified multiple distribution network planning data models of the second target data building structure；
Algorithm calling module, for calling the target algorithm stored in the cloud computing planning platform, in the Cloud Server
Calculation processing is carried out to obtain distribution network planning result to the data in each layout data model.
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