CN105447175A - Power grid model sharing method applicable to distributed computation of power system - Google Patents
Power grid model sharing method applicable to distributed computation of power system Download PDFInfo
- Publication number
- CN105447175A CN105447175A CN201510906219.2A CN201510906219A CN105447175A CN 105447175 A CN105447175 A CN 105447175A CN 201510906219 A CN201510906219 A CN 201510906219A CN 105447175 A CN105447175 A CN 105447175A
- Authority
- CN
- China
- Prior art keywords
- model
- distributed
- equipment
- computation
- access
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/176—Support for shared access to files; File sharing support
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a power grid model sharing method applicable to distributed computation of a power system. The method comprises: constructing a power grid physical model applicable to multi-stage scheduling integrated distributed computation; performing local and global verification on a distributed integrated power grid model sequentially; performing distributed storage and redundancy backup on the power grid model that passes the verification; enabling the power grid physical model that passes the verification; and integrating a large power grid distributed network topology analysis function and a distributed state estimation function to a model management center, and accessing to the power grid physical model and a computation model according to different demands of applications. According to the method, existing storage resources of distributed deployment of each scheduling center are fully used, and physical distributed storage and logic centralized management are performed on the power grid physical model and the computation model by using a distributed data deployment policy, so that the power grid model is constructed. Based on a distributed database technology and a distributed file system technology, full-network instant sharing of the power grid physical model and the computation model is implemented.
Description
Technical field
The present invention relates to a kind of maintenance and share method, be specifically related to a kind of electric network model Instantaneous sharing method being applicable to electric system distribution on line formula and calculating.
Background technology
Along with China's extra-high voltage interconnected power grid construction and and the access of large-scale distributed power supply, be support electric power system dispatching business, objectively require that the power network modeling scope of bulk power grid Dispatching Control System is larger, precision is higher.Line voltage grade is upwards developed to 1000kV extra-high voltage grid, extends downward the modeling that becomes more meticulous that distributed power source networks, the positive rapid expansion of electrical network scale.For adapting to the demand that trans-regional, the different voltage grade Collaboration computing of large-scale interconnected power system and ultra-large electrical network calculate, New Generation of Intelligent dispatching of power netwoks control system proposes the general frame that bulk power grid distributed analysis calculates, and electric network model is the basis of Electrical power system analysis and computing.To this, need to formulate the electric network model Instantaneous sharing method being applicable to scale grid line Distributed Calculation, for the scale grid line distributed computing platform sharing problem under multi-level collaborative scheduling method provides solution.
Domestic sharing about model information the whole network carries out deep research.Intelligent grid Dispatching Control System has promoted the integration of electric network model Back ground Information preferably and has shared, wherein describe the popularization of the standards such as rule CIM/G based on electrical network universal model Description standard CIM/E and electric system figure, improve the degree of share of the information such as model, figure between regulation and control center to a certain extent.
Longitudinal aspect, intelligent grid Dispatching Control System based on CIM/E model splicing technology at present state, point, economize and achieved the unidirectional of 220kV and following electric network model between adjusting and share, but oppositely sharing of 500kV and above electric network model is also unrealized, still limited to the support of scale grid line analytical calculation, at a point tune, economize in adjusting system the problem such as differentiation modeling, repeated work that may occur same power network object.On the other hand, existing electric network model adopts centralized data base to store in dispatching center at different levels, effectively can not support the scale grid line Distributed Calculation general frame that New Generation of Intelligent dispatching of power netwoks controls.
Lateral aspects, the source that intelligent grid Dispatching Control System has realized electric network model is safeguarded and cross-safety zone sharing functionality, ensure that the integrality of online electric network model inner each place of safety in dispatching center, consistance and promptness.But on-time model and off-line model is inconsistent etc. that problem not yet solves, cause on-line analysis result of calculation and off-line analysis result of calculation inconsistent.
In sum, for the demand that trans-regional, the different voltage grade Collaboration computing of response large-scale interconnected power system and ultra-large electrical network calculate, for adapting to the scale grid line Distributed Calculation general frame that New Generation of Intelligent dispatching of power netwoks control system proposes, need to propose new solution towards problems such as the distribution maintaining of electric network model, distributed store and the whole network Instantaneous sharings.
Summary of the invention
To achieve these goals, the invention provides a kind of electric network model being applicable to electric system Distributed Calculation and share method, distributing real-time data bank technology and distributed file system is adopted to realize distribution maintaining and the whole network Instantaneous sharing of electric network model, improve the ageing of scheduling electric network model at different levels renewal, under multi-level collaborative scheduling method, the electric network model sharing problem of scale grid line Distributed Calculation provides solution.
The object of the invention is to adopt following technical proposals to realize:
The electric network model being applicable to electric system Distributed Calculation shares a method, and described method comprises:
(1) the electrical network physical model being applicable to multi-stage scheduling integration Distributed Calculation is built;
(2) local and overall situation verification are carried out successively to distributed integrated electric network model; And carry out distributed storage and redundancy backup by verifying the electric network model passed through;
(3) the electrical network physical model be verified is enabled;
(4) bulk power grid distributed network topology analytic function and distributions assessment function are integrated into model management center, according to the different demands of application, access electrical network physical model and computation model; Wherein, described bulk power grid distributed network topology analytic function, based on electrical network physical model, reads electrical network real-time running state and carries out topological analysis, setting up electrical network computation model.
Preferably, described step (1) specifically comprises:
Step 1-1: increase power equipment newly for electrical network, uses distributed power grid model maintenance instrument to set up power equipment object;
Step 1-2: for power equipment object distributes the whole network unique ID code;
Step 1-3: automatically generate equipment standard title according to whole network equipment Uniform Name specification;
Step 1-4: for power equipment object distributes the whole network unique link node, final formation is applicable to the electrical network physical model of multi-stage scheduling integration Distributed Calculation.
Further, described step 1-2 comprises: carry out segmentation to electric network model device identification by Dispatching Control System belonging to equipment, be specially: 64 binary device marks are carried out segmentation, 0th ~ 23 bit-identifies are recorded in the serial number in Dispatching Control System belonging to equipment, Dispatching Control System belonging to 24 ~ 31 bit-identify equipment, 32 ~ 63 other information of bit-identify equipment.
Further, described step 1-3 comprises: according to GB " electrical network physical model describe and exchange specification " to electrical network, scheduling institution, generating plant, transformer station, circuit, electric pressure, interval, stand in the name of power equipment and electric grid secondary equipment carry out specification;
Distributed power grid model maintenance instrument is the information such as electrical network, equipment electric pressure and equipment basic designation belonging to the equipment of model maintenance personnel typing, automatically generate electric network model title according to " electrical network physical model describes and exchange specification ", realize the Uniform Name of electric network model in network-wide basis.
Further, described step 1-4 comprises: in network-wide basis, distribute equipment connection node unitedly: carry out segmentation to equipment connection node by Dispatching Control System belonging to node, concrete grammar is that 64 link nodes are carried out segmentation, the link node of 0th ~ 23 bit representation equipment in affiliated Dispatching Control System, Dispatching Control System belonging to 24 ~ 31 bit representation nodes, 32 ~ 63 is reserved place.
Preferably, described step (2) specifically comprises:
Step 2-1: distributed integrated electric network model is verified; According to the equipment connection node that step 1-4 is formed, the logicality of annexation between calibration equipment, whether the affiliated plant stand judging to have identical link node equipment and station, electric pressure be identical; If identical, then verification is passed through, if not identical, then verifies failure.
Step 2-2: electric network model enters library storage;
Determine dispatcher-controlled territory belonging to electric network model, by electric network model nearby stored in target distributed relational database during band;
Step 2-3: electric network model strange land redundancy is standby mutually;
In different Dispatching Control System, redundancy is carried out standby mutually according to the frequency of utilization of electric network model.
Further, described step 2-3 specifically comprises: carry out redundancy backup to newly-increased electric network model, and the distributed storage according to electric network model designs, and the minimum unit that definition electric network model stores is the description of a power equipment object; Electric network model stores nearby in the Dispatching Control System of affiliated dispatcher-controlled territory; Simultaneously according to model frequency of utilization, form back-up storage in adjacent grid dispatching center or dispatching center of the superior and the subordinate, backup coefficient is between 2 ~ 3;
Electric network model in this dispatching management scope is carried out back-up storage by each scheduling institution in back scheduling control system, the electric network model of the whole network scheduling institution back scheduling system, obtains electric network model Backup Data.
Preferably, described step (3) is enabled the electrical network physical model be verified and is comprised: be distributed to from distributed relational database the distributing real-time data bank that Dispatching Control System respectively applies.
Preferably, in described step (4), access electrical network physical model specifically comprises:
4-1 user or application program submit electrical network physical model request of access to model management center; Comprise model scope, model version, model access echo plex mode;
4-2 model management center, according to request, checks whether user or application program possess model access rights: if possess this authority, then request is forwarded to model storage center; If do not possess, then return to user or application program and do not possess model access rights message;
4-3 model storage center is according to associated control parameters, from distributed data base system, extract the electrical network physical model of respective range and version, according to input parameter electrical network physical model be back to distributing real-time data bank or return electrical network physical model mutual files CIM/E.
Preferably, in described step (4), access computation model specifically comprises:
4-4 user or application program submit electrical network physical model request of access to model management center; Solicited message comprises types of models, model scope, model version and model access echo plex mode; Wherein, described echo plex mode, comprises and returns distributing real-time data bank and return computation model mutual files QS;
4-5 testing model access rights: the realization of model management platform at model management center, according to request, checks whether user or application program possess model access rights, if possess, then request are forwarded to model storage center; If do not possess, then return to user or application program and do not possess model access rights message;
4-6 access computation model, judges the computation model version of request access; Described computation model, comprises the real-time computation model of request and history computation model.
Further, in described step 4-6, request of access is real-time
Computation model comprises:
A) obtain scope according to model, from distributing real-time data bank, access corresponding computation model;
B) according to return parameters, computation model is back to distributing real-time data bank or turns real-time database interface by QS file and return computation model mutual files QS;
Request of access history computation model comprises:
C) according to model access profile, from distributed file system, corresponding computation model mutual files QS is accessed;
D) according to return parameters, QS file is sent to user or turns real-time database interface by QS file and return distributing real-time data bank.
Compared with immediate prior art, the beneficial effect that the present invention reaches is:
Advanced IT technology is applied to electric system by the present invention, effectively improves electric network model sharing efficiency.
Adopt distributing real-time data bank and distributed file system to store real-time state and history state electric network model respectively, realize the whole network model Real-Time Sharing.Distributing real-time data bank is adopted to store real-time grid model, model modification local data bank can be inquired about at network-wide basis, has access to and be accessed, save the model splicing link that current intelligent scheduling control system adopts, improve electric network model sharing efficiency, effectively support electric system Distributed Calculation.
Bulk power grid distribution topology analytic function is integrated into model management center, for scale grid line analysis provides " computation model " basis.This patent calculates this feature based on " electrical network computation model " in conjunction with electric system on-line analysis, bulk power grid distribution topology analytic function is integrated into model management center, for scale grid line analytical applications provides " computation model " of real-time state and history state to serve.
Accompanying drawing explanation
Fig. 1 is that the electric network model being applicable to electric system Distributed Calculation shares flow process;
Fig. 2 is physical model access method process flow diagram;
Fig. 3 is computation model access method process flow diagram;
Fig. 4 is the 0-31 position device identification schematic diagram of synchronous dispatching system;
Fig. 5 is the 24-31 position device identification schematic diagram of synchronous dispatching system;
Fig. 6 is interconnection model maintenance process flow diagram between electrical network at the same level.
Embodiment
Below with reference to accompanying drawing, the specific embodiment of the present invention is described in further detail.
Under scale grid line distributed computing model, dispatching center at different levels retains existing model maintenance responsibility and maintenance span, carry out distributed maintenance to the electric network model within the scope of scheduling jurisdiction, model maintenance flow process mainly comprises model profile formula editor, model checking, model warehouse-in, model enables and model backup etc.As shown in Figure 1,
The electric network model being applicable to electric system Distributed Calculation shares a method, and described method comprises:
(1) distributed power grid model maintenance instrument is provided, this tool needle is to transformation in electrical network or newly-increased power equipment, set up electric network model device object, network-wide basis unified distribution device id, unification carry out equipment name, and unified distribution equipment connection node, build the electrical network physical model being applicable to multi-stage scheduling integration Distributed Calculation;
Specifically comprise: step 1-1: increase power equipment newly for electrical network, use distributed power grid model maintenance instrument to set up power equipment object;
Step 1-2: for power equipment object distributes the whole network unique ID code; Be specially: by Dispatching Control System belonging to equipment, segmentation is carried out to electric network model device identification, be specially: 64 binary device marks are carried out segmentation, 0th ~ 23 bit-identifies are recorded in the serial number in Dispatching Control System belonging to equipment, Dispatching Control System belonging to 24 ~ 31 bit-identify equipment, 32 ~ 63 other information of bit-identify equipment, as device type etc.Device identification is unique at network-wide basis to utilize the method to ensure, is convenient to electric network model synchronous between each Dispatching Control System.
Original equipment segment identification in the device identification of 64 binary representations, 0 to 31: represent record serial number, as shown in Figure 4.
In the realization of equipment segment identification, segmentation is carried out to the device identification of original LONG (long), in the device identification of 64 binary representations, utilize 24-31 position to carry out dispatching system belonging to indication equipment, as shown in Figure 5.Specific as follows: 0 to 23: to represent record serial number, dispatching system belonging to 24 to 31 bit representation records; Such as, 000001 represents that this equipment belongs to dispatching system; A, 000010 represents that this equipment belongs to dispatching system; B, 000011 represents that this equipment belongs to dispatching system; C, 000100 represents that this equipment belongs to dispatching system D.32 to 63: represent that the original equipment segment identification implication of maintenance is constant.
After adopting model object area segmentation, without the need to carrying out unified cross-system model maintenance work, the electric network model that each dispatching system independent maintenance is administered separately, be then synchronized in other system; The mode adopting unique identification and physics consistance to store, does not need the flow processs such as extra splicing conversion, does not need manual intervention, can realize electric network model synchronous in system-wide automatic immediate.This mode not only meets the common model maintenance form of dispatching system, and supports the concurrent operations of each system, and model maintenance efficiency is high.
Step 1-3: automatically generate equipment standard title according to whole network equipment Uniform Name specification; Be specially: according to GB " electrical network physical model describe and exchange specification " to electrical network, scheduling institution, generating plant, transformer station, circuit, electric pressure, interval, stand in the name of power equipment and electric grid secondary equipment carry out specification;
Distributed power grid model maintenance instrument is the information such as electrical network, equipment electric pressure and equipment basic designation belonging to the equipment of model maintenance personnel typing, automatically generate electric network model title according to " electrical network physical model describes and exchange specification ", realize the Uniform Name of electric network model in network-wide basis.
Step 1-4: for power equipment object distributes the whole network unique link node, final formation is applicable to the electrical network physical model of multi-stage scheduling integration Distributed Calculation.Be specially: in network-wide basis, distribute equipment connection node unitedly: by Dispatching Control System belonging to node, segmentation is carried out to equipment connection node, concrete grammar is that 64 link nodes are carried out segmentation, the link node of 0th ~ 23 bit representation equipment in affiliated Dispatching Control System, Dispatching Control System belonging to 24 ~ 31 bit representation nodes, 32 ~ 63 is reserved place.Equipment connection node is unique at network-wide basis to utilize the method to ensure, is convenient to electric network model synchronous between each Dispatching Control System.
Normal conditions, be connected by interconnection at boundary node between electrical network at the same level, between the superior and the subordinate's dispatching of power netwoks, boundary node is arranged on high voltage side of transformer or mesolow side.The Electrical power system analysis and computing of boundary node electric network model to interconnection two ends or transformer not homonymy scheduling institution is all significant, and the model maintenance of this patent introduction comprises boundary node power grid model maintenance method.As shown in Figure 6: be modeled as example with interconnection between electrical network boundary node at the same level and illustrate, step is as follows:
Step 1: newly-increased interconnection between regional power grid, belonging to equipment, scheduling institution starts interconnection local terminal (hereinafter referred to as A end) model editing, modeling, recording device electric parameter are carried out to interconnection, distributes link node to border plant stand to newly added equipment;
Step 2: start partial model verification, by after enter database, held by A electric network model to submit model management center to, submit interconnection opposite end (hereinafter referred to as B end) model editing request to model management center to simultaneously.
Step 3: model management center holds dispatching center to send model editing instruction to B, B holds scheduling institution to receive model editing instruction, Boot Model editor, distributes link node and partial model verification, by after return model management center B and hold electric network model.
Step 4: model management center notice side a and b scheduling institution model editing completes, enables model by side a and b scheduling institution.
Step 5:A end and B hold scheduling institution to back up newly-increased electric network model.
In like manner, between the superior and the subordinate's scheduling institution, boundary node model maintenance flow process is identical with boundary node model maintenance flow process between electrical network at the same level.
(2) local and overall situation verification are carried out successively to distributed integrated electric network model; And carry out distributed storage and redundancy backup by verifying the electric network model passed through; For ensureing the data security of electric network model, redundancy backup is carried out to newly-increased electric network model.Distributed storage according to the whole network model designs, and the minimum unit that electric network model stores is the description of a power equipment object, as an isolating switch, bus, circuit, circuit end points, transformer, a Transformer Winding etc.Electric network model stores nearby in affiliated dispatching center, meanwhile, according to model frequency of utilization, back-up storage is formed in adjacent grid dispatching center or dispatching center of the superior and the subordinate, backup coefficient, between 2 ~ 3, can ensure the reliability that data store, be unlikely to again to take too much IT resource.
In addition, for meeting the model requirements that back scheduling control system analysis calculates, electric network model in this dispatching management scope is carried out back-up storage by each scheduling institution in back scheduling system, and the electric network model of the whole network scheduling institution back scheduling system forms a complete electric network model backup.
Step 2-1: distributed integrated electric network model is verified; According to the equipment connection node that step 1-4 is formed, the logicality of annexation between calibration equipment, whether the affiliated plant stand judging to have identical link node equipment and station, electric pressure be identical; If identical, then verification is passed through, if not identical, then verifies failure.
Step 2-2: electric network model enters library storage;
Determine dispatcher-controlled territory belonging to electric network model, by electric network model nearby stored in target distributed relational database during band;
Step 2-3: electric network model strange land redundancy is standby mutually; In different Dispatching Control System, redundancy is carried out standby mutually according to the frequency of utilization of electric network model.In different Dispatching Control System, carry out redundancy according to the frequency of utilization of electric network model standby mutually, improve model data safety.Be specially: carry out redundancy backup to newly-increased electric network model, the distributed storage according to electric network model designs, and the minimum unit that definition electric network model stores is the description of a power equipment object; Electric network model stores nearby in the Dispatching Control System of affiliated dispatcher-controlled territory; Simultaneously according to model frequency of utilization, form back-up storage in adjacent grid dispatching center or dispatching center of the superior and the subordinate, backup coefficient is between 2 ~ 3;
Electric network model in this dispatching management scope is carried out back-up storage by each scheduling institution in back scheduling control system, the electric network model of the whole network scheduling institution back scheduling system, obtains electric network model Backup Data.
(3) the electrical network physical model be verified is enabled; The distributing real-time data bank that Dispatching Control System respectively applies is distributed to from distributed relational database.
(4) bulk power grid distributed network topology analytic function and distributions assessment function are integrated into model management center, according to the different demands of application, access electrical network physical model and computation model; Wherein, described bulk power grid distributed network topology analytic function, based on electrical network physical model, reads electrical network real-time running state and carries out topological analysis, setting up electrical network computation model.
In step (4), as shown in Figure 2, access electrical network physical model specifically to comprise:
4-1 user or application program submit electrical network physical model request of access to model management center; Comprise model scope, model version, model access echo plex mode;
4-2 model management center, according to request, checks whether user or application program possess model access rights: if possess this authority, then request is forwarded to model storage center; If do not possess, then return to user or application program and do not possess model access rights message;
4-3 model storage center is according to associated control parameters, from distributed data base system, extract the electrical network physical model of respective range and version, according to input parameter electrical network physical model be back to distributing real-time data bank or return electrical network physical model mutual files CIM/E.
As shown in Figure 3, access computation model specifically comprises:
4-4 user or application program submit electrical network physical model request of access to model management center; Solicited message comprises types of models, model scope, model version and model access echo plex mode; Wherein, described echo plex mode, comprises and returns distributing real-time data bank and return computation model mutual files QS;
4-5 testing model access rights: the realization of model management platform at model management center, according to request, checks whether user or application program possess model access rights, if possess, then request are forwarded to model storage center; If do not possess, then return to user or application program and do not possess model access rights message;
4-6 access computation model, judges the computation model version of request access; Described computation model, comprises the real-time computation model of request and history computation model.
The each functional module of on-line analysis with electrical network computation model for calculating basis, to this, bulk power grid distributed network topology analytic function and distributions assessment function are integrated into model center, provide abundant, reliable computation model service towards scale grid line Distributed Calculation.
The whole network state estimation adopts bulk power grid wide-area distribution type computation schema, each dispatching center is estimated organic combination based on the distributions in dispatching management scope, realize the whole network integration state estimation, mediation state of state adjusts branch center not carry out separately centralized the whole network state estimation.Owing to making full use of the computational resource of scheduling at different levels, the whole network integration state estimation calculation task effectively decomposes, and can shorten the whole network state estimation performance period, improves the ageing of on-line analysis application ground state running mode data and computation model.
Other softwares of on-line analysis, according to calculation task demand, obtain the physical model in respective range or computation model, and Data of State Estimation corresponding with it, adopt reasonable computation scale, improve analytical calculation efficiency.As provincial electric power company scheduled overhaul 220kV non-area interconnection, utilize Dispatcher Power Flow to calculate power failure power flow transfer and distribution situation, analysis power grid security, user only need extract computation model within the scope of provincial electric power company's scheduling and Data of State Estimation can meet Load flow calculation needs.
Extract service class seemingly with physical model, computation model extracts the order parameters such as service support user seletion calculation model scope, model time and model echo plex mode.Wherein computation model echo plex mode comprises and returns distributing real-time data bank and return computation model mutual files QS two kinds of modes.
In step 4-6, the real-time computation model of request of access comprises:
A) obtain scope according to model, from distributing real-time data bank, access corresponding computation model;
B) according to return parameters, computation model is back to distributing real-time data bank or turns real-time database interface by QS file and return computation model mutual files QS;
Request of access history computation model comprises:
C) according to model access profile, from distributed file system, corresponding computation model mutual files QS is accessed;
D) according to return parameters, QS file is sent to user or turns real-time database interface by QS file and return distributing real-time data bank 32 ~ 63 for reserved place.Equipment connection node is unique at network-wide basis to utilize the method to ensure, is convenient to electric network model synchronous between each Dispatching Control System.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; those of ordinary skill in the field still can modify to the specific embodiment of the present invention with reference to above-described embodiment or equivalent replacement; these do not depart from any amendment of spirit and scope of the invention or equivalent replacement, are all applying within the claims of the present invention awaited the reply.
Claims (11)
1. the electric network model being applicable to electric system Distributed Calculation shares a method, it is characterized in that, described method comprises:
(1) the electrical network physical model being applicable to multi-stage scheduling integration Distributed Calculation is built;
(2) local and overall situation verification are carried out successively to distributed integrated electric network model; And carry out distributed storage and redundancy backup by verifying the electric network model passed through;
(3) the electrical network physical model be verified is enabled;
(4) bulk power grid distributed network topology analytic function and distributions assessment function are integrated into model management center, according to the different demands of application, access electrical network physical model and computation model; Wherein, described bulk power grid distributed network topology analytic function, based on electrical network physical model, reads electrical network real-time running state and carries out topological analysis, setting up electrical network computation model.
2. method according to claim 1, is characterized in that, described step (1) specifically comprises:
Step 1-1: increase power equipment newly for electrical network, uses distributed power grid model maintenance instrument to set up power equipment object;
Step 1-2: for power equipment object distributes the whole network unique ID code;
Step 1-3: automatically generate equipment standard title according to whole network equipment Uniform Name specification;
Step 1-4: for power equipment object distributes the whole network unique link node, final formation is applicable to the electrical network physical model of multi-stage scheduling integration Distributed Calculation.
3. method according to claim 2, it is characterized in that, described step 1-2 comprises: carry out segmentation to electric network model device identification by Dispatching Control System belonging to equipment, be specially: 64 binary device marks are carried out segmentation, 0th ~ 23 bit-identifies are recorded in the serial number in Dispatching Control System belonging to equipment, Dispatching Control System belonging to 24 ~ 31 bit-identify equipment, 32 ~ 63 other information of bit-identify equipment.
4. method according to claim 2, it is characterized in that, described step 1-3 comprises: according to GB " electrical network physical model describe and exchange specification " to electrical network, scheduling institution, generating plant, transformer station, circuit, electric pressure, interval, stand in the name of power equipment and electric grid secondary equipment carry out specification;
Distributed power grid model maintenance instrument is the information such as electrical network, equipment electric pressure and equipment basic designation belonging to the equipment of model maintenance personnel typing, automatically generate electric network model title according to " electrical network physical model describes and exchange specification ", realize the Uniform Name of electric network model in network-wide basis.
5. method according to claim 2, it is characterized in that, described step 1-4 comprises: in network-wide basis, distribute equipment connection node unitedly: carry out segmentation to equipment connection node by Dispatching Control System belonging to node, concrete grammar is that 64 link nodes are carried out segmentation, the link node of 0th ~ 23 bit representation equipment in affiliated Dispatching Control System, Dispatching Control System belonging to 24 ~ 31 bit representation nodes, 32 ~ 63 is reserved place.
6. method according to claim 1, is characterized in that, described step (2) specifically comprises:
Step 2-1: distributed integrated electric network model is verified; According to the equipment connection node that step 1-4 is formed, the logicality of annexation between calibration equipment, whether the affiliated plant stand judging to have identical link node equipment and station, electric pressure be identical; If identical, then verification is passed through, if not identical, then verifies failure.
Step 2-2: electric network model enters library storage;
Determine dispatcher-controlled territory belonging to electric network model, by electric network model nearby stored in target distributed relational database during band;
Step 2-3: electric network model strange land redundancy is standby mutually;
In different Dispatching Control System, redundancy is carried out standby mutually according to the frequency of utilization of electric network model.
7. method according to claim 6, it is characterized in that, described step 2-3 specifically comprises: carry out redundancy backup to newly-increased electric network model, and the distributed storage according to electric network model designs, and the minimum unit that definition electric network model stores is the description of a power equipment object; Electric network model stores nearby in the Dispatching Control System of affiliated dispatcher-controlled territory; Simultaneously according to model frequency of utilization, form back-up storage in adjacent grid dispatching center or dispatching center of the superior and the subordinate, backup coefficient is between 2 ~ 3;
Electric network model in this dispatching management scope is carried out back-up storage by each scheduling institution in back scheduling control system, the electric network model of the whole network scheduling institution back scheduling system, obtains electric network model Backup Data.
8. method according to claim 1, is characterized in that, described step (3) is enabled the electrical network physical model be verified and comprised: be distributed to from distributed relational database the distributing real-time data bank that Dispatching Control System respectively applies.
9. method according to claim 1, is characterized in that, in described step (4), access electrical network physical model specifically comprises:
4-1 user or application program submit electrical network physical model request of access to model management center; Comprise model scope, model version, model access echo plex mode;
4-2 model management center, according to request, checks whether user or application program possess model access rights: if possess this authority, then request is forwarded to model storage center; If do not possess, then return to user or application program and do not possess model access rights message;
4-3 model storage center is according to associated control parameters, from distributed data base system, extract the electrical network physical model of respective range and version, according to input parameter electrical network physical model be back to distributing real-time data bank or return electrical network physical model mutual files CIM/E.
10. method according to claim 1, is characterized in that, in described step (4), access computation model specifically comprises:
4-4 user or application program submit electrical network physical model request of access to model management center; Solicited message comprises types of models, model scope, model version and model access echo plex mode; Wherein, described echo plex mode, comprises and returns distributing real-time data bank and return computation model mutual files QS;
4-5 testing model access rights: the realization of model management platform at model management center, according to request, checks whether user or application program possess model access rights, if possess, then request are forwarded to model storage center; If do not possess, then return to user or application program and do not possess model access rights message;
4-6 access computation model, judges the computation model version of request access; Described computation model, comprises the real-time computation model of request and history computation model.
11. methods according to claim 10, is characterized in that, in described step 4-6, the real-time computation model of request of access comprises:
A) obtain scope according to model, from distributing real-time data bank, access corresponding computation model;
B) according to return parameters, computation model is back to distributing real-time data bank or turns real-time database interface by QS file and return computation model mutual files QS;
Request of access history computation model comprises:
C) according to model access profile, from distributed file system, corresponding computation model mutual files QS is accessed;
D) according to return parameters, QS file is sent to user or turns real-time database interface by QS file and return distributing real-time data bank.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510906219.2A CN105447175A (en) | 2015-12-09 | 2015-12-09 | Power grid model sharing method applicable to distributed computation of power system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510906219.2A CN105447175A (en) | 2015-12-09 | 2015-12-09 | Power grid model sharing method applicable to distributed computation of power system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105447175A true CN105447175A (en) | 2016-03-30 |
Family
ID=55557351
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510906219.2A Pending CN105447175A (en) | 2015-12-09 | 2015-12-09 | Power grid model sharing method applicable to distributed computation of power system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105447175A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106067071A (en) * | 2016-05-27 | 2016-11-02 | 国网陕西省电力公司经济技术研究院 | A kind of multi-state Model management method based on segment encoding |
| CN107229525A (en) * | 2017-04-27 | 2017-10-03 | 国电南瑞科技股份有限公司 | A kind of power system device model keyword generation method based on Zookeeper |
| CN107658879A (en) * | 2017-10-26 | 2018-02-02 | 南方电网科学研究院有限责任公司 | A kind of Safety Analysis System of power system |
| WO2018053947A1 (en) * | 2016-09-22 | 2018-03-29 | 国电南瑞科技股份有限公司 | Peer-to-peer mutual backup method suitable for multi-region integrated control of power grid |
| CN108334572A (en) * | 2018-01-19 | 2018-07-27 | 全球能源互联网研究院有限公司 | A kind of power network topology analysis automotive engine system and method based on chart database |
| CN109840645A (en) * | 2017-11-27 | 2019-06-04 | 中国电力科学研究院有限公司 | A kind of the whole network real-time model sharing method and system towards multi-stage scheduling |
| CN113191733A (en) * | 2021-04-30 | 2021-07-30 | 金坤建设集团有限公司 | Project multi-party collaborative management system and method based on Internet |
| CN114374701A (en) * | 2021-12-06 | 2022-04-19 | 福建亿榕信息技术有限公司 | Transparent sharing device of multistage linkage artificial intelligence platform sample model |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102324784A (en) * | 2011-06-09 | 2012-01-18 | 山东电力集团公司 | Power grid model splicing method based on unified coding |
| CN102915337A (en) * | 2012-09-18 | 2013-02-06 | 中国电力科学研究院 | Variation quantity mode-based hierarchical management method for fine multistage power grid model |
| CN103577938A (en) * | 2013-11-15 | 2014-02-12 | 国家电网公司 | Power grid dispatching automation main-and-standby system model synchronizing method and synchronizing system thereof |
| CN103607466A (en) * | 2013-11-27 | 2014-02-26 | 国家电网公司 | Wide-area multi-stage distributed parallel grid analysis method based on cloud computing |
| CN104123443A (en) * | 2014-07-09 | 2014-10-29 | 国家电网公司 | General and quick access method for power distribution network operating data and power distribution data of electric system |
| CN104156835A (en) * | 2014-09-04 | 2014-11-19 | 国家电网公司 | Wide-area distributed integrated topology analysis method for large power grid |
| US8903559B2 (en) * | 2011-04-01 | 2014-12-02 | International Business Machines Corporation | Energy grid device commissioning |
| CN104636084A (en) * | 2015-01-21 | 2015-05-20 | 广东电网有限责任公司电力科学研究院 | Device and method for carrying out reasonable and efficient distributive storage on big power data |
-
2015
- 2015-12-09 CN CN201510906219.2A patent/CN105447175A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8903559B2 (en) * | 2011-04-01 | 2014-12-02 | International Business Machines Corporation | Energy grid device commissioning |
| CN102324784A (en) * | 2011-06-09 | 2012-01-18 | 山东电力集团公司 | Power grid model splicing method based on unified coding |
| CN102915337A (en) * | 2012-09-18 | 2013-02-06 | 中国电力科学研究院 | Variation quantity mode-based hierarchical management method for fine multistage power grid model |
| CN103577938A (en) * | 2013-11-15 | 2014-02-12 | 国家电网公司 | Power grid dispatching automation main-and-standby system model synchronizing method and synchronizing system thereof |
| CN103607466A (en) * | 2013-11-27 | 2014-02-26 | 国家电网公司 | Wide-area multi-stage distributed parallel grid analysis method based on cloud computing |
| CN104123443A (en) * | 2014-07-09 | 2014-10-29 | 国家电网公司 | General and quick access method for power distribution network operating data and power distribution data of electric system |
| CN104156835A (en) * | 2014-09-04 | 2014-11-19 | 国家电网公司 | Wide-area distributed integrated topology analysis method for large power grid |
| CN104636084A (en) * | 2015-01-21 | 2015-05-20 | 广东电网有限责任公司电力科学研究院 | Device and method for carrying out reasonable and efficient distributive storage on big power data |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106067071A (en) * | 2016-05-27 | 2016-11-02 | 国网陕西省电力公司经济技术研究院 | A kind of multi-state Model management method based on segment encoding |
| CN106067071B (en) * | 2016-05-27 | 2020-01-10 | 国网陕西省电力公司经济技术研究院 | Multi-state model management method based on segmented coding |
| WO2018053947A1 (en) * | 2016-09-22 | 2018-03-29 | 国电南瑞科技股份有限公司 | Peer-to-peer mutual backup method suitable for multi-region integrated control of power grid |
| CN107229525A (en) * | 2017-04-27 | 2017-10-03 | 国电南瑞科技股份有限公司 | A kind of power system device model keyword generation method based on Zookeeper |
| CN107658879A (en) * | 2017-10-26 | 2018-02-02 | 南方电网科学研究院有限责任公司 | A kind of Safety Analysis System of power system |
| CN109840645A (en) * | 2017-11-27 | 2019-06-04 | 中国电力科学研究院有限公司 | A kind of the whole network real-time model sharing method and system towards multi-stage scheduling |
| CN108334572A (en) * | 2018-01-19 | 2018-07-27 | 全球能源互联网研究院有限公司 | A kind of power network topology analysis automotive engine system and method based on chart database |
| WO2019140878A1 (en) * | 2018-01-19 | 2019-07-25 | 全球能源互联网研究院有限公司 | Graph database-based electric grid topology analysis engine system and method |
| CN113191733A (en) * | 2021-04-30 | 2021-07-30 | 金坤建设集团有限公司 | Project multi-party collaborative management system and method based on Internet |
| CN114374701A (en) * | 2021-12-06 | 2022-04-19 | 福建亿榕信息技术有限公司 | Transparent sharing device of multistage linkage artificial intelligence platform sample model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105447175A (en) | Power grid model sharing method applicable to distributed computation of power system | |
| CN102521398B (en) | Modeling method for substation-dispatching center two-level distributed type power grid | |
| CN105095600B (en) | A kind of intelligent substation and regulation and control center cooperative modeling method | |
| Yao et al. | Scenario-based comprehensive expansion planning for distribution systems considering integration of plug-in electric vehicles | |
| CN102722764B (en) | Integration network optimization computer-aided decision support System | |
| CN102983629B (en) | Auxiliary decision-making method for on-line power system restoration | |
| CN106203890B (en) | Battalion's auxiliary tone integration data modeling method based on CIM | |
| CN105787089A (en) | Power distribution network scheduling foundation data integrating method | |
| CN112260331B (en) | Extra-high voltage alternating current-direct current power grid simulation platform and construction method | |
| CN109284346A (en) | A kind of distribution network planning method and device based on cloud computing | |
| CN108879667B (en) | Power grid closed-loop control power flow simulation method | |
| CN103295163A (en) | Chart-model integrated transformer substation and dispatch master station cooperation modeling method | |
| CN102567603A (en) | Method for automatically generating BPA calculation file based on actual measurement topology and measured data | |
| CN105260810B (en) | A kind of distribution back scheduling control system building method based on major network scheduling system | |
| CN104156835A (en) | Wide-area distributed integrated topology analysis method for large power grid | |
| CN107463732A (en) | A kind of multiterminal alternating current-direct current active distribution network scheduling controlling analogue system and method | |
| CN103093391A (en) | City power distribution network arranging method | |
| CN104463465A (en) | Real-time monitoring cluster processing method based on distributed models | |
| CN109978295A (en) | A kind of lean decision system of data-driven power distribution network | |
| CN111738498A (en) | Comprehensive energy system robust planning method and system | |
| CN107067161B (en) | Automatic checking implementation system and method for information point table in smart power grid | |
| CN105704184A (en) | Power grid organization analysis system based on level framework and analysis method | |
| CN116628937A (en) | Automatic fusion maintenance method, device, equipment and medium for power grid equipment model | |
| CN109962529B (en) | On-line monitoring and operation and maintenance device of electrical secondary equipment | |
| CN103488726A (en) | Method for establishing unified grid data platform based on WEB-SERVICE |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160330 |