CN105447175A - Power grid model sharing method applicable to distributed computation of power system - Google Patents

Abstract

A grid model sharing method suitable for distributed computing of power systems, including building a grid physical model suitable for multi-level dispatching integrated distributed computing; sequentially performing local and global verification on the distributed integrated grid model; Distributed storage and redundant backup of the power grid model that has passed the verification; enable the physical model of the power grid that has passed the verification; integrate the distributed network topology analysis function and distributed state estimation function of the large power grid into the model management center, according to the different needs of the application, access Power grid physical model and calculation model; this method makes full use of the existing distributed deployment storage resources of dispatch centers at all levels, adopts distributed data deployment strategy to carry out physical distribution storage and logical centralized management of power grid physical model and calculation model, and builds a power grid model . Based on distributed database technology and distributed file system technology, the network-wide real-time sharing of the physical model and calculation model of the power grid is realized.

Description

A Grid Model Sharing Method Applicable to Power System Distributed Computing

technical field

The invention relates to a maintenance sharing method, in particular to an instant sharing method of a power grid model suitable for online distributed computing of a power system.

Background technique

With the construction of my country's UHV interconnected large power grid and the access of large-scale distributed power sources, in order to support the power system dispatching business, it is objectively required that the power grid modeling range of the large power grid dispatching control system is larger and the accuracy is higher. The voltage level of the power grid has been developed up to 1000kV UHV power grid, and down to the fine modeling of distributed power grid access, and the scale of the power grid is rapidly expanding. In order to meet the needs of large-scale interconnected grid cross-regional, cross-voltage level cooperative computing and ultra-large-scale power grid computing, the new generation of smart grid dispatching control system proposes an overall framework for distributed analysis and calculation of large power grids, and the power grid model is the basis of power system analysis and calculation. In this regard, it is necessary to develop a real-time sharing method of power grid models suitable for online distributed computing of large power grids, and provide a solution for the sharing of large power grid online distributed computing models under the multi-level collaborative dispatching mode.

In-depth research has been carried out in China on the sharing of model information across the network. The smart grid dispatching control system has promoted the integration and sharing of the basic information of the grid model. Among them, the promotion of standards based on the general grid model description specification CIM/E and the power system graphic description specification CIM/G has improved the control center to a certain extent. The degree of information sharing between models, graphics, etc.

Vertically, the CIM/E-based model splicing technology of the smart grid dispatching control system has achieved one-way sharing of 220kV and below grid models among national, sub-, and provincial commissioners, but the reverse sharing of 500kV and above grid models has yet to be completed. It has not been realized, and the support for online analysis and calculation of large power grids is still limited. In the sub-dispatching and provincial dispatching systems, there may be problems such as differential modeling of the same power grid object and repeated work. On the other hand, the existing power grid model is stored in a centralized database at all levels of dispatching centers, which cannot effectively support the overall architecture of online distributed computing for large power grid dispatching control of the new generation of smart grid.

Horizontally, the smart grid dispatch control system has realized the source end maintenance and cross-safety zone sharing functions of the grid model, ensuring the integrity, consistency and timeliness of the online grid model in each security zone within the dispatch center. However, the inconsistency between the online model and the offline model has not been solved, which leads to the inconsistency between the online analysis and offline analysis and calculation results.

To sum up, in order to respond to the needs of large-scale interconnected grid cross-regional, cross-voltage level collaborative computing and ultra-large-scale grid computing, in order to adapt to the overall architecture of large-scale online distributed computing proposed by the new generation of smart grid dispatching control system, a grid-oriented model is required. Propose new solutions to problems such as distributed maintenance, distributed storage, and instant sharing of the entire network.

Contents of the invention

In order to achieve the above purpose, the present invention provides a power grid model sharing method suitable for distributed computing of power systems, which uses distributed real-time database technology and distributed file systems to realize distributed maintenance of power grid models and instant sharing of the entire network, improving dispatching at all levels The timeliness of power grid model update provides a solution to the power grid model sharing problem of large power grid online distributed computing under the multi-level collaborative dispatching mode.

The object of the present invention is to adopt following technical scheme to realize:

A power grid model sharing method suitable for distributed computing of a power system, the method comprising:

(1) Construct a physical model of the power grid suitable for multi-level dispatching integrated distributed computing;

(2) Carry out local and global verification on the distributed integrated power grid model in turn; and perform distributed storage and redundant backup on the power grid model that has passed the verification;

(3) Enable the verified physical model of the power grid;

(4) Integrate the distributed network topology analysis function and distributed state estimation function of the large power grid into the model management center, and access the physical model and calculation model of the power grid according to different requirements of the application; wherein, the distributed network topology analysis function of the large power grid Based on the physical model of the power grid, read the real-time operating status of the power grid and perform topology analysis to establish a power grid calculation model.

Preferably, the step (1) specifically includes:

Step 1-1: For the newly added power equipment in the power grid, use the distributed power grid model maintenance tool to create power equipment objects;

Step 1-2: Assign a unique ID code for the entire network to the electric equipment object;

Step 1-3: Automatically generate a standard name for the device according to the unified naming specification for the entire network;

Steps 1-4: Assign the only connection node of the whole network to the power equipment object, and finally form a physical model of the power grid suitable for multi-level dispatching integrated distributed computing.

Further, the step 1-2 includes: segmenting the grid model equipment identifier according to the dispatching control system to which the equipment belongs, specifically: segmenting the 64-bit binary equipment identifier, and recording the 0-23rd identifier in the dispatching control system to which the equipment belongs. Sequence number in the control system, 24-31 bits identify the dispatching control system to which the equipment belongs, and 32-63 bits identify other information of the equipment.

Further, the steps 1-3 include: naming the power grid, dispatching organization, power plant, substation, line, voltage level, interval, power equipment in the station and secondary equipment of the power grid according to the national standard "Grid Physical Model Description and Exchange Specification" To regulate;

The distributed grid model maintenance tool automatically generates the standard name of the grid model according to the information of the grid to which the equipment belongs, the voltage level of the equipment, and the basic name of the equipment entered by the model maintenance personnel, according to the "Grid Physical Model Description and Exchange Specification", and realizes the power grid model in the whole network. Unified naming within.

Further, the steps 1-4 include: uniformly assigning device connection nodes within the entire network: segmenting the device connection nodes according to the dispatching control system to which the nodes belong, the specific method is to divide the 64-bit connection nodes In the segment, bits 0 to 23 indicate the connection node of the equipment in the dispatching control system to which it belongs, bits 24 to 31 indicate the dispatching control system to which the node belongs, and bits 32 to 63 are reserved bits.

Preferably, said step (2) specifically includes:

Step 2-1: Verify the distributed integrated power grid model; verify the logic of the connection relationship between devices based on the device connection nodes formed in steps 1-4, and judge the plant and station that have the same connection node devices and Whether the stations and voltage levels are the same; if they are the same, the verification is passed; if not, the verification fails.

Step 2-2: The power grid model is put into storage;

Determine the dispatching area to which the grid model belongs, and store the grid model in a distributed relational database with time scale nearby;

Step 2-3: Off-site redundancy and mutual backup of the grid model;

According to the frequency of use of the grid model, redundant mutual backup is carried out in different dispatching control systems.

Further, the steps 2-3 specifically include: performing redundant backup on the newly added power grid model, and defining the minimum storage unit of the power grid model as a description of a power equipment object according to the distributed storage design of the power grid model; The dispatching control system in the dispatching area is stored nearby; at the same time, according to the frequency of use of the model, a backup storage is formed in the adjacent power grid dispatching center or the upper and lower dispatching centers, and the backup factor is between 2 and 3;

Each dispatching organization backs up and stores the power grid model within the dispatching jurisdiction in the backup dispatching control system, and the whole network dispatching organization obtains the backup data of the power grid model from the grid model of the backup dispatching system.

Preferably, the step (3) enabling the verified physical model of the power grid includes: distributing from the distributed relational database to the distributed real-time database of each application of the dispatch control system.

Preferably, in the step (4), accessing the physical model of the grid specifically includes:

4-1 The user or application program submits a request for access to the physical model of the power grid to the model management center; including the model scope, model version, and model access return method;

4-2 The model management center checks whether the user or application has the model access permission according to the request: if it has the permission, it will submit the request to the model storage center; if not, it will return to the user or application that it does not have the model access permission information;

4-3 The model storage center extracts the corresponding scope and version of the grid physical model from the distributed database system according to the relevant control parameters, and returns the grid physical model to the distributed real-time database or returns the grid physical model interaction file CIM/E according to the input parameters .

Preferably, in the step (4), accessing the calculation model specifically includes:

4-4 The user or application program submits a request for accessing the physical model of the power grid to the model management center; the request information includes the model type, model scope, model version, and model access return method; wherein, the return method includes returning to the distributed real-time database and returning Calculation model interaction file QS;

4-5 Verify model access rights: The model management platform of the model management center checks whether the user or application has model access rights according to the request, and if yes, submits the request to the model storage center; if not, then sends the request to the user or application The program returns the message that it does not have access to the model;

4-6 Accessing the calculation model, judging the version of the calculation model requested for access; the calculation model includes the requested real-time calculation model and the historical calculation model.

Further, in the step 4-6, the access request is real-time

Computational models include:

a) According to the scope of model acquisition, access the corresponding calculation model from the distributed real-time database;

b) According to the return parameters, return the calculation model to the distributed real-time database or return the calculation model interaction file QS through the QS file to real-time library interface;

The access request historical calculation model includes:

c) Access the corresponding calculation model interaction file QS from the distributed file system according to the model access scope;

d) According to the returned parameters, send the QS file to the user or return the distributed real-time database through the QS file-to-real-time library interface.

Compared with the closest prior art, the beneficial effect that the present invention reaches is:

The invention applies the advanced IT technology to the power system, effectively improving the sharing efficiency of the grid model.

A distributed real-time database and a distributed file system are used to store real-time and historical power grid models respectively to realize real-time sharing of the whole network model. The distributed real-time database is used to store the real-time power grid model, and the model can be updated in the local database to query, read and access the entire network, eliminating the need for model splicing links used in the current intelligent dispatching control system, improving the sharing efficiency of the power grid model, and effectively supporting the power system. Distributed Computing.

Integrate the distributed topology analysis function of the large power grid into the model management center to provide a "calculation model" basis for the online analysis of the large power grid. This patent combines the characteristics that the online analysis and calculation of the power system is based on the "power grid calculation model", integrates the distributed topology analysis function of the large power grid into the model management center, and provides real-time and historical "computation models" for the online analysis and application of the large power grid "Serve.

Description of drawings

Figure 1 is a grid model sharing process suitable for distributed computing of power systems;

Fig. 2 is a flow chart of a physical model access method;

Fig. 3 is a flow chart of a calculation model access method;

Fig. 4 is a schematic diagram of 0-31 bit device identification of a synchronous scheduling system;

Fig. 5 is a schematic diagram of the 24-31 bit device identification of the synchronous scheduling system;

Figure 6 is a flow chart of maintenance of the tie line model between power grids at the same level.

detailed description

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

In the online distributed computing mode of the large power grid, the dispatch centers at all levels retain the existing model maintenance responsibilities and maintenance scope, and perform distributed maintenance on the power grid model within the dispatch jurisdiction. The model maintenance process mainly includes model distributed editing and model verification. , model storage, model activation and model backup, etc. As shown in Figure 1,

A power grid model sharing method suitable for distributed computing of a power system, the method comprising:

(1) Provide a distributed power grid model maintenance tool, which establishes power grid model equipment objects for the transformed or newly added power equipment in the power grid, uniformly allocates equipment IDs, uniformly names equipment, and uniformly allocates equipment connection nodes in the entire network , to build a physical model of the power grid suitable for multi-level dispatching integrated distributed computing;

Specifically include: Step 1-1: For new electric equipment in the grid, use the distributed grid model maintenance tool to establish the electric equipment object;

Step 1-2: Assign a unique ID code for the entire network to the power equipment object; specifically: segment the equipment identification of the power grid model according to the dispatching control system to which the equipment belongs, specifically: segment the 64-bit binary equipment identification, 0～ 23 bits identify the sequence number recorded in the dispatching control system to which the equipment belongs, 24 to 31 bits identify the dispatching control system to which the equipment belongs, and 32 to 63 bits identify other information of the equipment, such as equipment type, etc. Using this method can ensure that the equipment identification is unique in the whole network, and facilitate the synchronization of the power grid model among various dispatching control systems.

The original device segment identifier is in the device identifier expressed in 64-bit binary, 0 to 31 bits: indicates the record sequence number, as shown in Figure 4.

In the realization of equipment segmentation identification, the original LONG (long integer) equipment identification is segmented, and in the equipment identification of 64-bit binary representation, 24-31 bits are used to indicate the scheduling system to which the equipment belongs, as shown in Figure 5 shown. The details are as follows: Bits 0 to 23: indicate the sequence number of the record, bits 24 to 31 indicate the dispatching system to which the record belongs; for example, 000001 indicates that the device belongs to the dispatching system; A, 000010 indicates that the device belongs to the dispatching system; B, 000011 indicates that the device belongs to Dispatch system; C, 000100 indicates that the device belongs to dispatch system D. Bits 32 to 63: Indicates that the meaning of the original device segment identifier remains unchanged.

After the model object area is segmented, there is no need for unified cross-system model maintenance, and each dispatching system independently maintains the power grid model under its jurisdiction, and then synchronizes it to other systems; using unique identification and physical consistency storage, no need Additional processes such as splicing and conversion do not require manual intervention, and can realize automatic and real-time synchronization of the grid model in the whole system. This method not only conforms to the common model maintenance form of the scheduling system, but also supports concurrent operations of various systems, and the model maintenance efficiency is high.

Step 1-3: Automatically generate equipment standard names according to the uniform naming convention for equipment in the entire network; specifically: according to the national standard "Grid Physical Model Description and Exchange Specifications" for power grids, dispatching agencies, power plants, substations, lines, voltage levels, intervals, Standardize the naming of power equipment in the station and secondary equipment of the power grid;

The distributed grid model maintenance tool automatically generates the standard name of the grid model according to the information of the grid to which the equipment belongs, the voltage level of the equipment, and the basic name of the equipment entered by the model maintenance personnel, according to the "Grid Physical Model Description and Exchange Specification", and realizes the power grid model in the whole network. Unified naming within.

Steps 1-4: Assign the only connection node of the whole network to the power equipment object, and finally form a physical model of the power grid suitable for multi-level dispatching integrated distributed computing. Specifically: uniformly allocate equipment connection nodes within the entire network: segment equipment connection nodes according to the dispatching control system to which the nodes belong. The specific method is to segment 64-bit connection nodes, and bits 0 to 23 indicate For the connection node of the equipment in the dispatching control system to which it belongs, bits 24 to 31 represent the dispatching control system to which the node belongs, and bits 32 to 63 are reserved. Using this method can ensure that the equipment connection node is unique in the whole network, and facilitate the synchronization of the power grid model among various dispatching control systems.

Usually, the grids of the same level are connected through tie lines at the boundary nodes, and the boundary nodes between the dispatching of the upper and lower grids are set on the high voltage side or the medium and low voltage side of the transformer. The grid model of the boundary node is of great significance to the analysis and calculation of the power system at both ends of the tie line or the dispatching mechanism on different sides of the transformer. The model maintenance introduced in this patent includes the maintenance method of the grid model of the boundary node. As shown in Figure 6: Taking the modeling of tie lines between boundary nodes of the same level power grid as an example, the steps are as follows:

Step 1: To add a connection line between regional power grids, the dispatching agency to which the equipment belongs starts the model editing of the local end of the connection line (hereinafter referred to as the A end), models the connection line, enters the electrical parameters of the equipment, and adds equipment to the boundary plant Assign connection nodes;

Step 2: Start the local model verification, and submit the A-end power grid model to the model management center through post-entry database, and at the same time submit the model editing request of the connection line peer (hereinafter referred to as B-end) to the model management center.

Step 3: The model management center sends a model editing command to the B-side dispatching center, and the B-side dispatching agency receives the model editing command, starts model editing, assigns connection nodes and local model verification, and returns to the B-side power grid model of the model management center after passing.

Step 4: The model management center notifies the A-side and B-side scheduling agencies that the model editing has been completed, and the A-side and B-side scheduling agencies activate the model.

Step 5: The A-side and B-side dispatching agencies back up the newly added power grid model.

Similarly, the maintenance process of the boundary node model between the upper and lower dispatching agencies is the same as that of the boundary node model maintenance process between the power grids at the same level.

(2) Carry out local and global verification on the distributed integrated power grid model in turn; perform distributed storage and redundant backup on the power grid model that has passed the verification; in order to ensure the data security of the power grid model, redundant I backup. According to the distributed storage design of the whole network model, the smallest unit of grid model storage is the description of a power equipment object, such as a circuit breaker, a busbar, a line, a line end point, a transformer, a transformer winding, etc. The power grid model is stored in the nearby dispatching center. At the same time, according to the frequency of use of the model, a backup storage is formed in the adjacent power grid dispatching center or the upper and lower dispatching centers. The backup factor is between 2 and 3, which can not only ensure the reliability of data storage, but also Will not take up too much IT resources.

In addition, in order to meet the model requirements for the analysis and calculation of the backup dispatching control system, each dispatching agency stores the power grid model within the jurisdiction of the dispatching system in the backup dispatching system, and the grid model of the backup dispatching system of the whole network dispatching agency constitutes a complete grid model backup.

Step 2-1: Verify the distributed integrated power grid model; verify the logic of the connection relationship between devices based on the device connection nodes formed in steps 1-4, and judge the plant and station that have the same connection node devices and Whether the stations and voltage levels are the same; if they are the same, the verification is passed; if not, the verification fails.

Step 2-2: The power grid model is put into storage;

Determine the dispatching area to which the grid model belongs, and store the grid model in a distributed relational database with time scale nearby;

Step 2-3: Redundancy and mutual backup of the power grid model in different places; redundant mutual backup in different dispatching control systems according to the frequency of use of the grid model. According to the frequency of use of the power grid model, redundancy and mutual backup are carried out in different dispatching control systems to improve model data security. Specifically: redundant backup of the newly added grid model, according to the distributed storage design of the grid model, the smallest storage unit of the grid model is defined as a description of a power equipment object; the grid model is stored nearby in the dispatching control system of the dispatching area ;At the same time, according to the frequency of use of the model, a backup storage is formed in the adjacent power grid dispatching center or the upper and lower dispatching centers, and the backup factor is between 2 and 3;

Each dispatching organization backs up and stores the power grid model within the dispatching jurisdiction in the backup dispatching control system, and the whole network dispatching organization obtains the backup data of the power grid model from the grid model of the backup dispatching system.

(3) Enable the verified physical model of the power grid; distribute from the distributed relational database to the distributed real-time database of each application of the dispatch control system.

(4) Integrate the distributed network topology analysis function and distributed state estimation function of the large power grid into the model management center, and access the physical model and calculation model of the power grid according to different requirements of the application; wherein, the distributed network topology analysis function of the large power grid Based on the physical model of the power grid, read the real-time operating status of the power grid and perform topology analysis to establish a power grid calculation model.

In step (4), as shown in Figure 2, accessing the physical model of the power grid specifically includes:

4-1 The user or application program submits a request for access to the physical model of the power grid to the model management center; including the model scope, model version, and model access return method;

4-2 The model management center checks whether the user or application has the model access permission according to the request: if it has the permission, it will submit the request to the model storage center; if not, it will return to the user or application that it does not have the model access permission information;

4-3 The model storage center extracts the corresponding scope and version of the grid physical model from the distributed database system according to the relevant control parameters, and returns the grid physical model to the distributed real-time database or returns the grid physical model interaction file CIM/E according to the input parameters .

As shown in Figure 3, the access computing model specifically includes:

4-4 The user or application program submits a request for accessing the physical model of the power grid to the model management center; the request information includes the model type, model scope, model version, and model access return method; wherein, the return method includes returning to the distributed real-time database and returning Calculation model interaction file QS;

4-5 Verify model access rights: The model management platform of the model management center checks whether the user or application has model access rights according to the request, and if yes, submits the request to the model storage center; if not, then sends the request to the user or application The program returns a message that it does not have access to the model;

4-6 Accessing the calculation model, judging the version of the calculation model requested for access; the calculation model includes the requested real-time calculation model and the historical calculation model.

The online analysis of each functional module is based on the power grid computing model. For this, the distributed network topology analysis function and distributed state estimation function of the large power grid are integrated into the model center to provide a rich and reliable computing model for the online distributed computing of the large power grid. Serve.

The state estimation of the whole network adopts the wide-area distributed computing mode of the large power grid, organically integrates the distributed state estimation of each dispatching center based on the dispatching jurisdiction, and realizes the integrated state estimation of the whole network. Network state estimation. Due to the full use of computing resources at all levels of scheduling, the network-wide integrated state estimation calculation tasks are effectively decomposed, which can shorten the execution cycle of the network-wide state estimation, and improve the timeliness of online analysis and application of base state operating mode data and calculation models.

Online analysis of other software According to the requirements of calculation tasks, obtain physical models or calculation models within the corresponding range, as well as corresponding state estimation data, adopt reasonable calculation scale, and improve analysis and calculation efficiency. For example, the provincial power company plans to overhaul a 220kV non-regional connection line, and uses the power flow of the dispatcher to calculate the transfer and distribution of power outages and analyze the safety of the power grid. The user only needs to extract the calculation model and state estimation data within the dispatching range of the provincial power company to meet the power flow requirements. Computational needs.

Similar to the physical model extraction service, the calculation model extraction service supports users to select instruction parameters such as calculation model range, model time, and model return method. The computing model return methods include returning to the distributed real-time database and returning to the computing model interactive file QS.

In steps 4-6, the real-time calculation model of the access request includes:

a) According to the scope of model acquisition, access the corresponding calculation model from the distributed real-time database;

b) According to the return parameters, return the calculation model to the distributed real-time database or return the calculation model interaction file QS through the QS file to real-time library interface;

The access request historical calculation model includes:

c) According to the model access range, access the corresponding calculation model interaction file QS from the distributed file system;

d) According to the returned parameters, send the QS file to the user or return the distributed real-time database 32 to 63 through the QS file-to-real-time database interface as reserved places. Using this method can ensure that the equipment connection node is unique in the whole network, and facilitate the synchronization of the power grid model among various dispatching control systems.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Those of ordinary skill in the art can still modify or equivalently replace the specific implementation methods of the present invention with reference to the above embodiments. Any modifications or equivalent replacements departing from the spirit and scope of the present invention are within the protection scope of the claims of the pending application of the present invention.

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.