CN101976886A - Distributed data collection partitioning mutual backup method for power dispatching automation system - Google Patents

Abstract

The present invention relates to a method for mutual backup of distributed data collection partitions in an electric power dispatching automation system, comprising: (1) in the electric power dispatching automation system, the data collection part is set up in a wide area, and each data collection area is in While processing the data collection tasks in its own area, it also forwards the data in this area to other data collection areas through the dispatching data network; (2) During normal operation, each data collection area only processes the data in its own area and sends it to To the SCADA application, the data forwarded from other areas is only treated as hot standby, and not sent to the SCADA application; (3) When a data collection area is separated from other areas, if the forwarding communication is normal, the forwarding communication will be transferred from the standby The status is changed to the on-duty status, and these forwarded data are processed and then sent to the SCADA application, which ensures the integrity of the real-time data of each independent operating part after the system is disassembled.

Description

Distributed Data Acquisition Partition Mutual Backup Method for Power Dispatch Automation System

technical field

The invention relates to an operation method for data collection of an electric power dispatching automation system, which is used for improving the reliability and integrity of distributed data collection, and belongs to the technical field of electric power dispatching automation.

Background technique

The traditional data collection method of the scheduling automation system is that two or more front-end servers in the system are concentrated in one place, and each front-end server is in a standby state for each other, and each front-end server can Ability to handle all communication tasks. However, with the continuous development of the scale of the power grid and the increasing amount of information, the performance requirements of each front-end server are getting higher and higher, and with the increasing requirements for cross-regional system integration and remote disaster recovery and backup, If you still adopt the traditional centralized data collection method, you need to establish multiple sets of scheduling automation systems, and then use other methods to exchange and share data, which will greatly increase the difficulty of system maintenance for users, and the various functions of the system will also be difficult. It has been unable to fully meet the requirements. Distributed data acquisition technology solves these problems very well, but after the distributed system is disassembled, the problem of incomplete real-time data of each independent operation part will appear.

Contents of the invention

In order to solve the deficiencies in the distributed data collection methods of the existing dispatching automation system, the purpose of the present invention is to effectively solve the problem that each independent operating part of the distributed dispatching automation system cannot collect all real-time data when the system is decommissioned, so that each decoupling Part of it can collect all real-time data to ensure the normal operation of SCADA functions.

A method for mutual backup of distributed data acquisition partitions in an electric power dispatching automation system, characterized in that it includes the following steps:

(1) First, set multiple data acquisition areas in the database of the power dispatching automation system according to actual needs. Each data acquisition area is equipped with multiple data acquisition servers and multiple data acquisition communication devices. When multiple data acquisition resetters are running Mutual hot standby to ensure the reliability, completeness and efficiency of data collection and processing, and the data collection server is responsible for initializing each data collection communication device;

(2) According to the configuration in step (1), first read the information of the data collection area to which a certain data collection server belongs from the database of the power dispatching automation system, and then initialize the data collection communication corresponding to the data collection server according to the information of the data collection area equipment, establish a communication link between the initialized data acquisition communication equipment and the factory stations in the data collection area, process the real-time data of the measuring point information related to these factories, and then send these real-time data to SCADA, and at the same time send the other one or more data The collection area sends real-time data;

(3) When the entire power dispatching automation system is running in parallel normally, the real-time data sent from other data acquisition areas will be treated as backup and will not be sent to SCADA for further processing; The data acquisition area of the column will automatically change from the standby state to the on-duty state through the real-time data sent, and then send it to SCADA for reprocessing to ensure the integrity and real-time performance of the data in the de-listing area; After the column operation state returns to the parallel operation state, the real-time data forwarded from other data collection areas will automatically return to the standby state.

The above-mentioned different data collection areas forward real-time data to each other through the scheduling data network.

In the present invention, when the power dispatching automation system performs normal synchronous operation, the real-time data forwarded by a large number of other data collection areas is only used as a backup, so it will not cause any impact on the system itself, and will not increase too much. The load of the data collection server in the data collection area, and the data forwarded to other data collection areas can be easily added and deleted online, and the process of adding and deleting forwarded data will not have any impact on other forwarded data.

Therefore, the distributed data acquisition server in the electric power dispatching automation system described in the present invention can no longer only process the data in this data acquisition area, but can also process the data of other data acquisition areas in the case of decoupling. The present invention does not simply expand the distributed data collection area in the dispatching automation system, but adopts the method of forwarding real-time data through other networks (such as the dispatching data network) to make the data collection area of each power dispatching automation system All subsystems have the ability to collect all data, but without adding corresponding data collection communication equipment and data collection server, while saving investment, it also ensures the reliability and efficiency of data processing.

Main technical points of the present invention are:

(1) In the wide-area distributed power dispatching automation system, the data collection is set up in a wide area, and each data collection area handles the data collection tasks in its own area. The data is forwarded to other data collection areas through the dispatch data network;

(2) When the power dispatching automation system is running normally, each data acquisition area only processes the data in its own area and sends it to the SCADA application, and the data forwarded by other data acquisition areas are only processed as hot standby and not sent to the SCADA application ;

(3) When a data collection area is separated from other areas, if the forwarding communication is normal, the forwarding communication will be transferred from the standby state to the on-duty state, and the data collection area receiving the forwarded data will process the forwarded data and send it to the SCADA application , to ensure the integrity of the real-time data of each independent operation part after the system is disassembled.

The beneficial effects achieved by the present invention are: the user can build a distributed integrated system according to the distribution of the existing communication channel resources, and at the same time, in order to prevent the risk of decoupling of the distributed system, it is not necessary to increase investment to establish all the plants From the communication channel to each data collection partition, the existing communication resources are directly used to complete the mutual backup of the partitions, which is convenient for users' daily use and management, and also improves the disaster recovery capability of the system.

Description of drawings

Figure 1 is a schematic diagram of the distributed data acquisition partition mutual backup method of the electric power dispatching automation system;

Figure 2 is a schematic diagram of the distributed data acquisition and partition mutual backup method of the power dispatching automation system in the case of decoupling.

Detailed ways

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

Figure 1 is a schematic diagram of the distributed data acquisition partition mutual backup method of the power dispatching automation system; Figure 2 is a schematic diagram of the distributed data acquisition partition mutual backup method of the power dispatching automation system in the case of separation.

Firstly, in the database of the power dispatching automation system, multiple data acquisition areas are set according to actual needs, and each data acquisition area is equipped with multiple data acquisition servers and multiple data acquisition communication devices. equipment to ensure the reliability, completeness and efficiency of data collection and processing, and the data collection server is responsible for initializing each data collection communication device.

Then read in the information of the data acquisition area to which the pre-data acquisition server belongs from the database of the power dispatching automation system, and then initialize the data acquisition communication equipment to which the data acquisition area belongs according to the information in the data acquisition area, and communicate the data acquisition The equipment establishes a communication link with the stations in this data collection area. This data collection area only processes the information and commands related to these stations, and judges the various states of these stations, communications and stations in real time.

As shown in Figure 1, the two data acquisition servers A and B in the data acquisition area Ⅰ only process the two communication channels of the station A, and the two data acquisition servers A and B in the data acquisition area Ⅱ only process the two communication channels of the station B. The two data acquisition servers of A and B in the data acquisition area III only process the two communication channels of the C factory station. At the same time, the data acquisition servers in data acquisition areas I and III send the real-time data processed by factories A and C to the data acquisition server in data acquisition area II through the dispatch data network. At this time, the data acquisition areas I, II and Area III is in a parallel operation state, so only the real-time data of their respective plants are sent to the SCADA application, while the real-time data of plants A and C forwarded from the data acquisition areas I and III received by the data acquisition area II are only As a backup process, it is not sent to the SCADA application, and this process will not increase the load of the data acquisition server in the data acquisition area II.

When the power dispatching automation system is disconnected, as shown in Figure 2, the network of the data acquisition area I and the data acquisition area II and III is interrupted. It is impossible for the two areas of the district to have complete real-time data, but after adopting the partition mutual backup method, the data collection area Ⅱ is found to be separated from the data collection area Ⅰ, and the data collection area Ⅰ is automatically forwarded to Factory A through the dispatching data network The real-time data is transferred from the standby state to the on-duty state and sent to the SCADA application, thus ensuring the integrity of the real-time data in this area.

When the system recovers from the decoupling state to the parallel operation state, as shown in Figure 1, at this time, the data acquisition area II finds that it is running in parallel with the data acquisition area I, and automatically forwards the data from the data acquisition area I through the dispatching data network. The real-time data of the factory is transferred from the on-duty state to the standby state, and stop sending it to the SCADA application, and continue to send the real-time data of A factory to the SCADA application by the data acquisition area I.

We know that each data collection area processes the data collection tasks in its own area, and at the same time forwards the data in this area to other data collection areas through the scheduling data network. Therefore, the data forwarding method between the above data collection areas is just For example, the data collection area II and III can also forward the data to the data collection area I or other more areas, or the data collection area I and II can synchronously forward the data to the data collection area III and other areas. In the actual operation process, the data collection areas can forward data in any combination to ensure that when one of the data collection areas is separated, other data collection areas can get complete real-time data. In addition, in any data collection area, in order to ensure the reliability of data collection, multiple data collection servers are generally used. During normal operation, multiple data collection servers will exchange various required data with each other and monitor each other. The running status of the machines can jointly complete all data collection tasks in the data collection area. When any data collection server fails, the data collection tasks on it will be automatically assigned to the remaining machines, even if there is only one server left The front-end data collection server can also complete all data collection tasks and partition mutual backup tasks in the data collection area.

The above embodiments do not limit the present invention in any form, and all technical solutions obtained by means of equivalent replacement or equivalent transformation fall within the protection scope of the present invention.

Claims (2)

1. mutual Preparation Method of electric power scheduling automatization system distributed data acquisition subregion is characterized in that: may further comprise the steps:

(1) a plurality of data acquisitions zone at first is set according to actual needs in the database of electric power scheduling automatization system, each data acquisition zone is provided with a plurality of data acquisition servers and a plurality of data acquisition communication apparatus, a plurality of data acquisition restorers are hot each other being equipped with when operation, and data acquisition server is responsible for each data acquisition communication apparatus of initialization;

(2) according to the configuration of step (1), at first from the electric power scheduling automatization system database, read in the data acquisition area information under certain data acquisition server, corresponding according to this data acquisition area information initialization then data acquisition communication apparatus with this data acquisition server, communication link is set up at the factory station of initialized data acquisition communication apparatus and notebook data pickup area, handle these factory's relevant measuring point information real time datas in station, then these real time datas are sent to SCADA, send real time data to other one or more data acquisitions zones simultaneously;

(3) when whole electric power scheduling automatization system normally carries out paired running, be used as standby processing from the real time data that other data acquisition zones are brought, be not sent to SCADA and handle again; When the electric power scheduling automatization system off-the-line is moved, just become state on duty by stand-by state automatically from the data acquisition zone of off-the-line by the real time data that sends over, be sent to SCADA then and handle again; After the electric power scheduling automatization system system returned to the paired running state from the off-the-line running status, the real time data that forwards from other data acquisition zones can revert to stand-by state again automatically.

2. the mutual Preparation Method of electric power scheduling automatization system distributed data acquisition subregion according to claim 1 is characterized in that: transmit real time data mutually by the data dispatching net between the described different data acquisition zone.

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