Distributed data collection partitioning mutual backup method for power dispatching automation system

Abstract

The invention relates to a distributed data collection partitioning mutual backup method for a power dispatching automation system, which comprises the following steps of: (1) partitioning a data acquisition part in a wide area range in a power dispatching automation system, wherein each data acquisition area transmits the data of the local area to other data acquisition areas by a dispatching data network when processing a data acquisition task in the local area; (2) during normal running, only processing and transmitting the data of the local area to an SCADA (Supervisory Control And Data Acquisition) application by each data acquisition area and using the data transmitted from other areas just as heat backup processing without transmitting the data to the SCADA application; and (3) when the data collection area is sectionalized from other areas, if transmitted communication is normal, converting the transmitted communication from a backup state into an on-duty state, and after the transmitted data is processed, transmitting the data to the SCADA application, thereby ensuring the integrity of real-time data of all independent running parts after the system is sectionalized.

Description

technical field [0001] The invention relates to an operation method for data acquisition of an electric power dispatching automation system, which is used for improving the reliability and integrity of distributed data acquisition, and belongs to the technical field of electric power dispatching automation. Background technique [0002] 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 of each other. 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 integration of cross-regional systems and the increasing requirements for off-site disaster recovery, If the traditional centralized data collection method is still used, mu...

AI Technical Summary

Problems solved by technology

[0003] 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 data collection and monitoring control system functions

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