Method and device for analyzing state of secondary equipment of substation based on big data

Abstract

The invention relates to a method and device for analyzing the state of secondary equipment of a substation based on big data. The method comprises the following steps: acquiring historical state dataof a plurality of groups of secondary equipment and abnormal state types corresponding to the historical state data from an equipment abnormal state record library; with a plurality of groups of historical state data and corresponding abnormal state types as a training set, establishing a deep learning model between the state data and the abnormal state types according to the training set to obtain a state analysis model; and acquiring real-time state data of the secondary equipment, and analyzing the real-time state of the secondary equipment by utilizing the state analysis model. The problem that the real-time state of the secondary equipment of the intelligent substation is difficult to obtain at present is solved.

Description

technical field [0001] The invention relates to the technical field of substation maintenance, in particular to a method, equipment and storage medium for analyzing the state of secondary equipment of a substation based on big data. Background technique [0002] With the large-scale operation of smart substations in recent years, its proportion in the entire power grid system is also increasing, which will also become a mainstream trend in the development of the future power grid system. In the smart substation, the digital communication transmission mode represented by Ethernet replaces the traditional hard-wired circuit. The main advantage of this mode is that all transmission signals can be exchanged and shared. [0003] At present, the smart substation under continuous development and construction has a three-layer two-network structure, which is composed of many secondary devices (such as intelligent terminals, merging units, relay protection devices, measurement and co...

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Problems solved by technology

[0003] At present, the smart substation under continuous development and construction has a three-layer two-network structure, which is composed of many secondary devices (such as intelligent terminals, merging units, relay protection devices, measurement and control devices, and wave recording devices). When a fault occurs, a large amount of fault simulation data, MMS messages, and GOOSE messages will be generated. On the other hand, the SCD file also contains a lot of useful configuration information. The large amount of data brings great difficulties to the state analysis of the protection function of the protection device.

[0004] At present, most tasks such as normal operation, accident judgment and handling of secondary equipment in smart substations are still completed by inspection personnel. For the numerous SV, GOOSE, MMS alarm signals, wave recording files and other information in smart substations, as well as more and more complex equipment and network structures, inspection personnel rely on experience and manual search data to analyze and judge the abnormal behavior of secondary equipment , it is difficult to obtain accurate fault judgment and analysis results of abnormal behavior of secondary equipment

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