Electric power multi-source information fault positioning and pre-judging method

Abstract

The invention discloses an electric power multi-source information fault positioning and pre-judging method. The electric power multi-source information fault positioning and pre-judging method comprises the steps of: 1, generating a complex event model in a format required by complex event processing engine analysis; 2, summarizing expert experiences as a complex event form, and inputting regulation and control problems to generate a complex event rule matching model; 3, determining whether to start an offline self-learning thread; 4, outputting reliable events; 5, establishing a Petri inference rule association model; 6, reading the Petri inference rule association model in a Petri inference thread, and monitoring complex event sets in real time; 7, and triggering a fault recovery and processing thread, directly calling a disposal plan or finding all possible power supply recovery paths, and providing a scheme. The electric power multi-source information fault positioning and pre-judging method ensures the rapid aggregation and accuracy of electric power complex events, mitigates the combinatorial explosion problem of Petri fault inference, processing item omitted reporting caused by identification protection, switch rejection action and maloperation as well as communication problem by means of a CEP engine, simplifies the complexity of the Petri inference process, and positions the faulty equipment quickly by means of the Petri inference rules and diagnostic models.

Description

technical field [0001] The invention belongs to the field of power system scheduling automation, and in particular relates to a method for locating and predicting electric power multi-source information faults based on self-learning CEP technology combined with Petri reasoning. Background technique [0002] With the increasing pressure on global resources and the environment, the gradual deepening of power system reform, and the improvement of users' requirements for power supply reliability and power quality, future power grids are required to be safer, more reliable, more economical and more efficient. With the rapid development of my country's power grid scale and the construction of the "Sanhua" UHV power grid, as well as the development and access of a large number of new energy sources, there are more and more factors affecting the safe operation of the power grid, and the operation mechanism of the power grid is becoming more and more complicated. The scope is getting ...

AI Technical Summary

Problems solved by technology

[0003] Due to the complexity of the modern power grid, the current SCADA / EMS monitors a large amount of information, and can only conduct steady-state analysis and simple processing. The dispatcher cannot effectively process a large amount of data. When a fault occurs, a large number of alarm information accumulates in the communication channel, and the dispatcher cannot quickly Effective decision-making and completion of scheduling tasks

Due to the large scale of the power system, the various operation modes and accident modes, the completeness of the expected accident analysis cannot be realized for severe accidents such as combined explosions, and the dispatch center has not formed a comprehensive decision-making mechanism for accidents, and cannot provide effective decision-making measures.

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