High-voltage circuit breaker fault intelligent diagnosis method based on improved fuzzy Petri network

Abstract

The invention discloses a high-voltage circuit breaker fault intelligent diagnosis method based on an improved fuzzy Petri network. The method comprises the following steps of (1), through online monitoring, acquiring a plurality of sets of data samples in normal operation and faulted operation of the high-voltage circuit breaker, and extracting characteristic quantities in various signals; (2), based on a rough set theory, performing continuous characteristic quantity discretization and decision table reduction by means of an improved greedy algorithm for eliminating redundant characteristic quantities, and simplifying a fault diagnosis rule; (3), according to the simplified diagnosis rule, setting a corresponding database and transition, establishing a fuzzy Petri network reasoning model, and obtaining a corresponding MYCIN reasoning equation; and (4), acquiring testing data, preprocessing the testing data, inputting the testing data into the MYCIN equation for performing reasoning, and obtaining a fault conclusion. The high-voltage circuit breaker fault intelligent diagnosis method performs processing for aiming at low accuracy of the sampling data and improves fault diagnosis efficiency through equation reasoning. Furthermore the high-voltage circuit breaker fault intelligent diagnosis method can promote development of intelligent power grid technology and improves reliability and stability of a power system.

Description

technical field [0001] The invention relates to the field of electric technology, in particular to a method and device suitable for intelligent fault diagnosis of circuit breakers. Background technique [0002] With the rapid development of the global economy, the continuous advancement of science and technology, the continuous improvement of people's living standards, the continuous increase of domestic and foreign power generation and installed capacity, the gradual expansion of the grid scale, the gradual increase of the voltage level, and the closer network interconnection. In order to further optimize the power consumption pattern and improve resource allocation, the State Grid regards the construction of a smart grid as a strategic task. The modern smart grid is transformed by informatization on the original structure of the power grid. The original physical grid and the smart grid are interdependent, and they constitute a binary composite network. [0003] The inform...

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Problems solved by technology

[0008] At present, there is still a large gap in the field of intelligent diagnosis of circuit breaker faults. In practical applications, it is affected by many aspects, including: 1. The accuracy of the sensors used in the online monitoring system is limited, and there are certain errors in the data; 2. The required There are many types of feature quantities, a large amount of information, and complex processing; 3. The storage, processing and analysis of data lack scientific mathematical models, and the accuracy of intelligent fault diagnosis needs to be improved

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