Power system fault diagnostic method based on probability Petri net

Abstract

The invention discloses a power system fault diagnostic method based on a probability Petri net. The power system fault diagnostic method comprises the following steps of: when a power system is in fault, identifying whether fault information is true fault information or not, preprocessing the true fault information, generating a fault suspicious component library, and forming a correlated suspicious component sublibrary; extracting suspicious components in the fault suspicious component library by a monitoring center, and generating a suspicious component fault tree; establishing a probability Petri net model of outgoing lines of the suspicious components in all directions; carrying out fault diagnosis, so as to obtain fault diagnosis results; and judging fault conditions of the suspicious components corresponding to fault diagnosis results, if the suspicious components belong to the associated suspicious components, executing credibility comparison, so as to obtain fault components, and if not, regenerating the fault tree. With the adoption of the power system fault diagnostic method based on the probability Petri net, an optimal function parameter of a transition function is given based on a probability Petri net theory, the unreliability of the components is introduced, and the fault diagnosis method containing credibility evaluation is provided, so that the power system fault diagnostic method is higher in reliability and accuracy, and can be well applied in actual power grids.

Description

technical field [0001] The invention belongs to the technical field of electrical engineering, and in particular relates to a method for diagnosing a fault in a power system based on a probability Petri net. Background technique [0002] The development of the power system has made the scale of the power grid larger and larger, the structure more and more complex, and the interconnection between different regions is getting closer and closer. Energy management systems and data acquisition and monitoring systems have been widely used in power grid dispatching centers. The impact of the faults in the system on the system itself will also expand, so the research on fault diagnosis of power systems has important practical significance. Power system fault diagnosis is to use relay protection and circuit breaker action information to identify fault areas and fault components. [0003] After the power grid fails, a large number of alarm information will be transmitted to the energ...

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Problems solved by technology

Now there are many ways to use Petri nets for power system fault diagnosis: combining Petri nets with redundant coding principles, establishing a redundant embedded Petri net model for power grid fault diagnosis, but this method needs to select an appropriate generation matrix to ensure the diagnosis The accuracy of the power system is combined with probability and Petri nets to study the fault problem of the power system, and a method of using probability information to deal with the uncertain factors in the fault diagnosis of the power system is proposed, but the initial assignment needs to rely on manual experience and does not have interpretability , which reduces the confidence of the system

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