Fault diagnosis method based on self-adaptive optimized pulse neuromembrane system

Abstract

The invention relates to a fault diagnosis method based on a self-adaptive optimized pulse neuromembrane system. The method includes the steps of obtaining action information of a relay protection device and trip operation information of a circuit breaker from a monitoring and data acquisition system of a power grid; according to the acquired information, identifying a power outage area and determining suspicious faulty components in the power outage area; according to a logical relationship among the suspicious faulty components, protection actions and circuit breaker trip operations, expressing a fault diagnosis problem as a 0-1 integer programming problem; increasing a learning rate in an original optimized pulse neuromembrane system, introducing intersection and variation to obtain theself-adaptive optimized pulse neuromembrane system, solving an objective function and then determining a faulty component; establishing a human-machine interactive interface window and displaying a fault area, the faulty component, the protection actions and the maloperation and operation failure conditions of the circuit breaker in real time. According to the method, the correctness of fault diagnosis is high, the assistance of other heuristic optimization algorithms is not needed, the iteration frequency can be greatly reduced, and an optimal value is found quickly.

Description

technical field [0001] The invention relates to the technical field of power grid dispatching and fault analysis, in particular to a fault diagnosis method (AOSNPS) based on an adaptive optimization pulse neural membrane system. Background technique [0002] With the continuous development of the economy and the continuous advancement of science and technology, the power system has entered the era of large power grids characterized by high voltage, large units, cross-regional, and AC-DC hybrids, in order to adapt to modern society and power users' requirements for power quality and reliability. higher demands. Although the modern power system continuously adopts various methods and measures to ensure the safe and stable operation of the power system, various power outages still exist in recent years, and these accidents have caused serious social impact and huge economic losses. In the traditional power system fault diagnosis, the fault diagnosis work is made by the dispatc...

AI Technical Summary

Problems solved by technology

However, in the modern power system, with the expansion of the grid scale, the various alarm information pouring into the dispatch center is not only large in number but also more and more complex, which makes the dispatcher analyze various alarms in a very short time information becomes more and more difficult

Therefore, it is impossible for dispatchers to take measures to remove faulty components in a short time to ensure the safe and stable operation of the power system.

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