Non-linear robust fault detection method for generator car based on observer

Abstract

The invention discloses a generator car nonlinear robust fault detection method based on an observer, and the method comprises the steps: 1, building a dynamic model of a generator car, considering a distributed model of the generator car and a phasor measurement unit at a high-voltage side of a transformer, and obtaining a needed output measurement value on a bus at the high-voltage side of the transformer; (2) observing by an observer to obtain a state space model expression, and establishing a Lipschitz nonlinear equivalent model; (3) fault modeling is carried out, fault vectors representing all possible faults are obtained, residual errors are calculated, and a fault threshold value is calculated through a residual error peak value; and (4) designing a fault diagnosis filter, and providing a fault detection (FD) scheme based on a nonlinear observer. According to the method, the influence of interference and model uncertainty is considered, a nonlinear model influenced by disturbance is adopted, and the method can be used for nonlinear robust fault detection of the generator car.

Description

technical field [0001] The invention relates to the field of power system fault diagnosis, in particular to an observer-based nonlinear robust fault detection method for a generator car. Background technique [0002] Among the various energy sources in nature, electric energy has the outstanding characteristics of large-scale centralized production, long-distance economic transmission, and intelligent automatic control. It has not only become the main energy source for human production and life, but also has played an important role in the generation and development of modern human civilization. important impetus. With the rapid development of the country, the continuous development of social and economic level and the continuous enrichment of people's material life, the demand for electricity is increasing day by day. At this time, along with the modification of the power system structure, the change of the operating environment, the advancement of communication infrastruc...

AI Technical Summary

Problems solved by technology

However, in the presence of unknown inputs, even if the system is not faulty, the residuals will not be zero. Existing fault detection often does not consider disturbances and uncertainties, and some do not consider actuator and sensor faults

In addition, there are currently few fault detection methods using nonlinear models

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