FIELD: electricity.
SUBSTANCE: method consists in determining the percentage of closed turns based on the instantaneous values of the currents and voltages of the stator phases, current and rotor voltage measured in the operating mode of the synchronous generator. Measured instantaneous values of phase currents and voltages of the stator are converted from a natural coordinate system to a two-phase α-β coordinate system. Using the obtained values of the transformed currents and voltages of the stator, the quasi-reactive power coefficient is determined Q=3⋅(Iα(k)⋅Uβ(k)-Iβ(k)⋅Uα(k)), where Iα(k), Iβ(k) are projections of the currents in α-β coordinate system; Uα(k), Uβ(k) are projections of the voltages α-β in the coordinate system. The input of the pretrained artificial neural network is supplied with instantaneous values of the current and voltage of the rotor, transformed currents and voltages of the stator, quasi-reactive power coefficient, as well as their time delays of 0.5 s. With the help of the trained artificial neural network, the relationship between the input and output data of the artificial neural network is determined. The onset of damages in the rotor winding is judged by the instantaneous value of the estimated percentage of closed turns of the rotor winding of the synchronous generator.
EFFECT: higher evaluation accuracy of the winding state.
2 cl, 5 dwg
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Authors
Dates
2017-08-31—Published
2016-09-19—Filed