Induction generator rotor faults modeling and diagnosis based on double PQ transformation

This work deals with PQ state space modeling of asynchronous generator for rotor faults detection and diagnosis. Asynchronous generator is one of the mostly used machines as electrical power generator. This is due to its low cost and high reliability compared to other types of renewable energy sources. In order to ensure reliable and profitable operations, asynchronous generator must be carefully surveyed. The main major asynchronous generator faults are the rotor broken bars, the stator shorted turns and the air-gap eccentricities. The proposed method uses stator current to estimate the remaining state variables that are related to active and reactive power of the machine. In this context different models of the machine operating conditions are discussed from the theoretical point of view. Observer state estimation technique is used to reconstruct the non measured state variables of the machine. A simulation example is presented to point out the merits of the proposed double PQ transformation method.