Loss of excitation detection in hydro-generators based on anfis approach using positive sequence components

This paper explains the talented impact of utilizing the Adaptive Neuro Fuzzy Inference System (ANFIS) technique on enhancing the performance of the generator Loss-of-Excitation (LOE) protection. In this context, investigations are conducted on a two-hydro generator power station model under a complete Loss of Excitation (LOE) conditions and a partial Loss of Excitation (LOE) conditions. The positive sequence components of the terminal voltage magnitude, phase current magnitude and angle (|V+ve|, |I+ve| and ∟I+ve) are used as inputs to the ANFIS. The obtained results are compared with those obtained from other techniques to prove the effectiveness of the proposed scheme. The time-domain simulation studies are conducted using PSCAD/EMTDC software. The obtained results are promising.