A new protection scheme for stator faults in synchronous generators

Vahdati, Pouya Mahdavipour; Arjmandi, Arash; Seyedi, Heresh; Moradi, Soheil

doi:10.1109/iraniancee.2013.6599889

Cited by 2 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is based on a multivariable statistic technique which can be used for the fault detecting in the transient mode. A voltage controlled over‐current protection introduced by Vahdati et al has been used as backup protection of differential relay. Ozgonenel et al have presented a method based on the discrete wavelet transform coefficients of the generator terminals voltage.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of interturn fault in stator winding of turbo‐generator

Faiz

Mahmoodi

Keravand

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary The synchronous generator is one of the most expensive and important components of power systems. Therefore, it must be protected against any fault. To prevent fault expansion, appropriate protection must be able to quickly diagnose generator internal faults. Meanwhile, protection system security depends on the stability of power system transients. One of the generator faults which may be undetectable by the existing advanced relays is the interturn fault. This paper introduces novel indices to detect this type of the fault which are based only on the measured current in the terminals of the generator. A quick algorithm can easily diagnose the fault. The merit of the algorithm is that it can detect the faults shorter than half of the cycle with correct operation. Furthermore, the proposed quick and secure approach has low computational burden and it can be simply applied to digital protection relays. To evaluate the performance of the proposed method, a high power synchronous generator is simulated using two‐dimensional finite element method. Also, its performance is verified for distinguishing interturn fault from power system transients and phase‐to‐phase faults.

show abstract

Section: Introductionmentioning

confidence: 99%