Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural Network (PNN) for detecting the type of fault is used. The work presented in this paper is focused on identification of simple power system faults. Wavelet Transform (WT) of the transient disturbance caused as a result of occurrence of f...

Low frequency oscillations (LFO) are a frequent harmful phenomenon which increases the risk of instability for the power system. They limit the steady-state power transfer and change the operational system economics and security. The identification of LFO and solution to LFO problems with reference to power system stabilizer is carried out in this literature survey.

This paper addressed some theoretical and practical issues relevant to the problem of power system load modeling and identification. An identification method is developed in the theoretical framework of stochastic system identification. The identification method presented in this paper belongs to the family of output error models and is based on well-established equations describing load recove...

The non-linear loads include rectifiers, blenders, electric drills, UPS, computer, printer, TV’s, variable speed drivers, arc furnaces and high power electronic equipment comprising high power semiconductors i.e thyristorised Converters, Inverters etc. It is well known that any deviation from a perfect sin-wave is an indication of the presence of harmonics in the power system. Hence, a pure alt...

Because the power systemload the randomness of the nature, power transmission of AC induction system has the low efficiency. In order to improve the transmission efficiency,the transmission efficiency influenced factors of the system is analyzed. Based on the current source power transfer system, DC/DC circuit for dynamic adjustment method is proposed. The method ensures that the transmission e...