A multi-layer perceptron neutral network (MLPNN) has been used as a decision tool to
predict out-ofstep conditions. Rotor speed deviations are sampled and the maximum speed …

This paper presents a scheme for predicting coherent generator groupings that may result
following a disturbance that leads to transient instability. The proposed scheme uses rotor …

Shunt Active Power Filters (APFs) play an important role in mitigating load current related
power quality (PQ) challenges. Their dynamic performance largely depends on the control …

Out-of-step prediction is an important requirement for reducing wide scale transient
instability conditions in power systems. An intelligent technique for predicting out-of-step …

The prediction of transient stability status and instability scenarios such as coherent
generator groups has become extremely important for the improvement of power system …

In this paper, a rotor speed deviation and multilayer perceptron neural network (MPLNN)
based transient stability prediction scheme is presented. The scheme uses the sum of the …

In order to supply electric energy to the customer in a secure and economic manner, an
electric company faces many economical and technical challenges in operation. These …

The observed poor quality of service being experienced in the power sector of Nigeria
economy has been traced to non-availability of adequate model that can handle the …

Neural networks (NNs) may be characterised by complex error functions with attributes such
as saddle-points, local minima, even-spots and plateaus. This complicates the associated …