in this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. this technique uses synchronized phasors measured by phasor measurement units (pmus) in a wide-area measurement system. in order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...

The smart-power-grid brings opportunity and challenges to the power system protection and control. In previous century, there has nothing variation in the fundamental structure of the electrical power grid and vehicle networks. Rapid progress in communication and measurement techniques sharpens progress of Wide area Protection depend on the wide area measurement system. Smart-power-grid is cons...

The smart grid will be a power grid more “aware” of its operating state and having the ability to self-heal. These features may be incorporated into the grid by implementing a phasor measurement units based wide area measurement system. Such a system will help in better real time monitoring and control of the grid. However, the wide area measurement system is subject to challenges with respect ...

When disturbances occur in power grid, monitoring, control and protection systems are required to stop the grid degradation, restore it to a normal state, and hence minimize their effects. However, in wide area power grid resulting from large extension and interconnection with neighbor grids, classical systems based on local independent measurements and decisions are not able to consider the ov...

In this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. This technique uses synchronized phasors measured by phasor measurement units (PMUs) in a wide-area measurement system. In order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...