The massive digital information generated in conjunction with the ever-increasing phasor measurement data power grid has led to a tremendous constraint on analysis and timely processing of real-time data. Under these conditions, leveraging Artificial Intelligence (AI) can play crucial role assisting more efficient analysis. In this paper an AI-assisted event classification method is proposed, w...

Timely identification of transmission line outages is key to situational awareness and preventing the propagation disturbed system conditions. Although a may get disconnected from both ends simultaneously, sequential tripping opposite more common regardless whether outage planned or administered by protective relays. This paper proposes method for monitoring identifying sequence events that und...

in this paper a new algorithm based on phasor measurements for estimating the thévenin equivalent (te) and system inertia constant is proposed. the method estimates the network te seen from a generator terminal and equivalent system inertia constant by means of phasor data that is available at phasor data concentrator (pdc) center. it is shown that the parameters of the te could be estimated at...

Egypt is moving towards smart grid infrastructures to enable efficient bidirectional power supply with reduced carbon footprint. The target smart grid will feature distributed energy generation with renewable energy systems. With the improvement of wind power technology in Egypt, increase of wind power capacity, the impact of wind power on the grid has become an important research topic as well...

As an important part of the smart grid, a wide-area measurement system (WAMS) provides the key technical support for power system monitoring, protection and control. But 20 uncertainties in system parameters and signal transmission time delay could worsen the damping effect and deteriorate the system stability. In the presented study, the subspace system identification technique (SIT) is used t...