This paper presents a methodology for the classification of power system voltage stability, the trajectory of which to instability is monotonic, using an interior point method based support vector machine (IPMSVM). The SVM based voltage stability classifier can provide real-time stability identification only using the local measurement data, without the topological information conventionally used.

 Abstract-In this paper, we develop semidefinite programming (SDP) models aimed at solving optimal power flow (OPF) problems in distribution systems. We propose two models: the symmetrical SDP model which modifies the existing BFM-SDP model. Then based on the symmetrical SDP model, we develop a voltage regulation model that solves OPF problems with binding voltage constraints. To evaluate the ...

The increased integration of renewable energies (REs) raised the uncertainties power systems and has changed approach to dealing with system challenges. Hence, uncertain nature all variables needs be considered while optimal planning operation modern systems. This paper presents a probabilistic active reactive dispatch (POARPD) based on point estimate method (PEM), considering associated load v...

At present, it is very common to find renewable energy resources, especially wind power, connected to distribution systems. The impact of this wind power on voltage distribution levels has been addressed in the literature. The majority of this works deals with the determination of the maximum active and reactive power that is possible to be connected on a system load bus, until the voltage at t...

The frequent occurrence of voltage instability in a modern power system is alarming and thus, has been of great concern to power system utilities. In this paper, a new performance index based on the power flow solutions for voltage stability assessment of a power system is presented. First, the voltage deviation with respect to reactive power load variation at each load bus is found. Thereafter...

Frequency-dependent third and fourth moments of the Barkhausen signal from a soft amorphous ferromagnet are measured. The data indicate strong coupling between the power in different frequency bands. The sign of the time asymmetry of a third-order voltage correlation indicates that the high-frequency Barkhausen events, on average, systematically precede the low-frequency Barkhausen events. The ...

At present, it is very common to find renewable energy resources, especially wind power, connected to distribution systems. The impact of this wind power on voltage distribution levels has been addressed in the literature. The majority of this works deals with the determination of the maximum active and reactive power that is possible to be connected on a system load bus, until the voltage at t...

This paper proposes a Neural Network-Based method for on-line maximum loadability estimation, for an optimized power system voltage stability profile. A simulated annealing optimization technique for optimal voltage stability profile through out the whole power network was used. The minimization of the voltage stability index at each individual load bus as well as the global voltage stability i...