The study of power system planning, security and control is crucial for determining optimal
power flow (OPF), a highly non-linear complicated issue. The functioning of the power …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

When plug-in electric vehicles (PEVs) participate in grid operation, the intertemporal feature
of PEVs charging transforms the traditional optimal power flow (OPF) problem into …

In the modern power system, the uncertainties such as renewable generation and electric
vehicles are usually modelled as either interval or probabilistic variables for the power flow …

Various probabilistic power flow (PPF) and interval power flow (IPF) methods have been
developed to deal with random and interval variables in power systems, respectively …

The determination of the transient stability of an electric power system is a crucial step in
power system analysis. This paper investigates the transient stability of an IEEE-9 bus …

In order to quantify the impact of uncertainties on power systems resulted from renewable
energy, a novel interval power flow method based on multi-dimensional holomorphic …

This paper presents a load flow analysis for voltage sensitive loads on a nine-bus test
network with voltage sensitive components. As a result, the present study conducts load flow …

This paper presents a new computational attractive interval power flow (PF) approach with
correlated uncertain power injections while maintaining high estimation accuracy. The key …

An interval power flow (IPF) method that considers the interval correlations of input random
variables is proposed to improve the calculation accuracy of IPF, ie, as correlated distributed …