Harmonic distortion in residential distribution networks is increasing due to the penetration
of multiple nonlinear loads, including modern technologies such as plug-in electric vehicles …

In the paper, Markov chains in conjunction with Monte Carlo simulation are used to predict
the power system security level. The new approach uses a Markov chain for each identified …

In this paper, a novel approach for using a function space Markov chain-like to model a
nonlinear, highly time-varying load such as an electric arc furnace (EAF) is proposed. After …

Voltage sag produced by an induction motor starting current is a main cause of sensitive
equipment dropout. The use of a motor starter reduces the voltage sag depth but increases …

The concern about the causes and effects of harmonics in power systems began in the
1920's when distorted voltage and current waveforms were observed on power lines for the …

California went to a competitive market structure to capture the efficiency benefits of supplier
competition through lower prices. This worked when there was a surplus but the efficiency …

Prevention and mitigation of low probability, high impact events is becoming a priority for
power system operators, as natural disasters are hitting critical infrastructures with increased …

The offshore wind power plant grid-connected harmonic analysis is inherently influenced by
numerous uncertainties, which introduce a level of risk to the analysis results. To address …

Power system currents and voltages magnitudes are time variant due to continual changes
in system configuration and load conditions. This paper deals with the statistical description …

A novel method of signal analysis, symbolic dynamics, is employed to model highly varying
electrical loads. The method is based on a discretized form of the load current signal …