Load modeling has significant impact on power system studies. This paper presents a
review on load modeling and identification techniques. Load models can be classified into …

This paper maps the expected and possible adverse consequences for power quality of
introducing several smart distribution-grid technologies and applications. The material …

A bottom-up modeling approach is presented that uses a Markov chain Monte Carlo
(MCMC) method to develop demand profiles. The demand profiles are combined with the …

Traditionally, the determination of static load characteristics is one of the main stages in the
preparation of a design model of an electric power system. It is especially important to …

This paper presents parameter values and ranges of static load models used in a power
system analysis for the representation of both individual electrical devices and aggregate …

In the last years, the energy production share of power electronics-based generators has
kept increasing with respect to the synchronous generation. These power electronics …

Distributed Generation (DG) is gaining in significance due to the keen public awareness of
the environmental impacts of electric power generation and significant advances in several …

Load modelling plays a key role in assessing peak load reduction and has attracted
renewed interest recently due to increasing diversity and uncertainty in load characteristic …

The ability to manage loads can play a significant role in the future operation and planning
of electricity networks. One way of unlocking this source of flexibility without directly involving …

Load power sensitivity to voltage changes continuously in the distribution grid due to the
increased variability of the load demand (eg, electric vehicles charging) and generation …