The rapid expansion of distributed energy resources and variable renewable energy is
occurring in most utilities around the world, pertaining to the clean energy transition. These …

Spectral clustering is applied to the problem of phase identification of electric customers to
investigate the data needs (resolution and accuracy) of advanced metering infrastructure …

The impact generated by the massive connection of electric vehicles (EVs) in the distribution
networks needs to be evaluated through methodologies that consider the stochastic …

Distribution companies are increasingly turning to active network management to improve
how networks perform with respect to different metrics or objectives. This includes …

The rapid increase in penetration of distributed energy resources on the electric power
distribution system has created a need for more comprehensive interconnection modelling …

Distribution system models play a critical role in the modern grid, driving distributed energy
resource integration through hosting capacity analysis and providing insight into critical …

Many distribution system studies require long-term evaluations (eg for one year or more):
Energy loss minimization, reliability assessment, or optimal rating of distributed energy …

The spread of distributed energy resources (DERs) across the distribution power system
demands complex planning studies based on quasi-static-time-series (QSTS) simulations …

The paper presents a novel computationally efficient Quasi-Static-Time-Series (QSTS)
approach for the sizing and sitting of photovoltaic arrays in a distribution network, which …

In the present paper, we introduce a new method for the automated generation of residential
distribution grid models based on novel building load estimation methods and a two-stage …