As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Distributed energy resources (DERs) have gained particular attention in the last few years
owing to their rapid deployment in power capacity installation and expansion into …

Publicly accessible, elaborated grid datasets, ie, benchmark grids, are well suited to publish
and compare methods or study results. Similarly, developing innovative tools and algorithms …

Historically, distribution system planning studies mainly focused on steady state and quasi-
steady state analysis, with limited attention paid to dynamic analysis. This paper develops …

Electrochemical energy storage (ES) units (eg, batteries) have been field-validated as an
efficient back-up resource that enhances resilience of distribution systems. However, using …

With the improvement of living standards and economic growth, the electricity consumption
of Chinese residents is increasing year by year. Due to the existence of many nonlinear …

When a major outage occurs on a distribution system due to extreme events, microgrids,
distributed generators, and other local resources can be used to restore critical loads and …

There has been significant recent interest in local electricity trading platforms, and
particularly in the application of distributed ledger and blockchain technology for distributed …

Distribution system state estimation (DSSE) is a core task for monitoring and control of
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …

The distribution system state estimation problem seeks to determine the network state from
available measurements. Widely used Gauss-Newton approaches are very sensitive to the …