Background To reduce the effects of climate change, the current fossil-based energy system
must transition to a low-carbon system based largely on renewables. In both academic …

This article proposes a fully distributed energy management algorithm for dc microgrids,
resilient to different faults. Specifically, we employ distributed model-predictive control to …

The efficiency and resilience have a negative correlation and they move in opposite
directions. Both of them cannot be simultaneously enhanced and improving one of them …

The COVID-19 pandemic has introduced opportunities for more research in resilience as
globally cities experienced lock-down, causing change to conventional energy consumption …

With increase in the frequency of natural disasters such as hurricanes that disrupt the supply
from the grid, there is a greater need for resiliency in electric supply. Rooftop solar …

This paper proposes a resilient distributed energy management algorithm able to cope with
different types of faults in a DC microgrid system. A distributed optimization method allows to …

Nowadays, due to the increasing number of disasters, improving distribution system
resiliency is a new challenging issue for researchers. One of the main methods for improving …

The need for resiliency of electricity supply is increasing due to increasing frequency of
natural disasters-such as hurricanes-that disrupt supply from the power grid. Rooftop solar …

This paper proposes a fault-tolerant energy management algorithm for microgrid systems
composed of several agents. The method stems from the necessity to design an algorithm …

In this paper, in a Model Predictive Control problem, we tackle the integration of uncertain
constraints that belong to a discrete set. We propose a controller that offers a solution to …