Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

The advent of more proactive consumers, the so-called “prosumers”, with production and
storage capabilities, is empowering the consumers and bringing new opportunities and …

Traditional centralized optimization and management schemes may be incompatible with a
changing energy system whose structure is becoming increasingly distributed. This …

With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …

This paper reviews approaches for facilitating the integration of small-scale distributed
energy resources (DER) into low-and medium-voltage networks, in the context of the …

Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …

In this paper, an integrated blockchain-based energy management platform is proposed that
optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism …

The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …

With the sustained deployment of distributed generation capacities and the more proactive
role of consumers, power systems and their operation are drifting away from a conventional …

While power system organization has evolved from a hierarchical structure to a more
decentralized model, electricity markets are still not up to date with the ongoing …