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

Optimizing the schedule of thermal generators is probably the most important task when the
operation of power systems is managed. This issue is known as the unit commitment …

This paper summarizes the technical activities of the IEEE Task Force on Solving Large
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …

With the implementation of demand response programs and its increasing penetration in the
power grid, various new challenges to the grid's operation have emerged. As a …

Accelerating the deep decarbonization of the world's electric grids requires the coordination
of complex energy systems and infrastructures across timescales from seconds to decades …

In the power and energy systems area, a progressive increase of literature contributions that
contain applications of metaheuristic algorithms is occurring. In many cases, these …

The increased interest in renewable-based microgrids imposes several challenges, such as
source integration, power quality, and operating cost. Dealing with these problems requires …

The energy transition needs mathematical models to address the complexity of shifting
towards sustainable energy sources. In addition to providing accurate solutions, these …

At operational level, fossil fuel phase-out and high shares of non-dispatchable renewable
energy resources (RES) will challenge the system operator's (SO) ability to balance …

This paper proposes comprehensive models for assessing different Coordination Schemes
(CSs) in the context of distributed flexibility procurement used for balancing and congestion …