Abstract Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the
performance of metaheuristics. However, these SBPs may include various unrealistic …

Power distribution grids are commonly controlled through centralized approaches, such as
the optimal power flow. However, the current pervasive deployment of distributed renewable …

Metaheuristics in recent years has proven its effectiveness; however, robust algorithms that
can solve real-world problems are always needed. In this paper, we suggest the first …

In constrained multi-objective optimization problems, it is challenging to balance the
convergence, diversity and feasibility of the population, especially encountering complex …

Modern electric power systems consist of large-scale, highly complex interconnected
systems projected to match the intense demand growth for electrical energy. This involves …

Integration of electric vehicles (EVs) into the unbalanced distribution system (UDS) brings
more challenges to power system operators as this additional load deteriorates the …

Abstract Introduction Big data optimization (Big-Opt) problems present unique challenges in
effectively managing and optimizing the analytical properties inherent in large-scale …

Load flow analysis is one of the essential ways used by electrical power engineers to
achieve high system quality owing to the relevance of load flow in economic optimization …

Electric vehicle (EV) departure time is an important variable in current coordinated charging
studies. The predicted value of EV departure time is more reliable than the user‐set …

Microgrids are self-sustaining systems that are small in size. They have become more
popular in recent years, especially with the addition of renewable energy sources. Due to …