Conventional microgrids face a number of challenges due to intermittency of renewable
energy resources and the lack of any effective energy management system. Thus, there is a …

A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

This paper provides an application of the hybrid Grey Wolf Optimization and Particle Swarm
Optimization (GWO-PSO) method to reach a solution to the optimal reactive power dispatch …

Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …

The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …

Renewable energy resources are a one-stop solution for major issues that include drastic
climate change, environmental pollution, and the depletion of fossil fuels. Renewable …

One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …

The optimal power flow is considered as a crucial tool in the power systems' operation and
planning. To demonstrate, it aims at minimizing the operational costs of energy production …

In recent years, significant research has been done to solve optimization and complex
problems by metaheuristic algorithms. Metaheuristic algorithms are inspired by the …

The accuracy of the modeling of the fuel cell is important for achieving precise simulation
results. This article presents a newly developed optimization method “Chaotic MayFly …