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 …

Recently, Manta ray foraging optimization (MRFO) has been developed and applied for
solving few engineering optimization problems. In this paper, an elegant approach based on …

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

Consumption of traditional fossil energy has promoted rapid economic development and
caused effects such as climate warming and environmental degradation. In order to solve …

An improved bare-bone multi-objective particle swarm optimization (IBBMOPSO) is
proposed to solve the combined heat and power economic emission dispatch problems. To …

This paper presents an economical-technical-environmental dispatch (ETED) model for an
adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy …

The application of oxygenated alternative fuels in diesel engines is an effective way to solve
the energy crisis and environmental pollution. Higher alcohols (butanol and pentanol), as …

Nowadays, there is a growing interest in the microgrid systems with a high penetration of
renewable sources. In this paper, the modified harmony search (MHS) algorithm is proposed …

This paper proposes an economical-environmental-technical dispatch (EETD) model for
adjusted IEEE 30-bus and IEEE 57-bus systems, including thermal and high penetration of …