Particle swarm optimization: A comprehensive survey
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …
in the literature. Although the original PSO has shown good optimization performance, it still …
A comprehensive review on integration challenges, optimization techniques and control strategies of hybrid AC/DC Microgrid
The depletion of natural resources and the intermittence of renewable energy resources
have pressed the need for a hybrid microgrid, combining the benefits of both AC and DC …
have pressed the need for a hybrid microgrid, combining the benefits of both AC and DC …
A comprehensive review on power-quality issues, optimization techniques, and control strategies of microgrid based on renewable energy sources
E Hernández-Mayoral, M Madrigal-Martínez… - Sustainability, 2023 - mdpi.com
Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate
Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical …
Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical …
Formulation and application of quantum-inspired tidal firefly technique for multiple-objective mixed cost-effective emission dispatch
In this manuscript, a new quantum computing-based optimization algorithm is proposed to
solve multiple-objective mixed cost-effective emission dispatch (MEED) problem of electrical …
solve multiple-objective mixed cost-effective emission dispatch (MEED) problem of electrical …
Particle swarm optimization
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A modified hybrid particle swarm optimization with bat algorithm parameter inspired acceleration coefficients for solving eco-friendly and economic dispatch problems
The paper presents a modified hybrid particle swarm optimization with bat algorithm
parameter inspired acceleration coefficients (MHPSO-BAAC) without and with the …
parameter inspired acceleration coefficients (MHPSO-BAAC) without and with the …
Jaya algorithm with self-adaptive multi-population and Lévy flights for solving economic load dispatch problems
In this paper, a recently proposed Jaya algorithm is implemented on the economic load
dispatch problems (ELDPs). Different from most of the other meta-heuristics, Jaya algorithm …
dispatch problems (ELDPs). Different from most of the other meta-heuristics, Jaya algorithm …
Metaheuristic optimization of power and energy systems: Underlying principles and main issues of the 'rush to heuristics'
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 …
contain applications of metaheuristic algorithms is occurring. In many cases, these …
Role of metaheuristics in optimizing microgrids operating and management issues: a comprehensive review
The increased interest in renewable-based microgrids imposes several challenges, such as
source integration, power quality, and operating cost. Dealing with these problems requires …
source integration, power quality, and operating cost. Dealing with these problems requires …
Solving renewables-integrated economic load dispatch problem by variant of metaheuristic bat-inspired algorithm
One of the most important concerns in the planning and operation of an electric power
generation system is the effective scheduling of all power generation facilities to meet …
generation system is the effective scheduling of all power generation facilities to meet …