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A comprehensive review on sustainable energy management systems for optimal operation of future-generation of solar microgrids
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 …
energy resources and the lack of any effective energy management system. Thus, there is a …
Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications
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 …
undesirable characteristics like non-convexity, mixed types of design variables and multiple …
A survey on the artificial bee colony algorithm variants for binary, integer and mixed integer programming problems
Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …
involves decision variables defined in the discrete search space. Binary optimization …
An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with Markov chain
The optimal operation programming of electrical systems through the minimization of the
production cost and the market clearing price, as well as the better utilization of renewable …
production cost and the market clearing price, as well as the better utilization of renewable …
Optimal energy management and control aspects of distributed microgrid using multi-agent systems
At present, energy generation is evolving into a smart distribution system that assimilates
several green energy resources at a distributed level assuring to generate clean energy …
several green energy resources at a distributed level assuring to generate clean energy …
A holistic review on optimization strategies for combined economic emission dispatch problem
Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …
various reasons, the reserves of fossil fuels are declining and will become too expensive in …
An evolutionary algorithm based on Minkowski distance for many-objective optimization
The existing multiobjective evolutionary algorithms (EAs) based on nondominated sorting
may encounter serious difficulties in tackling many-objective optimization problems …
may encounter serious difficulties in tackling many-objective optimization problems …
MOEA/HD: A multiobjective evolutionary algorithm based on hierarchical decomposition
Recently, numerous multiobjective evolutionary algorithms (MOEAs) have been proposed to
solve the multiobjective optimization problems (MOPs). One of the most widely studied …
solve the multiobjective optimization problems (MOPs). One of the most widely studied …
Multi-objective optimization and multi-criteria analysis models and methods for problems in the energy sector
The energy sector has been a fertile ground for the application of operational research (OR)
models and methods (Antunes and Martins, OR Models for Energy Policy, Planning and …
models and methods (Antunes and Martins, OR Models for Energy Policy, Planning and …
A Review on Economic Dispatch of Power System Considering Atmospheric Pollutant Emissions
The environmental/economic dispatch (EED) of power systems addresses the
environmental pollution problems caused by power generation at the operational level …
environmental pollution problems caused by power generation at the operational level …