Abstract Development of efficient multi-objective evolutionary algorithms (MOEAs) has
provided effective tools to solve environmental/economic dispatch (EED) problems. EED is a …

The electricity market has since 1980s been gradually evolving from a monopoly market into
a liberalized one for encouraging competition and improving efficiency. This brings the …

This work presents a novel Moth Swarm Algorithm (MSA), inspired by the orientation of
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …

This paper proposes an optimal economic dispatch of a grid connected microgrid. The
microgrid consists of solar photovoltaic, diesel and wind power sources. An Incentive Based …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

The resource allocation problem is studied and reformulated by a distributed interior point
method via a θ-logarithmic barrier. By the facilitation of the graph Laplacian, a fully …

In this paper a novel time varying acceleration coefficients particle swarm optimization
(TVAC-PSO) algorithm is implemented to solve combined heat and power economic …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

The economic dispatch problem is investigated in this paper for a class of smart grids
subject to unknown communication uncertainties. Compared with existing works related to …

The dynamic economic emission dispatch (DEED) of electric power generation is a multi-
objective mathematical optimization problem with two objective functions. The first objective …