Author/Authors :
Effatnejad، Reza نويسنده , , Bagheri، Sajad نويسنده Electrical Engineering Department, Karaj Branch, Research Alborz, Islamic Azad University, Karaj, Iran , , Farsijani، Mehdi نويسنده Electrical Engineering Department, Karaj Branch, Research Alborz, Islamic Azad University, Karaj, Iran , , Talebi، Reza نويسنده Electrical Engineering Department, Karaj Branch, Research Alborz, Islamic Azad University, Karaj, Iran ,
Abstract :
As we know, the main subject of the economic
dispatch is allocated for generator production. We must
consider all limitations and economical mode and
network operation. Power usages are organized in their
efforts towards network utilization with high efficiency
generation and low costs. Economic dispatch (ED) in
large scale systems is completely complex non-linear
problem and it is required by non-convex optimization.
Global optimization methods can be named such as
genetic algorithms (GA), particle swarm optimization
algorithms (PSO), Taguchi algorithms and optimal power
flow (OPF). In this paper, methods (PSO-OPF) are
explained for ED with PSO and then for ED with OPF.
Evolutionary strategies are used in recent decades due to
their powerful search capabilities and their ability to
influence the different types of cost functions, a growing
number of researchers to solve problems by spreading
economic partner, GA and PSO are implemented more in
comparison with other methods and the number of
articles that have been published in recent years.
Heuristic optimization techniques are receiving great
interests these days. Swarm intelligence (SI) is a type of
heuristic optimization techniques.
