Authors:
Elahe Faghihnia
;
Sadegh Khaleghi
;
Reihane Kardehi Moghaddam
and
Mahdi Zarif
Affiliation:
Islamic Azad University, Iran, Islamic Republic of
Keyword(s):
Economic Dispatch, Optimization, Particle Swarm Optimization.
Related
Ontology
Subjects/Areas/Topics:
Distributed Control Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Optimization Algorithms
Abstract:
Electrical energy production has changed various features of the energy manufacturing. According to this
map, lack of energy supplies, improving energy cost, environment matter, require optimal economic dispatch.
Economic load dispatch (ED) problem is essentially nonlinear. Since we know that the traditional methods
donot have the ability to solve problems like this for reasons such as caught up in the trap of local optimal
point or low convergence speed. Therefore, the use of algorithms that are more powerful is inevitable. An
efficient algorithm for solving ED problem is particle swarm optimization considering to its fast convergence
to global optima and computationally efficiency. PSO based algorithms has achieved a pluperfect
identification of the best solution for such kind of EDPs in last decade. In this paper, we try various techniques
associated with PSO, fully checked.