Particle Swarm Optimization Scheme for the Solution of Economic Dispatch

Thenmalar, K. and Allirani, A. (2013) Particle Swarm Optimization Scheme for the Solution of Economic Dispatch. In: 2013 7th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, Tamil Nadu, India.

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Abstract

Economic Dispatch is an important optimization
task in power system. It is the process of allocating generation
among the committed units such that the constraints imposed
are satisfied and the energy requirements are minimized.
More recently, the soft computing techniques have received
more attention and were used in a number of successful and
practical applications. Here, an attempt has been made to
find out the minimum cost by using Particle Swarm
Optimization (PSO) Algorithm using the data of three
generating units. In this work, data has been taken such as
the loss coefficients with the max-min power limit and cost
function. PSO is applied to find out the minimum cost for
different power demand. When the results are compared
with the traditional technique, PSO seems to give a better
result with better convergence characteristic. All the
techniques are implemented in MATLAB environment.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science and Engineering > Machine learning
Divisions: Computer Science and Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 23 Oct 2026 10:04
Last Modified: 23 Oct 2026 10:04
URI: https://ir.vcenggw.ac.in/id/eprint/344

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