TITLE
AN IMPROVED PSOGSA ALGORITHM USING CHAOTIC MAPS FOR SOLVING THE COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM
AUTHOR(S)
Milena Gajić1*, Sanela Arsić1, Miroljub Jevtić2
ABSTRACT
One of the important problems in the management and exploitation of power systems is the minimization of fuel costs and the emission of toxic gases in thermal power plants by adjusting the output power of each generator. This problem is known as the combined economic emission dispatch (CEED) problem. This paper proposes Chaotic PSOGSA algorithm for solving the CEED problem. This algorithm is an improved variant of the PSOGSA algorithm that uses chaotic maps in the gravitational constant formula. Chaotic PSOGSA has an improved exploration, resulting in better characteristics than PSOGSA. The characteristics of the proposed algorithm were evaluated in the paper on a standard IEEE test system with 30 nodes and six generators. Based on the test results, it was found that Chaotic PSOGSA has better characteristics than the algorithms used in other published works.
DOI
http://www.doi.org/10.70456/DDXW1996
DOWNLOAD
https://unitechsp.tugab.bg/images/2024/4-CST/s4_p116_v4.pdf
How to cite this article:
Milena Gajić, Sanela Arsić1, Miroljub Jevtić, AN IMPROVED PSOGSA ALGORITHM USING CHAOTIC MAPS FOR SOLVING THE COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM, UNITECH – SELECTED PAPERS - 2024