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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30314

Comparison of the PSO Algorithm and JAYA Algorithm for Economic Load Dispatch

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30314

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30314

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SN

S. Nagaraju

BRK

B. Ravi Kumar

RHC

Reddi Hari Chandana

PSS

PSV Satya Sai

JS

Jonnada Sirisha

LKK

Lolla Kishore Kumar

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Abstract

The electrical power industry has undergone the significant changes, leading to a competitive market and the need for optimal economic dispatch solutions. As energy resources becoming scarce, prices rise, environmental concerns intensify, and electricity consumption increases, classical optimization techniques struggle to handle these complex issues. This project compares particle swarm optimization (PSO) and JAYA optimization method for economic load dispatch (ELD) problems in the electrical power industry. PSO has gained recognition as an effective solution for ELD problems in the last decade. The aim of this study is to show that Jaya optimization is the best optimization methodology for ELD problems. By comparing the performance, convergence speed, and accuracy of PSO and JAYA optimization, this paper aims to provide insights into the superiority of JAYA optimization.

KEYWORDS

Economic Load dispatch Optimization method PSO algorithm JAYA algorithm Incremental fuel cost

Cite This Article

S. Nagaraju, B. Ravi Kumar, Reddi Hari Chandana, PSV Satya Sai, Jonnada Sirisha, Lolla Kishore Kumar, "Comparison of the PSO Algorithm and JAYA Algorithm for Economic Load Dispatch," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30314

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Publication Date

12/31/45390

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Double-Blind Peer Review

Review Rounds: 2

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