Open AccessModern Swarm Intelligence based Algorithms for Solving Optimal Power Flow Problem in a Regulated Power System Framework
Author(s) -
Vijaya Bhaskar K
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i2.1515
Subject(s) - firefly algorithm , swarm behaviour , electric power system , computer science , swarm intelligence , convergence (economics) , mathematical optimization , minification , algorithm , stability (learning theory) , power flow , function optimization , power (physics) , particle swarm optimization , mathematics , artificial intelligence , genetic algorithm , machine learning , physics , quantum mechanics , economics , economic growth
This paper presents artificial swarm intelligent based algorithms viz., Firefly Algorithm (FFA), Dragonfly Algorithm (DA) and Moth Swarm Algorithm (MSA) to take care of the issues related to optimal power flow (OPF) problem in a power system network. The optimal values of various decision variables obtained by swarm intelligent based algorithms can optimize various objective function of OPF problem. This article is focused with four objectives such as minimization of total fuel cost (TFC) and total active power loss (TAPL); improvisation of total voltage profile (TVD) and voltage stability index (VSI). The effectiveness of various swam intelligent algorithms are investigated on a standard IEEE-30 bus. The performance of distinct algorithms is compared with statistical measures and convergence characteristics.