Iranian Journal of Electrical and Electronic Engineering
IJEEE
Engineering & Technology
http://ijeee.iust.ac.ir
18
agent2
1735-2827
2383-3890
10.22068/IJEEE
en
jalali
1392
9
1
gregorian
2013
12
1
9
4
online
1
fulltext
en
An Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems
1-Power Systems Operation
Power Systems Operation
Research Paper
Research Paper
The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to limits on generator true power output and transmission losses. The MFA is a stochastic, Meta heuristic approach based on the idealized behaviour of the flashing characteristics of fireflies. This paper presents an application of MFA to ELD for six generator test case system. MFA is applied to ELD problem and compared its solution quality and computation efficiency to Genetic algorithm (GA), Differential Evolution (DE), Particle swarm optimization (PSO), Artificial Bee Colony optimization (ABC), Biogeography-Based Optimization (BBO), Bacterial Foraging optimization (BFO), Firefly Algorithm (FA) techniques. The simulation result shows that the proposed algorithm outperforms previous optimization methods.
Artificial Bee Colony optimization, Bio geography-Based Optimization, Economic Load Dispatch, Firefly Algorithm, Genetic algorithm, Particle swarm optimization.
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252
http://ijeee.iust.ac.ir/browse.php?a_code=A-10-978-1&slc_lang=en&sid=1
R
Subramanian
ssst.m1m2m3@gmail.com
`180031947532846002901`

180031947532846002901
Yes
Akshaya College
K
Thanushkodi
thanush12@gmail.com
`180031947532846002902`

180031947532846002902
No
Akshaya College
A
Prakash
prksh830@gmail.com
`180031947532846002903`

180031947532846002903
No
Akshaya College