2015
DOI: 10.5120/ijca2015906432
|View full text |Cite
|
Sign up to set email alerts
|

Optimal Location and Sizing of Multiple DGs to Enhance the Voltage Stability in the Distribution System using a Chaotic ABC Algorithm

Abstract: Electric power is one of the inherent things in the modern world. Recently, the renewable and non-renewable energy based Distributed Generator (DG) units are used for generation of electric power to satisfy the local load of the distribution system. This paper proposes a chaotic artificial bee colony (CABC) algorithm based optimal placement and sizing of various categories of DGs that are simultaneously placed in the distribution system according to their technical benefits and planning aspects. Four different… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 31 publications
(40 reference statements)
0
0
0
Order By: Relevance
“…Recently, several research studies have modified the original stochastic techniques by including chaos theory in their optimization processes, such as chaotic PSO [27], chaotic GSA [28], chaotic differential evolution [29], chaotic honey badger algorithm [30], chaotic ABC [31] and chaotic GA [32]. As a matter of fact, chaos systems are defined as deterministic nonlinear dynamic systems that are sensitive to initial conditions and their operating parameters [30].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Recently, several research studies have modified the original stochastic techniques by including chaos theory in their optimization processes, such as chaotic PSO [27], chaotic GSA [28], chaotic differential evolution [29], chaotic honey badger algorithm [30], chaotic ABC [31] and chaotic GA [32]. As a matter of fact, chaos systems are defined as deterministic nonlinear dynamic systems that are sensitive to initial conditions and their operating parameters [30].…”
Section: Literature Reviewmentioning
confidence: 99%