ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
Whale Optimization Algorithm for Renewable Resources Using 33-Bus System
Authors
U. Thiruppathi , AL. Sindhu Priya
Keywords
Whale Optimization Algorithm (WOA, Distributed Generator (DG), PV Arrays and Wind Turbines
Abstract
Distributed generator (DG) resources are the emerging micro-generating technologies such as fuel cells, micro turbines, IC engines. They also make use of renewable energy sources such as PV arrays and Wind Turbines. DG units have low emission rates and are environment friendly and economical. Power loss reductions, voltage profile improvement and increasing reliability are some advantages of DG units. The above benefits can be achieved by optimal placement of DGs. Optimal DG locations are obtained from power loss index method. A novel metaheuristic algorithm called Whale Optimization Algorithm (WOA) is used to determine the optimal DG-units size in this paper. WOA modeled based on the unique hunting behavior of humpback whales. The WOA algorithm is tested on IEEE 33-bus test systems. The results obtained by the proposed WOA algorithm were compared with different types of DGs and other evolutionary algorithms. When compared with other algorithms the WOA algorithm gives better results.
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IJRTI — journal style
"Whale Optimization Algorithm for Renewable Resources Using 33-Bus System", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 6, page no.18 - 34, June-2019, Available :https://ijrti.org/papers/IJRTI1906004.pdf
APA — 7th edition
Thiruppathi, U., & Priya, A. S. (2019). Whale Optimization Algorithm for Renewable Resources Using 33-Bus System. International Journal for Research Trends and Innovation, 4(6), 18 - 34. https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004
MLA — 9th edition
Thiruppathi, U., and AL. Sindhu Priya. "Whale Optimization Algorithm for Renewable Resources Using 33-Bus System." International Journal for Research Trends and Innovation, vol. 4, no. 6, 2019, pp. 18 - 34, https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004.
Chicago — 17th, bibliography
Thiruppathi, U., and AL. Sindhu Priya. "Whale Optimization Algorithm for Renewable Resources Using 33-Bus System." International Journal for Research Trends and Innovation 4, no. 6 (2019): 18 - 34. https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004.
Harvard — author–date
Thiruppathi, U. and Priya, A.S. (2019) 'Whale Optimization Algorithm for Renewable Resources Using 33-Bus System', International Journal for Research Trends and Innovation, 4(6), pp. 18 - 34. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004
IEEE — numbered reference
U. Thiruppathi and A. S. Priya, "Whale Optimization Algorithm for Renewable Resources Using 33-Bus System," IJRTI, vol. 4, no. 6, pp. 18 - 34, Jun. 2019.
Vancouver — biomedical
Thiruppathi U, Priya AS. Whale Optimization Algorithm for Renewable Resources Using 33-Bus System. IJRTI. 2019 Jun;4(6):18 - 34.
AMA — 11th edition
Thiruppathi U, Priya AS. Whale Optimization Algorithm for Renewable Resources Using 33-Bus System. IJRTI. 2019;4(6):18 - 34. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1906004,
author = {U. Thiruppathi and AL. Sindhu Priya},
title = {Whale Optimization Algorithm for Renewable Resources Using 33-Bus System},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {6},
pages = {18 - 34},
year = {2019},
month = {June},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Thiruppathi, U.
AU - Priya, AL. Sindhu
TI - Whale Optimization Algorithm for Renewable Resources Using 33-Bus System
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 6
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004
SP - 18
EP - 34
ER -
Issue
Volume 4 Issue 6,
June-2019
Pages : 18 - 34
Other Publication Details
Paper Reg. ID
IJRTI_180768
Published Paper ID
IJRTI1906004
Downloads
205,631
Research Area
Engineering
Country
Pudukkottai, Tamil Nadu, India
Published
June 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1906004.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1906004
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
