Optimal Power Flow Using Grass Hopper Optimization Algorithm for Generator Fuel Cost and Voltage Profile
A.I. Modi1 , T.V. Rabari2
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-3 , Page no. 238-241, Mar-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i3.238241
Online published on Mar 31, 2019
Copyright © A.I. Modi, T.V. Rabari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: A.I. Modi, T.V. Rabari, “Optimal Power Flow Using Grass Hopper Optimization Algorithm for Generator Fuel Cost and Voltage Profile,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.238-241, 2019.
MLA Style Citation: A.I. Modi, T.V. Rabari "Optimal Power Flow Using Grass Hopper Optimization Algorithm for Generator Fuel Cost and Voltage Profile." International Journal of Computer Sciences and Engineering 7.3 (2019): 238-241.
APA Style Citation: A.I. Modi, T.V. Rabari, (2019). Optimal Power Flow Using Grass Hopper Optimization Algorithm for Generator Fuel Cost and Voltage Profile. International Journal of Computer Sciences and Engineering, 7(3), 238-241.
BibTex Style Citation:
@article{Modi_2019,
author = {A.I. Modi, T.V. Rabari},
title = {Optimal Power Flow Using Grass Hopper Optimization Algorithm for Generator Fuel Cost and Voltage Profile},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {238-241},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3823},
doi = {https://doi.org/10.26438/ijcse/v7i3.238241}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.238241}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3823
TI - Optimal Power Flow Using Grass Hopper Optimization Algorithm for Generator Fuel Cost and Voltage Profile
T2 - International Journal of Computer Sciences and Engineering
AU - A.I. Modi, T.V. Rabari
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 238-241
IS - 3
VL - 7
SN - 2347-2693
ER -
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Abstract
In this paper, optimal power flow (OPF) using grass hopper optimization algorithm (GOA) is addressed. OPF is a basic tool for economical and secure operation of power system. Here, the generator fuel cost and voltage profile are considered as main objectives with constraints. The GOA is a metaheuristic swarm based optimization algorithm. It mimics the natural behaviour of grass hopper. The GOA is implemented on IEEE-30 bus system to solve OPF problem. Results show the ability of GOA to reduce the voltage deviation. It demonstrates that the GOA is capable to improve the voltage profile of system buses.
Key-Words / Index Term
optimal power flow, grass hopper optimization algorithm, generator fuel cost and voltage profile, IEEE-30 bus system
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