Particle Swarm Optimized Voltage Stability Analysis Of IEEE 14 Bus System with SVC and TCSC
Rahul Pradip1 , Chetan D. Kotwal2 , Shital M. Pujara3
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-8 , Page no. 99-115, Aug-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i8.99115
Online published on Aug 31, 2019
Copyright © Rahul Pradip, Chetan D. Kotwal, Shital M. Pujara . 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: Rahul Pradip, Chetan D. Kotwal, Shital M. Pujara, “Particle Swarm Optimized Voltage Stability Analysis Of IEEE 14 Bus System with SVC and TCSC,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.8, pp.99-115, 2019.
MLA Style Citation: Rahul Pradip, Chetan D. Kotwal, Shital M. Pujara "Particle Swarm Optimized Voltage Stability Analysis Of IEEE 14 Bus System with SVC and TCSC." International Journal of Computer Sciences and Engineering 7.8 (2019): 99-115.
APA Style Citation: Rahul Pradip, Chetan D. Kotwal, Shital M. Pujara, (2019). Particle Swarm Optimized Voltage Stability Analysis Of IEEE 14 Bus System with SVC and TCSC. International Journal of Computer Sciences and Engineering, 7(8), 99-115.
BibTex Style Citation:
@article{Pradip_2019,
author = {Rahul Pradip, Chetan D. Kotwal, Shital M. Pujara},
title = {Particle Swarm Optimized Voltage Stability Analysis Of IEEE 14 Bus System with SVC and TCSC},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2019},
volume = {7},
Issue = {8},
month = {8},
year = {2019},
issn = {2347-2693},
pages = {99-115},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4797},
doi = {https://doi.org/10.26438/ijcse/v7i8.99115}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.99115}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4797
TI - Particle Swarm Optimized Voltage Stability Analysis Of IEEE 14 Bus System with SVC and TCSC
T2 - International Journal of Computer Sciences and Engineering
AU - Rahul Pradip, Chetan D. Kotwal, Shital M. Pujara
PY - 2019
DA - 2019/08/31
PB - IJCSE, Indore, INDIA
SP - 99-115
IS - 8
VL - 7
SN - 2347-2693
ER -
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Abstract
Over a last few decade’s voltage instability is a concern phenomenon in power industry. The main cause of voltage instability is the deficit of reactive power in the system and the Active Power losses due to increased inductive reactance of transmission line. Flexible AC transmission system (FACTS) devices can improve the line losses by varying inductive reactance there by increasing Active Power in the system and controlling reactive power by Facts devices which tends to control voltage within the specific limit. In this paper the work is proposed with the help of IEEE 14 bus system in Power World Simulator and comparison have been made in MATLAB. The index of voltage stability Fast Voltage Stability Index (FVSI) gives information about the line which is prone to voltage collapse. At last the location and rating of SVC and TCSC are optimized with help of Particle Swarm Optimization Algorithm to get the voltage within a specific range at all the load buses.
Key-Words / Index Term
FACTS devices, Fast voltage stability index, Power World Simulator , SVC, TCSC, Particle Swarm Optimization
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