UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 4 Issue 12
December-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1712064


Registration ID:
171071

Page Number

336-339

Share This Article


Jetir RMS

Title

Different Indices for Voltage Collapse Prediction in Power System

Abstract

As the systems power-transmission complexity wereincreasing in present perspective due to this measurement is becoming complex due to higher order of complexity. Voltage collapse of the system is one of the major fault which leads to the blackouts. If the prediction of this type of fault and any other relative parameters variation by the help of Indices in the system lead to prediction of the variation and preparing for the preventive measures. In this work IEEE 6, 14 and 30 bus system are utilized for the contingency of line outage and several operating conditions. In this work L-Index and its utility is taken in account for numerical calculations and transient process.

Key Words

Different Indices for Voltage Collapse Prediction in Power System

Cite This Article

"Different Indices for Voltage Collapse Prediction in Power System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.336-339, December-2017, Available :http://www.jetir.org/papers/JETIR1712064.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Different Indices for Voltage Collapse Prediction in Power System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp336-339, December-2017, Available at : http://www.jetir.org/papers/JETIR1712064.pdf

Publication Details

Published Paper ID: JETIR1712064
Registration ID: 171071
Published In: Volume 4 | Issue 12 | Year December-2017
DOI (Digital Object Identifier):
Page No: 336-339
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003031

Print This Page

Current Call For Paper

Jetir RMS