UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRC006134


Registration ID:
183773

Page Number

753-760

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Title

Simulation of Power Market Analysis

Abstract

In this paper, a Newton-based optimal power flow (OPF) is used for power market analysis. The OPF has features of line overload removal, enforce the constraints, bus marginal control, transmission line marginal control, super area control. The main purpose of using optimal power flow(OPF) in this paper is to determine the “best” way to instantaneously operate a power system, and also discussed the various ways to reduce the marginal cost of both buses and lines with constraints. Power world simulator employs linear programming method for finding optimal solution.

Key Words

OPF(Optimal power flow), power market, constraints, super areas, Power World Simulator.

Cite This Article

"Simulation of Power Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.753-760, June-2018, Available :http://www.jetir.org/papers/JETIRC006134.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

"Simulation of Power Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp753-760, June-2018, Available at : http://www.jetir.org/papers/JETIRC006134.pdf

Publication Details

Published Paper ID: JETIRC006134
Registration ID: 183773
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 753-760
Country: CHENNAI, TAMIL NADU, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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