UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1809836


Registration ID:
188508

Page Number

280-285

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Title

Power System State Estimation using Artificial bee Colony(iABC)-WLS Technique

Abstract

The electrical network measurements data are generally sent to the control centers via specific communication protocols. However, the measurements data have uncertainties due to meters and communication error (noise). The aim of state estimation to estimate the state variables of power system by minimizing all measurement errors present at control center. In this paper we discusses the application of an, improved Artificial Bee colony algorithm optimization (improved ABC)-Weight least square method and its effectiveness over other AI optimization algorithm, Particle swarm optimization (PSO), is shown by comparing both the solution. The true state variable values obtained by using Newton- Raphson (NR) algorithm.

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"Power System State Estimation using Artificial bee Colony(iABC)-WLS Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.280-285, September-2018, Available :http://www.jetir.org/papers/JETIR1809836.pdf

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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

"Power System State Estimation using Artificial bee Colony(iABC)-WLS Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp280-285, September-2018, Available at : http://www.jetir.org/papers/JETIR1809836.pdf

Publication Details

Published Paper ID: JETIR1809836
Registration ID: 188508
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 280-285
Country: DANAPUR CANTT, Bihar, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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