UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRC006442


Registration ID:
186848

Page Number

721-727

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Title

Electric Power Generation Modelling By Using Decimal to Binay Conversion and Genetic Algorithm Technique

Abstract

Generation system reliability assessment is a vital factor for planning the power system that can be performed by using probabilistic or deterministic methods. The probabilistic techniques have more advantages over deterministic methods. However, Probabilistic method involves complicated modelling. Generation modelling is a basic requirement for the assessment of reliability of the system. One known form of the generation model is the Capacity Outage Probability Table (COPT). This paper analyses the different techniques involved in developing COPT such as Decimal to Binary Conversion(DBC) and Genetic Algorithm(GA). The COPT is obtained from two techniques are found to be comparable. The techniques used are proven to be an effective approach to build the generation model.

Key Words

Decimal to Binary; Genetic-Algorithm; Capacity Outage Probability Table.

Cite This Article

"Electric Power Generation Modelling By Using Decimal to Binay Conversion and Genetic Algorithm Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.721-727, August-2018, Available :http://www.jetir.org/papers/JETIRC006442.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

"Electric Power Generation Modelling By Using Decimal to Binay Conversion and Genetic Algorithm Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp721-727, August-2018, Available at : http://www.jetir.org/papers/JETIRC006442.pdf

Publication Details

Published Paper ID: JETIRC006442
Registration ID: 186848
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 721-727
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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