Author(s): S. P. Angelin Claret, M. Germanus Alex

Email(s): spangelin@rediffmail.com , angelin.s@ktr.srmuniv.ac.in , mgalxus@yahoo.com

DOI: 10.5958/0974-360X.2018.00157.9   

Address: S. P. Angelin Claret1,2,*, M. Germanus Alex3
1Research Scholar, Dept. of Computer Science, Bharathiar University, Coimbatore, India
2Assistant Professor, Dept. of Computer Science, SRM Institute of Science and Technology, Chennai, India
3Professor & HOD, Dept. of Computer Science, Kamarajar Govt. Arts College, Tirunelveli, India
*Corresponding Author

Published In:   Volume - 11,      Issue - 3,     Year - 2018


ABSTRACT:
The maximum and minimum demand on load from one process to another process is estimated by the component based optimization method. The main aim of optimization is to limit the cost of meeting the load demand and the cost of system. This paper emphases on the estimation of optimization in component based fault identification and rectification in power distribution system. The component based fault detection algorithm identifies the fault identified region and the component based fault injection algorithm shows the regular flow of power distribution. The results are expressed in matlab software and thus show the existence of fault in a specified voltage level. The optimization can be identified by the two fault algorithms which express the extreme and least flow of power from one region to other.


Cite this article:
S. P. Angelin Claret, M. Germanus Alex. Optimization in Component Based Fault Oriented Power Distribution System. Research J. Pharm. and Tech. 2018; 11(3): 847-850. doi: 10.5958/0974-360X.2018.00157.9

Cite(Electronic):
S. P. Angelin Claret, M. Germanus Alex. Optimization in Component Based Fault Oriented Power Distribution System. Research J. Pharm. and Tech. 2018; 11(3): 847-850. doi: 10.5958/0974-360X.2018.00157.9   Available on: https://rjptonline.org/AbstractView.aspx?PID=2018-11-3-4


Recomonded Articles:

Research Journal of Pharmacy and Technology (RJPT) is an international, peer-reviewed, multidisciplinary journal.... Read more >>>

RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

0.38
2018CiteScore
 
56th percentile
Powered by  Scopus


SCImago Journal & Country Rank


Recent Articles




Tags


Not Available