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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
DISTRIBUTION POWER NETWORK RECONFIGURATION IN THE SMART GRID
Authors
K Rajanikanth, Dr. Narendra Sharma
Keywords
Smart Grid, Distribution Network Reconfiguration, Distribution Network Reconfiguration Algorithm, Intelligent Network, "R" Language, Modeling, Artificial Intelligence, MachineLearning,HATSGA.
Abstract
The power network reconfiguration algorithm with an "R" modeling approach evaluates itsbehavior in computing new reconfiguration topologies for the power grid in the context of theSmart Grid. The power distribution network modeling with the "R" language is used torepresent the network and support computation of different algorithm configurations for theevaluation of new reconfiguration topologies. This work presents a reconfiguration solution of distribution networks, with a construction of analgorithm that receiving the network configuration data and the nodal measurements and from these data build a radial network,after this and using a branch exchange algorithm And verifying the best configuration of thenetwork through artificial intelligence, so that there are no unnecessary changes during theoperation, and applied an algorithm that analyses the load levels, to suggest changes in thenetwork.
IJCRT's Publication Details
Unique Identification Number - IJCRT2201637
Paper ID - 224950
Page Number(s) - f677-f686
Pubished in - Volume 10 | Issue 1 | January 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
K Rajanikanth, Dr. Narendra Sharma, "DISTRIBUTION POWER NETWORK RECONFIGURATION IN THE SMART GRID", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 1, pp.f677-f686, January 2022, Available at :http://www.ijcrt.org/papers/IJCRT2201637.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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