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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Distribution Network Reconfiguration Under Uncertainties In Load And Renewable Generation Forecast

[Full Text]

 

AUTHOR(S)

Arjun Tyagi, Krishan Kumar, Kamaldeep, Nitin Tyagi and Vinaya Rana

 

KEYWORDS

Boundary power flow, distribution network, forecast, optimization, reconfiguration, renewable generation, uncertainties.

 

ABSTRACT

Nowadays, forecasted data for load and renewable generation is available with a very short time interval. These load and renewable generation forecasts always have uncertainties. Hence, in the presence of renewable-based distributed generations, conventional approaches of reconfiguration may not be effective. Very few efforts in a probabilistic manner exist to perform these types of uncertainties. It requires the historical database to be presented. It is still a challenge to account for the haphazard uncertainties. Hence, the uncertainties in load and forecasts of renewable generation are considered in this work and the optimal reconfiguration of the distribution network is proposed.

 

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