Volume 9, Number 14, November 2019

A Genetic Algorithm Approach to Optimize Dispatching for A Microgrid Energy System
with Renewable Energy Sources

  Authors

Sajib Sen¹, Kishor Datta Gupta¹, Subash Poudyal¹ and Md Manjurul Ahsan², ¹University of Memphis, USA and ²Lamar University, USA

  Abstract

Distributed network reconfiguration techniques are used widely to optimize power distribution systems. As renewable energy generation are very stochastic in nature, network reconfiguration with this stochastic nature does not provide the optimal solution. To address this problem a threeobjective genetic algorithm approach has been taken in this project to find the optimal solution of energy scheduling throughout a day, simultaneously using the concept of network reconfiguration. In this research paper, we have applied a genetic algorithm approach, in order to optimize dispatching power with reconfiguring the network and scheduling the power sources. Our proposed methods shows that, it is possible to get 1MW less line lose compared to general condition.

  Keywords

Micro grid, Genetic algorithm, Power distribution, Network reconfiguration

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