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  • 标题:A Genetic Algorithm Approach to Optimize Dispatching for A Microgrid EnergySystem with Renewable Energy Sources
  • 本地全文:下载
  • 作者:Sajib Sen ; Kishor Datta Gupta ; Subash Poudyal
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2019
  • 卷号:9
  • 期号:14
  • 页码:1-9
  • DOI:10.5121/csit.2019.91401
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要: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.
  • 关键词:Micro grid; Genetic algorithm; Power distribution; Network reconfiguration
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