A Novel Stochastic Framework Based on Cloud Theory and $\theta $ -Modified Bat Algorithm to Solve the Distribution Feeder Reconfiguration

@article{KavousiFard2016ANS,
  title={A Novel Stochastic Framework Based on Cloud Theory and  \$\theta \$ -Modified Bat Algorithm to Solve the Distribution Feeder Reconfiguration},
  author={Abdollah Kavousi-Fard and Taher Niknam and Mahmud Fotuhi-Firuzabad},
  journal={IEEE Transactions on Smart Grid},
  year={2016},
  volume={7},
  pages={740-750}
}
Distribution feeder reconfiguration (DFR) is a precious operation strategy that can improve the system from different aspects including total cost, reliability, and power quality. Nevertheless, the high complexity of the new smart grids has resulted in much uncertainty in the DFR problem that necessities the use of a sufficient stochastic framework to deal with them. In this way, this paper proposes a new stochastic framework based on cloud theory to account the uncertainties associated with… CONTINUE READING

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Bat algorithm with triangle-flipping strategy for numerical optimization

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