Data-Driven Planning for Renewable Distributed Generation Integration

@article{Fathabad2020DataDrivenPF,
  title={Data-Driven Planning for Renewable Distributed Generation Integration},
  author={Abolhassan Mohammadi Fathabad and Jianqiang Cheng and K. Pan and F. Qiu},
  journal={IEEE Transactions on Power Systems},
  year={2020},
  volume={35},
  pages={4357-4368}
}
As significant amounts of renewable distributed generation (RDG) are installed in the power grid, it becomes increasingly important to plan RDG integration to maximize the utilization of renewable energy and mitigate unintended consequences, such as phase unbalance. One of the biggest challenges in RDG integration planning is the lack of sufficient information to characterize uncertainty (e.g., load and renewable output). In this paper, we propose a two-stage data-driven distributionally robust… Expand

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