• Corpus ID: 238856779

A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources

@article{Zhang2021ADP,
  title={A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources},
  author={Mingzhi Zhang and Xiangqi Zhu and Ning Lu},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.07406}
}
This paper presents a data-driven, distributionally robust chance-constrained optimization method for estimating the real and reactive power controllability of aggregated distributed energy resources (DER). At the DER-level, a twodimensional flexibility region can be formed based on the real and reactive power regulating limits of each DER considering forecast uncertainty. At the feeder-level, an aggregated flexibility region is computed via a multi-directional search method. In each search… 

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