Statistical Learning for DC Optimal Power Flow

  title={Statistical Learning for DC Optimal Power Flow},
  author={Yeesian Ng and Sidhant Misra and Line A. Roald and Scott N. Backhaus},
  journal={2018 Power Systems Computation Conference (PSCC)},
The optimal power flow problem plays an important role in the market clearing and operation of electric power systems. However, with increasing uncertainty from renewable energy operation, the optimal operating point of the system changes more significantly in real-time. In this paper, we aim at developing control policies that are able to track the optimal set-point with high probability. The approach is based on the observation that the OPF solution corresponding to a certain uncertainty… 

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