Context-Aware Cluster-Based Multi-Uncertainty-Set Distributionally Robust Chance-Constrained Optimal DC Power Flow
This paper proposes a context-aware multi-uncertainty-set distributionally robust chanceconstrained DC optimal power flow model. Meteorological features are projected to partition the non-convex error support into a context-dependent decomposition of conditional local ambiguity sets, with conditional weights inferred via kernel regression. The minimax problem is reformulated into a finite-dimensional second-order cone program with proven asymptotic consistency. … Read more