Abstract: To cope with increasing uncertainty from renewable generation and flexible load, grid operators need to solve alternative current optimal power flow (AC-OPF) problems more frequently for ...
Abstract: We develop DeepOPF-Stoc as a neural network approach to efficiently solve the two-stage stochastic AC optimal power flow (AC-OPF) problem, which emphasizes reliable and cost-effective grid ...