A neural network approximates the second-stage recourse model in two-stage stochastic Volt-VAR optimization, allowing the full problem to be solved as a mixed-integer linear program with over 50x speedup and sub-0.3% optimality gap on a 123-bus test system.
A bi-level consensus ADMM-based fully distributed inverter-based V olt/Var control method for active distribution networks,
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Neural Two-Stage Stochastic Volt-VAR Optimization for Three-Phase Unbalanced Distribution Systems with Network Reconfiguration
A neural network approximates the second-stage recourse model in two-stage stochastic Volt-VAR optimization, allowing the full problem to be solved as a mixed-integer linear program with over 50x speedup and sub-0.3% optimality gap on a 123-bus test system.