Applying multi-objective RL (DOL plus MOPPO) to power grid topology control yields a set of trade-off policies on a 5-bus Grid2Op testbed, with some robustness and training-efficiency improvements over single-objective RL, though the evaluation has methodological weaknesses.
An optimal transmission line switching and bus splitting heuristic incorporating ac and n-1 contingency constraints,
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Multi-Objective Reinforcement Learning for Power Grid Topology Control
Applying multi-objective RL (DOL plus MOPPO) to power grid topology control yields a set of trade-off policies on a 5-bus Grid2Op testbed, with some robustness and training-efficiency improvements over single-objective RL, though the evaluation has methodological weaknesses.