A modified Lyapunov drift-plus-cost method is combined with consensus ADMM to clear a real-time P2P energy market with storage and network constraints, claiming a bounded optimality gap and 53.1% cost savings over greedy trading.
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Online distributed optimization for spatio-temporally constrained real-time peer-to-peer energy trading
A modified Lyapunov drift-plus-cost method is combined with consensus ADMM to clear a real-time P2P energy market with storage and network constraints, claiming a bounded optimality gap and 53.1% cost savings over greedy trading.