This is a large optimization problem with variables for consumption or generation for each device, power flow for each line, and voltage phase angles at AC buses in each period. We develop a decentralized method for solving this problem called proximal message passing. The method is iterative: At each step, each device exchanges simple messages with its neighbors in the network and then solves its own optimization problem, minimizing its own objective. Dynamic Network Energy Management via Proximal Message Passing presents a fully decentralized method for dynamic network energy management based on message passing between devices. It considers a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with.
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