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- W2898646904 abstract "This paper presents a decentralized control strategy for the scheduling of energy activities of interconnected smart homes that purchase energy from a supplier while exchanging renewable energy produced by individually owned distributed energy resources. The scheduling problem is solved with a twofold design objective. First, the model aims at reducing the overall energy supply from the grid, by allowing users to borrow/lend some amount of renewable energy from/to other users. Second, the problem is formulated to optimally plan users' controllable loads. We assume a time-varying quadratic pricing of the energy purchased from the distribution network. The proposed solution is based on a decentralized optimization algorithm combining parametric optimization with the proximal Jacobian Alternating Direction Method of Multipliers. The application of the proposed technique to a simulated case study under several scenarios shows its effectiveness." @default.
- W2898646904 created "2018-11-09" @default.
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- W2898646904 date "2018-08-01" @default.
- W2898646904 modified "2023-10-15" @default.
- W2898646904 title "A Decentralized Control Strategy for the Energy Management of Smart Homes with Renewable Energy Exchange" @default.
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- W2898646904 doi "https://doi.org/10.1109/ccta.2018.8511617" @default.
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