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.

A Decentralized Control Strategy for the Energy Management of Smart Homes with Renewable Energy Exchange / Carli, Raffaele; Dotoli, Mariagrazia. - ELETTRONICO. - (2018), pp. 1662-1667. (Intervento presentato al convegno IEEE Conference on Control Technology and Applications, CCTA 2018 tenutosi a Copenhagen, Denmark nel August 21-24, 2018) [10.1109/CCTA.2018.8511617].

A Decentralized Control Strategy for the Energy Management of Smart Homes with Renewable Energy Exchange

Raffaele Carli;Mariagrazia Dotoli
2018-01-01

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.
2018
IEEE Conference on Control Technology and Applications, CCTA 2018
978-1-5386-7698-1
A Decentralized Control Strategy for the Energy Management of Smart Homes with Renewable Energy Exchange / Carli, Raffaele; Dotoli, Mariagrazia. - ELETTRONICO. - (2018), pp. 1662-1667. (Intervento presentato al convegno IEEE Conference on Control Technology and Applications, CCTA 2018 tenutosi a Copenhagen, Denmark nel August 21-24, 2018) [10.1109/CCTA.2018.8511617].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/150475
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