Journal
IFAC PAPERSONLINE
Volume 50, Issue 1, Pages 8867-8872Publisher
ELSEVIER
DOI: 10.1016/j.ifacol.2017.08.1544
Keywords
Smart Grids; Energy and Distribution Management Systems; Energy Storage Operation and Planning; Large scale optimization problems; Decentralized and Distributed Control
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Funding
- European Regional Development Fund in the Apulian Technology Clusters SMARTPUGLIA program
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This paper presents a distributed control technique for the energy scheduling of a group of interconnected smart city residential users. The proposed model aims at a simultaneous cost-optimal planning of users' controllable appliances and of the shared storage system charge/discharge and renewable energy source. The distributed control algorithm is based on an iterative procedure combining parametric optimization with the block coordinate descent method. A realistic case study simulated in different scenarios demonstrates that the approach allows fully exploiting the potential of storage systems sharing to reduce individual users' energy consumption costs and limit the peak average ratio of the energy profiles. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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