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.
|Titolo:||Cooperative Distributed Control for the Energy Scheduling of Smart Homes with Shared Energy Storage and Renewable Energy Source|
|Data di pubblicazione:||2017|
|Nome del convegno:||20th World Congress of the International-Federation-of-Automatic-Control (IFAC)|
|Digital Object Identifier (DOI):||10.1016/j.ifacol.2017.08.1544|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|