As the last link of an integrated future energy system, the smart home energy management system (HEMS) is critical for a prosumer to intelligently and conveniently manage the use of their domestic appliances, renewable energies (RES) generation, energy storage system (ESS), and electric vehicle (EV). In this paper, we propose a holistic model to center the preference of users when scheduling the involved physical equipment of different natures. Further, a dedicatedly designed charging and discharging strategy for both the ESS and EV considering their capital cost is proposed to integrate them into the HEMS for providing a better flexibility and economic advantages as well as to prolong the life of the batteries. Based on the mixed integer linear programming (MILP) and the proposed model, the energy schedule of the smart home can be derived to guarantee both the lowest cost and the comfort for the users. An illustrative case study is employed to demonstrate the effectiveness of the proposed method.
Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle / Hou, X.; Wang, J.; Huang, T.; Wang, T.; Wang, P.. - In: IEEE ACCESS. - ISSN 2169-3536. - 7(2019), pp. 144010-144020.
|Titolo:||Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle|
|Data di pubblicazione:||2019|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/ACCESS.2019.2944878|
|Appare nelle tipologie:||1.1 Articolo in rivista|