Optimal Operation of Smart Houses by a Real-time Rolling Horizon Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Paterakis, NG (Author) Other; Pappi, IN (Author) Other; Catalao, JPS (Author) FEUP; Erdinc, O (Author) Other

Conference proceedings International

Title: 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM)

IEEE-Power-and-Energy-Society General Meeting (PESGM)

Boston, MA, JUL 17-21, 2016

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 9 Citations

Other information

Authenticus ID: P-00M-VRH

DOI: 10.1109/pesgm.2016.7741507

Abstract (EN): In this paper, a novel real-time rolling horizon optimization framework for the optimal operation of a smart household is presented. A home energy management system (HEMS) model based on mixed-integer linear programming (MILP) is developed in order to minimize the energy procurement cost considering that the household is enrolled in a dynamic pricing tariff scheme. Several assets such as a photovoltaic (PV) installation, an electric vehicle (EV) and controllable appliances are considered. Additionally, the energy from the PV and the EV can be used either to satisfy the household demand or can be sold back to the grid. The uncertainty of the PV production is estimated using time-series models and performing forecasts on a rolling basis. Also, appropriate distribution is used in order to model the uncertainty related to the EV. Besides, several parameters can be updated in real-time in order to reflect changes in demand and consider the end-user's preferences. The optimization algorithm is executed on a regular basis in order to improve the results against uncertainty.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5