DocumentCode
1988464
Title
Energy optimization in an eco-district with electric vehicles smart charging
Author
Xuan-Linh Dang ; Petit, Marc ; Codani, Paul
Author_Institution
Group of Electr. Eng. Paris (GEEPS), UPMC, Gif-sur-Yvette, France
fYear
2015
fDate
June 29 2015-July 2 2015
Firstpage
1
Lastpage
6
Abstract
The energy modeling of an eco-district, composed of residential and commercial facilities, is proposed. First, an optimal strategy aiming at sizing the rated power of the substation transformer is introduced. Then, considering the introduction of photovoltaic (PV) panels and electric vehicles (EV) in the district, the new operating conditions of the transformer are detailed. In order to reduce (a) the peak power of the transformer and (b) the cumulative durations of the transformer overloading periods, an Energy Management System (EMS) is implemented. The latter uses the district EVs, which have Vehicle-to-grid (V2G) capabilities, as flexibility providing units. An economics layer is added in order to compute the electricity costs considering the French pricing. This approach is used to deduce the optimal contracted power with the local system operator. Results show a reduction of 70% in overloading durations, 71% in average overloading power, and 17% in electricity costs with the EMS.
Keywords
costing; district heating; energy management systems; hybrid electric vehicles; photovoltaic power systems; power generation economics; pricing; smart power grids; transformer substations; EMS; French pricing; V2G technology; eco-district energy modeling; economics layer; electric vehicle smart charging; electricity cost estimation; energy management system; energy optimisation; optimal contracted power; overloading power; peak power reduction; photovoltaic panel; rated power sizing; substation transformer; transformer overloading period; vehicle-to-grid technology; Cooling; Energy management; Pricing; Production; Substations; Energy Management System; Micro-grid; Smart Charging; Vehicle-To-Grid;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech, 2015 IEEE Eindhoven
Conference_Location
Eindhoven
Type
conf
DOI
10.1109/PTC.2015.7232574
Filename
7232574
Link To Document