Smart integration of electric vehicles in an energy community

Smart integration of electric vehicles in an energy community

Negeri, E.
Baken, N.

Electrical Engineering, Mathematics and Computer Science

Network Architectures and Services (NAS) Group

2012-04-20

With increasing penetrations of renewable distributed generations (DGs) and electrified vehicles (EVs), the volatility of the renewable sources and the huge load of the EVs induce tremendous challenges for the power grid. The two technologies also have considerable synergetic potential to alleviate these challenges if they are intelligently coordinated. The aim of this paper is to investigate how the (dis)charging of EVs could be intelligently coordinated with the production of the local DGs to reduce the peak load on the power grid. We consider a neighborhood energy community that is composed of prosumer households. Three EV (dis)charging scenarios are compared: the dumb strategy where all EVs are charged for the next commute as soon as they return from the previous commute, the centralized (dis)charging strategy where the EVs are managed by a centralized scheduling unit, and the distributed (dis)charging strategy where the households autonomously schedule their EVs while coordination is achieved through providing dynamic pricing based incentives. Our simulation results show that the distributed and centralized charging strategies can reduce the peak load up to 44.9% and 75.1%, respectively, compared to the dumb charging strategy. Moreover, the relative performance of the algorithms with respect to environmental values.

Smart Grid
Load Balancing
Distributed Generation
Electric Vehicle

http://resolver.tudelft.nl/uuid:06fa08da-5df2-486f-9bec-31cd9568d29b

https://doi.org/10.5220/0003952400250032

SciTePress

9789898565099

Proceedings of the 1st International Conference on Smart Grids and Green IT Systems, 19-20 Apr 2012, Porto, Portugal

Institutional Repository

conference paper

Negeri, E.
Baken, N.