Title
Optimization of Charging Strategies for Electric Vehicles in PowerMatcher-Driven Smart Energy Grids
Abstract
A crucial challenge in future smart energy grids is the large-scale coordination of distributed energy demand and generation. The well-known PowerMatcher is a promising approach that integrates demand and supply flexibility in the operation of the electricity system through dynamic pricing and a hierarchical bidding coordination scheme. However, as the PowerMatcher focuses on short-term coordination of demand and supply, it cannot fully exploit the flexibility of e.g. electric vehicles over longer periods of time. In this paper, we propose an extension of the PowerMatcher comprising a planning module, which provides coordinated predictions of demand/price over longer times as input to the users for determining their short-term bids. The optimal short-term bidding strategy minimizing a user's costs is then formulated as a Stochastic Dynamic Programming (SDP) problem. We derive an analytic solution for this SDP problem leading to a simple short-term bidding strategy. Numerical results using real-world data show a substantial performance improvement compared to the standard PowerMatcher, without significant additional complexity.
Year
DOI
Venue
2015
10.4108/eai.4-1-2016.151091
VALUETOOLS'15 Proceedings of the 9th EAI International Conference on Performance Evaluation Methodologies and Tools
DocType
ISBN
Citations 
Conference
978-1-63190-096-9
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Pia Kempker100.34
Nico van Dijk200.34
Werner R. W. Scheinhardt3619.19
Hans van den Berg416925.01
Johann L. Hurink515421.00