Scipediacontent: Scipediacontent moved page Draft Content 420965345 to Hurink et al 2015a

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Scipediacontent moved page Draft Content 420965345 to Hurink et al 2015a

Scipediacontent: Created page with " == Abstract == crucial challenge in future smart energy grids is the large-scale coordination of distributed energy demand and generation. The well-known PowerMatcher is a..."

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Created page with " == Abstract == crucial challenge in future smart energy grids is the large-scale coordination of distributed energy demand and generation. The well-known PowerMatcher is a..."

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== Abstract ==

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.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.4108/eai.4-1-2016.151091 http://dx.doi.org/10.4108/eai.4-1-2016.151091]

* [http://pdfs.semanticscholar.org/c44f/4a8e5a0291cd50c1629c7522c1f2a98106c9.pdf http://pdfs.semanticscholar.org/c44f/4a8e5a0291cd50c1629c7522c1f2a98106c9.pdf]

* [https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2F371b17cd-e8b5-453c-a111-d75c8ebcbd81 https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2F371b17cd-e8b5-453c-a111-d75c8ebcbd81],
: [https://research.utwente.nl/en/publications/optimization-of-charging-strategies-for-electric-vehicles-in-powe https://research.utwente.nl/en/publications/optimization-of-charging-strategies-for-electric-vehicles-in-powe],
: [https://eudl.eu/doi/10.4108/eai.4-1-2016.151091 https://eudl.eu/doi/10.4108/eai.4-1-2016.151091],
: [https://dl.acm.org/citation.cfm?id=2897439 https://dl.acm.org/citation.cfm?id=2897439],
: [https://academic.microsoft.com/#/detail/2286918271 https://academic.microsoft.com/#/detail/2286918271]

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Hurink et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 420965345 to Hurink et al 2015a

Scipediacontent: Created page with " == Abstract == crucial challenge in future smart energy grids is the large-scale coordination of distributed energy demand and generation. The well-known PowerMatcher is a..."