Maximizing Storage Flexibility in an Aggregated Heat Pump Portfolio

Tom S. Pedersen; Kirsten M. Nielsen; Palle Andersen

doi:10.1109/CCA.2014.6981360

Maximizing Storage Flexibility in an Aggregated Heat Pump Portfolio

Tom S. Pedersen, Kirsten M. Nielsen, Palle Andersen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

6 Citations (Scopus)

Abstract

To balance the electrical grid due to a large increase in the renewable energy production mainly from wind turbines will be a problem in the near future in Denmark. Smart grid solutions with new storage capacities are essential. In this work single family houses with heat pumps are investigated for storage capability. It is of great importance to move energy consumption in time to balance the grid. In this paper a portfolio of houses are modelled and controlled using an aggregated model and a model free scheduling algorithm. Flexibility and ability to trade on the intra-day regulating market is increased by use of a novel algorithm.

Original language	English
Title of host publication	Control Applications (CCA), 2014 IEEE Conference on
Publisher	IEEE Press
Publication date	2014
Pages	286 - 291
ISBN (Print)	978-1-4799-7408-5
DOIs	https://doi.org/10.1109/CCA.2014.6981360
Publication status	Published - 2014
Event	2014 IEEE Conference on Control Applications - Juan Les Antibes, France Duration: 8 Oct 2014 → 10 Oct 2014 Conference number: 35444

Conference

Conference	2014 IEEE Conference on Control Applications
Number	35444
Country/Territory	France
City	Juan Les Antibes
Period	08/10/2014 → 10/10/2014

Series	I E E E International Conference on Control Applications. Proceedings
ISSN	1085-1992

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10.1109/CCA.2014.6981360

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title = "Maximizing Storage Flexibility in an Aggregated Heat Pump Portfolio",

abstract = "To balance the electrical grid due to a large increase in the renewable energy production mainly from wind turbines will be a problem in the near future in Denmark. Smart grid solutions with new storage capacities are essential. In this work single family houses with heat pumps are investigated for storage capability. It is of great importance to move energy consumption in time to balance the grid. In this paper a portfolio of houses are modelled and controlled using an aggregated model and a model free scheduling algorithm. Flexibility and ability to trade on the intra-day regulating market is increased by use of a novel algorithm.",

author = "Pedersen, {Tom S.} and Nielsen, {Kirsten M.} and Palle Andersen",

year = "2014",

doi = "10.1109/CCA.2014.6981360",

language = "English",

isbn = "978-1-4799-7408-5",

series = "I E E E International Conference on Control Applications. Proceedings",

publisher = "IEEE Press",

pages = "286 -- 291",

booktitle = "Control Applications (CCA), 2014 IEEE Conference on",

note = "2014 IEEE Conference on Control Applications, CCA ; Conference date: 08-10-2014 Through 10-10-2014",

}

Pedersen, TS, Nielsen, KM & Andersen, P 2014, Maximizing Storage Flexibility in an Aggregated Heat Pump Portfolio. in Control Applications (CCA), 2014 IEEE Conference on. IEEE Press, I E E E International Conference on Control Applications. Proceedings, pp. 286 - 291, 2014 IEEE Conference on Control Applications, Juan Les Antibes, France, 08/10/2014. https://doi.org/10.1109/CCA.2014.6981360

Maximizing Storage Flexibility in an Aggregated Heat Pump Portfolio. / Pedersen, Tom S.; Nielsen, Kirsten M.; Andersen, Palle.
Control Applications (CCA), 2014 IEEE Conference on. IEEE Press, 2014. p. 286 - 291 (I E E E International Conference on Control Applications. Proceedings).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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N2 - To balance the electrical grid due to a large increase in the renewable energy production mainly from wind turbines will be a problem in the near future in Denmark. Smart grid solutions with new storage capacities are essential. In this work single family houses with heat pumps are investigated for storage capability. It is of great importance to move energy consumption in time to balance the grid. In this paper a portfolio of houses are modelled and controlled using an aggregated model and a model free scheduling algorithm. Flexibility and ability to trade on the intra-day regulating market is increased by use of a novel algorithm.

AB - To balance the electrical grid due to a large increase in the renewable energy production mainly from wind turbines will be a problem in the near future in Denmark. Smart grid solutions with new storage capacities are essential. In this work single family houses with heat pumps are investigated for storage capability. It is of great importance to move energy consumption in time to balance the grid. In this paper a portfolio of houses are modelled and controlled using an aggregated model and a model free scheduling algorithm. Flexibility and ability to trade on the intra-day regulating market is increased by use of a novel algorithm.

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DO - 10.1109/CCA.2014.6981360

M3 - Article in proceeding

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T3 - I E E E International Conference on Control Applications. Proceedings

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BT - Control Applications (CCA), 2014 IEEE Conference on

PB - IEEE Press

T2 - 2014 IEEE Conference on Control Applications

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ER -

Maximizing Storage Flexibility in an Aggregated Heat Pump Portfolio

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