Modeling and Managing Energy Flexibility Using FlexOffers

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)

Resumé

The recent spread of distributed renewable energy sources and smart IoT devices offer exciting new possibilities for the use of energy flexibility, opening a new era of the so-called bottom-up or cellular energy systems. In order to harness the full potential of flexibility, flexibility has to be modeled and represented in a manner that can be efficiently managed, manipulated, and traded on a market. In this paper, we provide a comprehensive overview of the FlexOffer concept, which offers an effective way of modeling and managing energy demand and supply flexibilities from a wide range of flexible resources and their aggregates. First, we define the basic concept and present the different phases of the FlexOffer life-cycle. Then, we discuss more advanced internal FlexOffer constraints as well as algorithms for FlexOffer generation, aggregation, disaggregation, and pricing that can significantly reduce energy management and trading complexities and increase overall efficiency. Finally, we present a general decentralized system architecture for trading flexibility (FlexOffers) in existing and new markets. Our experimental results show that (1) FlexOffers can be extracted with up to 98% accuracy, (2) aggregation and disaggregation can scale to 1000K FlexOffers and more, and (3) flexibility can be traded in the NordPool flexi order market while providing up to 89.9% (of optimal) reduction in the energy cost.
OriginalsprogEngelsk
TitelIEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids : SmartGridComm 2018
Antal sider7
ForlagIEEE
Publikationsdato29 okt. 2018
Sider1-7
ISBN (Elektronisk)978-1-5386-7954-8
DOI
StatusUdgivet - 29 okt. 2018
BegivenhedIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18) - Hotel Hvide Hus Comwell, Aalborg, Danmark
Varighed: 29 okt. 201831 okt. 2018
http://sgc2018.ieee-smartgridcomm.org/

Konference

KonferenceIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)
LokationHotel Hvide Hus Comwell
LandDanmark
ByAalborg
Periode29/10/201831/10/2018
Internetadresse

Fingerprint

Agglomeration
Energy management
Costs
Life cycle
Internet of things

Citer dette

Pedersen, T. B., Siksnys, L., & Neupane, B. (2018). Modeling and Managing Energy Flexibility Using FlexOffers. I IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids: SmartGridComm 2018 (s. 1-7). IEEE. https://doi.org/10.1109/SmartGridComm.2018.8587605
Pedersen, Torben Bach ; Siksnys, Laurynas ; Neupane, Bijay. / Modeling and Managing Energy Flexibility Using FlexOffers. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids: SmartGridComm 2018. IEEE, 2018. s. 1-7
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title = "Modeling and Managing Energy Flexibility Using FlexOffers",
abstract = "The recent spread of distributed renewable energy sources and smart IoT devices offer exciting new possibilities for the use of energy flexibility, opening a new era of the so-called bottom-up or cellular energy systems. In order to harness the full potential of flexibility, flexibility has to be modeled and represented in a manner that can be efficiently managed, manipulated, and traded on a market. In this paper, we provide a comprehensive overview of the FlexOffer concept, which offers an effective way of modeling and managing energy demand and supply flexibilities from a wide range of flexible resources and their aggregates. First, we define the basic concept and present the different phases of the FlexOffer life-cycle. Then, we discuss more advanced internal FlexOffer constraints as well as algorithms for FlexOffer generation, aggregation, disaggregation, and pricing that can significantly reduce energy management and trading complexities and increase overall efficiency. Finally, we present a general decentralized system architecture for trading flexibility (FlexOffers) in existing and new markets. Our experimental results show that (1) FlexOffers can be extracted with up to 98{\%} accuracy, (2) aggregation and disaggregation can scale to 1000K FlexOffers and more, and (3) flexibility can be traded in the NordPool flexi order market while providing up to 89.9{\%} (of optimal) reduction in the energy cost.",
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Pedersen, TB, Siksnys, L & Neupane, B 2018, Modeling and Managing Energy Flexibility Using FlexOffers. i IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids: SmartGridComm 2018. IEEE, s. 1-7, Aalborg, Danmark, 29/10/2018. https://doi.org/10.1109/SmartGridComm.2018.8587605

Modeling and Managing Energy Flexibility Using FlexOffers. / Pedersen, Torben Bach; Siksnys, Laurynas; Neupane, Bijay.

IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids: SmartGridComm 2018. IEEE, 2018. s. 1-7.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Pedersen TB, Siksnys L, Neupane B. Modeling and Managing Energy Flexibility Using FlexOffers. I IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids: SmartGridComm 2018. IEEE. 2018. s. 1-7 https://doi.org/10.1109/SmartGridComm.2018.8587605