An uncertainty-aware online planning algorithm for the sustainable electrification of festivals

Iliana Pappi, Tim Baarslag, Michael Kaisers, Nikolaos G. Paterakis

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

TaalEngels
Titel2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie978-1-5386-5326-5
ISBN van geprinte versie978-1-5386-5327-2
DOI's
StatusGepubliceerd - 17 okt 2018
Evenement2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Sevilla, Spanje
Duur: 10 sep 201812 sep 2018

Congres

Congres2018 International Conference on Smart Energy Systems and Technologies, SEST 2018
LandSpanje
StadSevilla
Periode10/09/1812/09/18

Vingerafdruk

Planning
Grid
Stochastic programming
Uncertainty
Energy storage
Connection Problem
Generator
Renewable Energy
Energy Storage
Stochastic Programming
Storage System
Energy Efficient
Costs
Resources
Methodology
Energy

Trefwoorden

    Citeer dit

    Pappi, I., Baarslag, T., Kaisers, M., & Paterakis, N. G. (2018). An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. In 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings [8495825] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/SEST.2018.8495825
    Pappi, Iliana ; Baarslag, Tim ; Kaisers, Michael ; Paterakis, Nikolaos G./ An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings. Piscataway : Institute of Electrical and Electronics Engineers, 2018.
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    title = "An uncertainty-aware online planning algorithm for the sustainable electrification of festivals",
    abstract = "Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.",
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    author = "Iliana Pappi and Tim Baarslag and Michael Kaisers and Paterakis, {Nikolaos G.}",
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    Pappi, I, Baarslag, T, Kaisers, M & Paterakis, NG 2018, An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. in 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings., 8495825, Institute of Electrical and Electronics Engineers, Piscataway, Sevilla, Spanje, 10/09/18. DOI: 10.1109/SEST.2018.8495825

    An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. / Pappi, Iliana; Baarslag, Tim; Kaisers, Michael; Paterakis, Nikolaos G.

    2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings. Piscataway : Institute of Electrical and Electronics Engineers, 2018. 8495825.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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    N2 - Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

    AB - Energy efficient festival electrification can be viewed as a middle-consumption problem, standing between smart household applications and larger commercial consumers. The optimal deployment of different resources, such as local renewable energy production (RES), diesel generators (DG) and energy storage systems (ESS) may bring about significant financial gain for the organizer, and is usually framed as an off-grid or limited grid-connection problem. This makes online planning particularly challenging due to the uncertainty related to the RES production, constraints regarding the operation of the diesel generators and limitations of the grid connection. In this paper a new online planning algorithm based on two-stage stochastic programming is proposed in order to address the aforementioned challenges and provide minimal-cost, uninterrupted, and sustainable electrification of festivals under dynamically priced grid energy. Data based on real festival events are used in order to illustrate the effectiveness of the proposed methodology.

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    KW - renewable energy

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    Pappi I, Baarslag T, Kaisers M, Paterakis NG. An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. In 2018 International Conference on Smart Energy Systems and Technologies, SEST 2018 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers. 2018. 8495825. Beschikbaar vanaf, DOI: 10.1109/SEST.2018.8495825