Aggregation model for curtailable generation and sheddable loads

Håkon Marthinsen; Andrei Z. Morch; Milana Plećaš; Ivana Kockar; Mario Džamarija

doi:10.1049/oap-cired.2017.0994

Aggregation model for curtailable generation and sheddable loads

Håkon Marthinsen
, Andrei Z. Morch
, Milana Plećaš
, Ivana Kockar
, Mario Džamarija

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

This study shows modelling developed during the first year of the SmartNet project. In particular, it presents a mathematical model for aggregation of curtailable generation and sheddable loads. The model determines the quantity and the cost of the flexibility provided by the flexible resources based on their physical and dynamic behaviours. The model also proposes a bidding strategy in order to translate the aggregated behaviour into market bids.

Original language	English
Journal	Cired - Open Access Proceedings Journal
Volume	2017
Issue number	1
Pages (from-to)	1562-1566
ISSN	2515-0855
DOIs	https://doi.org/10.1049/oap-cired.2017.0994
Publication status	Published - 2017
Event	24th International Conference on Electricity Distribution - Scottish Event Campus, Glasgow, United Kingdom Duration: 12 Jun 2017 → 15 Jun 2017 http://www.cired-2017.org/

Conference

Conference	24th International Conference on Electricity Distribution
Location	Scottish Event Campus
Country/Territory	United Kingdom
City	Glasgow
Period	12/06/2017 → 15/06/2017
Internet address	http://www.cired-2017.org/

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This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

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10.1049/oap-cired.2017.0994

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title = "Aggregation model for curtailable generation and sheddable loads",

abstract = "This study shows modelling developed during the first year of the SmartNet project. In particular, it presents a mathematical model for aggregation of curtailable generation and sheddable loads. The model determines the quantity and the cost of the flexibility provided by the flexible resources based on their physical and dynamic behaviours. The model also proposes a bidding strategy in order to translate the aggregated behaviour into market bids.",

author = "Håkon Marthinsen and Morch, \{Andrei Z.\} and Milana Ple{\'c}a{\v s} and Ivana Kockar and Mario D{\v z}amarija",

note = "This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/); 24th International Conference on Electricity Distribution , CIRED 2017 ; Conference date: 12-06-2017 Through 15-06-2017",

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AU - Morch, Andrei Z.

AU - Plećaš, Milana

AU - Kockar, Ivana

AU - Džamarija, Mario

N1 - This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

PY - 2017

Y1 - 2017

N2 - This study shows modelling developed during the first year of the SmartNet project. In particular, it presents a mathematical model for aggregation of curtailable generation and sheddable loads. The model determines the quantity and the cost of the flexibility provided by the flexible resources based on their physical and dynamic behaviours. The model also proposes a bidding strategy in order to translate the aggregated behaviour into market bids.

AB - This study shows modelling developed during the first year of the SmartNet project. In particular, it presents a mathematical model for aggregation of curtailable generation and sheddable loads. The model determines the quantity and the cost of the flexibility provided by the flexible resources based on their physical and dynamic behaviours. The model also proposes a bidding strategy in order to translate the aggregated behaviour into market bids.

U2 - 10.1049/oap-cired.2017.0994

DO - 10.1049/oap-cired.2017.0994

M3 - Conference article

SN - 2515-0855

VL - 2017

SP - 1562

EP - 1566

JO - Cired - Open Access Proceedings Journal

JF - Cired - Open Access Proceedings Journal

IS - 1

T2 - 24th International Conference on Electricity Distribution

Y2 - 12 June 2017 through 15 June 2017

ER -

Aggregation model for curtailable generation and sheddable loads

Abstract

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