Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market

Nilufar Neyestani; Filipe J. Soares; Rui Alves; Francisco S. Reis; Ricardo Pastor

doi:10.1109/EEM.2017.7982007

Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market

Nilufar Neyestani, Filipe J. Soares, Rui Alves, Francisco S. Reis, Ricardo Pastor

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

1 Citaat (Scopus)

Samenvatting

Vast increase of renewable energy resources' (RER) share in total electricity production have led to evolving studies regarding different aspects of renewables integration. Other than their effects on network, the electricity markets are also affected by uncertain behavior of RERs in the market place. Hence, new approaches for market clearing are investigated. One of the possible solutions is the deployment of stochastic market clearing. However, the adaption of new market models should consider different market characteristics. As a result, this paper assesses the adaption of stochastic market in a hydro-penetrated system. The co-optimized energy and reserve schedule in the day-ahead time frame is derived using the mixed integer linear programming (MILP). The model is tested with Portuguese electricity market data as a real-case of hydro-penetrated system.

Originele taal-2	Engels
Titel	2017 14th International Conference on the European Energy Market, EEM 2017
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1-6
Aantal pagina's	6
ISBN van elektronische versie	978-1-5090-5499-2
DOI's	https://doi.org/10.1109/EEM.2017.7982007
Status	Gepubliceerd - 17 jul. 2017
Extern gepubliceerd	Ja
Evenement	14th International Conference on the European Energy Market, EEM 2017 - Dresden, Duitsland Duur: 6 jun. 2017 → 9 jun. 2017

Congres

Congres	14th International Conference on the European Energy Market, EEM 2017
Land/Regio	Duitsland
Stad	Dresden
Periode	6/06/17 → 9/06/17

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10.1109/EEM.2017.7982007

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@inproceedings{d1a6aa64a0c44f2fb5406876ada6be30,

title = "Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market",

abstract = "Vast increase of renewable energy resources' (RER) share in total electricity production have led to evolving studies regarding different aspects of renewables integration. Other than their effects on network, the electricity markets are also affected by uncertain behavior of RERs in the market place. Hence, new approaches for market clearing are investigated. One of the possible solutions is the deployment of stochastic market clearing. However, the adaption of new market models should consider different market characteristics. As a result, this paper assesses the adaption of stochastic market in a hydro-penetrated system. The co-optimized energy and reserve schedule in the day-ahead time frame is derived using the mixed integer linear programming (MILP). The model is tested with Portuguese electricity market data as a real-case of hydro-penetrated system.",

keywords = "Hydro units, Market clearing model, Probabilistic consumption, Stochastic programming, Wind power",

author = "Nilufar Neyestani and Soares, {Filipe J.} and Rui Alves and Reis, {Francisco S.} and Ricardo Pastor",

year = "2017",

month = jul,

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doi = "10.1109/EEM.2017.7982007",

language = "English",

pages = "1--6",

booktitle = "2017 14th International Conference on the European Energy Market, EEM 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "14th International Conference on the European Energy Market, EEM 2017 ; Conference date: 06-06-2017 Through 09-06-2017",

}

Neyestani, N, Soares, FJ, Alves, R, Reis, FS & Pastor, R 2017, Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market. in 2017 14th International Conference on the European Energy Market, EEM 2017., 7982007, Institute of Electrical and Electronics Engineers, blz. 1-6, 14th International Conference on the European Energy Market, EEM 2017, Dresden, Duitsland, 6/06/17. https://doi.org/10.1109/EEM.2017.7982007

Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market. / Neyestani, Nilufar; Soares, Filipe J.; Alves, Rui et al.
2017 14th International Conference on the European Energy Market, EEM 2017. Institute of Electrical and Electronics Engineers, 2017. blz. 1-6 7982007.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market

AU - Neyestani, Nilufar

AU - Soares, Filipe J.

AU - Alves, Rui

AU - Reis, Francisco S.

AU - Pastor, Ricardo

PY - 2017/7/17

Y1 - 2017/7/17

N2 - Vast increase of renewable energy resources' (RER) share in total electricity production have led to evolving studies regarding different aspects of renewables integration. Other than their effects on network, the electricity markets are also affected by uncertain behavior of RERs in the market place. Hence, new approaches for market clearing are investigated. One of the possible solutions is the deployment of stochastic market clearing. However, the adaption of new market models should consider different market characteristics. As a result, this paper assesses the adaption of stochastic market in a hydro-penetrated system. The co-optimized energy and reserve schedule in the day-ahead time frame is derived using the mixed integer linear programming (MILP). The model is tested with Portuguese electricity market data as a real-case of hydro-penetrated system.

AB - Vast increase of renewable energy resources' (RER) share in total electricity production have led to evolving studies regarding different aspects of renewables integration. Other than their effects on network, the electricity markets are also affected by uncertain behavior of RERs in the market place. Hence, new approaches for market clearing are investigated. One of the possible solutions is the deployment of stochastic market clearing. However, the adaption of new market models should consider different market characteristics. As a result, this paper assesses the adaption of stochastic market in a hydro-penetrated system. The co-optimized energy and reserve schedule in the day-ahead time frame is derived using the mixed integer linear programming (MILP). The model is tested with Portuguese electricity market data as a real-case of hydro-penetrated system.

KW - Hydro units

KW - Market clearing model

KW - Probabilistic consumption

KW - Stochastic programming

KW - Wind power

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DO - 10.1109/EEM.2017.7982007

M3 - Conference contribution

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BT - 2017 14th International Conference on the European Energy Market, EEM 2017

PB - Institute of Electrical and Electronics Engineers

T2 - 14th International Conference on the European Energy Market, EEM 2017

Y2 - 6 June 2017 through 9 June 2017

ER -

Assessing the adaption of stochastic clearing procedure to a hydro-penetrated market

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