Optimizing day-ahead bid curves in hydropower production-Reference-Cited by-同舟云学术

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Optimizing day-ahead bid curves in hydropower production

Published:2017-02-15 Issue:2 Volume:9 Page:257-275
ISSN:1868-3967
Container-title:Energy Systems
language:en
Short-container-title:Energy Syst

Author:

Aasgård Ellen Krohn,Naversen Christian Øyn,Fodstad Marte,Skjelbred Hans Ivar

Publisher

Springer Science and Business Media LLC

Subject

General Energy,Economics and Econometrics,Modelling and Simulation

Link

http://link.springer.com/article/10.1007/s12667-017-0234-z/fulltext.html

Reference20 articles.

1. Fosso, O.B., Gjelsvik, A., Haugstad, A., Mo, B., Wangensteen, I.: Generation scheduling in a deregulated system. The Norwegian case. IEEE Trans. Power Syst. 14(1), 75–81 (1999)

2. Pereira, M.V.F., Pinto, L.M.V.G.: Stochastic optimization of a multireservoir hydroelectric system: a decomposition approach. Water Resour. Res. 21(6), 779–892 (1985)

3. Fleten, S.-E., Kristoffersen, T.K.: Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer. Eur. J. Oper. Res. 181(2), 916–928 (2007)

4. Pritchard, G., Zakeri, G.: Market offering strategies for hydro-electric generators. Oper. Res. 51, 602612 (2003)

5. Pritchard, G., Philpott, A.B., Neame, P.J.: Hydroelectric reservoir optimization in a pool market. Math. Program. 103(3), 445461 (2005)

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1. Reservoir operations under uncertainty with moving-horizon approach and ensemble forecast optimization;Journal of Applied Water Engineering and Research;2023-11-07

2. Short-term hydropower optimization in the day-ahead market using a nonlinear stochastic programming model;Energy Systems;2023-09-01

3. Optimal bidding for large-scale hydropower stations serving multiple power grids in multi-regional monthly electricity markets;International Journal of Electrical Power & Energy Systems;2023-05

4. Stochastic programming approach for optimal day-ahead market bidding curves of a microgrid;Applied Energy;2023-04

5. Production Planning of Cascaded Hydropower Stations using Approximate Dynamic Programming;IFAC-PapersOnLine;2023

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