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Erschienen in: Current Sustainable/Renewable Energy Reports 3/2020

09.06.2020 | Regional Renewable Energy (M Negrete-Pincetic, Section Editor)

Challenges in the Management of Hydroelectric Generation in Power System Operations

verfasst von: Álvaro Lorca, Marcel Favereau, Daniel Olivares

Erschienen in: Current Sustainable/Renewable Energy Reports | Ausgabe 3/2020

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Abstract

Purpose of Review

The management of hydroelectric generation in the context of power system operations has been a difficult and important problem since the inception of power systems more than a century ago; however, various current developments are leading to important new associated challenges and opportunities: massive integration of variable renewable energy and other disruptive technologies, climate change effects on the availability of hydro inflows, and also new efficient techniques for optimization under uncertainty.

Recent Findings

Multistage stochastic optimization and stochastic dual dynamic programming are currently the dominant techniques for hydroelectric generation scheduling problems; however, there are many recent extensions and improvements on such techniques, and alternative approaches are being developed with significant potential for future concrete applications from power system operators and policy makers.

Summary

In this context, this paper presents a literature review on hydroelectric generation scheduling models, and a discussion on the critical challenges, open research questions, and future lines of research associated to this problem.

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Literatur
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Zurück zum Zitat •• Ding L, Ahmed S, Shapiro A. A Python package for multi-stage stochastic programming. Optimization Online. 2019:1–42. •• Ding L, Ahmed S, Shapiro A. A Python package for multi-stage stochastic programming. Optimization Online. 2019:1–42.
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Zurück zum Zitat •• Dowson O, Kapelevich L. SDDP.jl: a Julia package for stochastic dual dynamic programming. Optimization Online. 2017. •• Dowson O, Kapelevich L. SDDP.jl: a Julia package for stochastic dual dynamic programming. Optimization Online. 2017.
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Zurück zum Zitat •• Asamov T, Salas DF, Powell WB. SDDP vs. ADP: the effect of dimensionality in multistage stochastic optimization for grid level energy storage. 2016. •• Asamov T, Salas DF, Powell WB. SDDP vs. ADP: the effect of dimensionality in multistage stochastic optimization for grid level energy storage. 2016.
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Zurück zum Zitat •• Huang J, Zhou K, Guan Y. A study of distributionally robust multistage stochastic optimization. 2017. •• Huang J, Zhou K, Guan Y. A study of distributionally robust multistage stochastic optimization. 2017.
Metadaten
Titel
Challenges in the Management of Hydroelectric Generation in Power System Operations
verfasst von
Álvaro Lorca
Marcel Favereau
Daniel Olivares
Publikationsdatum
09.06.2020
Verlag
Springer International Publishing
Erschienen in
Current Sustainable/Renewable Energy Reports / Ausgabe 3/2020
Elektronische ISSN: 2196-3010
DOI
https://doi.org/10.1007/s40518-020-00152-6

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