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Optimal wind reversible hydro offering strategies for midterm planning

Author:
Sánchez de la Nieta, Agustín; Contreras, Javier; Muñoz, José Ignacio; Catalão, JPS
URI:
https://hdl.handle.net/20.500.12412/5068
ISSN:
1949-3029
DOI:
10.1109/TSTE.2015.2437974
Date:
2015-10
Keyword(s):

Midterm planning

Offering strategies

Reversible hydro unit

Wind power

Abstract:

A coordinated strategy between wind and reversible hydro units for the midterm planning that reduces the imbalance of wind power and improves system efficiency is proposed. A stochastic mixed integer linear model is used, which maximizes the joint profit of wind and hydro units, where conditional value at risk (CVaR) is used for model risk. The offering strategies studied are 1)separate wind and hydro pumping offer, where the units work separately without a physical connection and 2)a single wind and hydro pumping offer with a physical connection between them to store wind energy for future use. The effects of a coordinated wind-hydro strategy for midterm planning are analyzed, considering CVaR and the future water value. The future water value in the reservoirs is analyzed hourly for a period of 1 week and 2 months, in two realistic case studies.

A coordinated strategy between wind and reversible hydro units for the midterm planning that reduces the imbalance of wind power and improves system efficiency is proposed. A stochastic mixed integer linear model is used, which maximizes the joint profit of wind and hydro units, where conditional value at risk (CVaR) is used for model risk. The offering strategies studied are 1)separate wind and hydro pumping offer, where the units work separately without a physical connection and 2)a single wind and hydro pumping offer with a physical connection between them to store wind energy for future use. The effects of a coordinated wind-hydro strategy for midterm planning are analyzed, considering CVaR and the future water value. The future water value in the reservoirs is analyzed hourly for a period of 1 week and 2 months, in two realistic case studies.

 

Es la versión aceptada del artículo. Se puede consultar la versión final en el DOI 10.1109/TSTE.2015.2437974

Es la versión aceptada del artículo. Se puede consultar la versión final en el DOI 10.1109/TSTE.2015.2437974

 
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