To main content

Ellen Krohn Aasgård

Master of Science

Ellen Krohn Aasgård

Master of Science

Ellen Krohn Aasgård
Phone: 934 06 340
Department: Energy Systems
Office: Trondheim

Publications and responsibilities

Publications

Publication

Optimizing day-ahead bid curves in hydropower production

http://www.sintef.no/en/publications/publication/?pubid=CRIStin+1454798

In deregulated electricity markets, hydropower producers must bid their production into the day-ahead market. For price-taking producers, it is optimal to offer energy according to marginal costs, which for hydropower are determined by the opportunity cost of using water that could have been stored ...

Authors Aasgård Ellen Krohn Naversen Christian Øyn Fodstad Marte Skjelbred Hans Ivar
Year 2017
Type Journal publication
Publication

Comparing Bidding Methods for Hydropower

http://www.sintef.no/en/publications/publication/?pubid=CRIStin+1331907

In this paper we compare several methods used by hydropower producers for the determination of bids to the day-ahead market. The methods currently used by the hydropower industry are based on heuristics and expert assessments, but we also include a new method for formal optimization of the bid decis...

Authors Aasgård Ellen Krohn Skjelbred Hans Ivar Solbakk Fredrik
Year 2016
Type Journal publication
Publication

Applying successive linear programming for stochastic short-term hydropower optimization

http://www.sintef.no/en/publications/publication/?pubid=CRIStin+1278556

We present a model for operational stochastic short-term hydropower scheduling, taking into account the uncertainty in future prices and inflow, and illustrate how the benefits of using a stochastic rather than a deterministic model can be quantified. The solution method is based on stochastic succe...

Year 2016
Type Journal publication
Publication

Evaluating a stochastic-programming-based bidding model for a multireservoir system

http://www.sintef.no/en/publications/publication/?pubid=CRIStin+1141432

Hydropower producers need to schedule when to release water from reservoirs and participate in wholesale electricity markets where the day-ahead production is physically traded. A mixed-integer linear stochastic model for bid optimization and short-term production allocation is developed and tested ...

Authors Aasgård Ellen Andersen Gørild Fleten Stein-Erik Haugstvedt Daniel
Year 2014
Type Journal publication
View all publications at Cristin