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Arild Helseth

Senior Research Scientist

Arild Helseth

Senior Research Scientist

Arild Helseth
Phone: 472 78 968
Email:
Department: Energy Systems
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=1864642

This paper concerns the assessment of two methods for convex relaxation of the short-term hydrothermal scheduling problem. The problem is originally formulated as a mixed integer programming problem, and then approximated using both Lagrangian and Linear relaxation. The two relaxation methods are...

Authors Arild Helseth Stefan Jaehnert Andre Luiz Diniz
Year 2020
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1840126

The aim of this work is to simulate prices in the markets for spot and spinning reserve capacity in the Nordic region. We consider four selected seasonal weeks using a model framework for multi-market price forecasting in hydro-thermal power systems. Five different cases for reserve capacity...

Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1840123

Hydropower plants and reservoirs can have negative impacts on their surrounding ecosystems. To limit such impacts, environmental regulations may be imposed. This paper provides a review of literature on the most commonly used environmental constrains in scheduling of hydro-dominated systems and...

Authors Linn Emelie Schäffer Ana Adeva-Bustos Tor Haakon Bakken Arild Helseth Magnus Korpås
Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1840087

In this work, a continuous-time unit commitment formulation of a hydrothermal system with integration of offshore wind power is used to model the North European system operation. The cost of covering the structural imbalances in the system is quantified by a cost comparison to an analogous...

Authors Mari Lund Øvstebø Christian Øyn Naversen Arild Helseth Hossein Farahmand
Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1840062

We present a framework based on machine learning for reducing the problem size of a short-term hydrothermal scheduling optimization model applied for price forecasting. The general idea is to reduce the optimization problem dimensions by finding patterns in input data, and without compromising the...

Authors Arild Helseth Eivind Bekken Sveen
Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1826941

Environmental constraints in hydropower systems serve to ensure sustainable use of water resources. Through accurate treatment in hydropower scheduling, one seeks to respect such constraints in the planning phase while optimizing the utilization of hydropower. However, many environmental constraints...

Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1786441

This paper presents a framework for long-term price forecasting in hydro-thermal power systems comprising two modeling layers. A long-term hydro-thermal model expresses the expected future cost as a function of hydro reservoir levels to a short-term operational model. The short-term model re...

Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1823349

This report elaborates on the toolchains applied for generation scheduling in the two countries Norway and Brazil. Both countries have vast hydropower resources, with numerous geographically widespread and complex reservoir systems. Although the underlying objective of the scheduling is essentially...

Authors Arild Helseth Albert Corderio Geber de Melo
Year 2020
Type Report