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Pumped Storage Hydroelectricity for a Sustainable Electricity Transition - With a Case Study of Juktan Power Station
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0009-0002-0572-0122
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0003-4763-9429
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, Optimization and Systems Theory.
2024 (English)In: PMAPS 2024 - 18th International Conference on Probabilistic Methods Applied to Power Systems, Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores the application of Pumped-Storage Hydroelectricity (PSH) within an electricity market characterised by a substantial share of renewable and intermittent electricity production. The purpose of PSH is to enhance the alignment of supply with demand by storing energy at electricity surplus and releasing it during shortage. The Juktan Power Station, once the largest PSH facility in Sweden with a storage capacity of about 25 GWh and a maximum generation of 335 MW, serves as a case study. An in-depth analysis of the properties of the Swedish electricity market and its influencing factors is conducted. Wind speed data is successfully used to increase the accuracy of electricity price prediction. Furthermore, a model is developed to calculate potential profitability employing various operation methods. In conclusion, large-scale PSH provides significant benefits to the robustness of the electricity system, with a clear increase in value beginning in 2021. However, concerns about grid tariff design, electricity market development and energy storage incentives mean that investments are not obviously profitable.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024.
Keywords [en]
Juktan Power Station, Power grid, Power system, Pumped-storage hydroelectricity, Reliability, Robustness, Sustainability
National Category
Energy Engineering Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-367155DOI: 10.1109/PMAPS61648.2024.10667203ISI: 001324824200009Scopus ID: 2-s2.0-85204774449OAI: oai:DiVA.org:kth-367155DiVA, id: diva2:1984284
Conference
18th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2024, Auckland, New Zealand, Jun 24 2024 - Jun 26 2024
Note

Part of ISBN 9798350372786

QC 20250715

Available from: 2025-07-15 Created: 2025-07-15 Last updated: 2025-07-15Bibliographically approved

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Elmfeldt, TeodorBertling Tjernberg, LinaCarlsund Levin, Christina

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