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Weekly planning of hydropower in systems with large volumes and varying power generation: A literature review
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0003-0531-444X
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0001-6000-9363
2021 (English)In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2021, article id 9495058Conference paper, Published paper (Refereed)
Abstract [en]

Hydropower is the world's largest source of renewable electricity generation and hydropower plants with reservoirs provide flexibility to the power systems. Efficient planning techniques improve the flexibility of the power systems and reduce carbon emissions, which is needed in power systems exposed to a rapid change. Renewable energy sources, such as wind and solar power, are increasing in the power systems. Hydropower plants have low operating costs and are used as base power. This paper reviews hydropower planning in different time frames and specifically focuses on weekly planning, i.e. hydropower planning for 1 to 3 weeks. Main conclusions in this study are that the term weekly planning is seldom used and the definitions in earlier studies of short term, mid term and long term planning, respectively, varies. The authors propose that weekly planning should belong to mid term planning.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. article id 9495058
Keywords [en]
Hydropower, literature review, low carbon operation, weekly planning, Hydroelectric power, Hydroelectric power plants, Operating costs, Solar power plants, Efficient planning, Hydropower planning, Hydropower plants, Literature reviews, Long term planning, Renewable electricity, Renewable energy source, Wind and solar power, Electric power system planning
National Category
Energy Systems Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-311067DOI: 10.1109/PowerTech46648.2021.9495058ISI: 000848778000304Scopus ID: 2-s2.0-85112369059OAI: oai:DiVA.org:kth-311067DiVA, id: diva2:1652547
Conference
2021 IEEE Madrid PowerTech, PowerTech 2021, 28 June 2021 through 2 July 2021
Note

QC 20220927

Part of proceedings: ISBN 978-166543597-0

Available from: 2022-04-19 Created: 2022-04-19 Last updated: 2022-09-27Bibliographically approved

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