Projects per year
Abstract
This paper describes one approach to find two optimum energy storages (ESs) to build a hybrid system which is part of a virtual power plant. Here it means the combination of the hybrid energy storage system and wind power plant (WPP). The
discussed approach is applied in a case study on the power market in western Denmark. The optimum ESs are selected based on the highest net present value (NPV) out of many different combinations of ESs in terms of power rating and technologies. Due to its many possible combinations a simulation model has been built which uses historical market data and also the latest available price data for ESs.
discussed approach is applied in a case study on the power market in western Denmark. The optimum ESs are selected based on the highest net present value (NPV) out of many different combinations of ESs in terms of power rating and technologies. Due to its many possible combinations a simulation model has been built which uses historical market data and also the latest available price data for ESs.
Original language | English |
---|---|
Title of host publication | Proceedings of the 6th International Renewable Energy Storage Conference and Exhibition, IRES 2011 |
Number of pages | 8 |
Publisher | EUROSOLAR |
Publication date | 2011 |
ISBN (Print) | 978-3-00-037648-1 |
Publication status | Published - 2011 |
Event | 6th International Renewable Energy Storage Conference and Exhibition, IRES 2011 - Berlin, Germany Duration: 28 Nov 2011 → 30 Nov 2011 |
Conference
Conference | 6th International Renewable Energy Storage Conference and Exhibition, IRES 2011 |
---|---|
Country/Territory | Germany |
City | Berlin |
Period | 28/11/2011 → 30/11/2011 |
Keywords
- Virtual power plant
- Hybrid energy storage
- Wind power
- Sizing energy storage
Fingerprint
Dive into the research topics of 'Optimizing a Hybrid Energy Storage System for a Virtual Power Plant for Improved Wind Power Generation: A Case Study for Denmark'. Together they form a unique fingerprint.Projects
- 1 Finished
-
ALPBES: Advanced Lifetime Predictions of Battery Energy Storage
Kær, S. K., Andreasen, S. J., Teodorescu, R., Stroe, A., Barreras, J. V., Khan, M. R. & Swierczynski, M. J.
DSF The Danish Council for Strategic Research
01/02/2013 → 30/08/2017
Project: Research