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European Balancing Act
Abstract
Wind power integration into power systems has two dimensions: an economical one related to optimization of the resources and a fair sharing of the cost, and a technical one related to security of supply. The economical dimension is first observed in the allocation and use of reserves that can incur increased costs for the power system operation. The actual impact of adding wind generation in different balancing areas can vary depending on local factors. Comparing European studies, some general aspects to reduce integration costs were identified, such as aggregating wind plant output over large geographical regions, larger balancing areas, and operating the power system closer to the delivery hour. In regard to the technical dimension, appropriate grid codes, in particular FRT and frequency control requirements, are essential to allow high wind penetration levels (>15%).
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Citations
Cited by
Sizing of Energy Storage for Microgrids
Chen, S. X., Gooi, H. B., & Wang, M. Q. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2160745 · Cited by 916
Using Artificial Intelligence to Predict Wind Speed for Energy Application in Saudi Arabia
Brahimi, T. (2019) · Energies · doi:10.3390/en12244669 · Cited by 74
Metadata
- Authors
- Ackermann, T., Abbad, J., Dudurych, I., Erlich, I., Holttinen, H., Kristoffersen, J., & Sorensen, P.
- Venue
- IEEE Power and Energy Magazine
- Published
- 2007
- Volume
- 5
- Issue
- 99
- Pages
- x6-90
- ISSN
- 1540-7977 (ISSN-L)
- OpenAlex
- W3139890546
- Cited by
- 169
- References
- 0
- FWCI
- 15.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: European Balancing Act. https://app.cochat.ai/papers/10.1109/mpae.2007.4317490
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- Ackermann, T., Abbad, J., Dudurych, I., Erlich, I., Holttinen, H., Kristoffersen, J., & Sorensen, P. (2007). European Balancing Act. IEEE Power and Energy Magazine. https://doi.org/10.1109/mpae.2007.4317490
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
