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Abstract
As the penetration of wind power increases in power systems across the world, wind forecast errors become an emerging problem. Storage units are reliable tools to be used in cooperation with wind farms to mitigate imbalance penalties. Nevertheless they are not still economically viable due to huge investment cost. We suggest benefitting the storage unit as a regulation service provider beside its normal operation for mitigating wind power imbalances. This idea comes from the fact that storage units have a fast ramping capability which is necessary to meet close to real-time regulation needs. In this paper a framework is proposed to formulate the optimal design of storage unit’s operation under different scenarios. These scenarios include whether the wind farm is actually generating more or less than the scheduled level submitted to day-ahead market. The results emphasize that the deployment of storage units brings additional profit to the owner.
Original language | English |
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Title of host publication | Proceedings of the 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2014 |
Number of pages | 6 |
Publisher | IEEE Press |
Publication date | Dec 2014 |
Pages | 1-6 |
DOIs | |
Publication status | Published - Dec 2014 |
Event | 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference 2014 (IEEE PES APPEEC 2014) - Hong Kong, Hong Kong Duration: 7 Dec 2014 → 10 Dec 2014 |
Conference
Conference | 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference 2014 (IEEE PES APPEEC 2014) |
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Country/Territory | Hong Kong |
City | Hong Kong |
Period | 07/12/2014 → 10/12/2014 |
Keywords
- Forecast error
- Regulation service
- Stochastic optimization
- Storage facility
- Wind power deviations
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Dive into the research topics of 'Cooperative Optimal Operation of Wind-Storage Facilities'. Together they form a unique fingerprint.Projects
- 1 Finished
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Development of a Secure, Economic and Environmentally-friendly Modern Power System
Chen, Z., Bak-Jensen, B., Bak, C. L., Hu, W., Fang, J. & Su, C.
01/04/2010 → 31/12/2015
Project: Research