Congestion-induced wind curtailment mitigation using energy storage

Mohammad Moradzadeh, Brecht Zwaenepoel, Jan Van De Vyver, Lieven Vandevelde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.

Original languageEnglish
Title of host publicationENERGYCON 2014
Subtitle of host publicationIEEE International Energy Conference
PublisherIEEE Computer Society
Pages572-576
Number of pages5
ISBN (Print)9781479924493
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Energy Conference - Dubrovnik, Croatia
Duration: 13 May 201416 May 2014
http://www.energycon2014.org/ (Link to Conference Website)

Conference

Conference2014 IEEE International Energy Conference
Abbreviated titleENERGYCON 2014
CountryCroatia
CityDubrovnik
Period13/05/1416/05/14
Internet address

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Cite this

Moradzadeh, M., Zwaenepoel, B., Van De Vyver, J., & Vandevelde, L. (2014). Congestion-induced wind curtailment mitigation using energy storage. In ENERGYCON 2014: IEEE International Energy Conference (pp. 572-576). [6850483] IEEE Computer Society. https://doi.org/10.1109/ENERGYCON.2014.6850483