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Abstract
The rapid development and growth of battery storage have heightened an interest in the co-location of battery energy storage systems (BESS) with renewable energy projects which enables the stacking of multiple revenue streams while reducing connection charges of BESS. To help wind energy industries better understand the coordinated operation of BESS and wind farms and its associated profits, this paper develops a simulation model to implement a number of coordination strategies where the BESS supplies enhanced frequency response (EFR) service and enables the time shift of wind generation based on the UK perspective. The proposed model also simulates the degradation of Lithium-Ion battery and incorporates a state of charge (SOC) dependent limit on the charge rate derived from a constant current-constant voltage charging profile. In addition, a particle swarm optimisation-based battery sizing algorithm is developed here on the basis of the simulation model to determine the optimal size of the co-located BESS along with SOC-related strategy variables that maximise the net present value of the wind + BESS system at the end of the EFR contract.
Original language | English |
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Article number | 1439 |
Number of pages | 21 |
Journal | Energies |
Volume | 14 |
Issue number | 5 |
DOIs | |
Publication status | Published - 6 Mar 2021 |
Keywords
- battery energy storage system
- co-located system
- coordination strategy
- frequency response
- particle swarm optimisation
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OREC EIRH (Electrical Infrastructure Research Hub)
Bell, K. (Principal Investigator), Anaya-Lara, O. (Co-investigator), Burt, G. (Co-investigator), Stewart, B. (Co-investigator), Xu, L. (Co-investigator) & MacIver, C. (Researcher)
Offshore Renewable Energy Catapult
4/06/18 → 3/09/25
Project: Research
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Impact Acceleration Account - University Of Strathclyde 2012 / R120526-247
Burt, G. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/12 → 31/03/17
Project: Research - Internally Allocated
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Wind-farm and hydrogen-storage co-location system optimization for dynamic frequency response in the UK
Fan, F., Skellern, S., Campos-Gaona, D. & Nwobu, J., 10 Mar 2023, In: Clean Energy. 7, 1, p. 157-173 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)65 Downloads (Pure) -
Wind-plus-battery system optimisation for frequency response service: the UK perspective
Fan, F., Zorzi, G., Campos-Gaona, D. & Nwobu, J., 31 Oct 2022, In: Electric Power Systems Research. 211, 10 p., 108400.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)34 Downloads (Pure) -
Wind-plus-battery system optimisation for frequency response service: the UK perspective
Fan, F., Zorzi, G., Campos-Gaona, D. & Nwobu, J., 1 Jul 2022. 9 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile