Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 8, Issue 2, Pages 695-707Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2016.2615638
Keywords
Capacity; energy storage; optimization; SOC; wind power
Categories
Funding
- National Natural Science Foundation of 11China [51307101, 71401017, 71420107027]
- Faculty of Engineering and Information Technologies, University of Sydney, under the Faculty Research Cluster Program
- China Southern Power Grid [WYKJ00000027]
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The variability of wind power generation increases the uncertainties in modern power system, affecting its physical operation. Owning to the fast response capability, battery energy storage system (BESS) has offered an answer to this problem. In this paper, a novel sizing methodology is proposed for BESS planning, which strikes a balance between economic cost and wind smoothing performance. First, a novel variable-interval reference signal optimization approach and a fuzzy control-based charging/discharging scheme are presented to smooth wind power, maintaining the state-of-health of BESS in the meanwhile. And then, power and energy capacities are determined according to a statistical model of charge/discharge power and the economic cost model, respectively. Finally, case studies are carried out to demonstrate the performance of the proposed method. The impact from wind power forecasting error during real-time operation is also analyzed.
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