Abstract
Application of battery energy storage systems (BESS) could help reducing wind power curtailment. Due to the uncertain nature of wind power as well as conventional generation and loads, it is more reasonable and accurate to determine the quantitative requirement for BESS probabilistically. Moreover, the effectiveness of using BESS to reduce wind power curtailment is affected by their charging and discharging control strategies. In this paper, a method based on sequential Monte Carlo simulation (SMCS) is proposed for probabilistically analyzing the requirement for BESS. Three practical charging and discharging control strategies of BESS are also proposed and compared both qualitatively and quantitatively as for their effectiveness in reducing wind power curtailment. The proposed method and control strategies are tested in a real large power system in northwest China.
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