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- W2982085188 abstract "Nowadays, power system often faces the intractable problem of power fluctuation due to the intermittency and stochasticity of renewable energy, such as wind and photovoltaics, generation system. The energy storage system, such as the battery energy storage system (BESS) is an effective way to smooth the power fluctuation so as to increase the allowed penetration level of renewable energy generation in power grid. However, the cost of the energy storage system is still very high and the efficient control strategies are needed to improve the benefit of per unit energy storage as high as possible. In view of that, this paper proposed a novel control strategy for BESS based on the common moving average filter (MAF) and ultra-short-term wind power forecast. By adding future wind power data predicted into inputs of the filter, the MAF could possess the characteristic of nearly zero phase delay, which almost eliminates the low-frequency components in the load of BESS. The control strategy proposed enables BESS to focus on the compensation of the high-frequency components of the wind power, therefore obtaining better smoothing results for given BESS and improving its economic efficiency. Simulation results in various scenarios verify the effectiveness of the proposed method." @default.
- W2982085188 created "2019-11-01" @default.
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- W2982085188 date "2019-05-01" @default.
- W2982085188 modified "2023-09-26" @default.
- W2982085188 title "Wind Power Fluctuation Smoothing with BESS Considering Ultra-short-term Prediction" @default.
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- W2982085188 doi "https://doi.org/10.1109/isgt-asia.2019.8881501" @default.
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