Abstract After analyzing different methods, a means using moving average method and empirical mode decomposition (EMD) was presented to obtain power and capacity allocation of hybrid energy storage system (HESS). Based on the life-cycle cost theory, considering the benefits when the quantity of spinning reserve and transmission network decreases, the wind power fluctuations were smoothed with the maximum net benefit. First, EMD was used to decompose the HESS reference power which was derived by moving average, and then a series of intrinsic mode functions (IMFs) were obtained. From the instantaneous frequency-time profiles of the IMFs, the so-call gap frequency was identified. Subsequently, the HESS reference power was decomposed into high and low frequency components. Power smoothing was then achieved by regulating the reference power of the power and energy storage to mitigate the high and lower frequency fluctuating components respectively. Then, taken the HESS charge-discharge efficiency and state of charge (SOC) into account, the required power and capacities of different schemes were determined. Finally, the cost-benefit model of HESS was established to compare the net benefit of each scheme and select the optimal one.
Zhang Qing,Li Xinran,Yang Ming等. Capacity Determination of Hybrid Energy Storage System for Smoothing Wind Power Fluctuations with Maximum Net Benefit[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 40-48.
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