HYBRID ENERGY STORAGE TWO-LAYER SMOOTHING CONTROL MODEL CONSIDERING MAXIMUM BENEFIT OF WIND POWER
This paper studies the scenario of wind farm deploying hybrid energy storage to smooth wind power fluctuations,considers the maximum benefit of wind farms on the premise of meeting the grid-connection requirements,and proposes to establish an adaptive RSSD-ICEEMDAN hybrid energy storage smoothing-configured two-layer planning model based on the resonance sparse decomposition(RSSD)and the improved fully-integrated empirical modal decomposition with adaptive noise(ICEEMDAN),and to establish a two-layer planning model for wind farm configuration hybrid energy storage smoothing-configured two-layer planning model.The upper layer takes the minimum wind power grid-connected power variable,the minimum energy storage output and the balance of energy storage charging and discharging as the objective function,solves the total control power of hybrid energy storage charging and discharging with adaptive RSSD,decomposes the total control power of hybrid energy storage charging and discharging with ICEEMDAN,and distributes the control power of battery and supercapacitor according to the principle of the mean value method.The distribution result is corrected twice in order to achieve the maximization of the benefit.On the basis of the upper layer,the optimal capacity allocation model of hybrid energy storage is established in the lower layer with the objective function of maximizing the net benefit,minimizing the fluctuation of hybrid energy storage and optimizing the charging and discharging effect of hybrid energy storage,and the upper and lower layers are mutually constrained to achieve the maximum benefit while meeting the requirements of the grid connection,and the optimal configuration is solved by the multi-objective artificial hummingbird algorithm for optimal searching.The rationality,validity and economy of the proposed model are verified by simulation analysis of a 20 MW wind farm in Xinjiang.
wind power generationhybrid energy storage systemsmoothing power fluctuationsstorage capacity allocationresonant sparse decomposition
NETL
NSTL
万方数据
