Optimal Configuration Strategy of Hybrid Energy Storage System to Stabilize Wind Power Fluctuations
DOI:
https://doi.org/10.54097/wztfb730Keywords:
Fluctuation power mitigation, hybrid energy storage system, power allocation, full life cycle, improved particle swarm optimizationAbstract
Regarding the issue of optimal configuration for hybrid energy storage to independently stabilize wind power fluctuations, this paper proposes a hybrid energy storage optimization method considering the life-cycle economics of supercapacitors and lithium batteries. First, at the upper level of power allocation, an Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise combined with superposition reconstruction is used to decompose the wind power into a grid-connected component that meets fluctuation standards and a component requiring smoothing by hybrid energy storage. At the lower level of power allocation, a frequency division parameter is introduced to further decompose and reconstruct the smoothing component into low-frequency and high-frequency power demands. Furthermore, a zonal power control strategy based on state of charge recovery is proposed to adjust the allocated power for supercapacitors and lithium batteries. Finally, considering constraints such as charge–discharge power and capacity of the hybrid energy storage, an optimization model for hybrid energy storage configuration is established with the objective of minimizing the annualized cost over the full life cycle. The model is solved using an improved particle swarm optimization algorithm. Case study results demonstrate that the proposed method can effectively enhance the economic performance of the hybrid energy storage system in smoothing wind power fluctuations.
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