A smoothing strategy for hybrid storage based on EEMD and two-level fuzzy control

Abstract Wind power has the characteristics of randomness and intermittence. A smoothing control theory for hybrid Energy storage equipment (HESS) using Ensemble Empirical Mode Decomposition (EEMD) to allot power and two-level fuzzy control theory to adjust the power of the Energy storage equipment...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2354; no. 1; pp. 12018 - 12025
Main Authors Deng, Hao, Zhang, Yingchao, Li, Cui, Li, Haiming, Liu, Peng, Xu, JiaFeng
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2022
Subjects
Control equipment
Control theory
Energy storage
Fuzzy control
Physics
Service life
Smoothing
Storage equipment
Wind power
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Summary:Abstract Wind power has the characteristics of randomness and intermittence. A smoothing control theory for hybrid Energy storage equipment (HESS) using Ensemble Empirical Mode Decomposition (EEMD) to allot power and two-level fuzzy control theory to adjust the power of the Energy storage equipment is proposed. EEMD can decompose wind power, the battery is used to weaken the long-term power fluctuation, and the super capacitor is used to weaken the short-term power fluctuation. Using HESS can improve the service life of Energy storage equipment.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2354/1/012018