Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system

Yang, Xiyun and Yue, Hong and Ren, Jie (2017) Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system. IFAC-PapersOnLine, 50 (1). pp. 8769-8774. ISSN 2405-8963 (https://doi.org/10.1016/j.ifacol.2017.08.1735)

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Abstract

The intermittency and fluctuations of wind power cause problems in integration of wind energy systems into the grid. To smooth the fluctuations of wind power, a control scheme based on fuzzy empirical mode decomposition (EMD) is proposed with the use of battery energy storage system (BESS). With this idea, the wind power signal is decomposed via EMD and filtered into two parts: the low-frequency part is taken as the target smooth wind power for grid connect ion, and the high-frequency part is stored by BESS before connecting to the grid to compensate for the fluctuations in the original wind power signal. A fuzzy EMD filter is developed by considering constraints on both the power fluctuation rate and the state of charge (SOC) of the BESS. The performance of the proposed strategy has been examined through case study simulations, which demonstrates improvement in mitigating wind power fluctuations and also in reducing over charging/discharging operations of the integrated BESS.

ORCID iDs

Yang, Xiyun, Yue, Hong ORCID logoORCID: https://orcid.org/0000-0003-2072-6223 and Ren, Jie;
CORE (COnnecting REpositories)