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.
| Original language | English |
|---|---|
| Pages (from-to) | 9099-9014 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Publication status | Accepted/In press - 27 Feb 2017 |
| Event | IFAC 2017 World Congress: The 20th World Congress of the International Federation of Automatic Control - Toulouse, France Duration: 9 Jul 2017 → 14 Jul 2017 https://www.ifac2017.org |
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Keywords
- empirical mode decomposition
- fuzzy control
- power smoothing
- fluctuation rate
- state of charge
- battery energy storage system
- grid connection
Cite this
Yang, X., Yue, H., & Ren, J. (Accepted/In press). Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system. IFAC-PapersOnLine, 9099-9014.