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

Xiyun Yang, Hong Yue, Jie Ren

Research output: Contribution to journalConference Contributionpeer-review

68 Downloads (Pure)

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 languageEnglish
Pages (from-to)8769-8774
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
Publication statusPublished - 31 Jul 2017
EventIFAC 2017 World Congress: The 20th World Congress of the International Federation of Automatic Control - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
https://www.ifac2017.org

Keywords

  • empirical mode decomposition
  • fuzzy control
  • power smoothing
  • fluctuation rate
  • state of charge
  • battery energy storage system
  • grid connection

Fingerprint Dive into the research topics of 'Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system'. Together they form a unique fingerprint.

Cite this