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

Xiyun Yang, Hong Yue, Jie Ren

Research output: Contribution to journalConference Contribution

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.

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Energy storage
Wind power
Decomposition
Ions

Keywords

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

Cite this

@article{22bc32b8cbaf4874b5abfffb29929c7e,
title = "Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system",
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.",
keywords = "empirical mode decomposition, fuzzy control, power smoothing, fluctuation rate, state of charge, battery energy storage system, grid connection",
author = "Xiyun Yang and Hong Yue and Jie Ren",
year = "2017",
month = "2",
day = "27",
language = "English",
pages = "9099--9014",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",

}

Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system. / Yang, Xiyun; Yue, Hong; Ren, Jie.

In: IFAC-PapersOnLine, 27.02.2017, p. 9099-9014.

Research output: Contribution to journalConference Contribution

TY - JOUR

T1 - Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system

AU - Yang, Xiyun

AU - Yue, Hong

AU - Ren, Jie

PY - 2017/2/27

Y1 - 2017/2/27

N2 - 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.

AB - 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.

KW - empirical mode decomposition

KW - fuzzy control

KW - power smoothing

KW - fluctuation rate

KW - state of charge

KW - battery energy storage system

KW - grid connection

UR - http://www.sciencedirect.com/science/journal/24058963

M3 - Conference Contribution

SP - 9099

EP - 9014

JO - IFAC-PapersOnLine

T2 - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

ER -