Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output

Tran Thai Trung, Seon-Ju Ahn, Joon-Ho Choi, Seok-Il Go and Soon-Ryul Nam
Additional contact information
Tran Thai Trung: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Seon-Ju Ahn: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Joon-Ho Choi: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Seok-Il Go: Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea
Soon-Ryul Nam: Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea

Energies, 2014, vol. 7, issue 10, 1-25

Abstract: Since the penetration level of wind energy is continuously increasing, the negative impact caused by the fluctuation of wind power output needs to be carefully managed. This paper proposes a novel real-time coordinated control algorithm based on a wavelet transform to mitigate both short-term and long-term fluctuations by using a hybrid energy storage system (HESS). The short-term fluctuation is eliminated by using an electric double-layer capacitor (EDLC), while the wind-HESS system output is kept constant during each 10-min period by a Ni-MH battery (NB). State-of-charge ( SOC ) control strategies for both EDLC and NB are proposed to maintain the SOC level of storage within safe operating limits. A ramp rate limitation (RRL) requirement is also considered in the proposed algorithm. The effectiveness of the proposed algorithm has been tested by using real time simulation. The simulation model of the wind-HESS system is developed in the real-time digital simulator (RTDS)/RSCAD environment. The proposed algorithm is also implemented as a user defined model of the RSCAD. The simulation results demonstrate that the HESS with the proposed control algorithm can indeed assist in dealing with the variation of wind power generation. Moreover, the proposed method shows better performance in smoothing out the fluctuation and managing the SOC of battery and EDLC than the simple moving average (SMA) based method.

Keywords: wind generation; electrical energy storage system (EESS); real-time wavelet transform; energy management; fluctuation mitigation; real time digital simulation; Ni-MH battery (NB); electric double-layer capacitor (EDLC) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1996-1073/7/10/6620/pdf (application/pdf)
https://www.mdpi.com/1996-1073/7/10/6620/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:7:y:2014:i:10:p:6620-6644:d:41227

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().