Tran Thai Trung
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Tran Thai Trung has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Joon-Ho Choi
Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
2 shared publications - Seon-Ju Ahn
Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
2 shared publications - Seok-Il Go
Department of Electrical Engineering, Honam University, Gwangju 62399, Republic of Korea
1 shared publication - Soon-Ryul Nam
Department of Electrical Engineering, Myongji University, Yongin 17058, Republic of Korea
1 shared publication
Latest Publications
- 1 January 2015
- Published by EJournal Publishing in Journal of Clean Energy Technologies
- Vol. 3 (1) , 57-61
Real Time Simulation of Distribution System with Distributed Energy Resources
- 1 January 2015
- Published by EJournal Publishing in Journal of Clean Energy Technologies
- Vol. 3 (1) , 57-61
Real Time Simulation of Distribution System with Distributed Energy Resources
- Open Access
Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output
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.
Open AccessReal-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output
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.