Design of Energy Storage Control Strategy to Improve the PV System Power Quality

Mingyu Lei; Zilong Yang; Yibo Wang; Honghua Xu; Lexuan Meng; Juan Carlos Vasquez Quintero; Josep M. Guerrero

doi:10.1109/IECON.2016.7794071

Design of Energy Storage Control Strategy to Improve the PV System Power Quality

Mingyu Lei, Zilong Yang, Yibo Wang, Honghua Xu, Lexuan Meng, Juan Carlos Vasquez Quintero, Josep M. Guerrero

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

15 Citations (Scopus)

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Abstract

Random fluctuation of PV power is becoming a more and more serious problem affecting the power quality and stability of grid as the PV penetration keeps increasing recent
years. Aiming at this problem, this paper proposed a control strategy of energy storage system based on Model Predictive Control (MPC). By the continuous optimizing of MPC, we can obtain the system parameters accurately, and then calculate the energy storage power. At the same time, this control took state of charge (SOC) and other parameters into account to ensure the health and stability of the energy storage units. Finally, simulation results proved the proposed control strategy had good performance and robustness.

Original language	English
Title of host publication	Proceedings of IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society
Number of pages	6
Publisher	IEEE Press
Publication date	Oct 2016
Pages	2022 - 2027
ISBN (Electronic)	978-1-5090-3474-1
DOIs	https://doi.org/10.1109/IECON.2016.7794071
Publication status	Published - Oct 2016
Event	42nd Conference of the Industrial Electronics Society, IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society - Palazzo dei Congressi, Florence, Italy Duration: 24 Oct 2016 → 27 Oct 2016 http://www.iecon2016.org/?jjj=1471434927195 http://www.iecon2016.org/

Conference

Conference	42nd Conference of the Industrial Electronics Society, IECON 2016
Location	Palazzo dei Congressi
Country/Territory	Italy
City	Florence
Period	24/10/2016 → 27/10/2016
Sponsor	IEEE Industrial Electronics Society (IES), Institute of Electrical and Electronics Engineers (IEEE)
Internet address	http://www.iecon2016.org/?jjj=1471434927195 http://www.iecon2016.org/

Keywords

Energy storage
Power fluctuation
Power quality
Model predictive control

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Design of Energy Storage Control Strategy to Improve the PV System Power QualitySubmitted manuscript, 1.11 MB

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@inproceedings{86b3c4e45b2a4cd2832b7b672591ac42,

title = "Design of Energy Storage Control Strategy to Improve the PV System Power Quality",

abstract = "Random fluctuation of PV power is becoming a more and more serious problem affecting the power quality and stability of grid as the PV penetration keeps increasing recentyears. Aiming at this problem, this paper proposed a control strategy of energy storage system based on Model Predictive Control (MPC). By the continuous optimizing of MPC, we can obtain the system parameters accurately, and then calculate the energy storage power. At the same time, this control took state of charge (SOC) and other parameters into account to ensure the health and stability of the energy storage units. Finally, simulation results proved the proposed control strategy had good performance and robustness.",

keywords = "Energy storage, Power fluctuation, Power quality, Model predictive control",

author = "Mingyu Lei and Zilong Yang and Yibo Wang and Honghua Xu and Lexuan Meng and Quintero, {Juan Carlos Vasquez} and Guerrero, {Josep M.}",

year = "2016",

month = oct,

doi = "10.1109/IECON.2016.7794071",

language = "English",

pages = "2022 -- 2027",

booktitle = "Proceedings of IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE Press",

note = "42nd Conference of the Industrial Electronics Society, IECON 2016 : 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",

url = "http://www.iecon2016.org/?jjj=1471434927195, http://www.iecon2016.org/",

}

Lei, M, Yang, Z, Wang, Y, Xu, H, Meng, L, Quintero, JCV & Guerrero, JM 2016, Design of Energy Storage Control Strategy to Improve the PV System Power Quality. in Proceedings of IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society. IEEE Press, pp. 2022 - 2027, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/2016. https://doi.org/10.1109/IECON.2016.7794071

Design of Energy Storage Control Strategy to Improve the PV System Power Quality. / Lei, Mingyu; Yang, Zilong; Wang, Yibo et al.
Proceedings of IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society. IEEE Press, 2016. p. 2022 - 2027.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Design of Energy Storage Control Strategy to Improve the PV System Power Quality

AU - Lei, Mingyu

AU - Yang, Zilong

AU - Wang, Yibo

AU - Xu, Honghua

AU - Meng, Lexuan

AU - Quintero, Juan Carlos Vasquez

AU - Guerrero, Josep M.

PY - 2016/10

Y1 - 2016/10

N2 - Random fluctuation of PV power is becoming a more and more serious problem affecting the power quality and stability of grid as the PV penetration keeps increasing recentyears. Aiming at this problem, this paper proposed a control strategy of energy storage system based on Model Predictive Control (MPC). By the continuous optimizing of MPC, we can obtain the system parameters accurately, and then calculate the energy storage power. At the same time, this control took state of charge (SOC) and other parameters into account to ensure the health and stability of the energy storage units. Finally, simulation results proved the proposed control strategy had good performance and robustness.

AB - Random fluctuation of PV power is becoming a more and more serious problem affecting the power quality and stability of grid as the PV penetration keeps increasing recentyears. Aiming at this problem, this paper proposed a control strategy of energy storage system based on Model Predictive Control (MPC). By the continuous optimizing of MPC, we can obtain the system parameters accurately, and then calculate the energy storage power. At the same time, this control took state of charge (SOC) and other parameters into account to ensure the health and stability of the energy storage units. Finally, simulation results proved the proposed control strategy had good performance and robustness.

KW - Energy storage

KW - Power fluctuation

KW - Power quality

KW - Model predictive control

U2 - 10.1109/IECON.2016.7794071

DO - 10.1109/IECON.2016.7794071

M3 - Article in proceeding

SP - 2022

EP - 2027

BT - Proceedings of IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Press

T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016

Y2 - 24 October 2016 through 27 October 2016

ER -

Design of Energy Storage Control Strategy to Improve the PV System Power Quality

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