Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

One Power Control Strategy of Wind Farm Based on the Battery Energy Storage

Authors
Haiping He, Jiang Cao, Yu Sun, Qinglin Bo, Lei Li, Xuemei Yang
Corresponding Author
Haiping He
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.7How to use a DOI?
Keywords
Wind Power Prediction, Battery Energy Storage, Smooth Control, Peak Shaving, Hybrid Power Control.
Abstract
Power output control of wind farm is an important way of improving the wind farm performance and enhancing the ability of power grid to connect wind farm. In allusion to the power fluctuation caused by large-scale integration of wind power, this paper proposes a power smooth control strategy of battery energy storage based on the hybrid power prediction. This control strategy has constructed the dynamic reference active currents according to the hourly forecast results of wind power and demand of load power. By tracking active currents of battery energy storage system, the smooth control of wind power output will be realized, and can respond to the power balance demand of the system as well. The effectiveness and practicability of the proposed control strategy are shown by the simulation results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/ammee-17.2017.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Haiping He
AU  - Jiang Cao
AU  - Yu Sun
AU  - Qinglin Bo
AU  - Lei Li
AU  - Xuemei Yang
PY  - 2017/06
DA  - 2017/06
TI  - One Power Control Strategy of Wind Farm Based on the Battery Energy Storage
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.7
DO  - https://doi.org/10.2991/ammee-17.2017.7
ID  - He2017/06
ER  -