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Optimal energy storage sizing based on wind curtailment reduction

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Abstract
The rapid growth in the integration of renewable energy sources (RES) such as wind and solar, promoted by environmental and economic (environmic) incentives, can lead to the current/voltage congestion problem when the distribution lines/cables can no longer accommodate the produced (green) power. This is a substantial challenges for distribution system operators (DSOs). For this problem, curtailing the excessive wind power, and/or expanding the capacity of the distribution lines/cables are possible (but not preferred) solutions. In an active network management scheme, energy storage can be effectively used as a short-term solution for the congestion management. This paper proposes an optimization formulation to assess the techno-economic possibility of employing storage, from DSO point of view, such that the amount of wind curtailment is minimized, and the congestion is avoided. A realistic test system is used with measured load and wind profile data across a year. The calculated optimal storage sizes and the corresponding net present values (NPVs) are compared with "do nothing" scenario in which the the excessive wind power is simply curtailed to alleviate the congestion.
Keywords
Wind energy, Storage

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Please use this url to cite or link to this publication:

MLA
Moradzadeh, Mohammad, Jan Van de Vyver, and Lieven Vandevelde. “Optimal Energy Storage Sizing Based on Wind Curtailment Reduction.” International Conference on Renewable Energy Research and Applications. 2014. 325–329. Print.
APA
Moradzadeh, M., Van de Vyver, J., & Vandevelde, L. (2014). Optimal energy storage sizing based on wind curtailment reduction. International Conference on Renewable Energy Research and Applications (pp. 325–329). Presented at the 3rd THE INTERNATIONAL CONFERENCE on RENEWABLE ENERGY RESEARCH and APPLICATIONS (ICRERA).
Chicago author-date
Moradzadeh, Mohammad, Jan Van de Vyver, and Lieven Vandevelde. 2014. “Optimal Energy Storage Sizing Based on Wind Curtailment Reduction.” In International Conference on Renewable Energy Research and Applications, 325–329.
Chicago author-date (all authors)
Moradzadeh, Mohammad, Jan Van de Vyver, and Lieven Vandevelde. 2014. “Optimal Energy Storage Sizing Based on Wind Curtailment Reduction.” In International Conference on Renewable Energy Research and Applications, 325–329.
Vancouver
1.
Moradzadeh M, Van de Vyver J, Vandevelde L. Optimal energy storage sizing based on wind curtailment reduction. International Conference on Renewable Energy Research and Applications. 2014. p. 325–9.
IEEE
[1]
M. Moradzadeh, J. Van de Vyver, and L. Vandevelde, “Optimal energy storage sizing based on wind curtailment reduction,” in International Conference on Renewable Energy Research and Applications, Milwaukee, WI, USA, 2014, pp. 325–329.
@inproceedings{5787453,
  abstract     = {The rapid growth in the integration of renewable energy sources (RES) such as wind and solar, promoted by environmental and economic (environmic) incentives, can lead to the current/voltage congestion problem when the distribution lines/cables can no longer accommodate the produced (green) power. This is a substantial challenges for distribution system operators (DSOs). For this problem, curtailing the excessive wind power, and/or expanding the capacity of the distribution lines/cables are possible (but not preferred) solutions. In an active network management scheme, energy storage can be effectively used as a short-term solution for the congestion management. This paper proposes an optimization formulation to assess the techno-economic possibility of employing storage, from DSO point of view, such that the amount of wind curtailment is minimized, and the congestion is avoided. A realistic test system is used with measured load and wind profile data across a year. The calculated optimal storage sizes and the corresponding net present values (NPVs) are compared with "do nothing" scenario in which the the excessive wind power is simply curtailed to alleviate the congestion.},
  author       = {Moradzadeh, Mohammad and Van de Vyver, Jan and Vandevelde, Lieven},
  booktitle    = {International Conference on Renewable Energy Research and Applications},
  isbn         = {9781479937950},
  issn         = {2377-6897},
  keywords     = {Wind energy,Storage},
  language     = {eng},
  location     = {Milwaukee, WI, USA},
  pages        = {325--329},
  title        = {Optimal energy storage sizing based on wind curtailment reduction},
  url          = {http://dx.doi.org/10.1109/ICRERA.2014.7016405},
  year         = {2014},
}

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