Optimal Operation Model for Virtual Power Plant in Datong Area

Hei Wei; Rasyidah Mohamed Idris

doi:10.4028/www.scientific.net/AMM.785.627

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 785Optimal Operation Model for Virtual Power Plant in...

Optimal Operation Model for Virtual Power Plant in Datong Area

Abstract:

Datong area has abundant wind energy. Due to problem in large scale of wind power grid connection, this paper introduces virtual power plant concept. As for beginning, power source characteristics of the wind farm, pumped storage power station and the thermal power plant are taken for analysis. Three types of different power plants are chosen to represent the virtual power plant modeling as well as adopting the NSGA2 optimization. As a conclusion, this case study proved that virtual power plant can increase the benefits of each power plant and the wind power plant output power curve become smoother.

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Periodical:

Applied Mechanics and Materials (Volume 785)

Pages:

627-631

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.785.627

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Online since:

August 2015

Authors:

Hei Wei, Rasyidah Mohamed Idris

Keywords:

Energy Storage, Virtual Power Plant, Wind Farm

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References

[1] XU Man, QIAO Ying, LU Zongxiang．A comprehensive error evaluation method for short-term wind power prediction[J]. Automation of Electric Power Systems, 2011, 35(12) : 20-26.

Google Scholar

[2] WANG Caixia, QIAO Ying，LU Zongxiang. A method for determination of spinning reserve in wind-thermal power systems considering wind power benefits [J]. Automation of Electric Power Systems, 2012, 36(4) : 16-21.

DOI: 10.1109/supergen.2009.5348128

Google Scholar

[3] JIANG Yuewen, CHEN Chong, WEN Buying. Particle swarm research of stochastic simulation for unit commitment in wind farms integrated power system [J]. Transactions of China Electro-technical Society, 2009, 24(6) : 129-137.

Google Scholar

[4] Hrvoje P, Igor K, Tomislav C．Virtual power plant mid-term dispatch optimization[J]. Applied Energy, 2013, 1(1)：134-141.

Google Scholar

[5] Wei zhinong, Yu shuang, Sun guoqing. The concept and development of the virtual power plant. Automation of Electric Power System, Vol. 37 No. (2013).

Google Scholar

[6] ASMUS P. Micro grids, virtual power plants and our distributed energy future [J]. The Electricity Journal, 2010, 23(10) : 72-82.

DOI: 10.1016/j.tej.2010.11.001

Google Scholar

[7] MORAISH, CARDOSOM, CASTANHEIRAL, et al. VPP information needs for effective operation in competitive electricity markets[C]/International Conference on Industrial Informatics, July23-26, 2007, Viennu, Austria: 1183-1188.

Google Scholar

[8] BRAUN M, STRAUSS P. A review on aggregation approaches of controllable distributed energy units in electrical power systems [J]. International Journal of Distributed Energy Resources, 2008, 4(4) : 297-319.

Google Scholar