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International Journal of PhotoenergyVolume 2014 2014, Article ID 539414, 13 pages

Research Article

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

School of Control and Computer Engineering, North China Electric Power University, P.O. Box 570, Beijing 102206, China

Received 10 December 2013; Revised 5 February 2014; Accepted 19 February 2014; Published 17 April 2014

Academic Editor: Mahmoud M. El-Nahass

Copyright © 2014 Kehe Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An optimal capacity allocation of large-scale wind-photovoltaic- PV- battery units was proposed. First, an output power model was established according to meteorological conditions. Then, a wind-PV-battery unit was connected to the power grid as a power-generation unit with a rated capacity under a fixed coordinated operation strategy. Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost NPC was calculated through hybrid iteration-adaptive hybrid genetic algorithm HIAGA. The optimal capacity ratio among wind generator, PV array, and battery device also was calculated simultaneously. A simulation was conducted based on the wind-PV-battery unit in Zhangbei, China. Results showed that a wind-PV-battery unit could effectively minimize the NPC of power-generation units under a stable grid-connected operation. Finally, the sensitivity analysis of the wind-PV-battery unit demonstrated that the optimization result was closely related to potential wind-solar resources and government support. Regions with rich wind resources and a reasonable government energy policy could improve the economic efficiency of their power-generation units.

Autor: Kehe Wu, Huan Zhou, and Jizhen Liu

Fuente: https://www.hindawi.com/


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