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An optimal energy storage capacity calculation method for 100MW wind farm

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3 Author(s)
Liang Liang ; China Electric Power Research Institute, No.15, Xiaoying Rd(E), Qinghe, Beijing 100192, China ; Li Jianlin ; Hui dong

In the recent years, wind energy generation has been focused as a clean and inexhaustible energy and penetration level have increased throughout the world. But the wind power generation is not stable and cannot supply constant electrical output. Since the wind power output depends on wind, as a natural source, the electrical output always fluctuates due to the weather, site conditions and other possible factors. This variability brings with it challenges when one attempts to integrate large-scale wind power scheme into grids, since to maintain satisfactory grid operation, energy supply and demand must remain in balance at all time. Inserting energy storage system into large scale wind farm to eliminate the fluctuation become a solution for developing large scale renewable energy system connected with grid. By introducing the BESS into wind farm, the generated power is smoothed This research aims at presenting an energy storage capacity calculation example for large scale wind farm. Based on one year data, statistics result shows real power fluctuations in different time scale: one year and one day. With different time scale, different power compensation strategy will enhance the reliability of power grid and bring better economy result. According to the simulation result, this article presents an energy storage system scheme for 100MW wind farm. With this scheme, the real power fluctuations will be acceptable by power grid It has been made clear that the installed battery can suppress these fluctuations and that the effect of battery on suppression of these fluctuations depends on battery capacity. This article present a result of the battery capacity for a energy storage system in 100MW wind farm and more, shows a novel method to calculate the optimal battery storage capacity (MWh) and the appropriate power converter capacity (MW) according to different control strategy.

Published in:

Power System Technology (POWERCON), 2010 International Conference on

Date of Conference:

24-28 Oct. 2010