NDLI: The capacity optimization of hybrid energy storage system for wind power smoothing

Content Provider	IEEE Xplore Digital Library
Author	Li Jianxiang Yuan Hong Zhang Bingliang Liu Haibo Miao Xiaojian Sun Bohao Yang Shenquan
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Eng., Shandong Univ., Jinan, China (Miao Xiaojian; Sun Bohao) \|\| Electr. Power Res. Inst., State Grid Shandong Electr. Power Co., Jinan, China (Li Jianxiang; Yuan Hong; Zhang Bingliang; Liu Haibo) \|\| Econ. & Technol. Res., Inst. State Grid ShanDong Electr. Power Co., Jinan, China (Yang Shenquan)
Abstract	Wind power system plays an important role in smoothing wind power fluctuations. In consideration of limited advantage of single energy storing dielectric, the hybrid energy storage system has a good application prospect with its merits complementation. In this paper, firstly the types of power and energy storage are used to establish the hybrid energy storage power system. Considering their characteristics, the energy storage power system model is established, which can combine advantages of different energy storage devices. And then, according to the constraint of charging and discharging power rate of two mediums and capacity contrast constraint, energy storage capacity optimization model is set up aiming to minimize the sum value of running cost and construction cost. At last, the algorithms and solving steps are proposed. The analysis on actual operating data of wind power plant can verify the effective and reasonability of the proposed method.
Starting Page	2106
Ending Page	2110
File Size	283665
Page Count	5
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6886029
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy storage Wind power generation Power systems Discharges (electric) Smoothing methods Partial discharges Optimization smoothing hybrid energy storage system capacity optimization
Content Type	Text
Resource Type	Article

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