NDLI: Optimization smoothing control of large-scale wind farm based on hybrid energy storage

Content Provider	IEEE Xplore Digital Library
Author	Qian Chen Xiaoyi Chen Lingchuan Nai Zhuoran Li Yangfan Liao Jian Xu
Copyright Year	2014
Description	Author affiliation: Coll. of Energy & Electr. Eng., Hohai Univ. Nanjing, Nanjing, China (Qian Chen; Xiaoyi Chen; Lingchuan Nai; Zhuoran Li; Yangfan Liao) \|\| Nanjing Sifang E-Power Autom. Co. Ltd., Nanjing, China (Jian Xu)
Abstract	As a large amount of fluctuated power source connect to power grid, not only the operation and dispatching become more difficult, but also the security and stability become weaker. It is very important and necessary to smooth the fluctuated injection with energy storages, such as being used in a large-scale wind farm. An optimization smoothing method based on hybrid energy storage system (HESS), which is use battery and super capacitor as the storage media, is proposed in this paper. The model of HESS is established as well as the model of dispatching system. Then, the model of short-term optimization dynamic control is established, and the algorithm based on particle swarm optimization (PSO) is designed. Simulation indicates that the model of dispatching system with HESS in wind farm is reasonable and accuracy enough, the wind power injection is smoother, and the HESS is of higher efficiency.
Starting Page	2871
Ending Page	2877
File Size	20053516
Page Count	7
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993848
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Batteries Capacitors System-on-chip Wind farms Dispatching Mathematical model Wind Farm Hybrid energy storage system (HESS) Super capacitor storage Battery storage Optimization control
Content Type	Text
Resource Type	Article

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