Optimization Method of Hybrid Energy Storage Capacity of Wind Farm

DOI

10.2991/iceep-16.2016.3How to use a DOI?

Keywords

DC micro network, frequency spectrum analysis, chance constrained programming, genetic algorithm

Abstract

The hybrid energy storage is used to stabilize the wind fluctuations for intermittent generation and random of distributed generation system in DC micro network. The power of wind farm is analyzed by Fast Fourier transform (FFT) while the minimum hybrid energy storage compensation capacity is obtained by using anti Fourier transform. According to the characteristics of different energy storage devices, adopting battery and supercapacitor hybrid energy storage, with mixed storage cost as the objective function and hybrid energy storage's state of charge and the maximum output power system performance as the constraint, the chance constrained programming is used to make the fluctuation of output power under a certain confidence level, which also meet the electrical quality and economy. The optimal solution of hybrid energy storage capacity is carried out by using genetic algorithm based on stochastic simulation. Finally, the simulation results show that the method is effective.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kedong Zhu
AU  - Fei Mei
AU  - Chenyu Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Optimization Method of Hybrid Energy Storage Capacity of Wind Farm
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 16
EP  - 23
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.3
DO  - 10.2991/iceep-16.2016.3
ID  - Zhu2016/11
ER  -