Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering

Genetic Algorithm Based Modeling of Doubly-Fed Wind Farms

Authors
Yujia Gu, Yinfeng Wang, Xutao Li, Bei Tian, Feng Gao, Chao Lu
Corresponding Author
Yujia Gu
Available Online October 2015.
DOI
https://doi.org/10.2991/seee-15.2015.7How to use a DOI?
Keywords
doubly-fed wind farm; matlab/simulink; trajectory sensitivity analysis; model simulation; genetic algorithm
Abstract
Faced with the drawback of conventional doubly-fed wind farm models, which cannot reliably reflect the actual control law and dynamic characteristics, a method of complex characteristics modeling based on simulation is developed in this paper. The software MATLAB/Simulink platform is utilized to create a universal equivalent model, including structure characters and control modes. In order to make the parameters identification process of higher-order wind farm models simplifier trajectory sensitivity analysis method is used to select dominant dynamic parameters. Besides, a method melting the bright side of model simulation and the genetic algorithm is proposed to search the optimal parameter combination. The test results on the IEEE 9-bus system demonstrate the effectiveness of the proposed comprehensive method.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Sustainable Energy and Environmental Engineering
Part of series
Advances in Engineering Research
Publication Date
October 2015
ISBN
978-94-6252-119-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/seee-15.2015.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yujia Gu
AU  - Yinfeng Wang
AU  - Xutao Li
AU  - Bei Tian
AU  - Feng Gao
AU  - Chao Lu
PY  - 2015/10
DA  - 2015/10
TI  - Genetic Algorithm Based Modeling of Doubly-Fed Wind Farms
BT  - 2015 International Conference on Sustainable Energy and Environmental Engineering
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/seee-15.2015.7
DO  - https://doi.org/10.2991/seee-15.2015.7
ID  - Gu2015/10
ER  -