Analysis on Wind Power System Reactive Power Optimization of Jiujiang Region Power Grid

DOI

10.2991/iea-15.2015.106How to use a DOI?

Keywords

wind power system; reactive power optimization; genetic algorithm; improvement fish swarm algorithm

Abstract

With the uncertainty and variability of wind, Wind turbines interconnection will change the original structure of the system and influence the power flow, the network loss and voltage stability of power grid. Therefore, a fast, practical calculation methods of the grid with wind power are in urgent need to make the system reactive power compensation economic and effective, the voltage regulation rapid and accurate. According to the characteristics of wind power system, this document present an improved genetic artificial fish algorithm which can quickly optimize the wind power system reactive power. The reactive power optimization results of Jiujiang Region power grid prove that this algorithm is effective.

Copyright

© 2015, 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  - Zhang Shunhua
AU  - Wang Zongyao
AU  - Yang Xiaopin
AU  - Xu Huijun
PY  - 2015/09
DA  - 2015/09
TI  - Analysis on Wind Power System Reactive Power Optimization of Jiujiang Region Power Grid
BT  - Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)
PB  - Atlantis Press
SP  - 433
EP  - 435
SN  - 2352-5401
UR  - https://doi.org/10.2991/iea-15.2015.106
DO  - 10.2991/iea-15.2015.106
ID  - Shunhua2015/09
ER  -