Analysis on Wind Power System Reactive Power Optimization of Jiujiang Region Power Grid
Authors
Zhang Shunhua, Wang Zongyao, Yang Xiaopin, Xu Huijun
Corresponding Author
Zhang Shunhua
Available Online September 2015.
- 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/).
Cite this article
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 -