@article{ajer2013133,
author={{Mu-ti, A Li-nu-er A and Qin, CHAO and Bu-la-yin, TU Er-xun Yi and Jian-chun, LUO},
title={Application of Fuzzy Control for the Energy Storage System in Improving Wind Power Prediction Accuracy},
journal={American Journal of Energy Research},
volume={1},
number={3},
pages={54--58},
year={2013},
url={http://pubs.sciepub.com/ajer/1/3/3},
issn={2328-7330},
abstract={Today the elaboration degree of wind meteorological information far from enough, which leads to the low wind farm wind power prediction accuracy, causing grid scheduling problems , so as to result in instability in power systems easily. This paper selects zinc bromide battery energy storage system for the measurement of improving the forecast accuracy of the wind farms, adopts fuzzy control and sets up fuzzy control rule base for the energy storage system considering the error probability characteristics and the charge state SOC of the energy storage to control the storage charge and discharge power, and does simulation analysis of a wind farm in XinJiang which introduced into the energy storage. At the same time, compared with the traditional control strategy the results indicate that fuzzy control strategy of energy storage system can more effectively improve the wind power short-term forecast accuracy significantly,80% of the predicted value meet the requirements of the state grid has less than ¡À 25%.},
doi={10.12691/ajer-1-3-3}
publisher={Science and Education Publishing}
}