@inproceedings{c9053afd17904f7e89847a7e1968c2cf,
title = "Neural network based power tracking control of wind farm",
abstract = "This paper investigates the power tracking control problem of wind farm consisting of a large number of wind turbines, each of which is to deliver certain amount of power so that the combined power from the wind farm is able to meet the total power demand. For such power tracking control problem, the precise total demanded power is unavailable and there involve modeling uncertainties as well as external disturbances. To address the issue of unknown power trajectory, an analytical model is proposed to reconstruct the unknown desired power profile. Neural network based control scheme is developed to ensure stable power tracking.",
keywords = "Neural network, Power tracking, Unknown desired power profile, Wind farm",
author = "Liyuan LIANG and Yongduan SONG and Mi TAN",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.",
year = "2017",
doi = "10.1007/978-3-319-59081-3\_7",
language = "English",
isbn = "9783319590806",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "52--59",
editor = "Fengyu CONG and Andrew LEUNG and Qinglai WEI",
booktitle = "Advances in Neural Networks, ISNN 2017: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Japan, June 21-26, 2017, Proceedings, Part II",
}