@inproceedings{35c0c5337cc64fd08f08a1853607d475,
title = "Squirrel-cage induction generator system using probabilistic fuzzy neural network for wind power applications",
abstract = "An intelligent controlled three-phase squirrel-cage induction generator (SCIG) system for grid-connected power application using probabilistic fuzzy neural network (PFNN) is proposed in this study. First, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three-phase SCIG to power grid. Then, the characteristics of wind turbine emulator are described in detail. Moreover, in order to improve the transient and steady-state responses of the DC-link voltage of the SCIG system, the intelligent PFNN controller is proposed for DC/AC power inverter to replace the conventional proportional-integral (PI) controller. The online trained PFNN using back propagation learning algorithm is implemented as the tracking controller for the DC-link voltage of the DC/AC power inverter. Furthermore, the network structure and the online learning algorithm of the PFNN are introduced in detail. Finally, the feasibility and effectiveness of the SCIG system for grid-connected wind power applications is verified with experimental results.",
keywords = "power converter, probabilistic fuzzy neural network, squirrel-cage induction generator",
author = "Lin, {Faa Jeng} and Tan, {Kuang Hsiung}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 ; Conference date: 02-08-2015 Through 05-08-2015",
year = "2015",
month = nov,
day = "25",
doi = "10.1109/FUZZ-IEEE.2015.7337836",
language = "???core.languages.en_GB???",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Adnan Yazici and Pal, {Nikhil R.} and Hisao Ishibuchi and Bulent Tutmez and Chin-Teng Lin and Sousa, {Joao M. C.} and Uzay Kaymak and Trevor Martin",
booktitle = "FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems",
}