Development of an Analytically Described Pitch Regulator for a Wind Turbine to Be Used for Grid Disturbance Studies
Author(s) -
Alexandra Tokat,
Torbjörn Thiringer,
Peiyuan Chen
Publication year - 2013
Publication title -
journal of energy
Language(s) - English
Resource type - Journals
eISSN - 2356-735X
pISSN - 2314-615X
DOI - 10.1155/2013/203174
Subject(s) - control theory (sociology) , blade pitch , turbine , pitch control , spinning , controller (irrigation) , grid , wind power , regulator , voltage , pitch angle , engineering , wind speed , computer science , physics , aerospace engineering , electrical engineering , mathematics , control (management) , mechanical engineering , meteorology , agronomy , biochemistry , chemistry , geometry , artificial intelligence , geophysics , gene , biology
In this paper, a pitch controller for a variable-speed wind turbine to be used in the high wind speed region is derived. The pitch regulator parameters are determined using analytical expressions and are compared with numerical calculations. In order to derive the pitch regulated wind turbine model, blade element momentum theory is utilized and reformulated analytically. Appropriate simplifications are made and, finally, the analytically derived pitch regulated wind turbine model is tested under grid disturbances such as voltage dips and spinning reserve provision. From this work it was found that by linearizing the blade profiles, one can analytically derive a fully functioned pitch regulator. In spite of all nonlinearities, a single pitch controller setting which is valid for the whole operation region is shown to be sufficient. This system is tested under grid disturbances and it is proven that the system is capable of operating well during a 0% remaining voltage dip and also during the voltage recovery back to the rated voltage level. Accordingly, grid codes commonly referred to can be handled with this simply derived pitch regulator. Moreover, it is shown that the derived system works well for a spinning reserve application using a 90% spinning reserve ability and still maintains a robust turbine control
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom