Controller design for PMSG-wind turbine
Permanent magnet synchronous generator (PMSG) direct driven wind turbines are getting more popular as the cost of the materials required for the permanent magnet had decreased over the years. Hence, it is important that the appropriate controller system is designed to ensure the stability of t...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/40537 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Summary: | Permanent magnet synchronous generator (PMSG) direct driven wind turbines are
getting more popular as the cost of the materials required for the permanent magnet had
decreased over the years. Hence, it is important that the appropriate controller system is
designed to ensure the stability of the system.
This project explores the design of a PMSG wind turbine generation system (WTGS).
Conventional control theory is applied to the system such that it is able to achieve
maximum efficiency at lower wind speeds while capping the power output at higher
wind speeds. The system is subdivided into different blocks and the s-domain
representations in the dq0 frame are obtained for each block. With the obtained transfer
function, cascaded PI controllers are designed with the pole-zero cancellation method.
Two models of the WTGS are setup in Matlab/Simulink. One is made up of the blocks
using the available library in SimPowerSystems while the other is the mathematical
implementation of the WTGS. The models are then connected to an infinity bus to
evaluate the performance of the WTGS.
In both models, the designed system is able to maintained high efficiency at low wind
speeds and regulates power transmission at higher wind speeds. However, in the
SimPowerSystems model, the performance of the inner current loops is not satisfactory
due to the nature of the design methodology. As a result, the mathematical model is able
to achieve unity power factor most of the time while the SimPowerSystems model is
unable to do so.
Further improvement is required on the models so that more sophisticated control
strategies can be explored. |
---|